Universality of Makespan in Flowshop Scheduling Problem
Takashi Shinzato, Kei Kobayashi, Ikou Kaku

TL;DR
This paper investigates the universality of makespan in flowshop scheduling, revealing its insensitivity to processing time distributions and its decomposition into shape functions, with implications for scheduling efficiency.
Contribution
It provides a detailed analysis of makespan universality, introduces an algorithm for its derivation, and uncovers novel properties related to distribution insensitivity and shape function decomposition.
Findings
Makespan is minimally affected by changes in processing time distributions.
Makespan can be decomposed into two shape functions.
Scheduling procedures influence makespan less than dispatching rules.
Abstract
Makespan, which is defined as the time difference between the starting time and the terminate time of a sequence of jobs or tasks, as the time to traverse a belt conveyor system, is well known as one of the most important criteria in scheduling problems. It is often used by manufacturing firms in practice in order to improve the operational efficiency with respect to the order of job processing to be performed. It is known that the performance of a machine depends on the particular timing of the job processing even if the job processing order is fixed. That is, the performance of a system with respect to flowshop processing depends on the procedure of scheduling. In this present work, we first discuss the relationship between makespan and several scheduling procedures in detail by using a small example and provide an algorithm for deriving the makespan. Using our proposed algorithm,…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsScheduling and Optimization Algorithms · Optimization and Search Problems · Supply Chain and Inventory Management
