scholarly journals A DSM-Based CCPM-MPL Representation Method for Project Scheduling under Rework Scenarios

2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Guofeng Ma ◽  
Ming Wu ◽  
Keke Hao ◽  
Shanshan Shang
Keyword(s):  
Information Flow ◽  
Project Scheduling ◽  
Project Schedule ◽  
Design Structure ◽  
Flow Interactions ◽  
Critical Chain Project Management ◽  
Management Method ◽  
Representation Method ◽  
Relationship Of ◽  
Critical Chain

Rework risks caused by information flow interactions have become a major challenge in project scheduling. To deal with this challenge, we propose a model integrating the critical chain project management method, design structure matrix method, and max-plus method. Our model uses a start-to-start relationship of activities instead of the traditional finish-to-start relationship, which also allows overlaps between activities. We improve the accuracy of the rework safety time in two ways: (1) the overall overlapping effect is taken into consideration when calculating the rework time of an activity arising from the information flow interaction of its multiple predecessors overlapped with it; (2) the rework time arising from activity overlaps, the first rework time, and the second rework time are calculated as components of the rework safety time in our model, while the last one is ignored in traditional methods. Furthermore, the accuracy of time buffers is improved based on the improved rework safety time. Finally, we design the max-plus method to generate project schedules and appropriately sized time buffers. The empirical results show that the project schedule generated by the proposed method has a higher on-time completion probability, as well as more appropriately sized project buffers.

scholarly journals A Critical Design Structure Method for Project Schedule Development under Rework Risks

2019 ◽  
Vol 11 (24) ◽  
pp. 7229
Author(s):  
Guofeng Ma ◽  
Jianyao Jia ◽  
Tiancheng Zhu ◽  
Shan Jiang
Keyword(s):  
Resource Constraints ◽  
Project Schedule ◽  
Management Tools ◽  
Simulation Methodology ◽  
Schedule Management ◽  
Critical Design ◽  
Design Structure ◽  
Activity Sequence ◽  
Impact Area ◽  
Critical Chain

In order to overcome the difficulty in quantifying rework by traditional project schedule management tools, this study proposes an innovative method, namely improved Critical Chain Design Structure Matrix (ICCDSM). From the perspective of information flow, the authors firstly make assumptions on activity parameters and interactions between activities. After that, a genetic algorithm is employed to reorder the activity sequence, and a banding algorithm with consideration of resource constraints is used to identify concurrent activities. Then potential criticality is proposed to measure the importance of each activity, and the rework impact area is implicated to indicate potential rework windows. Next, two methods for calculating project buffer are employed. A simulation methodology is used to verify the proposed method. The simulation results illustrate that the ICCDSM method is capable of quantifying and visualizing rework and its impact, decreases iterations, and improves the completion probability. In this vein, this study provides a novel framework for rework management, which offers some insights for researchers and managers.

Offshore Platform Turn Around Using the Critical Chain Project Management Method (CCPM)

2009 ◽  
Author(s):  
Jose Finocchio Junior ◽  
Marcelo Ramos Martins
Keyword(s):  
Project Management ◽  
Critical Path ◽  
Theory Of Constraints ◽  
Structured Interviews ◽  
Oil Platforms ◽  
Qualitative Approaches ◽  
Decision Making Processes ◽  
Critical Chain Project Management ◽  
Management Method ◽  
Critical Chain

The present study discusses the adequacy of the Critical Chain Project Management Method (CCPM) — also known as the Critical Chain Method — for scheduling projects involving shutdowns on oil platforms, as such projects involve decision-making processes under risk conditions. The CCPM is based on the Theory of Constraints and aims at providing more precise and more clearly focused control instruments than those traditionally used in the Critical Path Method (CPM). The CCPM also indicates the best moments to act and where and how the action should be directed. The hypothesis underlying the research is that the CCPM portrays, more adequately than the CPM, the uncertainty that exists in a platform shutdown. This characteristic also makes it possible to draw up a schedule that is both more realistic and more challenging, as it addresses the goal of causing less interruption of production. On the basis of this hypothesis, the two main questions that oriented the entire investigation were: 1) Is the CCPM suitable for scheduling the shutdown of an offshore oil platform and, 2) What advantages might it have over the traditional methods in use? To answer these questions the authors reviewed the existing bibliography on the topic and made direct on-site observations during an actual shutdown. In addition, interviews were held with a number of specialists in the area using qualitative approaches, namely, semi-structured interviews, focus groups, and action research.

Optimisation of critical chain sequencing based on activities’ information flow interactions

2015 ◽  
Vol 53 (20) ◽  
pp. 6231-6241 ◽  
Author(s):  
Junguang Zhang ◽  
Xiwei Song ◽  
Hongyu Chen ◽  
Ruixia (Sandy) Shi
Keyword(s):  
Information Flow ◽  
Flow Interactions ◽  
Critical Chain

A Study of the Critical Chain Project Management Method Applied to a Multiproject System

2019 ◽  
Vol 50 (3) ◽  
pp. 322-334 ◽  
Author(s):  
Robert Eduardo Cooper Ordoñez ◽  
Mario Vanhoucke ◽  
José Coelho ◽  
Rosley Anholon ◽  
Olívio Novaski
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Project Management ◽  
Time Estimation ◽  
Key Factors ◽  
Critical Chain Project Management ◽  
Management Method ◽  
Critical Chain ◽  
Critical Resources

In 1997, Eliyahu Goldratt proposed a method called critical chain project management (CCPM) to minimize the inefficiencies identified in traditional project management. The project management community accepted the proposed method as a viable alternative. However, to allow its implementation with a multiproject system, more research was necessary. Seeking to identify the key factors that influence the performance of the multiproject system applying the CCPM method, we performed a case study. Logistic regression analysis showed that applying the CCPM method in a multiproject system allows for better time estimation of activities and facilitates the allocation of critical resources.

Application of Critical Chain Project Scheduling Theory in Power Plant Electrical Equipment Maintenance

2012 ◽  
Vol 614-615 ◽  
pp. 1985-1989 ◽  
Author(s):  
Lei Dong ◽  
Xiao Kun Zhao ◽  
Wen Ping Zhou ◽  
Qin Lv
Keyword(s):  
Power Plant ◽  
Project Scheduling ◽  
Electrical Equipment ◽  
Equipment Maintenance ◽  
Scheduling Theory ◽  
Maintenance Period ◽  
Project Duration ◽  
Project Scheduling Problem ◽  
Critical Chain Project Management ◽  
Critical Chain

The critical chain project management theory(CCPM) combining the critical chain technology and resource-constrained project scheduling problem (RCPSP) is an important innovation of project control methods, and it’s widely used to optimize the project duration recently. In this paper the theory presented is applied to the maintenance period arrangements of power plant electrical equipment, and a mathematical model of optimizing the maintenance period is established. Then an improved heuristic algorithm is designed and used to establish equipment maintenance precedence network. On this basis, a new identification method of maintenance network based on critical chain is proposed. Finally, it’s verified with a numerical example that the method proposed can effectively shorten the maintenance period of power plant electrical equipment.

Predicting Penetration of the Project Buffer Time of Critical Chain Project Management (CCPM) Using a Linear Programming Approach

2020 ◽  
Vol 9 (2) ◽  
pp. 143-151
Author(s):  
Milind Jagtap
Keyword(s):  
Linear Programming ◽  
Project Management ◽  
Resource Constraints ◽  
Programming Model ◽  
Botanical Garden ◽  
Programming Approach ◽  
Project Schedule ◽  
Buffer Time ◽  
Critical Chain Project Management ◽  
Critical Chain

Managing the disruptions in projects is a challenging task for project managers. In this respect, critical chain project management (CCPM) has been considered as a promising methodology in expediting projects. However, the effectiveness of this methodology is often lost in search of optimal use of project buffers to hedge against delays occurring in the critical chain. The more critical chain activity gets delayed, the greater is the likelihood of penetration of project buffer time. The resource constraints of critical chains have been considered as a major determinant of project buffer penetration. Although a project buffer is provided to protect the critical chain, to keep the CCPM project schedule competitive, it is the priority of the project manager to minimize the blatant consumption of project buffer time by multiple critical chain activities. Historically, resource constraints within the critical chain have been associated with penetration of project buffer time. The literature suggests that the productivity of resources deployed in the critical chain can predict the penetration of project buffer time. Based on the premise that delays are omnipresent and unavoidable but predictable, this research aims to consider the post-facto measures of delays instead of pre-facto measures. Pre-facto measures are resources productivity and resources availability while post-facto measures are the compensation paid by the client and the cost of liquidity damages incurred by the contractor. It is assumed that pre-facto measures are convertible into post-facto measures. A linear programming model is formulated and tested using the case of Botanical Garden Construction Project in Pune city. Sensitivity analysis revealed that the propensity of project buffer penetration on a critical chain varies with the compensation matrix. Varieties of scenario are developed and the optimal solution is validated with the case study.

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