Demo of integrated synergetic preservation workflow (WP8 ForgetIT 1st year r...ForgetIT Project
This document summarizes a presentation on an integrated preservation workflow for the ForgetIT project. It describes the key components of the Preservation Object Framework (PoF) middleware and cloud storage architecture. It then outlines the end-to-end workflow to preserve resources from an active system, including retrieving resources, processing content and metadata, preparing submission information packages, ingesting into an archive information system, and storing in a preservation data store. It also describes the resource restore workflow.
This document discusses the development of Taiwan Geospatial One Stop (TGOS), a national geospatial information system in Taiwan. TGOS provides a central portal for accessing nine spatial database categories covering natural environment, resources, transportation, land use, and more. The future plan is to upgrade TGOS to a cloud-based system by the end of 2013 to provide increased flexibility, collaboration, disaster recovery and cost savings. A SWOT analysis identifies the variety and accuracy of maps as strengths while noting challenges around old habits and an API still under development.
Example of repetitive project with probabilistic activity durations and work ...Chachrist Srisuwanrat
Showing how the Sequence Step Algorithm, a simulation-based scheduling algorithm models and solves scheduling problem of repetitive project with probabilistic activity durations and work breaks.
Five characteristics of repetitive activities in construction projectsChachrist Srisuwanrat
Examples and explanation of 5 Characteristics of Repetitive Activities in Construction Projects
1. Deterministic and Non-Deterministic Duration Activities
2. Typical and Non-Typical Activities
3. Repetitive and Non-Repetitive Activities
4. Resource-Sharing Activities
5. Hard and Soft Logic Dependencies
Literature review of existing repetitive project scheduling techniques 2008Chachrist Srisuwanrat
A short summary of existing repetitive project scheduling techniques reviewing how they tackle, model, and solve repetitive scheduling problems in construction projects by considering the following:
1. What method or tool is used? (graphical method, linear programming, simulation, object-oriented programming, dynamic programming?
2. Can it model non-typical activities?
3. Can it model non-repetitive activities?
4. Can it maintain continuity in resource utilization or eliminate idle time?
5. Can it model or introduce interruption in workflow or schedule work break in advance?
6. Can it model soft logic among repetitive units?
Literature Review in Project Scheduling TechniquesObi-Ugbo Alex
This document provides a literature review of 33 journal articles on project scheduling techniques from 1994 to 2016. It summarizes various approaches that have been developed to overcome limitations of traditional scheduling tools like CPM and PERT in dealing with stochastic environments, resource constraints, and repetitive projects. The reviewed research aims to reduce project duration, solve time and resource constraints, and address issues in job shop scheduling. New methods discussed include dependency structure matrix, fuzzy critical path analysis, stochastic project scheduling simulation, line of balance for repetitive projects, and approaches using resource dependencies, discounted cash flows, and SAT solvers to deal with resource-constrained project scheduling problems.
This chapter discusses resource scheduling and costs for projects. It covers determining resource availability and demands over time, leveling resource utilization, and dealing with resource constraints. Methods are presented for allocating limited resources to activities in time-constrained and resource-constrained projects. The impacts of resource-constrained scheduling are also reviewed, including reduced flexibility and increased sensitivity of schedules.
Scheduling resources and costs is a crucial aspect of project management that...THULASIMANOHARAN2
This chapter discusses resource scheduling and costs for projects. It covers determining resource availability and demands over time, leveling resource utilization, and dealing with resource constraints. Methods are presented for allocating limited resources to activities in time-constrained and resource-constrained projects. The impacts of resource-constrained scheduling are also reviewed, including reduced flexibility and increased sensitivity of schedules.
Demo of integrated synergetic preservation workflow (WP8 ForgetIT 1st year r...ForgetIT Project
This document summarizes a presentation on an integrated preservation workflow for the ForgetIT project. It describes the key components of the Preservation Object Framework (PoF) middleware and cloud storage architecture. It then outlines the end-to-end workflow to preserve resources from an active system, including retrieving resources, processing content and metadata, preparing submission information packages, ingesting into an archive information system, and storing in a preservation data store. It also describes the resource restore workflow.
This document discusses the development of Taiwan Geospatial One Stop (TGOS), a national geospatial information system in Taiwan. TGOS provides a central portal for accessing nine spatial database categories covering natural environment, resources, transportation, land use, and more. The future plan is to upgrade TGOS to a cloud-based system by the end of 2013 to provide increased flexibility, collaboration, disaster recovery and cost savings. A SWOT analysis identifies the variety and accuracy of maps as strengths while noting challenges around old habits and an API still under development.
Example of repetitive project with probabilistic activity durations and work ...Chachrist Srisuwanrat
Showing how the Sequence Step Algorithm, a simulation-based scheduling algorithm models and solves scheduling problem of repetitive project with probabilistic activity durations and work breaks.
Five characteristics of repetitive activities in construction projectsChachrist Srisuwanrat
Examples and explanation of 5 Characteristics of Repetitive Activities in Construction Projects
1. Deterministic and Non-Deterministic Duration Activities
2. Typical and Non-Typical Activities
3. Repetitive and Non-Repetitive Activities
4. Resource-Sharing Activities
5. Hard and Soft Logic Dependencies
Literature review of existing repetitive project scheduling techniques 2008Chachrist Srisuwanrat
A short summary of existing repetitive project scheduling techniques reviewing how they tackle, model, and solve repetitive scheduling problems in construction projects by considering the following:
1. What method or tool is used? (graphical method, linear programming, simulation, object-oriented programming, dynamic programming?
2. Can it model non-typical activities?
3. Can it model non-repetitive activities?
4. Can it maintain continuity in resource utilization or eliminate idle time?
5. Can it model or introduce interruption in workflow or schedule work break in advance?
6. Can it model soft logic among repetitive units?
Literature Review in Project Scheduling TechniquesObi-Ugbo Alex
This document provides a literature review of 33 journal articles on project scheduling techniques from 1994 to 2016. It summarizes various approaches that have been developed to overcome limitations of traditional scheduling tools like CPM and PERT in dealing with stochastic environments, resource constraints, and repetitive projects. The reviewed research aims to reduce project duration, solve time and resource constraints, and address issues in job shop scheduling. New methods discussed include dependency structure matrix, fuzzy critical path analysis, stochastic project scheduling simulation, line of balance for repetitive projects, and approaches using resource dependencies, discounted cash flows, and SAT solvers to deal with resource-constrained project scheduling problems.
This chapter discusses resource scheduling and costs for projects. It covers determining resource availability and demands over time, leveling resource utilization, and dealing with resource constraints. Methods are presented for allocating limited resources to activities in time-constrained and resource-constrained projects. The impacts of resource-constrained scheduling are also reviewed, including reduced flexibility and increased sensitivity of schedules.
Scheduling resources and costs is a crucial aspect of project management that...THULASIMANOHARAN2
This chapter discusses resource scheduling and costs for projects. It covers determining resource availability and demands over time, leveling resource utilization, and dealing with resource constraints. Methods are presented for allocating limited resources to activities in time-constrained and resource-constrained projects. The impacts of resource-constrained scheduling are also reviewed, including reduced flexibility and increased sensitivity of schedules.
This document discusses resource scheduling and costs for projects. It covers resource constraints that can impact project schedules, including limited people, materials, equipment, and working capital. It describes methods for scheduling time-constrained and resource-constrained projects, including leveling resource demand to reduce peaks and fluctuations. The document also discusses splitting activities, managing multi-project resources, and creating time-phased budgets and cash flow statements to plan and track project costs.
MoonDB: Restoration & Synthesis of Planetary Geochemical DataKerstin Lehnert
This presentation explains the MoonDB project that will restore and synthesize geochemical and petrological data acquired on lunar samples over more than 4 decades. The project is a collaboration between the IEDA data facility (http://www.iedadata.org) at the Lamont-Doherty Earth Observatory of Columbia University and the Astromaterials Acquisition and Curation Office (AACO) at Johnson Space Center (JSC).
This document discusses resource allocation for projects. It defines resource allocation as assigning available resources in the most effective and economical manner to balance competing demands. The critical path method is described as a way to calculate crash durations to expedite projects by spending more on resources. Resource leveling is discussed as a way to smooth resource usage over time to avoid overallocation. Finally, priority rules and software can be used to allocate scarce resources between multiple projects.
This document discusses resource scheduling and costs for projects. It covers the resource problem when assigning resources to project networks, different types of project constraints, classifying projects as time-constrained or resource-constrained, and methods for allocating resources including leveling techniques. It also discusses the impacts of resource-constrained scheduling, splitting activities, benefits of scheduling resources, and managing resource schedules across multiple projects.
This document summarizes key concepts around resource allocation and scheduling projects. It discusses allocating human and technical resources to individual or multiple simultaneous projects. The critical path method and crashing projects to expedite them is covered, noting that faster completion incurs higher costs. Crashing changes the schedule and budget for all activities. Resource allocation problems arise from considering both time and resource availability constraints. The resource allocation problem, time vs resource limitations, and resource loading are defined to understand resource demands on a firm. Leveling resources can shift activity timing to smooth resource usage over a project's duration.
This document discusses resource scheduling and costs for projects. It covers resource constraints, leveling techniques to smooth resource demands, and resource-constrained scheduling methods. Resource-constrained projects have fixed resources and flexible timelines, while time-constrained projects have fixed timelines and flexible resources. The document also discusses developing time-phased budgets and cost baselines from resource schedules to track project progress and costs.
This document discusses resource leveling for a construction project. It begins by defining resource leveling as adjusting start and finish dates based on resource constraints to balance demand and supply. The document then describes different types of resource leveling like delaying tasks, splitting tasks, and overtime. It presents a case study of leveling resources like transit mixers and prestressing jacks on a bridge construction project. Initially some resources were overallocated, but leveling resolved the overallocations and avoided project delays. Leveling non-critical paths could cause some tasks to become critical and increase the project duration. The case study demonstrates how resource leveling in Microsoft Project can optimize a schedule.
fpbm- pg subject in Construction Managamentdeepika977036
This document discusses heuristic procedures for reactive project scheduling. It outlines four reactive scheduling procedures - priority lists scheduling, fixed resource allocation, sampling approach, and heuristic weighted earliness-tardiness procedure. It also describes the properties of heuristic algorithms and experimental setup testing the reactive procedures on 600 project instances from the PSPLIB 120 data set. The conclusions suggest that further research could apply sampling to minimize expected makespan or use different priority lists.
This document discusses project time management processes including defining activities, sequencing activities, estimating activity resources and durations, and developing the project schedule. Key points covered include identifying specific actions needed to complete project deliverables, determining logical relationships between activities, estimating resources like people, equipment and supplies required for each activity, and approximating the time needed to complete individual activities. Tools like precedence diagramming, expert judgement, and project management software are used to help with these time management tasks.
Resource Allocation using Virtual ClustersMark Stillwell
This document proposes a novel approach for sharing cluster resources among competing jobs using virtual clusters. It formalizes the resource allocation problem, establishes its complexity as NP-hard, and proposes algorithms to solve it for sequential jobs in a static workload. Simulation results identify an efficient algorithm that produces allocations close to optimal by maximizing the minimum yield metric, which captures both performance and fairness. The approach is extended to parallel jobs and dynamic workloads.
This document provides an overview and lessons for managing projects with Microsoft Project. It covers project management basics, introducing Microsoft Project, planning a project, monitoring and controlling a project, and closing a project. The lessons teach how to set up a project plan, establish tasks and resources, build a schedule, track progress, customize views and reports, and obtain project acceptance. Key terms are defined for each lesson topic.
AHM 2014: Revisting Governance Model, Preparing for Next StepsEarthCube
The document lists several potential priorities for EarthCube including developing an emergent architecture, identifying and promoting success stories, providing guidelines for shared services, developing common end user training, benchmarking progress against scientific needs, creating a prototype to demonstrate connectivity and functionality, documenting scientific workflows, and coordinating projects. Additional options mentioned are scoping and articulating a vision, identifying collaborations, documenting use cases, engaging academia in education, improving data management plans and data discovery, establishing light governance led by scientists, tying different design efforts together, determining funding mechanisms, adopting standards, enabling participation from diverse fields, and engaging stakeholders.
Container Rebalancing: Towards Proactive Linux Containers Placement in a Data...Pongsakorn U-chupala
This document proposes a method called Container Rebalancing to optimize placement of Linux containers in a datacenter by taking advantage of containers' rapid migration capability. Container Rebalancing works alongside an existing scheduling process by periodically identifying container pairs that can be swapped between hosts to improve resource utilization balance across hosts. An evaluation using workload traces from Google clusters shows Container Rebalancing is able to increase average cluster utilization and container scheduling rates compared to general scheduling alone, demonstrating its potential to improve datacenter efficiency.
This document discusses the key processes involved in project schedule management. It describes the seven processes as follows: 1) Plan Schedule Management which establishes policies and documentation for managing the project schedule. 2) Define Activities which identifies specific work to produce deliverables. 3) Sequence Activities which determines the logical order of work. 4) Estimate Activity Resources which estimates resource needs. 5) Estimate Activity Durations which estimates activity timelines. 6) Develop Schedule which analyzes activity details to create a schedule model. 7) Control Schedule which monitors schedule status and manages changes. For each process, it outlines important inputs, tools, and outputs involved in effective schedule management.
The document discusses the Fermilab HEPCloud facility, which provides computing resources for high energy physics experiments. HEPCloud integrates commercial cloud resources from Amazon Web Services (AWS) with Fermilab's physically owned resources to provide elastic computing capacity. This allows experiments to burst to peak usage levels when needed. Several challenges are discussed around optimizing performance, provisioning, storage, networking, and monitoring when running scientific workflows on AWS. Examples of experiments using HEPCloud include NOvA processing datasets, searches for gravitational wave counterparts by the Dark Energy Survey, and CMS Monte Carlo simulations. HEPCloud aims to provide resources efficiently whether demand is high or low.
The document discusses enterprise resource management (ERM) using Microsoft Project Server 2007. It defines ERM as managing resources belonging to the whole organization. It explains that a Microsoft ERM solution can provide visibility into resource demand, capacity, and utilization. It outlines key Microsoft ERM features like defining generic and material resources, setting cost rates and calendars, and resource availability reporting. The document demonstrates how to use these features to capture resource requests, select projects, plan capacity, develop detailed project plans, and track project and resource performance.
This document provides an overview and agenda for a lecture on resource scheduling problems. It discusses types of resource constraints, classifying scheduling problems as time-constrained or resource-constrained, and methods for resource allocation including leveling techniques. It provides examples of resource-constrained scheduling using heuristics and discusses impacts such as increased criticality. Other topics covered include splitting activities, benefits of scheduling resources, developing multi-project resource schedules, and using resource schedules to create time-phased budget baselines.
This document discusses activity planning and scheduling for projects. It covers defining activities, identifying activities using different approaches, sequencing activities based on dependencies, and scheduling activities while considering resource availability and allocation. The key steps in developing a project schedule are deciding on activities and their order, creating an ideal activity plan, risk analysis to identify potential issues, and allocating resources which could impact the schedule.
Project scheduling and resource levelling_Construction Management A Makwana
At the time of preparing the network of any project, usually it is assumed that all resources needed for its execution are available in plenty and no consideration of resource constraints is taken into account.
In such situations the duration of the project may increase escalating the cost of the project.
A graphical scheduling method focuses on planning resources to work continuously without interruption or idle time. The method is applicable to most construction projects consisting of repeating activities. Examples of repetitive projects are housing projects, high-rise buildings, and highways.
VDO in Thai language
https://www.youtube.com/playlist?list=PLxmusrL06qmISGPAmaED5TrV7QYahIPB6
This document describes the process of time-cost tradeoff analysis to minimize the total cost of a project. It involves shortening the duration of critical project activities by paying extra money according to each activity's crash rate or slope. The process begins with creating an activity-on-node network using normal activity durations. It then iteratively selects the cheapest critical activity to crash based on crash rates, updates the network, and identifies the next critical path to determine if further crashing is needed to shorten the project duration. The objective is to determine the combination of critical activities to crash that results in the minimum total project cost.
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This document discusses resource scheduling and costs for projects. It covers resource constraints that can impact project schedules, including limited people, materials, equipment, and working capital. It describes methods for scheduling time-constrained and resource-constrained projects, including leveling resource demand to reduce peaks and fluctuations. The document also discusses splitting activities, managing multi-project resources, and creating time-phased budgets and cash flow statements to plan and track project costs.
MoonDB: Restoration & Synthesis of Planetary Geochemical DataKerstin Lehnert
This presentation explains the MoonDB project that will restore and synthesize geochemical and petrological data acquired on lunar samples over more than 4 decades. The project is a collaboration between the IEDA data facility (http://www.iedadata.org) at the Lamont-Doherty Earth Observatory of Columbia University and the Astromaterials Acquisition and Curation Office (AACO) at Johnson Space Center (JSC).
This document discusses resource allocation for projects. It defines resource allocation as assigning available resources in the most effective and economical manner to balance competing demands. The critical path method is described as a way to calculate crash durations to expedite projects by spending more on resources. Resource leveling is discussed as a way to smooth resource usage over time to avoid overallocation. Finally, priority rules and software can be used to allocate scarce resources between multiple projects.
This document discusses resource scheduling and costs for projects. It covers the resource problem when assigning resources to project networks, different types of project constraints, classifying projects as time-constrained or resource-constrained, and methods for allocating resources including leveling techniques. It also discusses the impacts of resource-constrained scheduling, splitting activities, benefits of scheduling resources, and managing resource schedules across multiple projects.
This document summarizes key concepts around resource allocation and scheduling projects. It discusses allocating human and technical resources to individual or multiple simultaneous projects. The critical path method and crashing projects to expedite them is covered, noting that faster completion incurs higher costs. Crashing changes the schedule and budget for all activities. Resource allocation problems arise from considering both time and resource availability constraints. The resource allocation problem, time vs resource limitations, and resource loading are defined to understand resource demands on a firm. Leveling resources can shift activity timing to smooth resource usage over a project's duration.
This document discusses resource scheduling and costs for projects. It covers resource constraints, leveling techniques to smooth resource demands, and resource-constrained scheduling methods. Resource-constrained projects have fixed resources and flexible timelines, while time-constrained projects have fixed timelines and flexible resources. The document also discusses developing time-phased budgets and cost baselines from resource schedules to track project progress and costs.
This document discusses resource leveling for a construction project. It begins by defining resource leveling as adjusting start and finish dates based on resource constraints to balance demand and supply. The document then describes different types of resource leveling like delaying tasks, splitting tasks, and overtime. It presents a case study of leveling resources like transit mixers and prestressing jacks on a bridge construction project. Initially some resources were overallocated, but leveling resolved the overallocations and avoided project delays. Leveling non-critical paths could cause some tasks to become critical and increase the project duration. The case study demonstrates how resource leveling in Microsoft Project can optimize a schedule.
fpbm- pg subject in Construction Managamentdeepika977036
This document discusses heuristic procedures for reactive project scheduling. It outlines four reactive scheduling procedures - priority lists scheduling, fixed resource allocation, sampling approach, and heuristic weighted earliness-tardiness procedure. It also describes the properties of heuristic algorithms and experimental setup testing the reactive procedures on 600 project instances from the PSPLIB 120 data set. The conclusions suggest that further research could apply sampling to minimize expected makespan or use different priority lists.
This document discusses project time management processes including defining activities, sequencing activities, estimating activity resources and durations, and developing the project schedule. Key points covered include identifying specific actions needed to complete project deliverables, determining logical relationships between activities, estimating resources like people, equipment and supplies required for each activity, and approximating the time needed to complete individual activities. Tools like precedence diagramming, expert judgement, and project management software are used to help with these time management tasks.
Resource Allocation using Virtual ClustersMark Stillwell
This document proposes a novel approach for sharing cluster resources among competing jobs using virtual clusters. It formalizes the resource allocation problem, establishes its complexity as NP-hard, and proposes algorithms to solve it for sequential jobs in a static workload. Simulation results identify an efficient algorithm that produces allocations close to optimal by maximizing the minimum yield metric, which captures both performance and fairness. The approach is extended to parallel jobs and dynamic workloads.
This document provides an overview and lessons for managing projects with Microsoft Project. It covers project management basics, introducing Microsoft Project, planning a project, monitoring and controlling a project, and closing a project. The lessons teach how to set up a project plan, establish tasks and resources, build a schedule, track progress, customize views and reports, and obtain project acceptance. Key terms are defined for each lesson topic.
AHM 2014: Revisting Governance Model, Preparing for Next StepsEarthCube
The document lists several potential priorities for EarthCube including developing an emergent architecture, identifying and promoting success stories, providing guidelines for shared services, developing common end user training, benchmarking progress against scientific needs, creating a prototype to demonstrate connectivity and functionality, documenting scientific workflows, and coordinating projects. Additional options mentioned are scoping and articulating a vision, identifying collaborations, documenting use cases, engaging academia in education, improving data management plans and data discovery, establishing light governance led by scientists, tying different design efforts together, determining funding mechanisms, adopting standards, enabling participation from diverse fields, and engaging stakeholders.
Container Rebalancing: Towards Proactive Linux Containers Placement in a Data...Pongsakorn U-chupala
This document proposes a method called Container Rebalancing to optimize placement of Linux containers in a datacenter by taking advantage of containers' rapid migration capability. Container Rebalancing works alongside an existing scheduling process by periodically identifying container pairs that can be swapped between hosts to improve resource utilization balance across hosts. An evaluation using workload traces from Google clusters shows Container Rebalancing is able to increase average cluster utilization and container scheduling rates compared to general scheduling alone, demonstrating its potential to improve datacenter efficiency.
This document discusses the key processes involved in project schedule management. It describes the seven processes as follows: 1) Plan Schedule Management which establishes policies and documentation for managing the project schedule. 2) Define Activities which identifies specific work to produce deliverables. 3) Sequence Activities which determines the logical order of work. 4) Estimate Activity Resources which estimates resource needs. 5) Estimate Activity Durations which estimates activity timelines. 6) Develop Schedule which analyzes activity details to create a schedule model. 7) Control Schedule which monitors schedule status and manages changes. For each process, it outlines important inputs, tools, and outputs involved in effective schedule management.
The document discusses the Fermilab HEPCloud facility, which provides computing resources for high energy physics experiments. HEPCloud integrates commercial cloud resources from Amazon Web Services (AWS) with Fermilab's physically owned resources to provide elastic computing capacity. This allows experiments to burst to peak usage levels when needed. Several challenges are discussed around optimizing performance, provisioning, storage, networking, and monitoring when running scientific workflows on AWS. Examples of experiments using HEPCloud include NOvA processing datasets, searches for gravitational wave counterparts by the Dark Energy Survey, and CMS Monte Carlo simulations. HEPCloud aims to provide resources efficiently whether demand is high or low.
The document discusses enterprise resource management (ERM) using Microsoft Project Server 2007. It defines ERM as managing resources belonging to the whole organization. It explains that a Microsoft ERM solution can provide visibility into resource demand, capacity, and utilization. It outlines key Microsoft ERM features like defining generic and material resources, setting cost rates and calendars, and resource availability reporting. The document demonstrates how to use these features to capture resource requests, select projects, plan capacity, develop detailed project plans, and track project and resource performance.
This document provides an overview and agenda for a lecture on resource scheduling problems. It discusses types of resource constraints, classifying scheduling problems as time-constrained or resource-constrained, and methods for resource allocation including leveling techniques. It provides examples of resource-constrained scheduling using heuristics and discusses impacts such as increased criticality. Other topics covered include splitting activities, benefits of scheduling resources, developing multi-project resource schedules, and using resource schedules to create time-phased budget baselines.
This document discusses activity planning and scheduling for projects. It covers defining activities, identifying activities using different approaches, sequencing activities based on dependencies, and scheduling activities while considering resource availability and allocation. The key steps in developing a project schedule are deciding on activities and their order, creating an ideal activity plan, risk analysis to identify potential issues, and allocating resources which could impact the schedule.
Project scheduling and resource levelling_Construction Management A Makwana
At the time of preparing the network of any project, usually it is assumed that all resources needed for its execution are available in plenty and no consideration of resource constraints is taken into account.
In such situations the duration of the project may increase escalating the cost of the project.
Similar to Model and schedule resource-sharing activities in repetitive projects using concept of the Sequence Step Algorithm (20)
A graphical scheduling method focuses on planning resources to work continuously without interruption or idle time. The method is applicable to most construction projects consisting of repeating activities. Examples of repetitive projects are housing projects, high-rise buildings, and highways.
VDO in Thai language
https://www.youtube.com/playlist?list=PLxmusrL06qmISGPAmaED5TrV7QYahIPB6
This document describes the process of time-cost tradeoff analysis to minimize the total cost of a project. It involves shortening the duration of critical project activities by paying extra money according to each activity's crash rate or slope. The process begins with creating an activity-on-node network using normal activity durations. It then iteratively selects the cheapest critical activity to crash based on crash rates, updates the network, and identifies the next critical path to determine if further crashing is needed to shorten the project duration. The objective is to determine the combination of critical activities to crash that results in the minimum total project cost.
Project analysis and advanced data calculation and conditional formattingChachrist Srisuwanrat
This document discusses using Excel to simulate project risks and calculate project durations under uncertainty. It describes using Monte Carlo simulation to assign probabilistic durations to project activities, calculate early and late start/finish dates, and determine the project duration and float for multiple simulations. The results are analyzed to determine the best, most likely, and worst case project durations based on the simulations. Advanced data analysis techniques like two-way tables, conditional formatting, and data tables are demonstrated for calculating project profits and costs under different input assumptions.
Explanation of Genetic Algorithm in simulation and example of repetitive project modeled in ChaStrobe software in order to optimize project duration and idle time in the example with following features:
1. probabilistic activity durations
2. resource-sharing activities
3. options of scheduling work breaks
4. consider relaxing continuous resource utilization constraints
ChaStrobe Application, a simulation-based scheduling software for repetitive ...Chachrist Srisuwanrat
Screenshots and outputs from ChaStrobe, a simulation-based scheduling software for repetitive projects with probabilistic activity durations according to the Sequence Step Algorithm, SQS-AL. ChaStrobe is built on top of Professor Julio C. Martinez's Stroboscope (http://www.ezstrobe.com/). Both ChaStrobe and Stroboscope are Ph.D. dissertation at University of Michigan, supervised by our beloved Professor Photios G. Ioannou.
Cited from my thesis:
For Professor Photios G. Ioannou.
My academic journey would not have been possible without my beloved and respected advisor, Professor Photios G. Ioannou. Great indebtedness goes to his belief in me and the opportunity he has offered to continue my academic journey at the University of Michigan. It has been an honor to work under his direction. During the development of this research, he has always reinforced to me that we can make a difference, a great one. And here I am, with this research. His interesting guidance, valuable advice, and constructive skepticism have contributed to the achievement of this research. I wish him and his family a blissful and healthy life.
For Professor Julio C. Martinez, who's gone too soon.
Special acknowledgement goes to Professor Julio C. Martinez for his technical support in Stroboscope. His thesis and Stroboscope inspire both my thesis and my application for this research, called “ChaStrobe.” Without his support and Stroboscope, I may have taken a more difficult path in establishing the application.
Example of repetitive project with probabilistic activity durationsChachrist Srisuwanrat
Showing how the Sequence Step Algorithm, a simulation-based scheduling algorithm models and solves scheduling problem of repetitive project with probabilistic activity durations.
Sequence step algorithm repetitive project scheduling for project with probab...Chachrist Srisuwanrat
The Sequence Step Algorithm (SQS-AL) is a general scheduling algorithm for minimizing the duration of repetitive projects with probabilistic activity durations while achieving continuous resource utilization. SQS-AL consists of two main nested loops: the sequence step loop and the replication loop. For each sequence step, each replication loop is a simulation run that collects crew idle time for activities in that sequence step. The collected crew idle times are, then, used to determine resource arrival dates for user-specified confidence levels, i.e., probabilities of having zero idle time in corresponding activities. The process of collecting the crew idle times and determining crew arrival times for activities on a considered sequence step is repeated from the first to the last sequence step. The effect of scheduling activities on the crew idle times for following activities is revealed step by step prior to scheduling the following activities. As a result, SQS-AL can guarantee continuous resource utilization for the user-specified confidence levels.
Presentation for Microsoft Project 2010 Workshop at Uthenthawai http://www.uthen.rmutto.ac.th/ teaching how to use MS Project 2010 for beginners
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This presentation includes basic of PCOS their pathology and treatment and also Ayurveda correlation of PCOS and Ayurvedic line of treatment mentioned in classics.
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...Dr. Vinod Kumar Kanvaria
Exploiting Artificial Intelligence for Empowering Researchers and Faculty,
International FDP on Fundamentals of Research in Social Sciences
at Integral University, Lucknow, 06.06.2024
By Dr. Vinod Kumar Kanvaria
Strategies for Effective Upskilling is a presentation by Chinwendu Peace in a Your Skill Boost Masterclass organisation by the Excellence Foundation for South Sudan on 08th and 09th June 2024 from 1 PM to 3 PM on each day.
The simplified electron and muon model, Oscillating Spacetime: The Foundation...RitikBhardwaj56
Discover the Simplified Electron and Muon Model: A New Wave-Based Approach to Understanding Particles delves into a groundbreaking theory that presents electrons and muons as rotating soliton waves within oscillating spacetime. Geared towards students, researchers, and science buffs, this book breaks down complex ideas into simple explanations. It covers topics such as electron waves, temporal dynamics, and the implications of this model on particle physics. With clear illustrations and easy-to-follow explanations, readers will gain a new outlook on the universe's fundamental nature.
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A workshop hosted by the South African Journal of Science aimed at postgraduate students and early career researchers with little or no experience in writing and publishing journal articles.
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Odoo provides an option for creating a module by using a single line command. By using this command the user can make a whole structure of a module. It is very easy for a beginner to make a module. There is no need to make each file manually. This slide will show how to create a module using the scaffold method.
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...PECB
Denis is a dynamic and results-driven Chief Information Officer (CIO) with a distinguished career spanning information systems analysis and technical project management. With a proven track record of spearheading the design and delivery of cutting-edge Information Management solutions, he has consistently elevated business operations, streamlined reporting functions, and maximized process efficiency.
Certified as an ISO/IEC 27001: Information Security Management Systems (ISMS) Lead Implementer, Data Protection Officer, and Cyber Risks Analyst, Denis brings a heightened focus on data security, privacy, and cyber resilience to every endeavor.
His expertise extends across a diverse spectrum of reporting, database, and web development applications, underpinned by an exceptional grasp of data storage and virtualization technologies. His proficiency in application testing, database administration, and data cleansing ensures seamless execution of complex projects.
What sets Denis apart is his comprehensive understanding of Business and Systems Analysis technologies, honed through involvement in all phases of the Software Development Lifecycle (SDLC). From meticulous requirements gathering to precise analysis, innovative design, rigorous development, thorough testing, and successful implementation, he has consistently delivered exceptional results.
Throughout his career, he has taken on multifaceted roles, from leading technical project management teams to owning solutions that drive operational excellence. His conscientious and proactive approach is unwavering, whether he is working independently or collaboratively within a team. His ability to connect with colleagues on a personal level underscores his commitment to fostering a harmonious and productive workplace environment.
Date: May 29, 2024
Tags: Information Security, ISO/IEC 27001, ISO/IEC 42001, Artificial Intelligence, GDPR
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Model and schedule resource-sharing activities in repetitive projects using concept of the Sequence Step Algorithm
1. (V) Resource-Sharing Activities 1
RESOURCE-SHARING ACTIVITIES
IN REPETITIVE PROJECTS
Model and schedule resource-sharing activities
for the Sequence Step Algorithm
Presented by
Chachrist Srisuwanrat
2008
2. (V) Resource-Sharing Activities 2
4. RESOURCE-SHARING ACTIVITIES
Activities sharing one or more
resources, called “resource-sharing
activities”
“Shared Resources”
How to schedule shared resources?
What could be the problems?
4. (V) Resource-Sharing Activities 4
Considerations When Scheduling
Resource-Sharing Activities
Need to collect CIT and determine CLT
• In which sequence step?
Need to delay resources’ arrival dates to eliminate
idle time
• Can the idle time in shared resources be eliminated?
Need to allocate shared resource to activities
• Which resource-sharing activity gets the shared
resource first?
Imposing CLT might change:
• CIT for the shared resource itself and of other resources
• Working sequences for the shared resource?
Supplementary Presentation V
5. (V) Resource-Sharing Activities 5
Scheduling Resource-Sharing Activities
When using SQS-AL to schedule repetitive projects with
resource-sharing activities, schedulers must pay
attention to:
• Increasing idle time from SQS to SQS
• Changes in work sequence for shared resources
• Slow production rates of dependents between the
resource-sharing activities
• Precedence relationships between resource-sharing
activities (e.g., direct or indirect)
• Proximity of start dates for resource-sharing activities
• Effect of assigning CLT on their dependents
6. (V) Resource-Sharing Activities 6
(a) Determine CLTXY in SQS2
(b) Determine CLTXY in SQS3
In Which SQS? (SQS2 or SQS3)
Activities X and Y share the
same Resource ResXY.
7. (V) Resource-Sharing Activities 7
Can the idle time in shared be
eliminated?
(a) Determine CLTXY in SQS2 (b) Determine CLTXY in SQS4
8. (V) Resource-Sharing Activities 8
(a) Using two dedicated resources (b) Introducing a work break
(c) Speeding Activity B (d) Lowering Activities X and Y
Solutions for shared resources when their idle time cannot be eliminated