Abstract
In this note, we consider a broad class of dynamic scheduling problems associated with a single-server, multiclass, continuous-flow manufacturing system. Using a general framework, we provide conditions under which the solution to these problems is the implementation of a class of production controls called myopic scheduling policies. The proof of optimality, which is intuitively appealing, applies to more general production models than existing proofs in the literature, which typically either use the maximum principle or solve the Hamilton-Jacobi-Bellman (HJB) equation. We also present several counter-examples that explicitly illustrate the potential limitations of myopic scheduling policies.
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 callDisclaimer: 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.
