IMPROVING JOB-SHOP PRODUCTION SCHEDULE WITH USE OF GENETIC ALGORITHM IN SMALL BATCH AND MULTI ASSORTMENT PRODUCTION COMPANY

1 GACEK Stanisław
Institution:
1 ANGA Uszczelnienia Mechaniczne sp. z o. o. Kozy, Poland, EU, sgacek@anga.com.pl
Conference:
CLC 2018 - Carpathian Logistics Congress, Wellness Hotel Step, Prague, Czech Republic, EU, December 3 - 5, 2018
Proceedings:
Proceedings CLC 2018 - Carpathian Logistics Congress
Pages:
123-130
ISBN:
978-80-87294-88-8
ISSN:
2694-9318
Published:
18th April 2019
Proceedings of the conference were published in Web of Science.
Metrics:
698 views / 300 downloads
Abstract

The paper presents a genetic algorithm being used for production scheduling in a real-life small batch and multi assortment production company in Poland. The algorithm has been implemented in an already functioning scheduling module of an ERP system. The use of the algorithm generated better quality production schedules and significantly limited staff engagement in scheduling preparation and its control. The details of the algorithm, production system, the range of improvement, conditions which allowed the improvement as well as situation before it are shown in the article. These include planning procedures used before and after the improvement, rationale behind the genetic algorithm development and problems in its every-day use.

Keywords: Scheduling, genetic algorithm, job-shop, small batch, production

© This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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