Heuristics for Solving Flow Shop Scheduling Problem Under Resources Constraints

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Date

2016

Journal Title

Journal ISSN

Volume Title

Publisher

Elsevier Science Bv

Open Access Color

GOLD

Green Open Access

No

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Top 10%

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Abstract

Most of traditional scheduling problems deal with machine as the only resource however, other resources such as raw materials is often disregards. Considering the second resource makes scheduling problems more realistic and practical to implement in manufacturing industries. Due to the applicability of flow shop environment in different manufacturing, scheduling of these types of shops are extensively studied by several authors. However, introducing an additional resource in this environment is not well studied. The present work deals with makespan minimization in flow shop scheduling problems where no renewable resources constraints are considered. The paper illustrates the importance of Johnson (1954) algorithm for the two machine flow shop tinder resources constraints. A mathematical model is also presented. Then a well-know heuristic is adapted to propose fast solution for the m machines flow shop problem subject to resource constraint. (C) 2016, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

Description

8th IFAC Conference on Manufacturing Modelling, Management and Control (MIM) -- JUN 28-30, 2016 -- Troyes, FRANCE

Keywords

Scheduling, flow shop, heuristics, no renewable resource, makespatt, Financial Constraints, Sequencing Problem, [INFO.INFO-RO]Computer Science [cs]/Operations Research [cs.RO], [INFO.INFO-RO] Computer Science [cs]/Operations Research [math.OC]

Fields of Science

0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Citation

WoS Q

Scopus Q

Q3
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OpenCitations Citation Count
11

Source

Ifac Papersonlıne

Volume

49

Issue

12

Start Page

1478

End Page

1483
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Scopus : 16

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Mendeley Readers : 26

SCOPUS™ Citations

16

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13

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12

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0.4178

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