One-machine job-scheduling with non-constant capacity — Minimizing weighted completion times
✍ Scribed by H.F. Amaddeo; W.M. Nawijn; A. van Harten
- Publisher
- Elsevier Science
- Year
- 1997
- Tongue
- English
- Weight
- 720 KB
- Volume
- 102
- Category
- Article
- ISSN
- 0377-2217
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✦ Synopsis
In this paper an n-job one-machine scheduling problem is considered, in which the machine capacity is time-dependent and jobs are characterized by their work content. The objective is to minimize the sum of weighted completion times. A necessary optimality condition is presented and we discuss some special cases where this condition is also sufficient. We prove that the problem is NP-complete, A branch-and-bound algorithm is developed for the case when the capacity function is a step function. Computational results for 1000 test problems are presented. (~) 1997 Elsevier Science B.V.
📜 SIMILAR VOLUMES
The problem of maximizing the weighted number of on-time jobs on a single machine with time windows (STW) is shown to be strongly NP-hard. An efficient. heuristic is presented for STW. Computational experiments indicate that the performance of the heuristic is quite good.
AbstractÐWe consider the problem of scheduling n identical jobs with unequal ready times on m parallel uniform machines to minimize the maximum lateness. This paper develops a branch-and-bound procedure that optimally solves the problem and introduces six simple single-pass heuristic procedures that