arrow
Return

Single machine due window assignment and resource allocation scheduling problems with learning and general positional effects

delete2017-04-01
delete23
PRE
AI
刘璐 (Lu Liu)
汪建军 (Jianjun Wang) *
F
Feng Liu
刘明 (Ming Liu)
DOI:10.1016/j.jmsy.2017.01.002delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
This paper considers single machine scheduling problems which determine the optimal job schedule, due window location and resource allocation simultaneously. The optimized criteria consist of makespan, earliness, tardiness, due window starting time and size, and the allocated resource cost, to conform with just-in-time (JIT) manufacturing. The job's actual processing time is a general function of its position, starting time, and the resource quantity allocated for the job. Specifically, both the linear and convex resource consumption scenarios are considered. In the context of the linear and convex resource consumption, we present four research problems and prove that all of them are polynomially solvable under CON due window (all jobs share a common due window), SLK due window (each job is assigned an individual due window based on a common flow allowance) and DIF due window (each job has a different due window with no restrictions) assignment assumptions, respectively. (C) 2017 The Society of Manufacturing Engineers. Published by Elsevier Ltd. All rights reserved.
Keywords:
Scheduling
Due window assignment
Resource allocation
Learning effects
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Journal of Manufacturing Systems cover
Journal of Manufacturing Systems
IF:
14.2
Papers:
2.7K
Citations:
1.6W

Organization

T
tongji university
Scholars:
7.8W
Papers: 5.9W
Citations: 98
D
Dalian University of Technology
Scholars:
5.9W
Papers: 4.4W
Citations: 5.5W