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Sequencing and Scheduling: An Introduction to the Mathematics of the Job-Shop
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In this article, an introduction to the mathematics of the job shop is presented, with a focus on the sequential and scheduling aspects of the system. But this approach is not suitable for all job-shop scenarios.Abstract:
(1982). Sequencing and Scheduling: An Introduction to the Mathematics of the Job-Shop. Journal of the Operational Research Society: Vol. 33, No. 9, pp. 862-862.read more
Citations
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Journal ArticleDOI
Holonic Modeling in Scheduling Process
TL;DR: The aim of new approach is to establish a possible solution space for all variants of schedule by turning the holonic property the „part” and „hole” of an informational entity's into an emergency property of informational flow.
Net Present Value of Cash Flows in Single Machine and Flow Shop Scheduling Problems
TL;DR: The net preset value criterion is studied taking account of linear time-dependent cash flows in single machine and flow shop scheduling problems, and a heuristic method is presented for the single machine scheduling problem with NPV criterion.
DissertationDOI
Métodos heurísticos para a programação em flow shop permutacional com tempos de setup separados dos tempos de processamento e independentes da seqüência de tarefas
TL;DR: This work addresses the Permutation Flow Shop scheduling problem with separated, nonbatch, and sequence-independent setup times with the objective of minimizing the total time to complete the schedule (Makespan).
Architecturalsupport for the orchestrationof fine-grained multiprocessingfor portable streamingapplications
TL;DR: This work proposes an efficient Accelerator Management Unit (AMU), implemented in hardware, that enables low-overhead dynamic scheduling and produces a significant performance advantage over static scheduling.
Book ChapterDOI
A novel chamber scheduling method in etching tools using adaptive neural networks
Hua Xu,Peifa Jia,Xuegong Zhang +2 more
TL;DR: Feed forward, multi-layered neural network meta-models were trained through the back-error-propagation (BEP) learning algorithm to provide a versatile job-shop scheduling analysis framework and an adaptive selection mechanism has been extended into ANN.