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Production planning for a ramp-up process in a multi-stage production system with worker learning and growth in demand

Authors
Kim, Tae bokGlock, Christoph H.Emde, Simon
Issue Date
ACCEPT
Publisher
TAYLOR & FRANCIS LTD
Keywords
Production ramp-up; multi-stage production system; learning effect; demand growth
Citation
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
Indexed
SCIE
SCOPUS
Journal Title
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/169987
DOI
10.1080/00207543.2020.1798034
ISSN
0020-7543
Abstract
In a response to changes in customer requirements and environmental dynamics, product lifecycles have become shorter and shorter over the last decades. As a result, production ramp-ups have become more frequent in many industries, and they now often account for a significant share of the entire product lifecycle. Due to the prominent role production ramp-ups play in the lifecycle of a product, efficient production ramp-ups are now an important determinant of business success. This work proposes a mathematical model for managing production ramp-ups in a serial multi-stage production system. In the scenario considered here, both the productivity of workers and demand increase over time until a steady-state phase is reached at the end of the ramp-up. The model proposed in this paper supports the assignment of workers to the different stages of the production system and the balancing of production and demand to ensure a smooth transition from the production ramp-up to steady-state production. The model is analysed in numerical experiments to illustrate its potential for managing the production ramp-up. Our experiments show that high learning rates can have drawbacks in terms of large inventories if learning is not aligned with demand growth and across production stages.
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서울 공과대학 > 서울 산업공학과 > 1. Journal Articles

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COLLEGE OF ENGINEERING (DEPARTMENT OF INDUSTRIAL ENGINEERING)
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