Proceedings of the 2014 International Conference on Management Science and Management Innovation

A Stochastic Time-cost-quality Tradeoff Model for Discrete Project Scheduling Problem

Authors
Wei-Min Ma, Qing-Hai Liu, Hua Ke
Corresponding Author
Wei-Min Ma
Available Online June 2014.
DOI
https://doi.org/10.2991/msmi-14.2014.58How to use a DOI?
Keywords
Project scheduling problem, Time-cost-quality tradeoff, Genetic algorithm.
Abstract
In this paper, referred to the traditional discrete time-cost tradeoff problem, time-cost-quality balance combined with random environment is discussed. Moreover, in real projects, the uncertainty of the environment is considerable aspects for decision-makers. The goal of this paper is to reveal how to obtain the optimal balance among project completion time, total cost and overall quality in stochastic environments. A stochastic discrete time-cost-quality tradeoff model is presented for dealing with this problem. To solve the model, a hybrid intelligent algorithm integrating the stochastic simulations and genetic algorithm is developed. At the last part, a numerical experiment is conducted to testify the effectiveness of the hybrid intelligent algorithm.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
2014 International Conference on Management Science and Management Innovation (MSMI 2014)
Part of series
Advances in Economics, Business and Management Research
Publication Date
June 2014
ISBN
978-94-6252-015-8
ISSN
2352-5428
DOI
https://doi.org/10.2991/msmi-14.2014.58How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Wei-Min Ma
AU  - Qing-Hai Liu
AU  - Hua Ke
PY  - 2014/06
DA  - 2014/06
TI  - A Stochastic Time-cost-quality Tradeoff Model for Discrete Project Scheduling Problem
BT  - 2014 International Conference on Management Science and Management Innovation (MSMI 2014)
PB  - Atlantis Press
SP  - 318
EP  - 323
SN  - 2352-5428
UR  - https://doi.org/10.2991/msmi-14.2014.58
DO  - https://doi.org/10.2991/msmi-14.2014.58
ID  - Ma2014/06
ER  -