Department of Economics and Business Economics

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

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Production planning for a ramp-up process in a multi-stage production system with worker learning and growth in demand. / Kim, Taebok; Glock, Christoph H.; Emde, Simon.

In: International Journal of Production Research, 08.2020.

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Kim, Taebok ; Glock, Christoph H. ; Emde, Simon. / Production planning for a ramp-up process in a multi-stage production system with worker learning and growth in demand. In: International Journal of Production Research. 2020.

Bibtex

@article{43c517b4f9fa427a9df733d7571e44e3,
title = "Production planning for a ramp-up process in a multi-stage production system with worker learning and growth in demand",
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.",
keywords = "demand growth, learning effect, multi-stage production system, Production ramp-up",
author = "Taebok Kim and Glock, {Christoph H.} and Simon Emde",
year = "2020",
month = aug,
doi = "10.1080/00207543.2020.1798034",
language = "English",
journal = "International Journal of Production Research",
issn = "0020-7543",
publisher = "Taylor & Francis ",

}

RIS

TY - JOUR

T1 - Production planning for a ramp-up process in a multi-stage production system with worker learning and growth in demand

AU - Kim, Taebok

AU - Glock, Christoph H.

AU - Emde, Simon

PY - 2020/8

Y1 - 2020/8

N2 - 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.

AB - 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.

KW - demand growth

KW - learning effect

KW - multi-stage production system

KW - Production ramp-up

UR - http://www.scopus.com/inward/record.url?scp=85089017258&partnerID=8YFLogxK

U2 - 10.1080/00207543.2020.1798034

DO - 10.1080/00207543.2020.1798034

M3 - Journal article

AN - SCOPUS:85089017258

JO - International Journal of Production Research

JF - International Journal of Production Research

SN - 0020-7543

ER -