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Chapter

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Title

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

Authors

[ 1 ] Katedra Zarządzania Produkcją i Logistyki, Wydział Inżynierii Zarządzania, Politechnika Poznańska | [ P ] employee

Scientific discipline (Law 2.0)

[6.6] Management and quality studies

Year of publication

2018

Chapter type

chapter in monograph / paper

Publication language

english

Keywords
EN
  • optimization problems
  • scheduling algorithms
  • intelligent manufacturing systems
  • lot size
Abstract

EN 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.

Pages (from - to)

140 - 150

DOI

10.1007/978-3-319-64465-3_14

URL

https://link.springer.com/chapter/10.1007/978-3-319-64465-3_14

Book

Intelligent Systems in Production Engineering and Maintenance – ISPEM 2017 : Proceedings of the First International Conference on Intelligent Systems in Production Engineering and Maintenance ISPEM 2017

Presented on

1st International Conference on Intelligent Systems in Production Engineering and Maintenance ISPEM 2017, 28-29.09.2017, Wrocław, Poland

Ministry points / chapter

20

Ministry points / chapter (humanities, social sciences and theology)

20

Publication indexed in

WoS (15)

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