1982
DOI: 10.1287/mnsc.28.10.1197
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Resource-Constrained Project Scheduling with Time-Resource Tradeoffs: The Nonpreemptive Case

Abstract: This paper introduces methods for formulating and solving a general class of nonpreemptive resource-constrained project scheduling problems in which the duration of each job is a function of the resources committed to it. The approach is broad enough to permit the evaluation of numerous time or resource-based objective functions, while simultaneously taking into account a variety of constraint types. Typical of the objective functions permitted are minimize project duration, minimize project cost given perform… Show more

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Cited by 379 publications
(171 citation statements)
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“…The problem at hand is the multi-mode resource-constrained project scheduling problem (MMRCPSP) which is commonly considered with makespan minimization as objective too (cf. [22,23,28,29,31,34]). …”
Section: Introductionmentioning
confidence: 99%
“…The problem at hand is the multi-mode resource-constrained project scheduling problem (MMRCPSP) which is commonly considered with makespan minimization as objective too (cf. [22,23,28,29,31,34]). …”
Section: Introductionmentioning
confidence: 99%
“…The lit- erature on (especially project) scheduling has already looked into various multi-mode problems including time-cost trade-offs (De et al 1995) and time-resource trade-offs (De Reyck and Demeulemeester 1998). The standard multi-mode problem is a generalization that, in addition to the time-cost and time-resource trade-offs, also covers resource-resource trade-offs and the use of multiple types of renewable and nonrenewable resources (Talbot 1982). To the best of our knowledge, however, multiple modes corresponding to multiple selections of (sub-)activities contained in the original activity (in our case: the module) have not yet been described in earlier work.…”
Section: Discussionmentioning
confidence: 99%
“…A DT formulation adapted to the MMRCPSP was given by Talbot [271]. It associates for each task i (i = 0, .…”
Section: Chapter 7 Mathematical Models and Decomposition Algorithms mentioning
confidence: 99%