An Optimization Method for Critical Chain Scheduling Toward Project Greenality

2012 ◽  
Vol 6 (3) ◽  
pp. 331-337 ◽  
Author(s):  
Daisuke Morita ◽  
◽  
Haruhiko Suwa
Keyword(s):  
Project Scheduling ◽  
Computational Simulation ◽  
Green Manufacturing ◽  
Optimization Method ◽  
Use Of Resources ◽  
Scheduling Method ◽  
Environmental Requirements ◽  
Critical Chain ◽  
Practice Projects

The concept of green manufacturing has influenced many projects and their progress in manufacturing. In practice, projects in manufacturing should be monitored and controlled from the viewpoint ofgreenality, which is the degree to which a project or an organization has taken into account the sustainability and environmental requirements that influence the target project during its execution. This paper deals critical chain project scheduling, which addresses greenality to encourage the efficient use of resources required for the project. Results of computational simulation demonstrate the applicability and effectiveness of the proposed scheduling method.

The Review of Project Management Based on the Theory of Constraints and Critical Chain

2012 ◽  
Vol 174-177 ◽  
pp. 3424-3430
Author(s):  
Zhao Zhang ◽  
Bing Guo ◽  
Gui Xiang Chen ◽  
Jiu Le Song
Keyword(s):  
Project Scheduling ◽  
Research Direction ◽  
Theory Of Constraints ◽  
Ongoing Research ◽  
Resource Limitations ◽  
Scheduling Method ◽  
Research Findings ◽  
Time Buffer ◽  
Scheduling Management ◽  
Critical Chain

Abstract. The relationship between precedence and successor activities is the only factor that determined the project scheduling in the traditional project scheduling management. The critical chain-an elegant solution, on the other hand, takes resource limitations into account and is composed of sections that are dependent on successor relationships and other sections that are dependent on resource constraint. By integrating the existing research findings, it is the objective of this paper to highlight the merits and pitfalls of the CCPM scheduling method, such as the principle for project delays, the critical chain identification; the time buffer setting and project scheduling with limited capacity of a resource. Furthermore, it also presidents the difficulties when implementing the critical chain approach and conclude with a description of our ongoing research direction.

scholarly journals Critical Chain Project Scheduling: Do Not Oversimplify

2002 ◽  
Vol 33 (4) ◽  
pp. 48-60 ◽  
Author(s):  
Willy Herroelen ◽  
Roel Leus ◽  
Erik Demeulemeester
Keyword(s):  
Project Management ◽  
Project Scheduling ◽  
Critical Review ◽  
Buffer Management ◽  
Direct Application ◽  
Theory Of Constraints ◽  
Management Literature ◽  
Critical Chain

Critical chain scheduling/Buffer management (CCS/BM)—the direct application of the theory of constraints (TOC) to project management—has received much attention in project management literature. There still is controversy over the merits and pitfalls of the CCS/BM methodology. This paper focuses on the fundamental elements of CCS/BM logic and pinpoints some intricacies that are not commonly referred to in the available literature. The authors’ analysis is based on a critical review of the relevant sources and experimentation with both commercial CCS/BM software and an internally developed CCS/BM-based tool.

Multi-objective integrated scheduling optimization of semi-combined marine crankshaft structure production workshop for green manufacturing

2020 ◽  
pp. 014233122094591 ◽  
Author(s):  
Haochen Li ◽  
Jianguo Duan ◽  
Qinglei Zhang
Keyword(s):  
Mathematical Model ◽  
Completion Time ◽  
Job Scheduling ◽  
Job Shop ◽  
Resource Constraints ◽  
Job Shop Scheduling ◽  
Green Manufacturing ◽  
Optimization Method ◽  
Nsga Ii ◽  
Shipbuilding Industry

In order to realize green manufacturing in the production process of semi-combined marine crankshaft structural parts, good job scheduling and reasonable workshop layout are the key. In traditional method, flexible job shop scheduling problem (FJSP) and the multi-row workshop layout problem (MRWLP) are regarded as separate tasks. However, the separate optimization method ignores the interaction between FJSP and MRWLP. Because the process sequencing of FJSP affects the layout results of processing machines, while the layout scheme of MRWLP affects the scheduling completion time through the transportation between processes. Therefore, it is very important to establish an integrated mathematical model for optimization of both layout and scheduling simultaneously to explore the common influence of the two resource constraints on scheduling results. At the same time, the transportation task is also a manufacturing process that cannot be ignored, which affects the completion time and energy consumption of the workshop, especially the heavy industrial manufacturing workshop with crane as transportation equipment. According to the established model, a five-segment coding including transportation information, layout information and processing information is designed, and two heuristic selection strategies are integrated into non-dominated sorting genetic algorithm II (NSGA-II) to optimize the iterative results twice. Finally, the effectiveness of the integrated mathematical model is verified by an example, which provides guidance for green manufacturing in the shipbuilding industry.

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