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Sequencing and Scheduling: An Introduction to the Mathematics of the Job-Shop

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TLDR
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.

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Journal ArticleDOI

Parallel GRASP with path-relinking for job shop scheduling

TL;DR: Computational experience on a large set of standard test problems indicates that the parallel GRASP with path-relinking finds good-quality approximate solutions of the JSP.
Patent

Method of generating instruction sequences for controlling data flow processes

TL;DR: In this article, a set of "tasks" are defined for changing the states of multiple-state resources and causing software resources to produce output data, and a sequence of tasks are produced to control the systems so as to assure valid data collection and protect physical resources from abuse.
Journal ArticleDOI

A tabu search method guided by shifting bottleneck for the job shop scheduling problem

TL;DR: The proposed local search method is based on a tabu search technique and on the shifting bottleneck procedure used to generate the initial solution and to refine the next-current solutions.
Journal ArticleDOI

Job-Shop Scheduling Theory: What Is Relevant?

TL;DR: A preliminary field study is used to illustrate that the basic theoretical approach to scheduling does not represent the reality of open job-shop scheduling, and its applicability is limited to those situations that are fundamentally static and behave like the models.
Journal ArticleDOI

Scheduling with timed automata

TL;DR: It is shown how efficient shortest path algorithms for timed automata can find optimal schedules for the classical job-shop problem and are extended to synthesize adaptive scheduling strategies for problems with uncertainty in task durations.