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.
1. Phil Harris, the Production Control Manager at Brunswick Motors, wants to illustrate time-phased requirements planning using an example with the company's Model 1000 engine. He prepares a master schedule for the engine over 12 weeks.
2. Phil considers two components for the engine, the gear box and input shaft. He includes their manufacturing lead times and product structure. The gear box takes 2 weeks to produce and the input shaft takes 3 weeks.
3. Phil plans to use MRP worksheets and make assumptions about starting inventory levels and scheduled deliveries for the gear box and input shaft. He will calculate net requirements and planned order releases using lot-for-lot ordering.
Rough run Oblivious Bloom IntersectionAditya Mehta
1. The document describes the Oblivious Bloom Intersection protocol for privately comparing sets between a client and server.
2. The client builds a Bloom filter from its set and the server builds garbled Bloom filters (GBFs) from its set using cryptographic techniques.
3. Oblivious transfer is used to retrieve bits from the GBFs to reconstruct the client's Bloom filter, revealing any intersecting elements without revealing non-intersecting elements.
This document contains an agenda and notes from a technical discussion. It includes topics like Kubernetes, etcd, the operator framework, Kafka installation on OpenShift, Zookeeper, and configuration management. Various technical concepts and components are defined briefly.
The document appears to be pages from the New England Law Review from 2007-2008 that discuss various legal topics. However, as there is no other context or information provided, it is difficult to determine the essential information or high-level topic being discussed across the multiple pages.
This document provides a cash flow portfolio for the District Cooling Plant project in Rihan Heights. It includes sections on cash in data, cash out data, and cash flow. The cash in section details the planned value and timing of works and monthly invoices totalling $53,166,017 over the project period from July 2010 to May 2012. The cash out section similarly outlines planned expenditures totalling the same amount. Section 3 presents the resulting projected cash flow curve and liquidity for the project.
This document contains information from a gas chromatography–mass spectrometry (GCMS) analysis. It includes the sample name, Nazarudin hidrokarbom MJ, analysis details, and a chromatogram showing four peaks between 39-45 minutes that comprise over 99% of the total ion count. The largest peaks are at 41.7 and 44.7 minutes, making up 37% and 34.17% of the total area respectively.
Quick sort uses a divide-and-conquer approach to sort a list. It works by selecting a pivot element, partitioning the list into elements less than, equal to, and greater than the pivot, and then recursively sorting the sub-lists. The example shows quick sort being applied to a list of numbers, with the pivot being swapped with other elements to partition the list into sorted sub-lists on each iteration.
1. Phil Harris, the Production Control Manager at Brunswick Motors, wants to illustrate time-phased requirements planning using an example with the company's Model 1000 engine. He prepares a master schedule for the engine over 12 weeks.
2. Phil considers two components for the engine, the gear box and input shaft. He includes their manufacturing lead times and product structure. The gear box takes 2 weeks to produce and the input shaft takes 3 weeks.
3. Phil plans to use MRP worksheets and make assumptions about starting inventory levels and scheduled deliveries for the gear box and input shaft. He will calculate net requirements and planned order releases using lot-for-lot ordering.
Rough run Oblivious Bloom IntersectionAditya Mehta
1. The document describes the Oblivious Bloom Intersection protocol for privately comparing sets between a client and server.
2. The client builds a Bloom filter from its set and the server builds garbled Bloom filters (GBFs) from its set using cryptographic techniques.
3. Oblivious transfer is used to retrieve bits from the GBFs to reconstruct the client's Bloom filter, revealing any intersecting elements without revealing non-intersecting elements.
This document contains an agenda and notes from a technical discussion. It includes topics like Kubernetes, etcd, the operator framework, Kafka installation on OpenShift, Zookeeper, and configuration management. Various technical concepts and components are defined briefly.
The document appears to be pages from the New England Law Review from 2007-2008 that discuss various legal topics. However, as there is no other context or information provided, it is difficult to determine the essential information or high-level topic being discussed across the multiple pages.
This document provides a cash flow portfolio for the District Cooling Plant project in Rihan Heights. It includes sections on cash in data, cash out data, and cash flow. The cash in section details the planned value and timing of works and monthly invoices totalling $53,166,017 over the project period from July 2010 to May 2012. The cash out section similarly outlines planned expenditures totalling the same amount. Section 3 presents the resulting projected cash flow curve and liquidity for the project.
This document contains information from a gas chromatography–mass spectrometry (GCMS) analysis. It includes the sample name, Nazarudin hidrokarbom MJ, analysis details, and a chromatogram showing four peaks between 39-45 minutes that comprise over 99% of the total ion count. The largest peaks are at 41.7 and 44.7 minutes, making up 37% and 34.17% of the total area respectively.
Quick sort uses a divide-and-conquer approach to sort a list. It works by selecting a pivot element, partitioning the list into elements less than, equal to, and greater than the pivot, and then recursively sorting the sub-lists. The example shows quick sort being applied to a list of numbers, with the pivot being swapped with other elements to partition the list into sorted sub-lists on each iteration.
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.
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?
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
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
-scheduling
-resource leveling
-multiple calendars
-S-curve
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.
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
How to Manage Your Lost Opportunities in Odoo 17 CRMCeline George
Odoo 17 CRM allows us to track why we lose sales opportunities with "Lost Reasons." This helps analyze our sales process and identify areas for improvement. Here's how to configure lost reasons in Odoo 17 CRM
Executive Directors Chat Leveraging AI for Diversity, Equity, and InclusionTechSoup
Let’s explore the intersection of technology and equity in the final session of our DEI series. Discover how AI tools, like ChatGPT, can be used to support and enhance your nonprofit's DEI initiatives. Participants will gain insights into practical AI applications and get tips for leveraging technology to advance their DEI goals.
বাংলাদেশের অর্থনৈতিক সমীক্ষা ২০২৪ [Bangladesh Economic Review 2024 Bangla.pdf] কম্পিউটার , ট্যাব ও স্মার্ট ফোন ভার্সন সহ সম্পূর্ণ বাংলা ই-বুক বা pdf বই " সুচিপত্র ...বুকমার্ক মেনু 🔖 ও হাইপার লিংক মেনু 📝👆 যুক্ত ..
আমাদের সবার জন্য খুব খুব গুরুত্বপূর্ণ একটি বই ..বিসিএস, ব্যাংক, ইউনিভার্সিটি ভর্তি ও যে কোন প্রতিযোগিতা মূলক পরীক্ষার জন্য এর খুব ইম্পরট্যান্ট একটি বিষয় ...তাছাড়া বাংলাদেশের সাম্প্রতিক যে কোন ডাটা বা তথ্য এই বইতে পাবেন ...
তাই একজন নাগরিক হিসাবে এই তথ্য গুলো আপনার জানা প্রয়োজন ...।
বিসিএস ও ব্যাংক এর লিখিত পরীক্ষা ...+এছাড়া মাধ্যমিক ও উচ্চমাধ্যমিকের স্টুডেন্টদের জন্য অনেক কাজে আসবে ...
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.
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?
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
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
-scheduling
-resource leveling
-multiple calendars
-S-curve
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.
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
How to Manage Your Lost Opportunities in Odoo 17 CRMCeline George
Odoo 17 CRM allows us to track why we lose sales opportunities with "Lost Reasons." This helps analyze our sales process and identify areas for improvement. Here's how to configure lost reasons in Odoo 17 CRM
Executive Directors Chat Leveraging AI for Diversity, Equity, and InclusionTechSoup
Let’s explore the intersection of technology and equity in the final session of our DEI series. Discover how AI tools, like ChatGPT, can be used to support and enhance your nonprofit's DEI initiatives. Participants will gain insights into practical AI applications and get tips for leveraging technology to advance their DEI goals.
বাংলাদেশের অর্থনৈতিক সমীক্ষা ২০২৪ [Bangladesh Economic Review 2024 Bangla.pdf] কম্পিউটার , ট্যাব ও স্মার্ট ফোন ভার্সন সহ সম্পূর্ণ বাংলা ই-বুক বা pdf বই " সুচিপত্র ...বুকমার্ক মেনু 🔖 ও হাইপার লিংক মেনু 📝👆 যুক্ত ..
আমাদের সবার জন্য খুব খুব গুরুত্বপূর্ণ একটি বই ..বিসিএস, ব্যাংক, ইউনিভার্সিটি ভর্তি ও যে কোন প্রতিযোগিতা মূলক পরীক্ষার জন্য এর খুব ইম্পরট্যান্ট একটি বিষয় ...তাছাড়া বাংলাদেশের সাম্প্রতিক যে কোন ডাটা বা তথ্য এই বইতে পাবেন ...
তাই একজন নাগরিক হিসাবে এই তথ্য গুলো আপনার জানা প্রয়োজন ...।
বিসিএস ও ব্যাংক এর লিখিত পরীক্ষা ...+এছাড়া মাধ্যমিক ও উচ্চমাধ্যমিকের স্টুডেন্টদের জন্য অনেক কাজে আসবে ...
This slide is special for master students (MIBS & MIFB) in UUM. Also useful for readers who are interested in the topic of contemporary Islamic banking.
हिंदी वर्णमाला पीपीटी, hindi alphabet PPT presentation, hindi varnamala PPT, Hindi Varnamala pdf, हिंदी स्वर, हिंदी व्यंजन, sikhiye hindi varnmala, dr. mulla adam ali, hindi language and literature, hindi alphabet with drawing, hindi alphabet pdf, hindi varnamala for childrens, hindi language, hindi varnamala practice for kids, https://www.drmullaadamali.com
Walmart Business+ and Spark Good for Nonprofits.pdfTechSoup
"Learn about all the ways Walmart supports nonprofit organizations.
You will hear from Liz Willett, the Head of Nonprofits, and hear about what Walmart is doing to help nonprofits, including Walmart Business and Spark Good. Walmart Business+ is a new offer for nonprofits that offers discounts and also streamlines nonprofits order and expense tracking, saving time and money.
The webinar may also give some examples on how nonprofits can best leverage Walmart Business+.
The event will cover the following::
Walmart Business + (https://business.walmart.com/plus) is a new shopping experience for nonprofits, schools, and local business customers that connects an exclusive online shopping experience to stores. Benefits include free delivery and shipping, a 'Spend Analytics” feature, special discounts, deals and tax-exempt shopping.
Special TechSoup offer for a free 180 days membership, and up to $150 in discounts on eligible orders.
Spark Good (walmart.com/sparkgood) is a charitable platform that enables nonprofits to receive donations directly from customers and associates.
Answers about how you can do more with Walmart!"
How to Setup Warehouse & Location in Odoo 17 InventoryCeline George
In this slide, we'll explore how to set up warehouses and locations in Odoo 17 Inventory. This will help us manage our stock effectively, track inventory levels, and streamline warehouse operations.
A review of the growth of the Israel Genealogy Research Association Database Collection for the last 12 months. Our collection is now passed the 3 million mark and still growing. See which archives have contributed the most. See the different types of records we have, and which years have had records added. You can also see what we have for the future.
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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This presentation was provided by Steph Pollock of The American Psychological Association’s Journals Program, and Damita Snow, of The American Society of Civil Engineers (ASCE), for the initial session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session One: 'Setting Expectations: a DEIA Primer,' was held June 6, 2024.
Pollock and Snow "DEIA in the Scholarly Landscape, Session One: Setting Expec...
Example of repetitive project with probabilistic activity durations and work breaks
1. (IV) Work Breaks 1
Schedule work breaks in repetitive projects
in order to reduce project duration
Presented by
Chachrist Srisuwanrat
2008
EXAMPLE OF SCHEDULING
A REPETITIVE PROJECT WITH
PROBABILISTIC ACTIVITY DURATIONS
AND WORK BREAKS
2. (IV) Work Breaks 2
Example of a Repetitive Project with
Work Breaks
A B
C
E
D
F
G
H
J
SQS1 SQS2 SQS3 SQS4 SQS5
3. (IV) Work Breaks 3
0
1
2
3
4
5
6
7
8
9
10
0 30 60 90 120 150 180 210 240 270 300 330 360 390 420 450
Time
Unit
A B C D E F G H J
Average Total Idle Time = 1 day
Average Project Duration = 449 days
Controlling Sequence
0
1
2
3
4
5
6
7
8
9
10
0 30 60 90 120 150 180 210 240 270 300 330 360 390 420 450
Time
Unit
A B C D E F G H J
Average Total Idle Time = 438 days
Average Project Duration = 277 days
Early-start schedule has project duration of 277 days but also has 438 days of idle time.
SQS-AL with no work breaks has average project duration of 449 days. SQS-AL schedule with no work breaks.
--288J
--102H
--282G
--78F
--120E
--120D
--68C
--114B
--0A
Crew
Return Date
(CLT2)
Work
Break
Location
Crew
Arrival Date
(CLT1)
Activity
4. (IV) Work Breaks 4
0
1
2
3
4
5
6
7
8
9
10
0 30 60 90 120 150 180 210 240 270 300 330 360 390 420 450
Time
Unit
A B C D E F G H J
Average Total Idle Time = 3 days
Average Project Duration = 376 days
Controlling Sequence
0
1
2
3
4
5
6
7
8
9
10
0 30 60 90 120 150 180 210 240 270 300 330 360 390 420 450
Time
Unit
A B C D E F G H J
Average Total Idle Time = 3 days
Average Project Duration = 342 days
Controlling Sequence
SQS-AL schedule with two work breaks has average project duration of 376 days.
SQS-AL schedule with three work breaks has average project duration of 342 days.
SQS-AL schedule with two work breaks.
SQS-AL schedule with three work breaks.
--180J
--84H
254G7-G8174G
--60F
--102E
--44D
98C4-C522C
134B5-B638B
--0A
Crew
Return Date
(CLT2)
Work
Break
Location
Crew
Arrival Date
(CLT1)
Activity
--214J
--102H
288G7-G8208G
--78F
--102E
--78D
--68C
134B5-B638B
--0A
Crew
Return Date
(CLT2)
Work
Break
Location
Crew
Arrival Date
(CLT1)
Activity
B5-B6
G7-G8
C4-C5
Improve
duration
by 73 days
Improve
duration
by 107 days
5. (IV) Work Breaks 5
Method Work Break
Positions
Average
Project
Duration
Average
Total Idle
Time
Project Duration
plus
idle time
CPM - 277 438 715
SQS-AL - 449 1 450
SQS-AL* G7-G8 410 3 413
SQS-AL** G7-G8, B5-B6 376 3 379
SQS-AL*** G7-G8, B5-B6,C4-C5 342 3 345
Results from Introducing Work Breaks
• SQS-AL reduces idle time by 22 months, compared to
CPM.
• SQS-AL*** with 3 work breaks reduces project duration
by 5 months, compared to SQS-AL w/o work breaks.