The document summarizes a presentation about next generation mathematical programming modeling and solving tools. It discusses how optimization problems can be modeled and solved, including through the use of modeling languages and commercial solvers. It provides examples of optimization models for problems in various domains like supply chain optimization, power generation scheduling, and maritime shipping. The presentation argues that new technologies that can automatically generate optimization models from process flowsheets will help solve optimization problems for engineers and business users more easily.
This document discusses best practices for communicating science to different audiences. It provides guidance on:
1) Preparing presentations by considering the audience, limiting technical jargon, and focusing on the main message.
2) Structuring presentations with an introduction, conclusion, and emphasis on meaning making for the audience.
3) Using techniques like eye contact, body language and varying speech to engage audiences and overcome the "curse of knowledge" where presenters assume more background than listeners have.
The document discusses issues monitoring and identification as part of corporate social responsibility. It outlines a 7-step strategic issues management process that includes scanning, identification, analysis, prioritization, formulation of response, implementation, and evaluation. It identifies 5 leading forces that can predict social issues: leading events, authorities/advocates, literature, organizations, and political actions. The document also discusses defining issues clearly, ranking issues based on relevance, actionability, criticality and urgency, and communicating corporate social responsibility through various means such as media relations and social media.
This document introduces SWOT analysis and discusses its objectives, components, usefulness, and limitations. The objectives are to describe SWOT analysis, examine its usefulness, and make judgements about its benefits and limitations. SWOT analysis involves identifying the strengths, weaknesses, opportunities, and threats of a business or project. It is useful for setting strategic objectives, understanding a business better, addressing weaknesses, deterring threats, and capitalizing on opportunities. However, SWOT has limitations such as not prioritizing issues, not providing solutions, generating too many ideas, and producing information not all of which is useful.
The document provides an introduction to Industrial Modeling Language (IML), which allows users to configure data for modeling and solving large-scale industrial optimization problems. It describes how IML data is categorized into quantities, logic, and quality dimensions. The reference manual focuses specifically on configuring quantity data using frames with different features and fields. Frames are similar to sheets in a spreadsheet and are used to apply quantity-logic-quality attributes to unit-operation-port-state superstructure keys. The document outlines several basic frames and their fields for configuring quantity-only problem types.
This document discusses best practices for communicating science to different audiences. It provides guidance on:
1) Preparing presentations by considering the audience, limiting technical jargon, and focusing on the main message.
2) Structuring presentations with an introduction, conclusion, and emphasis on meaning making for the audience.
3) Using techniques like eye contact, body language and varying speech to engage audiences and overcome the "curse of knowledge" where presenters assume more background than listeners have.
The document discusses issues monitoring and identification as part of corporate social responsibility. It outlines a 7-step strategic issues management process that includes scanning, identification, analysis, prioritization, formulation of response, implementation, and evaluation. It identifies 5 leading forces that can predict social issues: leading events, authorities/advocates, literature, organizations, and political actions. The document also discusses defining issues clearly, ranking issues based on relevance, actionability, criticality and urgency, and communicating corporate social responsibility through various means such as media relations and social media.
This document introduces SWOT analysis and discusses its objectives, components, usefulness, and limitations. The objectives are to describe SWOT analysis, examine its usefulness, and make judgements about its benefits and limitations. SWOT analysis involves identifying the strengths, weaknesses, opportunities, and threats of a business or project. It is useful for setting strategic objectives, understanding a business better, addressing weaknesses, deterring threats, and capitalizing on opportunities. However, SWOT has limitations such as not prioritizing issues, not providing solutions, generating too many ideas, and producing information not all of which is useful.
The document provides an introduction to Industrial Modeling Language (IML), which allows users to configure data for modeling and solving large-scale industrial optimization problems. It describes how IML data is categorized into quantities, logic, and quality dimensions. The reference manual focuses specifically on configuring quantity data using frames with different features and fields. Frames are similar to sheets in a spreadsheet and are used to apply quantity-logic-quality attributes to unit-operation-port-state superstructure keys. The document outlines several basic frames and their fields for configuring quantity-only problem types.
Mountain Mudd is a specialty coffee brand that originated in the United States and is now expanding internationally. They are opening their first location in Izmir, Turkey, with plans to eventually open locations in other major Turkish cities as well. The new Izmir location will offer a variety of high-quality coffee drinks and foods for customers looking for a quick coffee on the go. Mountain Mudd aims to become the top coffee brand in Turkey and attract customers through their unique products and special promotional events with famous Turkish celebrities at their Izmir grand opening.
This document is about French soccer player Éric Abidal. It provides clues about his background, including being born in Lyon, France in 1979 and having black skin. It also notes that he currently plays defense for FC Barcelona and had previously played for Olympique Lyonnais, though does not explicitly state his name until the end.
Developing the next generation of Real Time Optimization Technologies (Blend ...Alkis Vazacopoulos
This document introduces real-time blend optimization for petroleum refineries. It describes modeling multiple blending processes, component tanks, and products over multiple time periods to optimize blending across the refinery. This allows sharing components between blenders to produce on-specification products at lowest cost. It also integrates upstream process models to manipulate feedstock properties before blending. This helps avoid quantity and quality issues during blending and minimize costs.
O documento descreve a abertura de uma exposição chamada "Arte & Toiros" em Évora, Portugal em 10 de julho de 2009. A exposição homenageia a arte do toureio e inclui obras de pintura da artista Maria Sobral Mendonça. A exposição faz parte das comemorações da "XII Tourada Real" e conta com a presença dos Duques de Bragança.
Economic Affairs Extract From Pf ManifestoCKandeta
The document outlines the Patriotic Front party's economic policies and strategies in Zambia, including plans to develop key sectors like infrastructure, tourism, and land. It details strategies to streamline development planning and the finance portfolio. It also discusses monetary and fiscal policies like reviewing taxes, interest rates, and the mining tax regime. Infrastructure development priorities include rehabilitating roads, bridges, airports and the rail network.
Este documento describe los pasos para crear una máquina virtual dual con Windows 7 y Ubuntu 16.04 usando VirtualBox. Primero se crea la máquina virtual y se configura con memoria RAM y un disco duro virtual. Luego se instala Windows 7 siguiendo los pasos típicos. Después se carga el archivo ISO de Ubuntu y se instala junto a Windows para crear la instalación dual. Al reiniciar, aparece un menú para seleccionar entre Windows o Ubuntu, demostrando que se logró el arranque dual exitosamente.
1) After a precinct's boundaries are modified, the newly defined precinct may petition to shift the entire precinct to wet status via a local-option election. However, the portion originally designated as dry remains dry until such an election is held.
2) The qualified electors of the existing precinct that now encompasses the original dry precinct can petition for a local-option election to alter the dry designation.
3) Question 3 is moot given the answers to questions 1 and 2.
This short document promotes the creation of presentations using Haiku Deck on SlideShare. It contains photos from three users and suggests that the reader may be inspired to create their own Haiku Deck presentation.
Post-Rio to Post-2015: Planning International Stakeholder EngagementMatthew Reading-Smith
The document summarizes a presentation about planning international stakeholder engagement after the Rio+20 Earth Summit. It discusses whether Rio+20 was a success or failure, highlights of the outcomes and failures, entry points in the post-Rio period, an upcoming stakeholder event, and initial findings from a stakeholder consultation.
La Unión Europea ha propuesto un nuevo paquete de sanciones contra Rusia que incluye un embargo al petróleo. El embargo prohibiría las importaciones de petróleo ruso por mar y por oleoducto, aunque se concederían exenciones temporales a Hungría y Eslovaquia. Este sexto paquete de sanciones de la UE pretende aumentar la presión económica sobre Rusia para que ponga fin a su invasión de Ucrania.
CONTINUOUSLY IMPROVE THE PERFORMANCE OF PLANNING AND SCHEDULING MODELS WITH P...Alkis Vazacopoulos
Continuously improving the accuracy and precision of planning and scheduling models is not new; unfortunately it is not institutionalized in practice. The intent of this paper is to highlight a relatively simple approach to historize or memorize past and present actual planning and scheduling data collected into what we call the past rolling horizon (PRH). The PRH is identical to the future rolling horizon (FRH) used in hierarchical production planning and model predictive control to manage omnipresent uncertainty in the model and data. Instead of optimizing future decisions such as throughputs, operating-modes and conditions we now optimize or estimate key model parameters. Although bias-updating using a single time-sample of data is common practice in advanced process control and optimization to incorporate “parameter” feedback, this is only realizable for real-time applications with comprehensive measurement systems. Proposed in this paper is the use of multiple synchronous or asynchronous time-samples in the past in conjunction with simultaneous reconciliation and regression to update a subset of the model parameters on a past rolling horizon basis to improve the performance of planning and scheduling models.
George Washington University - Next Generation of modeling and Solving ToolsAlkis Vazacopoulos
The document discusses next generation mathematical programming modeling and solving tools. It describes Industrial Algorithms' mission to provide advanced modeling and solving tools for industrial applications. It outlines Industrial Algorithms' industrial modeling frameworks which embed intellectual property related to process flowsheet modeling and problem solving methodology. The document also discusses IMPRESS, Industrial Algorithms' proprietary modeling platform, and provides examples of industrial modeling frameworks including a jet fuel supply chain and cogeneration system.
NY INFORMS METRO - Next Generation of modeling and Solving ToolsAlkis Vazacopoulos
The document discusses new mathematical programming modeling and solving tools being developed by Industrial Algorithms. It outlines their mission to provide advanced modeling and solving tools for industrial applications and decision making. Industrial Algorithms licenses their IMPRESS modeling framework and solvers to operating companies, software providers, and consultants. They also offer application support and consulting services. The company collaborates academically with several universities to further develop their tools.
The document proposes creating a "Big Mac Mate" (BMM) campaign using social media platforms like Twitter to address the "Biggest Challenge" of loneliness. It would involve organizing a "Big Mac Picnic" where people could meet other BMM users for companionship over hamburgers. The goal would be for the campaign to go "viral" by getting people to share pictures of the event on Twitter and spreading the idea of the BMM program.
The document describes an upcoming training program on strategic IT governance, information security management, and related topics. The training will be held in San Francisco and presented by experts from Oracle and Microsoft. It will consist of two parts, with the first part focusing on general IT management topics and the second on information security. Both tracks will cover current trends and frameworks. The training aims to help executives strengthen their organizations' IT strategies and security.
These all stem for the same root core problem. Most companies suffer from a lack of sensible strategy and extensively utilize market segmentation. Due to constant changes and competing priorities, resources are often overcommitted across multiple concurrent projects, causing delays. Customers' needs also frequently change mid-project, placing additional pressure on project managers to deliver on time and within budget.
Mountain Mudd is a specialty coffee brand that originated in the United States and is now expanding internationally. They are opening their first location in Izmir, Turkey, with plans to eventually open locations in other major Turkish cities as well. The new Izmir location will offer a variety of high-quality coffee drinks and foods for customers looking for a quick coffee on the go. Mountain Mudd aims to become the top coffee brand in Turkey and attract customers through their unique products and special promotional events with famous Turkish celebrities at their Izmir grand opening.
This document is about French soccer player Éric Abidal. It provides clues about his background, including being born in Lyon, France in 1979 and having black skin. It also notes that he currently plays defense for FC Barcelona and had previously played for Olympique Lyonnais, though does not explicitly state his name until the end.
Developing the next generation of Real Time Optimization Technologies (Blend ...Alkis Vazacopoulos
This document introduces real-time blend optimization for petroleum refineries. It describes modeling multiple blending processes, component tanks, and products over multiple time periods to optimize blending across the refinery. This allows sharing components between blenders to produce on-specification products at lowest cost. It also integrates upstream process models to manipulate feedstock properties before blending. This helps avoid quantity and quality issues during blending and minimize costs.
O documento descreve a abertura de uma exposição chamada "Arte & Toiros" em Évora, Portugal em 10 de julho de 2009. A exposição homenageia a arte do toureio e inclui obras de pintura da artista Maria Sobral Mendonça. A exposição faz parte das comemorações da "XII Tourada Real" e conta com a presença dos Duques de Bragança.
Economic Affairs Extract From Pf ManifestoCKandeta
The document outlines the Patriotic Front party's economic policies and strategies in Zambia, including plans to develop key sectors like infrastructure, tourism, and land. It details strategies to streamline development planning and the finance portfolio. It also discusses monetary and fiscal policies like reviewing taxes, interest rates, and the mining tax regime. Infrastructure development priorities include rehabilitating roads, bridges, airports and the rail network.
Este documento describe los pasos para crear una máquina virtual dual con Windows 7 y Ubuntu 16.04 usando VirtualBox. Primero se crea la máquina virtual y se configura con memoria RAM y un disco duro virtual. Luego se instala Windows 7 siguiendo los pasos típicos. Después se carga el archivo ISO de Ubuntu y se instala junto a Windows para crear la instalación dual. Al reiniciar, aparece un menú para seleccionar entre Windows o Ubuntu, demostrando que se logró el arranque dual exitosamente.
1) After a precinct's boundaries are modified, the newly defined precinct may petition to shift the entire precinct to wet status via a local-option election. However, the portion originally designated as dry remains dry until such an election is held.
2) The qualified electors of the existing precinct that now encompasses the original dry precinct can petition for a local-option election to alter the dry designation.
3) Question 3 is moot given the answers to questions 1 and 2.
This short document promotes the creation of presentations using Haiku Deck on SlideShare. It contains photos from three users and suggests that the reader may be inspired to create their own Haiku Deck presentation.
Post-Rio to Post-2015: Planning International Stakeholder EngagementMatthew Reading-Smith
The document summarizes a presentation about planning international stakeholder engagement after the Rio+20 Earth Summit. It discusses whether Rio+20 was a success or failure, highlights of the outcomes and failures, entry points in the post-Rio period, an upcoming stakeholder event, and initial findings from a stakeholder consultation.
La Unión Europea ha propuesto un nuevo paquete de sanciones contra Rusia que incluye un embargo al petróleo. El embargo prohibiría las importaciones de petróleo ruso por mar y por oleoducto, aunque se concederían exenciones temporales a Hungría y Eslovaquia. Este sexto paquete de sanciones de la UE pretende aumentar la presión económica sobre Rusia para que ponga fin a su invasión de Ucrania.
CONTINUOUSLY IMPROVE THE PERFORMANCE OF PLANNING AND SCHEDULING MODELS WITH P...Alkis Vazacopoulos
Continuously improving the accuracy and precision of planning and scheduling models is not new; unfortunately it is not institutionalized in practice. The intent of this paper is to highlight a relatively simple approach to historize or memorize past and present actual planning and scheduling data collected into what we call the past rolling horizon (PRH). The PRH is identical to the future rolling horizon (FRH) used in hierarchical production planning and model predictive control to manage omnipresent uncertainty in the model and data. Instead of optimizing future decisions such as throughputs, operating-modes and conditions we now optimize or estimate key model parameters. Although bias-updating using a single time-sample of data is common practice in advanced process control and optimization to incorporate “parameter” feedback, this is only realizable for real-time applications with comprehensive measurement systems. Proposed in this paper is the use of multiple synchronous or asynchronous time-samples in the past in conjunction with simultaneous reconciliation and regression to update a subset of the model parameters on a past rolling horizon basis to improve the performance of planning and scheduling models.
George Washington University - Next Generation of modeling and Solving ToolsAlkis Vazacopoulos
The document discusses next generation mathematical programming modeling and solving tools. It describes Industrial Algorithms' mission to provide advanced modeling and solving tools for industrial applications. It outlines Industrial Algorithms' industrial modeling frameworks which embed intellectual property related to process flowsheet modeling and problem solving methodology. The document also discusses IMPRESS, Industrial Algorithms' proprietary modeling platform, and provides examples of industrial modeling frameworks including a jet fuel supply chain and cogeneration system.
NY INFORMS METRO - Next Generation of modeling and Solving ToolsAlkis Vazacopoulos
The document discusses new mathematical programming modeling and solving tools being developed by Industrial Algorithms. It outlines their mission to provide advanced modeling and solving tools for industrial applications and decision making. Industrial Algorithms licenses their IMPRESS modeling framework and solvers to operating companies, software providers, and consultants. They also offer application support and consulting services. The company collaborates academically with several universities to further develop their tools.
The document proposes creating a "Big Mac Mate" (BMM) campaign using social media platforms like Twitter to address the "Biggest Challenge" of loneliness. It would involve organizing a "Big Mac Picnic" where people could meet other BMM users for companionship over hamburgers. The goal would be for the campaign to go "viral" by getting people to share pictures of the event on Twitter and spreading the idea of the BMM program.
The document describes an upcoming training program on strategic IT governance, information security management, and related topics. The training will be held in San Francisco and presented by experts from Oracle and Microsoft. It will consist of two parts, with the first part focusing on general IT management topics and the second on information security. Both tracks will cover current trends and frameworks. The training aims to help executives strengthen their organizations' IT strategies and security.
These all stem for the same root core problem. Most companies suffer from a lack of sensible strategy and extensively utilize market segmentation. Due to constant changes and competing priorities, resources are often overcommitted across multiple concurrent projects, causing delays. Customers' needs also frequently change mid-project, placing additional pressure on project managers to deliver on time and within budget.
marcus Evans data quality conference Paul Ormonde-james key speaker on data quality and solving the applications issues. A practical guide from his time at MBF Australia.
TRS provided tenant representation services to Chandler Macleod for office space in Sydney. Over a period of 7 months, TRS negotiated directly with DTZ, the property agents representing the lessor Investa, to consolidate Chandler Macleod's businesses into a new office space of over 2,000 square meters. The negotiations included identifying space needs, submitting property nominations, financial offers and negotiations, and finalizing the head of agreement and execution. Additional services involved renegotiating an existing lease and disposing of two other properties.
This document discusses the beginning and development of the Asean Harmonization network. It provides various meeting codes and dates related to the founding and growth of the quality improvement and knowledge management network. The codes and dates span from 2011 to 2012 and relate to topics like evidence base, quality morning talks, knowledge tools, success story telling, and the beginning of the network and quality improvement efforts.
The document describes the Technology, Engineering, Architecture, Management (TEAM) methodology, which is a commercially licensed variant of the General Enterprise Management methodology. TEAM uses model-driven techniques to support enterprise architecture, engineering, and management activities across the organization. These include enterprise modeling, functional inventory, reference architecture development, strategic management, quality assurance, and performance tracking. The methodology is mapped to various customer requirements and regulatory frameworks.
This document contains class notes on sequential logic design from a professor at PESIT South Campus. It discusses the construction of state diagrams for sequence detectors and counters. It provides tips for drawing state diagrams to detect sequences. An example problem is given to design a circuit to detect a sequence of three consecutive 1s using Moore and Mealy models. The solution shows drawing the state diagrams for the Mealy model detector with three states and filling in the state transitions and outputs.
CES Ltd is a recruitment firm founded in 2010 by Nick Peligno, a veteran of the industry with over 25 years of experience. The firm specializes in executive search and recruitment for hard-to-fill roles, particularly in financial services, broking, underwriting, and insurance. In 2012, CES successfully completed searches for positions such as a Senior Insurance Product Manager, CFO for a reinsurance company, and Marine Underwriter. Current searches include roles like a Sales Director for Affinity Partnerships and a Finance Leader for EMEA at a human capital consultancy.
This document appears to contain technical specifications, including measurements and part numbers. It lists various numeric codes that seem to refer to mechanical or electrical components, specifications, or settings. The document does not provide enough contextual information to understand its overall purpose or meaning.
TecDoc Digital launched a three-part direct mail campaign using XMPie software to promote its new capabilities at a trade show. Each personalized postcard featured the recipient's name within a graphic and invited them to a booth for a drawing. 25% of recipients visited the booth, and 10% requested a follow-up call after seeing the variable data capabilities demonstrated. The campaign successfully showcased TecDoc Digital's rebranding and exceeded expectations for driving traffic to their first-time trade show booth.
TRS represented AEGON in negotiations against D&D Real Estate, who acted on behalf of LC Management, the lessor. TRS managed the transaction for 6 months, including performing a space analysis, property search and nominations, inspections, financial offers and reporting, and negotiations. They also managed the fit out process for 2 months, providing probity services. The new lease was for an office space of 1,000 sqm in Parramatta to accommodate a new call center with an open plan design and existing fit out.
Multi-day strategic customer life cycle workshop, focusing on risk, churn, and winback. Features both individual and team case studies, in banking and telecom
This document discusses solutions for integrating schedules on NASA programs. It introduces Stuart Trahan's company, which provides Earned Value Management (EVM) solutions using Microsoft Office Project that comply with OMB and ANSI requirements. It also introduces a partner company, Pinnacle Management Systems, that specializes in enterprise project management solutions including EVM, project portfolio management, and enterprise project resource management, with experience in the aerospace, defense, and other industries. The document defines schedule integration and describes some methods including importing to a centralized Primavera database for review or using Primavera ProjectLink for updates, and challenges including inconsistent data formats and levels of detail across sub-schedules.
Tenant Representation Services (TRS) represented Kumon in negotiating a new lease directly with Knight Frank, who represented the landlord Tackelly. TRS assisted Kumon over 11 months with transaction management for 8 months, and fit out probity for 3 months. The new office space was 875 square meters located at Citadel Towers, 799 Pacific Highway in Chatswood.
This document summarizes a presentation given at the INFORMS Annual Meeting in 2008 about using Xpress-Tuner to automatically fine-tune the heuristics in Xpress-MP to improve solving mixed integer programs (MIPs). Xpress-Tuner allows tuning control parameters to find settings that reduce solve times by 2-10x on benchmark problems. Examples show tuning advertising and retail planning MIPs to meet time/gap targets. The document highlights Xpress-Tuner's new parallel tuning features and its ability to specialize heuristic threads to further optimize solutions.
This document discusses using the Xpress-Mosel modeling environment for solving data mining problems. It provides an overview of key Mosel features like integration of modeling and solving. It then discusses how Mosel can be used to model various common data mining problems like classification, regression, and clustering as optimization problems. These include formulations as linear programs, mixed integer programs, and stochastic programs.
We tested ODH|CPLEX 4.24 on Miplib Open-v7 Models, a public collection of 286 models to which and optimal solution has not been proven. 257 of these are known to have a feasible solution.
ODH|CPLEX proved optimality on 6 models and found better solutions in 2 hours, to 40% of the models with 12 threads and 35% with 8 threads. ODH|CPLEX matched on 21% of the models.
This document discusses optimizing fantasy football teams to maximize points scored over a 17-week season. It develops a nonlinear programming model using an evolutionary solver with 200 binary variables representing each player. The model aims to select players with the highest historical scoring averages who provide consistent weekly points and availability. Future improvements will add constraints to reduce total variance across positions and simulate different draft outcomes based on pick order, as well as calculating optimal bench players for bye-weeks.
This document outlines the scheduling rules for the National Football League (NFL) and presents an optimization of the NFL game schedule to maximize commercial value. The NFL earned $11.09 billion in revenue in 2014. The scheduling of games is crucial to maximize commercial value. The project uses a step-by-step optimization approach that considers attendance ratios to develop a schedule that achieves the greatest commercial value for the NFL.
2017 Business Intelligence & Analytics Corporate Event Stevens Institute of T...Alkis Vazacopoulos
The document summarizes student poster presentations from a Business Intelligence & Analytics program event at Stevens Institute of Technology. It provides background on the BI&A program, which has grown from 4 students to over 220 students. The posters presented research conducted by students on a wide range of topics under faculty guidance. Over 80 company representatives and 150 students/faculty attended the event to view the 76 posters presenting analytics projects and research.
The team participated in Google's Online Marketing Challenge to build an AdWords campaign for the nonprofit True Mentors. They designed campaigns around search and display ads to promote brand awareness, fundraising events, and donations. Their campaign included 23 ad groups and over 200 ads targeting 700 keywords. The campaign finished as a finalist in the Social Impact category and semi-finalist in the Business category, ranking in the top 10, 15, and 5 respectively. The live campaign ran for 3 weeks on the AdWords platform.
- Large optimization models are increasingly challenging to solve optimally due to super-linear growth in solving effort as model size increases. Parallel heuristic methods provide good quality solutions within practical time limits by solving smaller submodels simultaneously on multiple processor threads.
- Testing on scheduling, supply chain, and telecommunications models found parallel heuristics found high quality solutions for most models in hours, while optimal solutions were impossible within days for some larger models. However, using too many threads showed diminishing returns and even degradation in solution quality due to memory bus bandwidth limitations.
- A retailer buys seasonal stock in advance from overseas suppliers and tries to sell it all over a limited season, usually using discounts.
- An optimization model was created to analyze past sales data, model demand as a function of price, and determine optimal pricing and season length to maximize revenue.
- The model found that allowing for small price increases over the season and extending the season length could significantly increase total expected revenue compared to the retailer's current approach.
Optimization Direct: Introduction and recent case studiesAlkis Vazacopoulos
This document provides an overview of Optimization Direct, an IBM business partner that specializes in optimization software and consulting. It discusses Optimization Direct's experience implementing optimization technology for various industries. The document also summarizes Optimization Direct's product offerings, which focus on IBM ILOG CPLEX Optimization Studio. It then highlights several recent case studies where Optimization Direct helped customers solve scheduling, resource allocation, and pricing problems using analytics and optimization modeling approaches like MIP and heuristic algorithms. Finally, it shares an example of how Optimization Direct helped a retail client optimize markdown pricing and promotions to improve sales and margins.
Informs 2016 Solving Planning and Scheduling Problems with CPLEX Alkis Vazacopoulos
This document discusses optimization solutions for planning and scheduling problems using CPLEX. It begins with an introduction to DecisionBrain and examples of applications in manufacturing, supply chain, and maintenance scheduling. Case studies are presented on production planning in electronics manufacturing, container terminal optimization, and field service scheduling. Best practices are discussed around choosing the right optimization technology, emphasizing decision support over pure optimization, understanding business goals, and integrating process improvements with advanced decision support. Project risks around not achieving benefits, performance issues, and user acceptance are also addressed.
EX Optimization Studio* solves large-scale optimization problems and enables better business decisions and resulting financial benefits in areas such as supply chain management, operations, healthcare, retail, transportation, logistics and asset management. It has been applied in sectors as diverse as manufacturing, processing, distribution, retailing, transport, finance and investment. CPLEX Optimization Studio is an analytical decision support toolkit for rapid development and deployment of optimization models using mathematical and constraint programming. It combines an integrated development environment (IDE) with the powerful Optimization Programming Language (OPL) and high-performance ILOG CPLEX optimizer solvers. CPLEX Optimization Studio enables clients to: Optimize business decisions with high-performance optimization engines. Develop and deploy optimization models quickly by using flexible interfaces and prebuilt deployment scenarios. Create real-world applications that can significantly improve business outcomes. Optimization Direct has partnered with and entered into a technology licensing and distribution agreement with IBM. By combining the founders' industry and software experience and IBM’s CPLEX Optimization Studio product with the arsenal of Optimization modeling and solving tools from IBM provides customers the most powerful capabilities in the industry.
Missing-Value Handling in Dynamic Model Estimation using IMPL Alkis Vazacopoulos
Presented in this short document is a description of how IMPL handles missing-values or missing-data when estimating dynamic models which inherently involve time-lagged or time-shifted input and output variables. Missing-values in a data set imply that for some reason the data is not available most likely due to a mal-functioning instrument or even lack of proper accounting. Missing-data handling is relatively well-studied especially for time-series or dynamic data given that it is not as easy as removing, ignoring or deleting bad sections of data when static or steady-state models are calibrated (Honaker and King, 2010; Smits and Baggelaar, 2010; Fisher and Waclawski, 2015). Unfortunately, all of their methods involve what is known as “imputation” i.e., replacing or substituting missing-data with some reasonably assumed value which is at the very least is a biased estimate. When regression techniques such as PLS and PCR are used (Nelson et. al., 2006) then missing-data can be handled without imputation by computing the input-output covariance matrices excluding the contribution from the missing-values given the temporal and structural redundancy in the system. However, it is shown in Dayal (1996) that using PLS and other types of regression techniques such as Canonical Correlation Regression (CCR) and Reduced Rank Regression (RRR) to fit non-parsimonious and non-parametric finite impulse/step response models (FIR/FSR), that this is not as reliable as fitting lower-ordered transfer functions especially considering the robust stability of the resulting model predictive controller if that is its intended use.
Finite Impulse Response Estimation of Gas Furnace Data in IMPL Industrial Mod...Alkis Vazacopoulos
Presented in this short document is a description of how to estimate deterministic and stochastic non-parametric finite impulse response (FIR) models in IMPL applied to industrial gas furnace data identical to that found in TSE-GFD-IMF using parametric transfer-functions. The methodology of time-series analysis or system identification involves essentially three (3) stages (Box and Jenkins, 1976): (1) model structure identification, (2) model parameter estimation and (3) model checking and diagnostics. We do not address (1) which requires stationarity and seasonality assessment/adjustment, auto-, cross- and partial-correlation, etc. to establish the parametric transfer function polynomial degrees especially when we are using non-parametric FIR estimation. Instead we focus only on the parameter estimation and diagnostics. These types of parameter estimation problems involve dynamic and nonlinear relationships shown below and we solve these using IMPL’s Sequential Equality-Constrained QP Engine (SECQPE) and Supplemental Observability, Redundancy and Variability Estimator (SORVE). Other types of non-parametric identification known as Subspace Identification (Qin, 2006) and can used to estimate state-space models.
Our Industrial Modeling Service (IMS) involves several important (but rarely implemented) methods to significantly improve and advance your existing models and data. Since it is well-known that good decision-making requires good models and data, IMS is ideally suited to support this continuous-improvement endeavour. IMS is specifically designed to either co-exist with your existing design, planning, scheduling, etc. applications or these same models and data can be used seamlessly into our Industrial Modeling and Programming Language (IMPL) to create new value-added applications. The following techniques form the basis of our IMS offering.
Dither Signal Design Problem (DSDP) for Closed-Loop Estimation Industrial Mod...Alkis Vazacopoulos
This document describes a methodology for designing dither signals to improve closed-loop system identification of industrial models. It formulates the dither signal design as an optimization problem (DSDP) that determines signal amplitudes to maximize excitation within input/output constraints. The DSDP can be solved in the physical or transformed space, and accounts for process gain information to better excite ill-conditioned processes. The designed dither signals are intended to provide data for updating existing industrial models used for control, optimization, and monitoring.
This short note describes a relatively simple methodology, procedure or approach to increase the performance of already installed industrial models used for optimization, control, simulation and/or monitoring purposes. The method is called Excess or X-Model Regression (XMR) where the concept of “excess modeling” or an X-model is taken from the field of thermodynamics to describe the departure or residual behaviour of real (non-ideal) gases and liquids from their ideal state (Kyle, 1999; Poling et. al., 2001; Smith et. al., 2001). It has also been applied to model the non-ideal or nonlinear behaviour of blending motor gasoline octanes with its synergistic and antagonistic interactional effects (Muller, 1992).
The fundamental idea of XMR is to calibrate, train, fit or estimate, using actual data and multiple linear regression (MLR) or ordinary least squares (OLS), the deviations of the measured responses from the existing model responses. The existing model may be a glass, grey or black-box model (known or unknown, linear or nonlinear, implicit/open or explicit/closed) depending on the use of the model. That is, for optimization and control the model structure and parameters are available given that derivative information is required although for simulation and monitoring, the model may only be observed through the dependent output variables given the necessary independent input variables.
Distillation Curve Optimization Using Monotonic InterpolationAlkis Vazacopoulos
The document discusses optimization of distillation curves for blending multiple distillation streams. It presents a methodology to interconvert temperatures between ASTM D86 and true boiling point (TBP) scales, interpolate the points to generate evaporation curves using monotonic interpolation, and blend the components using an ideal blending law. The methodology allows manipulating cutpoints of one or more streams' distillation curves to shift the front and back-ends and optimize the final blended product properties and flows while satisfying demands and specifications. An example optimization problem is presented to maximize the flow of two distillation streams in a blend subject to property and flow constraints.
Presented in this short document is a description of how to model and solve multi-utility scheduling optimization (MUSO) problems in IMPL. Multi-utility systems (co/tri-generation) are typically found in petroleum refineries and petrochemical plants (multi-commodity systems) especially when fuel-gas (i.e., off-gases of methane and ethane) is a co- or by-product of the production from which multi-pressure heating-, motive- and process-steam are generated on-site. Other utilities include hydrogen, electricity, water, cooling media, air, nitrogen, chemicals, etc. where a multi-utility system is shown in Figure 1 with an intermediate or integrated utility (both produced and consumed) such as fuel-gas, steam or electricity. Itemized benefit areas just for better management of an integrated steam network can be found in Pelham (2013) where his sample multi-pressure steam utility flowsheet is found in Figure 2.
Advanced Parameter Estimation (APE) for Motor Gasoline Blending (MGB) Indust...Alkis Vazacopoulos
Presented in this short document is a description of how to model and solve advanced parameter estimation (APE) problems in IMPL. APE is the term given to the application of estimating, fitting or calibrating parameters in models involving a network, topology, superstructure or flowsheet. When estimating parameters with multiple linear regression (MLR), ordinary least squares (OLS), ridge regression (RR), principal component regression (PCR) and partial least squares (PLS) there is no explicit model but simply an X-block and Y-block of data. Hence, these methods are referred to as “non-parametric” or “data-based” methods as opposed to the “parametric” or “model-based” method used here. To solve these types of problems we use what is commonly referred to as “error-in-variables” (EIV) regression which is conveniently implemented as nonlinear data reconciliation and regression (NDRR) using the technology found in Kelly (1998a; 1998b; 1999) and Kelly and Zyngier (2008a). The primary benefit of using EIV (NDRR) over the other regression methods is that we can easily handle the inclusion of conservation laws and constitutive relations, explicitly, a must for any industrial estimation problem (IEP).
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
In the realm of cybersecurity, offensive security practices act as a critical shield. By simulating real-world attacks in a controlled environment, these techniques expose vulnerabilities before malicious actors can exploit them. This proactive approach allows manufacturers to identify and fix weaknesses, significantly enhancing system security.
This presentation delves into the development of a system designed to mimic Galileo's Open Service signal using software-defined radio (SDR) technology. We'll begin with a foundational overview of both Global Navigation Satellite Systems (GNSS) and the intricacies of digital signal processing.
The presentation culminates in a live demonstration. We'll showcase the manipulation of Galileo's Open Service pilot signal, simulating an attack on various software and hardware systems. This practical demonstration serves to highlight the potential consequences of unaddressed vulnerabilities, emphasizing the importance of offensive security practices in safeguarding critical infrastructure.
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
Skybuffer AI: Advanced Conversational and Generative AI Solution on SAP Busin...Tatiana Kojar
Skybuffer AI, built on the robust SAP Business Technology Platform (SAP BTP), is the latest and most advanced version of our AI development, reaffirming our commitment to delivering top-tier AI solutions. Skybuffer AI harnesses all the innovative capabilities of the SAP BTP in the AI domain, from Conversational AI to cutting-edge Generative AI and Retrieval-Augmented Generation (RAG). It also helps SAP customers safeguard their investments into SAP Conversational AI and ensure a seamless, one-click transition to SAP Business AI.
With Skybuffer AI, various AI models can be integrated into a single communication channel such as Microsoft Teams. This integration empowers business users with insights drawn from SAP backend systems, enterprise documents, and the expansive knowledge of Generative AI. And the best part of it is that it is all managed through our intuitive no-code Action Server interface, requiring no extensive coding knowledge and making the advanced AI accessible to more users.
Dandelion Hashtable: beyond billion requests per second on a commodity serverAntonios Katsarakis
This slide deck presents DLHT, a concurrent in-memory hashtable. Despite efforts to optimize hashtables, that go as far as sacrificing core functionality, state-of-the-art designs still incur multiple memory accesses per request and block request processing in three cases. First, most hashtables block while waiting for data to be retrieved from memory. Second, open-addressing designs, which represent the current state-of-the-art, either cannot free index slots on deletes or must block all requests to do so. Third, index resizes block every request until all objects are copied to the new index. Defying folklore wisdom, DLHT forgoes open-addressing and adopts a fully-featured and memory-aware closed-addressing design based on bounded cache-line-chaining. This design offers lock-free index operations and deletes that free slots instantly, (2) completes most requests with a single memory access, (3) utilizes software prefetching to hide memory latencies, and (4) employs a novel non-blocking and parallel resizing. In a commodity server and a memory-resident workload, DLHT surpasses 1.6B requests per second and provides 3.5x (12x) the throughput of the state-of-the-art closed-addressing (open-addressing) resizable hashtable on Gets (Deletes).
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
leewayhertz.com-AI in predictive maintenance Use cases technologies benefits ...alexjohnson7307
Predictive maintenance is a proactive approach that anticipates equipment failures before they happen. At the forefront of this innovative strategy is Artificial Intelligence (AI), which brings unprecedented precision and efficiency. AI in predictive maintenance is transforming industries by reducing downtime, minimizing costs, and enhancing productivity.
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdfChart Kalyan
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Digital Marketing Trends in 2024 | Guide for Staying AheadWask
https://www.wask.co/ebooks/digital-marketing-trends-in-2024
Feeling lost in the digital marketing whirlwind of 2024? Technology is changing, consumer habits are evolving, and staying ahead of the curve feels like a never-ending pursuit. This e-book is your compass. Dive into actionable insights to handle the complexities of modern marketing. From hyper-personalization to the power of user-generated content, learn how to build long-term relationships with your audience and unlock the secrets to success in the ever-shifting digital landscape.
1. NEXT GENERATION OF
MATHEMATICAL PROGRAMMING
MODELING AND SOLVING TOOLS
NEW YORK INFORMS METRO CHAPTER
Alkis Vazacopoulos
Industrial Algorithms
February 2013
2. Agenda
Optimization Problems (OP)
How do we solve OP?
Can we Graph and Solve?
Case Studies
3. Solving a Business Problem with Optimization****
min cTx
s.t. Ax b
x integer
Mathematical Model
OR Specialist
Business Problem
What are the key decisions?
Evaluation
What are the constraints?
Business What are the goals?
Expert
Supply Chain Optimisation Programme
RASA Benefit Realisation Weekly Summary
35
Solver
Contribution Relative to Apr08 QS61 Baseline (£k)
25
15
5
x1 = 3, x2 = 0, ...
Mar*
w 19
w 20
w 21
w 22
w 23
w 24
w 25
w 26
w 27
w 28
w 29
w 30
w 31
w 32
w 33
w 34
w 35
w 36
w 37
w 38
w 39
w 40
w 41
w 42
w 43
w 44
w 45
w 46
w 47
w 48
w 49
w 50
w 51
w 52
Feb*
2008 Jan*
Apr*
-5
-15
-25
Solution to
-35
Mathematical Model
Realised Benefit Missed Opportunity Actual ≠ QS61 or Optimal
Business Results
From: Jean-François Puget, IBM Distinguished Engineer,, recent presentation, IBM: Lessons Learned When Selling
Optimization To Business Users
4. Business users
They don’t care about the
technology
Business Problem
They care about their problem
Eg schedule next day plant
Evaluation
operations, next month roster for
Business
Expert bus drivers, etc
Supply Chain Optimisation Programme
RASA Benefit Realisation Weekly Summary
35 They want
Contribution Relative to Apr08 QS61 Baseline (£k)
25
15
Return on investment
Help to solve their problem
5
Mar*
w 19
w 20
w 21
w 22
w 23
w 24
w 25
w 26
w 27
w 28
w 29
w 30
w 31
w 32
w 33
w 34
w 35
w 36
w 37
w 38
w 39
w 40
w 41
w 42
w 43
w 44
w 45
w 46
w 47
w 48
w 49
w 50
w 51
w 52
Feb*
2008 Jan*
Apr*
-5
-15
-25
To be in charge
-35
Realised Benefit Missed Opportunity Actual ≠ QS61 or Optimal
Business Results
From: Jean-François Puget, IBM Distinguished Engineer,, recent presentation, IBM: Lessons Learned When Selling Optimization
To Business Users
5. Return on investment for optimization is great
From: Jean-François Puget, IBM Distinguished Engineer,, recent presentation, IBM: Lessons Learned When Selling
Optimization To Business Users
6. What are common solving optimization
technologies?
Linear Programming
Mixed Integer Programming
Nonlinear Programming
Constrained Programming
Meta-Heuristics
7. Access the solver: Use the Libraries
Load the matrix Using
C
Visual Basic
Python
other
8. Access the solver: Use a modeling language
Mathematical Programming language (basically
they do the same thing):
GAMS,
AMPL
AIMMS
MOSEL
MPL
OPL
LINDO
9.
10. Question #1
Can we automate the model formulation?
11. Our Goal: Automate the process of
matrix generation
Literature
EMOSL (Dash Optimization)
CONCERT (ILOG)
Semantic/Structured Modeling (Professor A. Geoffrion)
OPTEX – DecisionWare
UOPSS (Jeff Kelly)
12. Our Modeling Environment: IMPRESS
12
IMPRESS: Industrial Modeling & Presolving System is
our proprietary modeling platform.
You can model, solve, interface and interact with
any supply-chain, production-chain, demand-chain
and/or value-chain optimization problem.
IMPRESS so far has been applied in:
Production Planning
Plant Scheduling
Pipeline & Marine Shipping
Energy Management
Copyright, Industrial Algorithms LLC 2/11/2013
13. Why are we unique?
13
IMPRESS is flowsheet-based (i.e., a figurative
language).
This means that the modeling is inherently network or
superstructure “aware” with equipment-to-equipment,
resource-to-resource, activity-to-activity, etc. as explicit
language constructs or objects.
It also means that all of the effort of generating the sparse
A matrix in the LP, MILP and NLP is done automatically by
automatically creating all of the sets, parameters,
variables and constraints when the model is configured
using our proprietary and comprehensive library of sub-
models.
Copyright, Industrial Algorithms LLC 2/11/2013
14. Jet Fuel Supply Chain IMF - Example
One oil-refinery producing different grades of jet
fuel and one airport terminal storing Jet-A, Jet-A1
and Jet-B with a railroad in between.
Logistics details such as the input-output or yield
modeling of the refinery and the round-trip times of
the tank-cars (similar to batch-processes with cycle-
time) are modeled & solved as a MILP.
19. Question #2
What type of Units can I represent in the flowsheet?
20. Jet Fuel Example - UNITS
Crude Oil distillation Unit
Tank, Pool
Demand
Point
Outlet port – flow
Supply Vacuum
interface
Point Distillation Unit
21. Question #3
How can you add a Unit in IMPRESS?
What about a general purpose modeling
language?
22. Easy to add or insert Units
Add another tank in parallel
Add a jet fuel parcel (movable inventory)
23. What about adding in the modeling Language?
You need to add both
the node set and arc
set in the modeling
structures
Variables
Index sets
Data
Constraints
Objective
function
24. Comparison
MODELING IMPRESS
Languages
Can you model this problem? Probably YES
How Long it will take? Cost? 6 months days
1-2 consultants
What type of consultant? OR Specialist Engineer or OR
Specialist
What about Nonlinear A few modeling YES
Constraints ? Languages
Multi-Period You have to do Standard
this yourself
What happens if I want to Remodel and Add or Delete
delete or add a unit ? Reprogram
28. Question #5: Why this technology
now?
No recent innovation in Modeling Languages
Mixed Integer Programming Codes are Very Fast
(Gurobi, CPLEX, Xpress)
Engineering Disciplines use optimization, but they are
not OR Specialists (they have little modeling
expertise and MP expertise)
29. Question #5: Why this technology
now?
Most of the difficult Planning and Scheduling
problems have Special Structures (Electrical Eng.
and Chemical Eng. : Power flow network, Process
flowsheet, OR specialist have limited experience in
modeling them).
Engineers know about the modeling structure but
have limited MP algorithmic experience .
32. Planning and Planning +Model
Planuling = Scheduling Scheduling
Logistics (Quantity*Logic (proy’d-quality), MILP):
“discrete-time” where each time-period has the same duration.
Time-periods may be “small-buckets” (un-ary) or “big-buckets” (N-ary):
If un-ary then only one activity per time-period (scheduling) but if N-ary then
multiple activities per time-period where a “time-portion” variable for each
operation is applied (planning).
Quality (Quantity*quality (fixed-logic), NLP):
“distributed-time” where each time-period may have a different
duration (global/common time-grid).
Same as logistics.
All input data is entered in “continuous-time” (begin, end-times)
and digitized i.e., discretized or distributed accordingly.
33. Scheduling
without the blender scheduling details
planning
crude
Solution: duration of each blender grade with
time-period
Scheduling only for the blender:
Including setup, startup,
switchover, shutdown
34. Prod A Prod A
Prod B Prod B
Prod C Prod C
Prod D Prod D
Crude A
Prod E Prod E
Crude B
Prod F Prod F
Crude C Prod Prod
G G
Crude D Prod H Prod H
Crude Recipe Refining Units Products Recipes Products
Operational Modes Scheduling
Crude Scheduling Products Planning
resulting targets to
Including setup, startup, switchover, shutdown
blender Scheduling/RTO
1st Planuling (big-buckets) 2nd Scheduling
(small-buckets)
35. Engineer
IMPRESS
Contribution Relative to Apr08 QS61 Baseline (£k)
-35
-25
-15
-5
5
15
25
35
2008 Jan*
Feb*
Mar*
Apr*
w 19
w 20
Engineer
w 21
w 22
w 23
w 24
w 25
w 26
w 27
w 28
Realised Benefit
w 29
w 30
w 31
w 32
w 33
w 34
Missed Opportunity
w 35
w 36
w 37
w 38
w 39
w 40
RASA Benefit Realisation Weekly Summary
w 41
Supply Chain Optimisation Programme
w 42
w 43
Actual ≠ QS61 or Optimal
w 44
w 45
w 46
w 47
w 48
w 49
w 50
w 51
w 52
Engineer
Engineer
36. A planning and scheduling example:
Fast Moving Consumer Goods IMF
Two materials produced in bulk-unit produces
eighteen different packaged materials in pack-unit.
Sequence-dependent switchovers with
setup/setdown times & “repetitive” maintenance
cleanouts on bulk-unit with material families.
Due to the slow & fast nature of the bulk & pack-
units we perform “novel” hybrid planning &
scheduling i.e., bulk-unit is scheduled & pack-unit is
planned to reduce solve time (“planuling”).
37. Fast Moving Consumer Goods IMF
Pack-Line Multiple Pack
Lines
Bulk-Line
Setup Times
Forecasted & Firm
Future Demand Orders
Sequence-Dependent
Switchovers
Plan fast units (A
model)
And then with separate
model schedule them (B
Schedule slow units model)
(A model)
38. Fast Moving Consumer Goods IMF
38
Time Horizon: 60 time-periods w/ day periods.
Continuous Variables = 10,000
Binary Variables = 5,000
Constraints = 20,000
Time to First Good Solution = 10 to 30-seconds
Time to Provably Optimal = 1 to 10-hours due to
sequence-dependent switchovers.
Copyright, Industrial Algorithms LLC 2/11/2013
39. Cogeneration (Steam/Power) IMF
Two multi-fuel steam boilers with three modes for
different operating regions and standby.
One steam turbogenerator to produce electrical
power from high-pressure steam.
One electrical power header with import & export
of power to plant.
40. Cogeneration (Steam/Power) IMF
Fuel Header
Blowdown
Boiler1 w/ 3 Modes Boiler2 w/ 3 Modes
Multiple Modes
on Boilers HP Steam Header
Water Pump
Pressure Reducing
Valve
Steam
Turbogenerator MP Steam Header
Power Header
41. Cogeneration (Steam/Power) IMF
41
Time Horizon: 168 time-periods w/ hour periods.
Continuous Variables = 5,000
Binary Variables = 1,000
Constraints = 7,500
Time to First Good Solution = 5 to 30-seconds
Time to Provably Optimal = 5 to 15-minutes
Copyright, Industrial Algorithms LLC 2/11/2013
42. Power Generation IMF
Three thermal-plants and two hydro-plants with and
without water storage.
Three nodes or buses with voltage phase angle
inputs where each bus obeys Kirchhoff’s current and
voltage laws.
One time-varying demand load located on bus #3.
43. Power Generation IMF
Three Buses/Nodes Electrical
Engineering
1st & 2nd Kirchhoff Laws
Voltage Phase Angles
Thermal & Hydro Plants Varying Demand Load
46. What is next?
Risk Management in the Supply-Chain
Supply-Chain Strategic Problem
Marketing Optimization
Wealth Management Optimization
On-Line Optimization (RTO)