AGENDA:
Introductions and Company Overviews
JLG Master Scheduling Solution Overview
Problem Overview
What is CPLEX?
CPLEX & TM1 Integration
Solution and Implementation
Q&A
PMP Chap 12 - Project Procurement Management Details - Part 1Anand Bobade
PMP Chap 12 - Project Procurement Management Details - Part 1
Regardless of the project, when procurement results in hiring vendors who will complete all or some of the work on a project, Project managers need to understand their role in the procurement process. This presentation summarizes important procurement concepts, vendor selection process and contracting process.
CamundaCon 2018: Rule-Based Data Processing with DMN and Camunda (GVL)camunda services GmbH
Presented by David Hammer, Robert Breske
The GVL aggregates millions of usage reports for musical and cinematographic works from various sources every year. To cope with this amount of incoming data, a transparent and audit-proof data aggregation system was desired to be built. The solution was a DMN rule-based approach embedded in camunda's proccess engine framework, altogether with an audit-proof storage of the process history data. This system is capable of simulating the process flow for any processed data record at any later point in time, in case of a need for revision or validation. The GVL currently runs this scalable system with a troughput of more than one million daily process instances.
PMP Chap 12 - Project Procurement Management Details - Part 1Anand Bobade
PMP Chap 12 - Project Procurement Management Details - Part 1
Regardless of the project, when procurement results in hiring vendors who will complete all or some of the work on a project, Project managers need to understand their role in the procurement process. This presentation summarizes important procurement concepts, vendor selection process and contracting process.
CamundaCon 2018: Rule-Based Data Processing with DMN and Camunda (GVL)camunda services GmbH
Presented by David Hammer, Robert Breske
The GVL aggregates millions of usage reports for musical and cinematographic works from various sources every year. To cope with this amount of incoming data, a transparent and audit-proof data aggregation system was desired to be built. The solution was a DMN rule-based approach embedded in camunda's proccess engine framework, altogether with an audit-proof storage of the process history data. This system is capable of simulating the process flow for any processed data record at any later point in time, in case of a need for revision or validation. The GVL currently runs this scalable system with a troughput of more than one million daily process instances.
Using Earned Value Management Concepts to Improve Commercial Project PerformanceLewisFowlerLLC
Lewis Fowler Principal Consultant Scott Brunton presented this deck at the 2015 Houston PMI Conference & Expo. Scott explores the historical roots of EVM and offers practical advice for implementing EVM practices to maximize the business value of projects.
Björn Klinger, T-Mobile Austria & Thorsten Guggenberger, CEO J-IT
Wir geben einen kurzen Überblick über die Evaluierung der BPM Engines und allgemeine Informationen weshalb die Entscheidung letztendlich auf Camunda gefallen ist. Die ersten Schritte bis zum Einsatz in der Produktion & darüber hinaus die fortwährende schrittweise Ablösung der Legacy Systeme im Einklang mit dem Daily Business.
Architecture Engineering and Construction professionals are garnering or reaping the fruit of optimizing Building Information Modeling for minimizing wastage, errors and budget overruns. website:www.teslacad.com
To Upgrade or to Re-implement Dynamics NAV? That is the Question | BDO Connec...BDO IT Solutions
With the new functionality added between your current version of Microsoft Dynamics NAV and NAV 2016, it may be feasible to replace some of your modifications with current functionality. We’ll discuss the pros and cons between these two implementation methodologies.
How BIM Can Improve Decisions and Reduce Errors - Webinar, December 2, 2015Aconex
In this webinar, we heard Sean VonFeldt of Triunity and Matt Abeles of BuiltWorlds discuss how their organizations use BIM project-wide to accelerate and improve decisions from concept through handover. We also saw a live demo of Aconex Connected BIM showing how sharing models can streamline processes like design coordination, approval cycles, and handover to benefit your entire project team.
JLG Case Study - Prescriptive Analytics & CPLEX Decision Optimization and TM1...QueBIT Consulting
The Challenge:
At JLG, a monthly Sales, Inventory, and Operations Plan (SIOP) is produced. The Master Schedule determines when and
where a machine will be manufactured based on the SIOP Plan. Adjustments to the Master Schedule are made by day,
product, production facility, assembly line, and forecast groups and takes approximately 10 days to complete.
The Solution:
Through research, it was determined that CPLEX and TM1 would be very compatible and the necessary toolset to deliver the Master Schedule solution at JLG.
JLG Case Study: Prescriptive Analytics & CPLEX Decision Optimization and TM1 ...QueBIT Consulting
The Challenge:
At JLG, a monthly Sales, Inventory, and
Operations Plan (SIOP) is produced. The
Master Schedule determines when and
where a machine will be manufactured
based on the SIOP Plan. Adjustments to
the Master Schedule are made by day,
product, production facility, assembly line,
and forecast groups and takes
approximately 10 days to complete.
The Solution:
Through research, it was determined that
CPLEX and TM1 would be very compatible and
the necessary toolset to deliver the Master
Schedule solution at JLG.
The Benefi ts:
This resulted in an estimated $700K annual
savings, enabling us to shift
our focus to more strategic work instead
of admin work.
Using Earned Value Management Concepts to Improve Commercial Project PerformanceLewisFowlerLLC
Lewis Fowler Principal Consultant Scott Brunton presented this deck at the 2015 Houston PMI Conference & Expo. Scott explores the historical roots of EVM and offers practical advice for implementing EVM practices to maximize the business value of projects.
Björn Klinger, T-Mobile Austria & Thorsten Guggenberger, CEO J-IT
Wir geben einen kurzen Überblick über die Evaluierung der BPM Engines und allgemeine Informationen weshalb die Entscheidung letztendlich auf Camunda gefallen ist. Die ersten Schritte bis zum Einsatz in der Produktion & darüber hinaus die fortwährende schrittweise Ablösung der Legacy Systeme im Einklang mit dem Daily Business.
Architecture Engineering and Construction professionals are garnering or reaping the fruit of optimizing Building Information Modeling for minimizing wastage, errors and budget overruns. website:www.teslacad.com
To Upgrade or to Re-implement Dynamics NAV? That is the Question | BDO Connec...BDO IT Solutions
With the new functionality added between your current version of Microsoft Dynamics NAV and NAV 2016, it may be feasible to replace some of your modifications with current functionality. We’ll discuss the pros and cons between these two implementation methodologies.
How BIM Can Improve Decisions and Reduce Errors - Webinar, December 2, 2015Aconex
In this webinar, we heard Sean VonFeldt of Triunity and Matt Abeles of BuiltWorlds discuss how their organizations use BIM project-wide to accelerate and improve decisions from concept through handover. We also saw a live demo of Aconex Connected BIM showing how sharing models can streamline processes like design coordination, approval cycles, and handover to benefit your entire project team.
How BIM Can Improve Decisions and Reduce Errors - Webinar, December 2, 2015
Similar to IBM Vision 2017 Conference Session #1095 - Prescriptive Analytics & CPLEX Decision Optimization and TM1 Dashboard: Combined Planning Power at JLG Industries - QueBIT Consulting
JLG Case Study - Prescriptive Analytics & CPLEX Decision Optimization and TM1...QueBIT Consulting
The Challenge:
At JLG, a monthly Sales, Inventory, and Operations Plan (SIOP) is produced. The Master Schedule determines when and
where a machine will be manufactured based on the SIOP Plan. Adjustments to the Master Schedule are made by day,
product, production facility, assembly line, and forecast groups and takes approximately 10 days to complete.
The Solution:
Through research, it was determined that CPLEX and TM1 would be very compatible and the necessary toolset to deliver the Master Schedule solution at JLG.
JLG Case Study: Prescriptive Analytics & CPLEX Decision Optimization and TM1 ...QueBIT Consulting
The Challenge:
At JLG, a monthly Sales, Inventory, and
Operations Plan (SIOP) is produced. The
Master Schedule determines when and
where a machine will be manufactured
based on the SIOP Plan. Adjustments to
the Master Schedule are made by day,
product, production facility, assembly line,
and forecast groups and takes
approximately 10 days to complete.
The Solution:
Through research, it was determined that
CPLEX and TM1 would be very compatible and
the necessary toolset to deliver the Master
Schedule solution at JLG.
The Benefi ts:
This resulted in an estimated $700K annual
savings, enabling us to shift
our focus to more strategic work instead
of admin work.
Addressing Uncertainty How to Model and Solve Energy Optimization Problemsoptimizatiodirectdirect
During the past twenty years, IBM's CPLEX Optimization Studio has been used extensively to solve hard Energy Optimization Problems. CPLEX Optimization Studio's modeling capabilities, fast solvers and easy deployment features empower users to deploy energy applications quickly and reliably. Now, with a newly update superset offering know as Decision Optimization Center, the capabilities for this class of problems is greatly enhanced. Using the Unit Commitment Problem as a paradigm, we will demonstrate the advantages of using Decision Optimization Center, and CPLEX for modeling complex problems and application developments in the Energy Field.
Most importantly we will introduce new research developed for solving problems that address Uncertainty. We will showcase a new research approach that allows the user to test and deploy Stochastic, Robust or Deterministic models all on the same platform. This new approach allows you to truly understand your options as you explore the best plan for your business and develop a robust and repeatable process.
On November 27th, 2018 the fourth Camunda Meetup in Berlin took place. These are the slides of Andrey Shchagin's talk: "SynerTrade - All or nothing? The way we're mitigating an impact from customer-specific implementations on the legacy system using Camunda"
Link to the Meetup group: https://www.meetup.com/Camunda-User-Group-Berlin/
Fujitsu Glovia, Inc. and SAP Hybrid Solution to ERP ManufacturingFujitsu Glovia, Inc.
For manufacturers using SAP ERP, the news of a production line change, expanded manufacturing capabilities, new facilities or implementation of Lean Manufacturing can bring an equal combination of excitement and dread as the realization hits that the company’s big new plans must include an expensive and time-consuming retrofit of existing SAP manufacturing ERP applications.
FUJITSU GLOVIA, Inc. has developed a hybrid ERP strategy that enables manufacturers to continue benefiting from the operational strengths of SAP ERP modules for financial, human resource and CRM while incorporating the fully SAP-compatible, GLOVIA G2 ERP system for manufacturing operations.
View the presentation on this page for case studies of FUJITSU GLOVIA’s SAP-compatible GLOVIA G2 ERP solution or contact FUJITSU GLOVIA for a software demo or more information at (800) 223-3799 or marketing@glovia.com.
To achieve operational excellence, a business needs strong collaboration and streamline procedures to follow. It also needs proper management of finances and supply chain altogether. And, the key to achieve this is, BatchMaster manufacturing integrated with Microsoft Dynamics GP. Want to know how? Check out the presentation below
Maximizing the Value of IBM's New Mainframe Pricing Model with Syncsort Elevate Precisely
IBM’s new Tailored Fit Pricing is a generational shift in IBM Z software pricing, offering an alternative to the Rolling 4-Hour Average model introduced in 1999. Designed to eliminate the challenges of forecasting demand for hybrid cloud environments and dynamic workloads, this new pricing model can make your mainframe licensing costs more predictable and manageable.
Our Elevate MFSort and Elevate ZPSaver products, combined with the new Tailored Fit Pricing offer the opportunity to achieve even more efficiency and cost savings through high-performance sort and the ability to offload expensive processing to zIIP engines.
Learn about:
The two new Tailored Fit Pricing options from IBM
How Elevate MFSort and Elevate ZPSaver cut down workloads
How Syncsort can help you project the savings you may achieve
Architecting to Create or Mitigate a DisruptionSriram Sabesan
To be sustainable and to leverage new discoveries, inventions or solution, enterprises either inject a disruption into their market or respond as rapidly as they can. This is a reflection of our model to help the CxOs and Enterprise Architects to create or mitigate impact from disruptive movements
Managers currently regard large, multi-site, multi-year Supply Chain Management
(SCM) implementations as too risky. Indeed, such projects require
extremely skilled project management. BP Chemicals implemented Aspentech’s
MIMI supply chain management solution across 17 businesses. It
was a huge, highly successful project, largely because of excellent project
management.
Customer Success Story: Interact Everywhere with IBM Active ReportsCCG
Hillsborough County Public Schools needed to create an interactive Strategic Plan Scorecard that summarized metrics at a high level, but also provided some detailed information to the users similar to a drill-through report. To meet this need, an Active Report was created that impressed business users as well as solved the delivery and security concerns from an I.S. perspective. Although Active Reports are not exactly new to IBM Cognos, there have been significant improvements in regards to performance and file compression. This session explains how the Active Report was created at an introductory level, including a demonstration of the product.
Next Generation BIM
Sriram Sridharan, COO, Ineight
Today’s BIM solutions offer users an ability to view a three dimensional simulation of the stages of work and/or progress proposed to take place over the course of the project. These simulations are primarily leveraged during the pre-construction phase of a project. The simulation combines schedule data to design plans resulting in what is referred to as a 4D BIM solution. When a software expert designs the model to additionally reflect project costs within the proposed project, this is referred to as 5D BIM.
Like any good finance professional, you understand that budgeting is the lifeblood of any company and there are times when by the time the budget is complete, it’s already stale.
Changing the process can feel like a daunting task, it seems easier to keep doing what you’re doing. The good news is: there’s an easier way to budget.
Similar to IBM Vision 2017 Conference Session #1095 - Prescriptive Analytics & CPLEX Decision Optimization and TM1 Dashboard: Combined Planning Power at JLG Industries - QueBIT Consulting (20)
QueBIT Agile Crisis Planning - A Better Way to Plan for Uncertain TimesQueBIT Consulting
The QueBIT solution, which was built on IBM Planning Analytics, enabled the client to achieve two things that were not possible before the implementation. First, the solution identified correlations between historical sales and external factors such as inflation, Consumer Price Index (CPI), Gross Domestic Product (GDP), and commodity prices. This process which was built on IBM Planning Analytics and enhanced using QueBIT’s Euclid Studio tool, validated some prior assumptions by the business, while invalidating others. Second, the solution made it possible for the client to create numerous scenarios around reopening and consumer behaviors, including calculations of the resulting impact to business performance (volume and mix by channel). The future is still dynamic, and the QueBIT solution allows the business to identify its best assumptions and the resulting financial plan based on those assumptions.
Webinar December 2018 - Planning Analytics Workspace (PAW) Tips & Tricks. Today’s webinar is part of an advanced webinar series offered by QueBIT. Our next webinar is scheduled for Thursday, January 10th at 2pm Eastern. Learn about the advancements in the Cognos Analytics 11.1 release. These changes will bring the power of artificial intelligence, machine learning, and advanced analytics to all Cognos Analytics users to empower, enlighten, and facilitate a new breed of boundless data explorers! Register today by accessing the Events page on our website at quebit.com/news-events.
Telling “Your Story” Using Cognos Analytics WebinarQueBIT Consulting
Agenda:
-Introduction to QueBIT
-Overview of data “stories”
-Defining key elements in an effective “story”
-Demonstration of data delivery using these elements
-A technical dive into the Cognos Analytics features used in the demonstration
The Importance of Performance Testing Theory and Practice - QueBIT Consulting...QueBIT Consulting
Why is good testing so hard to do? Not Enough Time. Not Enough Testers. Inconsistent or Incomplete Test Scripts. Lack of Performance Metrics. Difficult to Summarize Results
Practical Implementation Tips For Implementing a Financial Planning - QueBIT ...QueBIT Consulting
We’re driven to help organizations improve their agility to make intelligent decisions that create value.
This is why we’re committed to excellence in analytics strategy, implementation, and training.
We’re driven to help organizations improve their agility to make intelligent decisions that create value. Astute decision makers learn from the past to manage the present, predict the future— and take prescriptive actions. Therefore, we’re resolute in our commitment to excellence in analytics strategy and implementation.
"Price optimization avoids loss; loss of a customer because you priced too high, or loss of margin because you priced too low. You are likely losing customers and margin every day without price optimization" -Gary Quirke, CEO
QueBIT Planning is a cloud-based financial planning and analytics solution that will enable customers to use all the benefits of TM1 without the cost or overhead of owning an on-premise custom application.
Webinar Agenda:
-Brief QueBIT Introductions
-What is Price Optimization?
-QueBIT’s Approach to Price Optimization
-Achilles Demonstration
-Key Benefits
While predictive analytics is based on sophisticated mathematics, Achilles gives deep insights into how these models work. These models consume all available data (not just price) to ensure that pricing recommendations are realistic and take into account the dynamic market place.
QueBIT Planning is a cloud-based financial planning and analytics solution that will enable customers to use all the benefits of TM1 without the cost or overhead of owning an on-premise custom application.
Introduction to TM1 TurboIntegrator Debugger Webinar - Quebit ConsultingQueBIT Consulting
Today’s webinar is part of a monthly advanced webinar series offered by QueBIT. Register for future webinars by accessing the events page on our website at quebit.com/news-events
AGENDA:
What is the TurboIntegrator Debugger?
Main Features/Main Window Walkthrough
How will the TI debugger help me?
Limitations
Installation and Configuration
QueBIT aims to make it easy to help you find the right information. Our mission is to empower you with the training you need, so that you can apply analytic techniques with confidence. We want you to succeed and see the power in the data that is at your fingertips, so that you can make better informed decisions. QueBIT is a full-service operation, offering flexible training sessions to meet your busy schedules. Our training is presented by certified, expert, technical trainers.
Cognos Analytics/Business Intelligence Training Catalog - Self Paced, Instruc...QueBIT Consulting
QueBIT aims to make it easy to help you find the right information. Our mission is to empower you with the training you need, so that you can apply analytic techniques with confidence. We want you to succeed and see the power in the data that is at your fingertips, so that you can make better informed decisions. QueBIT is a full-service operation, offering flexible training sessions to meet your busy schedules.
Auditable Financial System for Government Contracting at Accenture Federal Se...QueBIT Consulting
AGENDA:
Introductions and Company Overview
Government Contracting Industry Overview
AFS TM1 Model Overview
Business and Architectural Challenges
Solution Approach
Outcome and Results Achieved
Enhancements since Re-Architecture
Future Plans/Developments
Closing Statement
Q&A Session
Leveraging IBM Cognos TM1 for Merchandise Planning at Tractor Supply Company ...QueBIT Consulting
AGENDA:
Introductions and Company Overviews
TSC Merchandise Planning Solution Overview
Prior State
Solution and Implementation
Tips & Tricks for TM1 Perspectives Templates
Q&A
AGENDA:
Introductions and Company Overviews
Stein Mart’s Business Objectives
Leveraging the IBM Cloud and QueBIT FrameWORQ to maximize time to value
Stein Mart’s Reporting Solution
Results Achieved
iQue on IBM BlueMix Can Increase Your TM1 Forecast Accuracy - IBM Vision Conf...QueBIT Consulting
What You Will Learn:
-Learn about IBM BlueMix, web services and why we created the iQue Connector.
-Learn how your forecasts can benefit from data science & predictive demand planning.
-Learn about QueBIT’s Euclid engine and predictive solutions
-Some demonstrations to show you what’s possible.
-QueBIT’s vision for the future:
Integrating web services and other solutions with TM1
Leveraging advanced analytics in TM1
Ongoing Performance Diagnostics are a critical part of maintaining your enterprise-wide applications. If you have not done a diagnostic assessment of your system in a while, a TM1 Healthcheck engagement with QueBIT will identify areas in which your TM1 performance and experience can be improved.
In the Adani-Hindenburg case, what is SEBI investigating.pptxAdani case
Adani SEBI investigation revealed that the latter had sought information from five foreign jurisdictions concerning the holdings of the firm’s foreign portfolio investors (FPIs) in relation to the alleged violations of the MPS Regulations. Nevertheless, the economic interest of the twelve FPIs based in tax haven jurisdictions still needs to be determined. The Adani Group firms classed these FPIs as public shareholders. According to Hindenburg, FPIs were used to get around regulatory standards.
LA HUG - Video Testimonials with Chynna Morgan - June 2024Lital Barkan
Have you ever heard that user-generated content or video testimonials can take your brand to the next level? We will explore how you can effectively use video testimonials to leverage and boost your sales, content strategy, and increase your CRM data.🤯
We will dig deeper into:
1. How to capture video testimonials that convert from your audience 🎥
2. How to leverage your testimonials to boost your sales 💲
3. How you can capture more CRM data to understand your audience better through video testimonials. 📊
At Techbox Square, in Singapore, we're not just creative web designers and developers, we're the driving force behind your brand identity. Contact us today.
FIA officials brutally tortured innocent and snatched 200 Bitcoins of worth 4...jamalseoexpert1978
Farman Ayaz Khattak and Ehtesham Matloob are government officials in CTW Counter terrorism wing Islamabad, in Federal Investigation Agency FIA Headquarters. CTW and FIA kidnapped crypto currency owner from Islamabad and snatched 200 Bitcoins those worth of 4 billion rupees in Pakistan currency. There is not Cryptocurrency Regulations in Pakistan & CTW is official dacoit and stealing digital assets from the innocent crypto holders and making fake cases of terrorism to keep them silent.
Company Valuation webinar series - Tuesday, 4 June 2024FelixPerez547899
This session provided an update as to the latest valuation data in the UK and then delved into a discussion on the upcoming election and the impacts on valuation. We finished, as always with a Q&A
Digital Transformation and IT Strategy Toolkit and TemplatesAurelien Domont, MBA
This Digital Transformation and IT Strategy Toolkit was created by ex-McKinsey, Deloitte and BCG Management Consultants, after more than 5,000 hours of work. It is considered the world's best & most comprehensive Digital Transformation and IT Strategy Toolkit. It includes all the Frameworks, Best Practices & Templates required to successfully undertake the Digital Transformation of your organization and define a robust IT Strategy.
Editable Toolkit to help you reuse our content: 700 Powerpoint slides | 35 Excel sheets | 84 minutes of Video training
This PowerPoint presentation is only a small preview of our Toolkits. For more details, visit www.domontconsulting.com
Event Report - SAP Sapphire 2024 Orlando - lots of innovation and old challengesHolger Mueller
Holger Mueller of Constellation Research shares his key takeaways from SAP's Sapphire confernece, held in Orlando, June 3rd till 5th 2024, in the Orange Convention Center.
Understanding User Needs and Satisfying ThemAggregage
https://www.productmanagementtoday.com/frs/26903918/understanding-user-needs-and-satisfying-them
We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.
In this webinar, we won't focus on the research methods for discovering user-needs. We will focus on synthesis of the needs we discover, communication and alignment tools, and how we operationalize addressing those needs.
Industry expert Scott Sehlhorst will:
• Introduce a taxonomy for user goals with real world examples
• Present the Onion Diagram, a tool for contextualizing task-level goals
• Illustrate how customer journey maps capture activity-level and task-level goals
• Demonstrate the best approach to selection and prioritization of user-goals to address
• Highlight the crucial benchmarks, observable changes, in ensuring fulfillment of customer needs
Discover the innovative and creative projects that highlight my journey throu...dylandmeas
Discover the innovative and creative projects that highlight my journey through Full Sail University. Below, you’ll find a collection of my work showcasing my skills and expertise in digital marketing, event planning, and media production.
Discover the innovative and creative projects that highlight my journey throu...
IBM Vision 2017 Conference Session #1095 - Prescriptive Analytics & CPLEX Decision Optimization and TM1 Dashboard: Combined Planning Power at JLG Industries - QueBIT Consulting
1. Prescriptive Analytics & CPLEX Decision
Optimization and TM1 Dashboard:
Combined Planning Power at JLG
Industries
Megan L. Lillicrap – BI Analytics Manager
JLG Industries
Allie Barnes – BI Analyst
JLG Industries
Bruna Garcia – Consultant
QueBIT Consulting
2. Introductions and Company Overviews
JLG Master Scheduling Solution Overview
Problem Overview
What is CPLEX?
CPLEX & TM1 Integration
Solution and Implementation
Q&A
Agenda
2 5/19/2017
4. About QueBIT
Trusted Experts in Analytics
15+ years in business with managers on the team who
have been working in area of Analytics for 20+ years
Full Offerings - Advisory & Implementation Services,
Reseller of IBM Software and Developer of Solutions
900+ successful Analytics Projects
450+ analytics customers in all types of industries
100+ employees with HQ in New York
Building an experienced team from the ground up
Deep Expertise in Financial Analytics, Advanced
Analytics, Business Intelligence, and DHW
Strong focus in Financial Services sector
Multi-Year Award Winner
5. QueBIT: Trusted Experts in Analytics
We’re driven to help organizations
improve their agility to make
intelligent decisions that create
value.
This is why we’re committed to
excellence in analytics strategy and
implementation.
6. JLG Industries Company Overview
Megan Lillicrap – BI Analytics Manager
Allie Barnes – BI Analyst
6 5/19/2017
9. JLG Master Schedule Case Study
Megan Lillicrap – BI Analytics Manager
9 5/19/2017
10. • Partnered for initial Sales, Inventory
and Operation Planning (SIOP) model -
implemented in late 2016
• Continued relationship on the SIOP to
Master Schedule project in 2017
• Core focus on:
• Improving forecast accuracy
• Streamlining and automating
processes/manual work
• Future scalability
• Knowledge transfer
10 5/19/2017
JLG Industries and QueBIT Partnership
11. • SIOP
• Sales, Inventory and Operation Planning
• Top level planning technique to Balance:
• Demand = Sales Forecast
• Supply = Capacity Planning
• Across all regions, products up to 24 months
• Master Production Schedule
• Manufacturing plan by:
• Model
• Production Facility
• Assembly Line
• Forecast Group (region)
• Day
• Process of aligning the master schedule to meet the demand of the SIOP
forecast
JLG Industries – Case Study Overview
11 5/19/2017
12. Planning takes place across:
• 37 Active Assembly Lines
• 225 Active Products
• Committed Sales Orders
• Exclusions
• 9 Forecast Groups
• Priority Ordering
• Default Forecast Group
• Periods
• Up to 24 months
* Each month it takes 10 days to complete process – considered ‘admin’ work.*
JLG Industries – Case Study Overview
12 5/19/2017
Variable # of Data
Points
Assembly Lines 37
Active Models x 225
Forecast Groups x 9
Periods (months) x 24
TOTAL INTERSECTIONS 1.8M
13. Objectives/Constraints for CPLEX Optimization Logic:
1. Cannot modify production slot that has a committed sales orders
2. Ignore/exclude products, production lines and months based on user input
3. Must meet production plan targets defined in the SIOP process
4. Priority weighting based on forecast groups (sales regions)
5. Level Loading by forecast group within a production line
JLG Industries – Case Study Overview
13 5/19/2017
15. • Definition:
• The action of making the best or most effective use of a situation or resource
• Parts of an Optimization Problem
• Decision Variables
• Objective Function
• Bounds
• Constraints
• Examples of Optimization in Industry
• Scheduling
• Logistics
• Pricing
Optimization
15 5/19/2017
16. • Optimization Software Owned by IBM
• Capabilities
• ETL
• Data cleansing
• Optimization
• Integer programming
• Linear programming
• Quadratic programming
• Programming Language
• Optimization Programming Language (OPL)
• Proprietary language suited for optimization
• Functions specific to types of optimization problems
What is CPLEX?
16 5/19/2017
17. • Why TM1 + CPLEX?
• TM1:
• Is a perfect home for optimization constraints
• Provides a user interface for CPLEX
• Can load results of CPLEX solution back into the models
• Can be used to version data
CPLEX – TM1 Integration
17 5/19/2017
18. • Why TM1 + CPLEX?
• CPLEX
• Offers engine for optimization that TM1 can leverage
• Reads from csv files, which are easily output by TM1
• Data structures needed for solutions are similarly formatted to the way TM1 already holds
data
CPLEX – TM1 Integration
18 5/19/2017
19. • Why TM1 + CPLEX?
• Together
• Input constraints into TM1
• Press button to run solution
• See updated results in TM1
CPLEX – TM1 Integration
19 5/19/2017
20. • Issues:
• IBM Connector
• Cannot connect if TM1 and CPLEX on different servers
• Both memory intensive
• Licensed based on PVU
• IBM is working on adding cross-server functionality in the future
• Robust solution if working properly
• Integration of CPLEX on the cloud
• TM1 Command Function
• CPLEX is unable read from excel files if called from TM1 directly or through a batch file
called by TM1
CPLEX – TM1 Integration
20 5/19/2017
21. TM1 & CPLEX Integration
21 5/19/2017
Data Extracts
• TM1 –
generates
data
extracts to
push to
CPLEX
Batch File
• TM1 –
Calls
CPLEX
through a
batch file;
executed
through
Task
Scheduler
CPLEX
Optimizes
• Based on
data &
constraints
fed to the
model from
TM1
Flag Files
• Optimized
results are
produced,
flag file is
created
Load
Processes
• TM1
detects flag
file –
initiates
load
processes
to create
separate
versions
23. Objectives/Constraints Master Schedule Logic:
1. Cannot modify production slot that has a committed sales orders (2nd)
2. Ignore/exclude products, production lines and months based on user input
3. Must meet production plan targets defined in the SIOP process (1st)
4. Priority weighting based on forecast groups (sales regions) (1st, 2nd)
5. Level Loading by forecast group within a production line
JLG Industries – Master Schedule Case Study Overview
23 5/19/2017
24. • CPLEX constraints are directly fed from TM1
• Collecting user input in TM1 to control the process
24 5/19/2017
Setting the Stage in CPLEX with TM1
25. • Set the starting date for optimization by manufacturing line
25 5/19/2017
Forecast Allocation Start Month Input Template
26. • Set number of workdays by manufacturing lines
• CPLEX uses number of workdays to determine the number of manufacturing
slots available for allocation
26 5/19/2017
Number of Workdays Input Template
Example: Line shut
down for maintenance
purposes. Working days
reduced. CPLEX will
reduce amount of slots
to reallocate.
27. • Set order by which sales regions (forecast groups) will absorb any schedule
discrepancies by manufacturing line.
Forecast Group Assumptions Input Templates
27 5/19/2017
• Users can control the sales regions
priority to influence who receives
shortages or excess of products.
29. 29 5/19/2017
CPLEX Optimization – Scenario 1
Must meet
production plan
targets defined in
the SIOP
process
Priority weighting
based on
forecast groups
31. 31 5/19/2017
CPLEX Optimization – Scenario 2
Cannot modify
production slots
that have
committed sales
orders
Priority weighting
based on
forecast groups
Must meet
production plan
targets defined in
the SIOP
process
33. • General TM1 Governance
• Followed up with a project to target TM1 Governance
• CPLEX – TM1 Connector
• Not useful in a practical environment
• Batch Files
• Multiple issues caused by background processes between the two products
• Can be worked around
Lessons Learned – Improvement Opportunities
33 5/19/2017
34. • Testing
• Proof of Concept for CPLEX
• Unit, Functional and User Acceptance Testing
• Multiple Weekly Touchpoints
• Technical meetings (IT team)
• Business review meetings (Core team)
• Knowledge Transfer
• Built in time for shadowing development w/ QueBIT
• Peer reviews
• CPLEX – TM1 Partnership
Lessons Learned – What Went Right
34 5/19/2017
35. • Successful implementation at JLG
• Reduced manual effort: 10 days to 1 day / month
• Estimated $70K saved annually
• Allows time for more strategic work versus admin work
• Future Measures of Savings
• More timely and accurate supplier forecast
• Estimated $250K savings annually
• Less expediting and shortages associated with inaccurate forecasts
• More timely and accurate financial analysis for projected spend and budgets
• Estimated $20K savings annually
Solution Results
35 5/19/2017
36. “12 minutes from the time I opened TM1 for production line 22 (Electric
Booms) until I got the e-mail confirmation that updates were made to the
master schedule.
This process just allocated 1,004 production slots to the appropriate forecast
group from June 2017 through September 2018 in 12 minutes, which included
time to review data to make sure there were no issues.
Thank you to everyone for their help. This is what I call a win!”
- Bruce DeMaster, Value Stream Manager
User Response
36 5/19/2017
39. 39 5/19/2017
Notices and disclaimers
continued
Information concerning non-IBM products was obtained from the
suppliers of those products, their published announcements or other
publicly available sources. IBM has not tested those products in
connection with this publication and cannot confirm the accuracy of
performance, compatibility or any other claims related to non-IBM
products. Questions on the capabilities of non-IBM products should be
addressed to the suppliers of those products. IBM does not warrant the
quality of any third-party products, or the ability of any such third-party
products to interoperate with IBM’s products. IBM expressly
disclaims all warranties, expressed or implied, including but not
limited to, the implied warranties of merchantability and fitness
for a particular, purpose.
The provision of the information contained herein is not intended to,
and does not, grant any right or license under any IBM patents,
copyrights, trademarks or other intellectual property right.
IBM, the IBM logo, ibm.com, Aspera®, Bluemix, Blueworks Live, CICS,
Clearcase, Cognos®, DOORS®, Emptoris®, Enterprise Document
Management System™, FASP®, FileNet®, Global Business Services®,
Global Technology Services®, IBM ExperienceOne™, IBM
SmartCloud®, IBM Social Business®, Information on Demand, ILOG,
Maximo®, MQIntegrator®, MQSeries®, Netcool®, OMEGAMON,
OpenPower, PureAnalytics™, PureApplication®, pureCluster™,
PureCoverage®, PureData®, PureExperience®, PureFlex®,
pureQuery®, pureScale®, PureSystems®, QRadar®, Rational®,
Rhapsody®, Smarter Commerce®, SoDA, SPSS, Sterling Commerce®,
StoredIQ, Tealeaf®, Tivoli® Trusteer®, Unica®, urban{code}®, Watson,
WebSphere®, Worklight®, X-Force® and System z® Z/OS, are
trademarks of International Business Machines Corporation, registered
in many jurisdictions worldwide. Other product and service names
might be trademarks of IBM or other companies. A current list of IBM
trademarks is available on the Web at "Copyright and trademark
information" at: www.ibm.com/legal/copytrade.shtml.