DSS for multiobjective project scheduling

Slowinski, R., Soniewicki, B., & Weglarz, J. (1994). DSS for multiobjective project scheduling. European Journal of Operational Research 79 (2) 220-229. 10.1016/0377-2217(94)90353-0.

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Abstract

The paper presents a decision support system (DSS) for multiobjective project scheduling under multiple-category resource constraints. It handles quite a general class of nonpreemptive scheduling problems with renewable, nonrenewable and doubly-constrained resources, multiple performing modes of activities, precedence constraints in the form of an activity network and multiple project performance criteria of time and cost type. The DSS is based on three kinds of heuristics: parallel priority rules, simulated annealing and branch-and-bound. The last algorithm can even yield exact solutions when sufficient processing time is available. Some parts of the system are interactive, in particular, the search for the best compromise schedule. Graphical facilities enable a thorough evaluation of feasible schedules. Methodological foundations of the system and the algorithms used in the calculation phase are first explained. Then, a functional description of the system is made. The last part presents results of three test problems, in particular, an agricultural problem including 30 activities, multiple objectives and multiple-category resources.

Item Type:	Article
Uncontrolled Keywords:	Decision support systems; Project scheduling; Multiple objectives; Interactive method; Simulated annealing; Agricultural project
Research Programs:	Methodology of Decision Analysis (MDA)
Bibliographic Reference:	European Journal of Operational Research; 79:220-229 [1994]
Depositing User:	IIASA Import
Date Deposited:	15 Jan 2016 02:03
Last Modified:	27 Aug 2021 17:35
URI:	https://pure.iiasa.ac.at/3873

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