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The main objective of this paper is to stimulate interest in stability analysis for scheduling problems. In spite of impressive theoretical results in sequencing and scheduling, up to now the implementation of scheduling algorithms with a rather deep mathematical background in production...
Persistent link: https://www.econbiz.de/10010731643
This paper is devoted to the calculation of the stability radius of an optimal schedule for a job shop problem, when the objective is to minimize mean or maximum flow times. The approach used may be regarded as an a posteriori analysis, in which an optimal schedule has already been constructed...
Persistent link: https://www.econbiz.de/10005336354
Persistent link: https://www.econbiz.de/10005257120
Persistent link: https://www.econbiz.de/10009281533
The main objective of this paper is to stimulate interest in stability analysis for scheduling problems. In spite of impressive theoretical results in sequencing and scheduling, up to now the implementation of scheduling algorithms with a rather deep mathematical background in production...
Persistent link: https://www.econbiz.de/10008584745
In this paper, we consider a parallel machine environment when all jobs have the same processing time and arbitrary release dates and deadlines of the jobs are given. We suppose that the available number of machines, which can be used simultaneously, may vary over time. The aim is to construct a...
Persistent link: https://www.econbiz.de/10004973581
The paper surveys the complexity results for job shop, flow shop, open shop and mixed shop scheduling problems when the number n of jobs is fixed while the number r of operations per job is not restricted. In such cases, the asymptotical complexity of scheduling algorithms depends on the number...
Persistent link: https://www.econbiz.de/10010847871
Persistent link: https://www.econbiz.de/10010950009
The paper surveys the complexity results for job shop, flow shop, open shop and mixed shop scheduling problems when the number n of jobs is fixed while the number r of operations per job is not restricted. In such cases, the asymptotical complexity of scheduling algorithms depends on the number...
Persistent link: https://www.econbiz.de/10010950258
This note emends an incorrectness in the NP-hardness proof of problem 1|NR,dj=d,gj=g|∑Tj given in a paper by Gafarov et al. in Mathematical Social Sciences (see vol. 62, 2011, 7–13).
Persistent link: https://www.econbiz.de/10011065142