Abstract

Abstract This paper considers a two-stage supply chain that a make-to-stock facility produces a single component in anticipation of future demand and a make-to-order facility produces customized products using components with the option of to accept or reject each customer order. We address the problem of centralizing the admission and production control that maximizes the supply chain's profit subject to the system costs. Using a Markov decision process model, we characterize the structure of the optimal admission control and production policy and establish the monotonic impact of system parameters on the optimal policy. Two heuristics are presented and their performance is numerically compared to the optimal policy under different operating conditions of the system.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.