Controllable production rate and quality improvement in a two-echelon supply chain model

Mitali Sarkar, Byung Do Chung

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 languageEnglish
Title of host publicationAdvances in Production Management Systems. Production Management for Data-Driven, Intelligent, Collaborative, and Sustainable Manufacturing - IFIP WG 5.7 International Conference, APMS 2018, Proceedings
EditorsDimitris Kiritsis, Ilkyeong Moon, Jinwoo Park, Gyu M. Lee, Gregor von Cieminski
PublisherSpringer New York LLC
Pages238-245
Number of pages8
ISBN (Print)9783319997032
DOIs
Publication statusPublished - 2018
EventIFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2018 - Seoul, Korea, Republic of
Duration: 2018 Aug 262018 Aug 30

Publication series

NameIFIP Advances in Information and Communication Technology
Volume535
ISSN (Print)1868-4238

Other

OtherIFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2018
Country/TerritoryKorea, Republic of
CitySeoul
Period18/8/2618/8/30

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

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