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.
|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|
|Number of pages||8|
|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
|Name||IFIP Advances in Information and Communication Technology|
|Other||IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2018|
|Country/Territory||Korea, Republic of|
|Period||18/8/26 → 18/8/30|
Bibliographical noteFunding Information:
Acknowledgement. This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (NRF-2017R1C1B1008106).
© 2018, IFIP International Federation for Information Processing.
All Science Journal Classification (ASJC) codes
- Information Systems
- Computer Networks and Communications
- Information Systems and Management