Parallel Machine Scheduling With Tool Loading

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Date

2016

Authors

Özpeynirci, Selin
Gokgur, Burak

Journal Title

Journal ISSN

Volume Title

Publisher

Elsevier Science Inc

Open Access Color

HYBRID

Green Open Access

Yes

OpenAIRE Downloads

1

OpenAIRE Views

3

Publicly Funded

No
Impulse
Top 10%
Influence
Top 10%
Popularity
Top 10%

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Journal Issue

Abstract

This paper presents a mixed integer programming approach that integrates the tool assignment and scheduling problems arising in parallel machine environments. There are a number of operations to be processed on parallel machines. Each operation requires a set of tools; however, the number of available tools are limited. Our objective is to minimize the makespan, i.e. the completion time of the final operation. We propose two different mathematical programming models for this problem. Since the problem is strongly NP hard in general, finding the optimal solution requires extremely long computational times as the problem size increases. We therefore develop a tabu search algorithm in order to find near-optimal solutions within reasonable times. (C) 2016 Elsevier Inc. All rights reserved.

Description

Keywords

Parallel machines, Scheduling, Tool assignment, Mixed integer programming, Tabu search, Flexible Manufacturing Systems, Due-Date, Models, Formulations, Deterministic scheduling theory in operations research, Mixed integer programming, parallel machines, tool assignment, tabu search, scheduling, mixed integer programming

Fields of Science

0211 other engineering and technologies, 02 engineering and technology

Citation

WoS Q

Q1

Scopus Q

Q1
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OpenCitations Citation Count
35

Source

Applıed Mathematıcal Modellıng

Volume

40

Issue

9.Eki

Start Page

5660

End Page

5671
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Citations

CrossRef : 10

Scopus : 41

Captures

Mendeley Readers : 40

SCOPUS™ Citations

41

checked on Mar 20, 2026

Web of Science™ Citations

37

checked on Mar 20, 2026

Page Views

6

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Downloads

13

checked on Mar 20, 2026

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5.5025

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