Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Advancement of Computing Methodology, Data Analysis, Enterprise Operation Management and Decision Support System Based on the Eleventh ICMSEM Proceedings Read chapter Read first chapter

2018 | OriginalPaper | Chapter

A Genetic Algorithm Approach for Loading Cells with Flow Shop Configuration

Authors : Patrick Gannon, Gürsel A. Süer

Published in: Proceedings of the Eleventh International Conference on Management Science and Engineering Management

Publisher: Springer International Publishing

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

This paper proposes a three-phase methodology for worker allocation and flowshop scheduling in a multistage manufacturing environment. A case study using a shoe manufacturing plant is examined. The proposed methodology consists of genetic algorithm and mathematical models. Phase 1 allocates workers in between operations in two separate stages in the manufacturing process. Phase 1 evaluates how workers are allocated between and within the manufacturing stages. Phase 2 uses worker allocations from phase 1 to perform cell loading based on machine-level-based similarity using genetic algorithms. Four different Genetic Algorithm approaches are proposed and evaluated. Furthermore, the impact of different manpower levels are also studied. Phase 3 schedules products within cells to optimize makespan, total tardiness, or number of tardy jobs.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
previous chapter The Study on Factors Affecting the Attraction of Microblog – An Empirical Study Based on Sina Microblogging Site
next chapter Research on the Competitive Strategy of Two Sided Platform Enterprises Based on Hotelling Model
Literature
1.
Akturk MS, Wilson GR (1998) A hierarchical model for the cell loading problem of cellular manufacturing systems. Int J Prod Res 36(7):2005–2023CrossRefMATH
2.
Babayiǧit C (2003) Genetic algorithms and mathematical models in manpower allocation and cell loading problem [electronic resource]. Master’s thesis, Ohio University
3.
Chang OK, Shin HJ (2003) Scheduling jobs on parallel machines: a restricted tabu search approach. Int J Adv Manuf Technol 22(3):278–287
4.
Gupta JND, Chantaravarapan S (2008) Single machine group scheduling with family setups to minimize total tardiness. Int J Prod Res 46(6):1707–1722CrossRefMATH
5.
Gupta JND, Ho JC (2001) Minimizing makespan subject to minimum flowtime on two identical parallel machines. Comput Oper Res 28(7):705–717MathSciNetCrossRefMATH
6.
Huang J, Süer GA, Urs SBR (2012) Genetic algorithm for rotary machine scheduling with dependent processing times. J Intell Manuf 23(5):1931–1948CrossRef
7.
Mese E (2009) Cell loading and family scheduling for jobs in a shoe manufacturing company. Master’s thesis, Ohio University
8.
Nakamura N, Yoshida T, Hitomi K (1978) Group production scheduling for minimum total tardiness part (i). IIE Trans 10(2):157–162
9.
Saad SM, Baykasoglu A, Gindy NNZ (2002) A new integrated system for loading and scheduling in cellular manufacturing. Int J Comput Integr Manuf 15(1):37–49CrossRef
10.
Stnha RK, Hollier RH (1984) A review of production control problems in cellular manufacture. Int J Prod Res 22(5):773–789CrossRef
11.
Subramanian AK (2004) Cell loading and scheduling in a shoe manufacturing company. Master’s thesis, Ohio University
12.
Süer G, Subramanian A, Huang J (2009) Heuristic procedures and mathematical models for cell loading and scheduling in a shoe manufacturing company. Comput Ind Eng 56(2):462–475CrossRef
13.
Süer GA (1996) Optimal operator assignment and cell loading in labor-intensive manufacturing cells. Comput Ind Eng 31(1–2):155–158CrossRef
14.
Süer GA, Saiz M et al (1995) Manufacturing cell loading rules and algorithms for connected cells. Manuf Res Technol 24(24):97–127CrossRef
15.
Süer GA, Cosner J, Patten A (2008) Models for cell loading and product sequencing in labor-intensive cells. Comput Ind Eng 56(1):97–105CrossRef
16.
Süer GA, Ates OK, Mese EM (2014) Cell loading and family scheduling for jobs with individual due dates to minimise maximum tardiness. Int J Prod Res 52(19):5656–5674CrossRef
Metadata
Title
A Genetic Algorithm Approach for Loading Cells with Flow Shop Configuration
Authors
Patrick Gannon
Gürsel A. Süer
Copyright Year
2018
Book
Proceedings of the Eleventh International Conference on Management Science and Engineering Management

Print ISBN: 978-3-319-59279-4

Electronic ISBN: 978-3-319-59280-0

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-59280-0_46

Premium Partners

    Image Credits