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Journal ArticleDOI

Dispatching rules for scheduling in assembly jobshops - Part 2

Marath K. Reeja, +1 more
- 01 Jul 2000 - 
- Vol. 38, Iss: 10, pp 2349-2360
TLDR
A new definition of 'operation due date' in the context of assembly jobs is presented and used in the development of dispatching rules and it is indicated that the proposed rules perform better than the existing rules.
Abstract
In this part of the paper, we present the development and evaluation of dispatching rules for scheduling in jobshops manufacturing multi-level assembly jobs with the performance measures reated to tardiness. We present a new definition of 'operation due date' in the context of assembly jobs and use it in the development of dispatching rules. A simulation study is carried out to evaluate the performances of the existing and the proposed dispatching rules with respect to different measures of tardiness. We also measure their performances with respect to different measures of flowtime and staging delays. The results of the study indicate that the proposed rules perform better than the existing rules.

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Citations
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Journal ArticleDOI

Scheduling in resource-constrained multiple projects to minimise the weighted tardiness and weighted earliness of projects

TL;DR: The current study addresses the problem of scheduling resource-constrained multiple projects with the consideration of projects having different relative earliness and relative tardiness costs, and presents scheduling rules presented in order to minimise the weighted tardness of projects.
Proceedings ArticleDOI

A bilevel programming approach to assembly job shop scheduling

TL;DR: In this paper, a bilevel programming approach for assembly job shop scheduling is proposed, where two levels of decision makers are identified in the model: the project manager and the shop floor manager.
Journal ArticleDOI

A learning interactive genetic algorithm based on edge selection encoding for assembly job shop scheduling problem

TL;DR: In the LIGA-ESE, a novel ESE based on virtual components for producing every feasible solution generated with acceptable probability is proposed to improve the convergence efficiency and competition and learning interactive mechanisms.
Journal Article

A Genetic Algorithm with a New Repair Process for Solving Multi-stage, Multi-machine, Multi-product Scheduling Problems

TL;DR: In this article, a GA has been developed that includes a new repair process that rectifies infeasible schedules that are produced during the evolution process, which minimizes the combination of earliness and tardiness penalties and takes into account finite capacity constraints.
Journal ArticleDOI

Integrated scheduling and self-reconfiguration for assembly job shop in knowledgeable manufacturing

TL;DR: In this article, the problem of integrated assembly job shop (AJS) scheduling and self-reconfiguration in knowledgeable manufacturing is studied with the objective of minimizing the weighted sum of completion cost of products, the earliness penalty of operations and the training cost of workers.
References
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Journal Article

The Design and Analysis of Experiments

TL;DR: This book by a teacher of statistics (as well as a consultant for "experimenters") is a comprehensive study of the philosophical background for the statistical design of experiment.
Journal ArticleDOI

A preliminary investigation of multi-attribute based sequencing rules for assembly shops

TL;DR: In this article, a new set of sequencing rules, called importance ratio (IR), is proposed and the operation of a hypothetical assembly shop is simulated to test the performance of eight sequencing rules on three distinct sets of product structures.
Journal ArticleDOI

An evaluation of sequencing rules for an assembly shop

TL;DR: 11 sequencing rules (some of which are common to simple job shops and some decigned specifically for assembly shops) are evaluated using a simulation analysis of a hypothetical assembly shop using an ANOVA procedure.
Journal ArticleDOI

Priority assignment procedures in multi-level assembly job shops

TL;DR: In this article, the structural complexity of jobs can be incorporated explicitly into priority rules to reduce job lead times and the combined rule results in the improvement of the lead time performance, and experimental results provide a comparative perspective on the performance of priority rules that have been examined in the earlier research literature.
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