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Journal ArticleDOI

A two-stage approach for the critical chain project rescheduling

TLDR
Simulation results show that, it is an effective approach to generate reliable rescheduling schemes in most projects with excellent performances, i.e. the average project length, timely project completion probability and etc.
Abstract
The fundamental principle of critical chain project management is to use the critical chain instead of a traditional critical path, to insert a project buffer at the end of the project and to insert feeding buffers wherever non-critical chains join the critical chain to protect a timely project completion. Due to the complexity of project, inserting feeding buffers may cause a conflict, such as precedence conflict or resource conflict, which can be solved by rescheduling. However, after rescheduling some new problems may arise: non-critical chain may start earlier than critical chain (non-critical chain overflow), or a gap may occur between activities on the critical chain (critical chain break-down). This paper is aiming to solve these new problems by a two-stage approach combined with feeding buffer for rescheduling. In the first stage, a first-stage rescheduling based on priority rules together with a backward-recursive procedure is proposed for rescheduling to solve resource and precedence conflicts, resulting in a critical chain break-down or a non-critical chain overflow. In the second stage, a second-stage rescheduling based on a heuristic algorithm is proposed to eliminate new problems and generate a better rescheduling scheme. Finally, we do simulations on the 110 Patterson instances set to verify the feasibility, effectiveness and applicability of our two-stage approach for rescheduling. Simulation results show that, it is an effective approach to generate reliable rescheduling schemes in most projects with excellent performances, i.e. the average project length, timely project completion probability and etc.

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Journal ArticleDOI

Understanding artificial intelligence adoption in operations management: insights from the review of academic literature and social media discussions

TL;DR: This study explores the feasibility of AI utilization within an organization on six factors such as job-fit, complexity, long-term consequences, affect towards use, social factors and facilitating conditions for different elements of OM by mining the collective intelligence of experts on Twitter and through academic literature.
Journal ArticleDOI

A soft computing approach based on critical chain for project planning and control in real-world applications with interval data

TL;DR: A new soft computing framework that incorporates decision making aboutRCPSP parameters, RCPSP modeling, adding project and activities buffer, and monitoring the project is presented and introduces a comprehensive framework that gives project managers a better vision.
Journal ArticleDOI

Buffer sizing in critical chain project management by network decomposition

TL;DR: This work proposes a new procedure for buffer sizing based on network decomposition, which offers logical advantages over previous ones and delivers much greater accuracy in estimating project makespan, and smaller feeding buffers.
Journal ArticleDOI

Controlling the schedule risk in green building projects: Buffer management framework with activity dependence

TL;DR: An improved buffer management approach to dynamically control the schedule risk in green building (GB) projects is proposed and shows that the suggested approach has better performance on control effort, and almost the same performance on completion.
Journal ArticleDOI

Project buffer sizing and dynamic buffer consumption algorithm in power generation construction

TL;DR: A buffer sizing and buffer controlling algorithm (BSCA) as a heuristic algorithm for calculating project buffer and feeding buffers as well as dynamic controlling of buffer consumption in different phases of a wind power plant project in order to achieve a more realistic project duration.
References
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Journal ArticleDOI

A branch-and-bound procedure for the multiple resource-constrained project scheduling problem

TL;DR: Problems requiring large amounts of computer time using existing approaches for solving this problem type are rapidly solved with the procedure using the dominance rules described, resulting in a significant reduction in the variability in solution times.
Journal ArticleDOI

A Comparison of Exact Approaches for Solving the Multiple Constrained Resource, Project Scheduling Problem

TL;DR: A recurring problem in managing project activity involves the allocation of scarce resources to the individual activities comprising the project Resource conflict resolution decisions must be made whenever the concurrent demand for resources by the competing activities of a project exceeds resource availability.
Journal ArticleDOI

On the merits and pitfalls of critical chain scheduling

TL;DR: It appears that the 50% rule for buffer sizing may lead to a serious overestimation of the required buffer protection, and regularly updating the baseline schedule and the critical chain provides the best intermediate estimates of the final project duration and yields the smallestfinal project duration.
Book

Project Management in the Fast Lane: Applying the Theory of Constraints

TL;DR: In this article, the goal throughput of a project is defined as the total amount of work completed by all the components of the critical chain of the project, including critical but stable critical components.
Book

Critical Chain Project Management

TL;DR: In this article, the authors describe the synthesis of Six Sigma, TOC, Lean, and PMBOK from the Theory of Constraints to Project Management, and the development of the (single-project) Critical Chain Plan.
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