Abstract
The flexible production plays the key role within any production system. An optimization model is developed for a production system with flexible production rate within a fixed limit, defined by the management, with quality improvement in a supply chain management. The aim of the model is to obtain the best optimum production rate with the global minimum cost. It is assumed that the lead time demand follows a normal distribution and a lead time crashing cost is used to reduce the lead time. A classical optimization technique is used to solve the supply chain model. A theorem is established to obtain the global minimum total cost. A numerical example is given to illustrate the model. Numerical studies prove that this model converges over the existing literature at the global minimum cost.
Original language | English |
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Title of host publication | Advances in Production Management Systems. Production Management for Data-Driven, Intelligent, Collaborative, and Sustainable Manufacturing - IFIP WG 5.7 International Conference, APMS 2018, Proceedings |
Editors | Dimitris Kiritsis, Ilkyeong Moon, Jinwoo Park, Gyu M. Lee, Gregor von Cieminski |
Publisher | Springer New York LLC |
Pages | 238-245 |
Number of pages | 8 |
ISBN (Print) | 9783319997032 |
DOIs | |
Publication status | Published - 2018 |
Event | IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2018 - Seoul, Korea, Republic of Duration: 2018 Aug 26 → 2018 Aug 30 |
Publication series
Name | IFIP Advances in Information and Communication Technology |
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Volume | 535 |
ISSN (Print) | 1868-4238 |
Other
Other | IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2018 |
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Country/Territory | Korea, Republic of |
City | Seoul |
Period | 18/8/26 → 18/8/30 |
Bibliographical note
Funding Information:Acknowledgement. This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (NRF-2017R1C1B1008106).
Publisher Copyright:
© 2018, IFIP International Federation for Information Processing.
All Science Journal Classification (ASJC) codes
- Information Systems
- Computer Networks and Communications
- Information Systems and Management