Proceedings of the 1st International Symposium on Innovative Management and Economics (ISIME 2021)

Product Portfolio Decision-making Method Based on Multiple Bottlenecks

Authors
Lipeng Wang, Chunqi Li
Corresponding Author
Lipeng Wang
Available Online 4 August 2021.
DOI
10.2991/aebmr.k.210803.055How to use a DOI?
Keywords
Bottleneck identification, Product mix, TOC (theory of constraints), LP (linear programming), Heuristic method
Abstract

Determining the appropriate product mix solution is one of the important production system decisions for manufacturing companies. Based on the traditional method of identifying bottlenecks in the theory of constraints, this paper proposes a heuristic method that considers all constraints simultaneously and assigns weights to all constraints in five steps to address the infeasibility of the traditional theory of constraints in product mix decisions under multiple resource constraints. The paper also illustrates the feasibility, simplicity and ease of use of the new method through a simulation example.

Copyright
© 2021, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 1st International Symposium on Innovative Management and Economics (ISIME 2021)
Series
Advances in Economics, Business and Management Research
Publication Date
4 August 2021
ISBN
978-94-6239-411-7
ISSN
2352-5428
DOI
10.2991/aebmr.k.210803.055How to use a DOI?
Copyright
© 2021, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Lipeng Wang
AU  - Chunqi Li
PY  - 2021
DA  - 2021/08/04
TI  - Product Portfolio Decision-making Method Based on Multiple Bottlenecks
BT  - Proceedings of the  1st International Symposium on Innovative Management and Economics (ISIME 2021)
PB  - Atlantis Press
SP  - 412
EP  - 416
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.210803.055
DO  - 10.2991/aebmr.k.210803.055
ID  - Wang2021
ER  -