Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Bücher
Zeitschriften
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
SLX-Digitalkonferenz: Zukunftswerkstatt 2024

Mehr Umsatz mit Top-Kontakten

Am 7. Mai erfahren Sie, wie Vertriebsteams Leadgenerierung, Leadnurturing und Leadstrategien effizient steuern können.
Erweiterte Suche
Anmelden
nach oben
Erschienen in:
A Concept of an IT Tool for Supporting Knowledge Transfer Among Facility Maintenance Employees as Part of Intelligent Organization Kapitel lesen Erstes Kapitel lesen

2018 | OriginalPaper | Buchkapitel

An Optimization Approach for Scheduling and Lot Sizing Problems in Electromechanical Industry Using GA-Based Method

verfasst von : Joanna Oleśków-Szłapka, Grzegorz Pawłowski, Marek Fertsch

Erschienen in: Intelligent Systems in Production Engineering and Maintenance – ISPEM 2017

Verlag: Springer International Publishing

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

The paper presents a method to determine the lot size and production schedule for variable ranges of products based on genetic algorithm. The computer simulation checks the established deadlines for the various orders and strives to minimize the total cycle of production times and machine setup times. The authors present the assumptions of the model and its results concerning generation of the optimal production sequence for the analyzed products. The paper also comprises the analysis if it is reasonable to combine orders or separate them according to individual customer needs.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

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!

Jetzt informieren

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!

Jetzt informieren

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!

Jetzt informieren
Vorheriges Kapitel An Intelligent System for Core-Competence Identification for Industry 4.0 Based on Research Results from German and Polish Manufacturing Companies
Nächstes Kapitel Application of Neural-Fuzzy System in Prediction of Methane Hazard
Literatur
1.
Stachowiak, A.: Availability and reliability of resources in an agile manufacturing systems. In: Safety and Reliability: Methodology and Application, pp. 2425–2432 (2015)
2.
Jasiulewicz-Kaczmarek, M., Bartkowiak, T.: Improving the performance of a filling line based on simulation. In: Cohal, V., Lobont, L., Topala, P., et al. (eds.) MODTECH International Conference - Modern Technologies In Industrial Engineering IV, PTS 1–7, Iasi, Romania, 15–18 June 2016. Book Series: IOP Conference Series-Materials Science and Engineering, vol. 145, Article Number: UNSP 042024 (2016) doi:10.​1088/​1757-899X/​145/​4/​042024
3.
Hadaś, Ł., Stachowiak, A., Cyplik, P.: Production-logistic system in the aspect of strategies for production planning and control and for logistic customer service. Log-forum 10(3), 331–349 (2014)
4.
Johnson, S.M.: Optimal two-and three-stage production schedules with setup times included. Naval Res. Logist. Q. 1(1), 61–68 (1954)CrossRefMATH
5.
Pawlak, M.: Evolutionary Algorithms as a Tool for Production Scheduling. WNT, Warszawa (1999)
6.
Knosala, R.: The use of Artificial Intelligence Methods in Production Engineering. WNT, Warszawa (2002)
7.
Oleśków, J.: Methods of optimizing batch sizes - comparative analysis, development and the benefits of using genetic algorithms. In: Knosala, M. (ed.) Computer Integrated Management. WNT, Warszawa (2004)
8.
Oleśków, J.: Application of artificial intelligence to solve problems of determining lot size in ERP systems. In: Knosala, M. (ed.) Computer Integrated Management. WNT, Warszawa (2007)
9.
Davis, L.: Job shop scheduling with genetic algorithms. In: Greffenstette, J.J. (ed.) Proceedings of an International Conference on Genetic Algorithms and their applications. Lawrence Erlbaum Associates, Hillsdadte (1985)
10.
Khouja, M., Michalewicz, Z., Wilmot, M.: The use of genetic algorithms to solve the economic lot size scheduling problem. Eur. J. Oper. Res. 110(3), 509–524 (1998)CrossRefMATH
11.
Stockton, D.J., Quinn, L.: MRP lot sizing using genetic algorithms. In: BPICS Control, pp. 21–27 (1993)
12.
Drexl, A., Kimms, A.: Lot sizing and scheduling – survey and extensions. Eur. J. Oper. Res. 99(2), 221–235 (1997)CrossRefMATH
13.
Fleischmann, B., Meyr, H.: The general lot sizing and scheduling problem. OR Spectr. 19(1), 11–21 (1997)CrossRefMATH
14.
Meyr, H.: Simultaneous lot sizing and scheduling by combining local search with dual reoptimization. Eur. J. Oper. Res. 120, 311–326 (2000)MathSciNetCrossRefMATH
15.
Chan, H.K., Chung, S.H., Lim, M.K.: Recent research trend of economics lot scheduling problems. J. Manuf. Technol. Manag. 24(3), 465–482 (2013)CrossRef
16.
Ferreira, D., Clark, A.L., Almada-Lobo, B., Morabito, R.: Single stage formulations for synchronised two-stage lot sizing and scheduling in soft drink production. Int. J. Prod. Econ. 136(2), 255–265 (2012)CrossRef
17.
Guimaraes, L., Klabjan, D., Almada-Lobo, B.: Pricing, relaxing and fixing under lot sizing and scheduling. Eur. J. Oper. Res. 230(2), 399–411 (2013)MathSciNetCrossRefMATH
18.
Toso, A.V., Morabito, R., Clark, A.R.: Lot sizing and sequencing optimization and an animal feed plant. Comput. Ind. Eng. 57(3), 813–821 (2009)CrossRef
19.
Clark, A.R., Almada-Lobo, B., Almeder, C.: Lot sizing and scheduling- industrial extensions and research opportunities, special issue on lot sizing and scheduling. Int. J. Prod. Res. 49(9), 2457–2461 (2011)CrossRef
20.
Clark, A.R., Mahdieh, M., Rangel, S.: Production lot sizing and scheduling with non-triangular sequence dependent setup times. Int. J. Prod. Res. 52(8), 2490–2503 (2014)CrossRef
21.
Sule, D.R.: Industrial Scheduling. International Thomson Publishing Company, Stamford (1997)MATH
22.
Parker, R.G.: Deterministic Scheduling Theory. Chapman and Hall, London (1955)MATH
23.
Chretienne, P.G., Goffman, E.G., Lenstra, J.U.: Scheduling Theory and Its Application. Wiley, New York (1997)
24.
Artiba, A., Elmagharabi, S.E.: The Planning and Scheduling of Production Systems: Methodologies and Applications. Chapman and Hall, London (1997)
25.
26.
Nasaruddin, Z., Ab Rahman, A., Rosmah, A.: A genetic algorithm for solving single level lotsizing problems. Jurnal Teknologi D 38, 47–66 (2003)
27.
Palaniappan, P.L.K., Jawahar, N.: A genetic algorithm for simultaneous optimisation of lot sizing and scheduling in a flow line assembly. Int. J. Prod. Res. 49(2), 375–700 (2011)CrossRefMATH
28.
Goncalves, J.F., Sousa, P.S.A.: A genetic algorithm for lot size and scheduling under capacity constraints and allowing backorder. Int. J. Prod. Res. 49(341) (2009)
29.
Oleśków-Szłapka, J., Pawłowski, G.: Metoda harmonogramowania produkcji dla zmiennego asortymentu wyrobów. Gospodarka materiałowa i logistyka 11/2014, s.52–s.58
Metadaten
Titel
An Optimization Approach for Scheduling and Lot Sizing Problems in Electromechanical Industry Using GA-Based Method
verfasst von
Joanna Oleśków-Szłapka
Grzegorz Pawłowski
Marek Fertsch
Copyright-Jahr
2018
Buch
Intelligent Systems in Production Engineering and Maintenance – ISPEM 2017

Print ISBN: 978-3-319-64464-6

Electronic ISBN: 978-3-319-64465-3

Copyright-Jahr: 2018

DOI
https://doi.org/10.1007/978-3-319-64465-3_14