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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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Job shop scheduling by local search

TL;DR: In this paper, the authors present a computational performance analysis of local search algorithms for job shop scheduling, including iterative improvement, simulated annealing, threshold accepting and genetic local search.
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Adjustment of heads and tails for the job-shop problem

TL;DR: A new lower bound and a new branching scheme which are used to design a branch and bound method are described and Computational results show that these techniques permit to drastically reduce the size of the search trees.
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Recent developments in evolutionary computation for manufacturing optimization: problems, solutions, and comparisons

TL;DR: This paper examines recent developments in the field of evolutionary computation for manufacturing optimization with a wide range of problems, from job shop and flow shop scheduling, to process planning and assembly line balancing.
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Analysis of periodic and event-driven rescheduling policies in dynamic shops

TL;DR: In this paper, the authors address the problem of rescheduling production systems in the face of dynamic job arrivals using simple single-and parallel-machine models to gain insight, and provide worst-case and computational analyses of periodic and event-driven scheduling policies.
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Three Scheduling Algorithms Applied to the Earth Observing Systems Domain

TL;DR: A fast and simple priority dispatch method is described and shown to produce acceptable schedules most of the time and a look ahead algorithm is introduced that outperforms the dispatcher by about 12% with only a small increase in run time.