Resilience analysis for project scheduling with renewable resource constraint and uncertain activity durations

Jian  Xiong; Yingwu  Chen; Zhongbao  Zhou

doi:10.3934/jimo.2016.12.719

Article Contents

2016, Volume 12, Issue 2: 719-737. Doi: 10.3934/jimo.2016.12.719

This issue Previous Article A tabu search algorithm to minimize total weighted tardiness for the job shop scheduling problem Next Article A polynomial-time interior-point method for circular cone programming based on kernel functions

Resilience analysis for project scheduling with renewable resource constraint and uncertain activity durations

1.
College of Information System and Management, National University of Defense Technology, Changsha, 410073, Hunan
2.
Business School, Hunan University, Changsha, 410082, Hunan

Received: May 2013

Revised: April 2015

Published: April 2016

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Abstract

In the real world, project construction usually suffers various uncertain factors. Traditionally, uncertainty is modelled as either random variables or dynamic events. This paper addresses the case that the information about uncertainty is partially known when developing project schedules. The concept of resilience is introduced into project scheduling problems with resource constraint to measure a schedule's ability to absorb possible perturbation. The definition of resilience is given based on project equilibriums. Since the calculation of resilience is time intensive, a new surrogate measure is proposed to indicate schedule resilience. Correlation analysis between resilience and proposed surrogate measure is carried out. The experimental results suggest that the proposed surrogate measure is more appropriate to indicate resilience than makespan or total free slack.

Keywords:

Resource-constrained project scheduling,
uncertain activity duration,
resilience analysis,
surrogate measure.

Mathematics Subject Classification: Primary: 90B50; Secondary: 68M20.

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