A disassembly line balancing problem with fixed number of workstations

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Date

2016

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Journal ISSN

Volume Title

Publisher

Elsevier

Open Access Color

Green Open Access

Yes

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No
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Top 10%
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Top 10%
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Abstract

In this study a Disassembly Line Balancing Problem with a fixed number of workstations is considered. The product to be disassembled comprises various components which are referred to as its parts. There is a specified finite supply of the product to be disassembled and specified minimum release quantities (possible zero) for each part of the product. All units of the product are identical however different parts can be released from different units of the product. There is a finite number of identical workstations that perform the necessary disassembly operations referred to as tasks. We present several upper and lower bounding procedures that assign the tasks to the workstations so as to maximize the total net revenue. The computational study has revealed that the procedures produce satisfactory results. © 2016 Elsevier B.V. All rights reserved.

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Keywords

Disassembly Lines, Heuristics, Integer Programming, Linear Programming Relaxation, Linear Programming, Bounding Procedures, Computational Studies, Disassembly Line, Disassembly Line Balancing, Disassembly Operations, Finite Number, Heuristics, Linear Programming Relaxation, Integer Programming, Linear programming, Bounding procedures, Computational studies, Disassembly line, Disassembly line balancing, Disassembly operations, Finite number, Heuristics, Linear programming relaxation, Integer programming, Disassembly Lines, Linear Programming Relaxation, Heuristics, Integer Programming, disassembly lines, Integer programming, heuristics, linear programming relaxation, Production models, Approximation methods and heuristics in mathematical programming, integer programming

Fields of Science

0209 industrial biotechnology, 0211 other engineering and technologies, 02 engineering and technology

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OpenCitations Citation Count
59

Source

European Journal of Operational Research

Volume

249

Issue

2

Start Page

592

End Page

604
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Citations

CrossRef : 9

Scopus : 63

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Mendeley Readers : 53

SCOPUS™ Citations

63

checked on Apr 09, 2026

Web of Science™ Citations

56

checked on Apr 09, 2026

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7.4769

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