scholarly journals Due-window assignment scheduling with learning and deterioration effects

2021 ◽  
Vol 0 (0) ◽  
pp. 0
Author(s):  
Shan-Shan Lin
2014 ◽  
Vol 644-650 ◽  
pp. 2026-2029
Author(s):  
Cheng Xin Luo ◽  
En Min Feng

This paper studies a multiple common due-window assignment problem on a single machine. The job-dependent due-windows are obtained based on common flow allowance criteria. We assume that the processing time of a job is controllable by the resource amount assigned to it. The objective is to find the optimal size and location of the multiple common due-windows, the set of jobs assigned to each due window, the sequence of jobs and resource allocation scheme to minimize a cost function based on the window size and location, earliness and tardiness of jobs and resource cost. We propose an optimal algorithm to solve the problem.


Author(s):  
Xue Jia ◽  
Dan-Yang Lv ◽  
Yang Hu ◽  
Ji-Bo Wang ◽  
Zhi Wang ◽  
...  

This paper studies the slack due-window assignment scheduling problem with deterioration effects and a deterioration maintenance activity on a single-machine. The machine deteriorates during the machining process, and at a certain moment performs a deterioration maintenance activity, that is, the duration time of the maintenance activity is a linear function of the maintenance starting time. It is needed to make a decision on when to schedule the deteriorating maintenance activity, the optimal common flow allowances and the sequence of jobs to minimize the weighted penalties for the sum of earliness and tardiness, weighted number of early and delayed, and weighted due-window starting time and size. This paper proposes a polynomial time algorithm to solve this problem.


Author(s):  
Yu Tian

In this study, the due-window assignment single-machine scheduling problem with resource allocation is considered, where the processing time of a job is controllable as a linear or convex function of amount of resource allocated to the job. Under common due-window and slack due-window assignments, our goal is to determine the optimal sequence of all jobs, the due-window start time, due-window size, and optimal resource allocation such that a sum of the scheduling cost (including weighted earliness/tardiness penalty, weighted number of early and tardy job, weighted due-window start time, and due-window size) and resource consumption cost is minimized. We analyze the optimality properties, and provide polynomial time solutions to solve the problem under four versions of due-window assignment and resource allocation function.


2019 ◽  
Vol 52 (2) ◽  
pp. 185-193 ◽  
Author(s):  
Ji-Bo Wang ◽  
Bo Zhang ◽  
Lin Li ◽  
Danyu Bai ◽  
Yu-Bo Feng

2013 ◽  
Vol 220 ◽  
pp. 487-495 ◽  
Author(s):  
Enrique Gerstl ◽  
Gur Mosheiov

2015 ◽  
Vol 32 (03) ◽  
pp. 1550014 ◽  
Author(s):  
Chuanli Zhao ◽  
Hengyong Tang

This paper considers a single machine scheduling with both deterioration and positional effects and due-window assignment problem. The job-dependent due-windows are obtained by the common flow allowance criterion. The objective is to schedule the jobs, and the due-windows so as to minimize the sum of earliness, tardiness, and due-window starting time and due-window size costs. We introduce a polynomial solution for the problem. Furthermore, we show how the solutions can be extended to the setting with job rejection.


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