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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

Optimal scheduling for flexible job shop operation

TL;DR: In this article, a new integer linear programming (ILP) model is proposed to schedule flexible job shop, discrete parts manufacturing industries that operate on a make-to-order basis.
Journal ArticleDOI

An Improved Formulation for the Job-Shop Scheduling Problem

TL;DR: An extension of an earlier integer programming model developed by other authors to formulate a general n-job, m-machine job-shop problem involves substantially fewer functional constraints at the expense of an increase in the number of upper bound variables.
Journal ArticleDOI

Dynamic job-shop scheduling with sequence-dependent setup times: simulation modeling and analysis

TL;DR: The results indicate that setup-oriented rules provide better performance than ordinary rules and the difference in performance increases with the increase in shop load and setup time ratio.
Proceedings Article

Multiagent coordination in tightly coupled task scheduling

TL;DR: An approach that consists of a standard operating procedure and a look-ahead coordination to prune decision myopia while maintaining system responsiveness in real-time, dynamic environments is presented.
Journal ArticleDOI

Performance comparison and analysis of reactive and planning-based control architectures for manufacturing

TL;DR: In this paper, an objective comparison of two architectures, each required to control the same manufacturing cell, is presented to gain insight into the behaviour of alternative control architectures that will ultimately be used to determine the best control architecture for a given manufacturing system.