Single-machine due window assignment and scheduling with a common flow allowance and controllable job processing time

In this paper, we consider single-machine due window assignment and scheduling with a common flow allowance and controllable job processing times, subject to unlimited or limited resource availability. Due window assignment with a common flow allowance means that each job has a job-dependent due win...

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Published inThe Journal of the Operational Research Society Vol. 65; no. 1; pp. 1 - 13
Main Authors Yin, Y, Cheng, T C E, Wu, C-C, Cheng, S-R
Format Journal Article
LanguageEnglish
Published London Taylor & Francis 01.01.2014
Palgrave Macmillan
Palgrave Macmillan UK
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Abstract In this paper, we consider single-machine due window assignment and scheduling with a common flow allowance and controllable job processing times, subject to unlimited or limited resource availability. Due window assignment with a common flow allowance means that each job has a job-dependent due window, the starting time and completion time of which are equal to its actual processing time plus the job-independent parameters q 1 and q 2 , respectively, which are common to all the jobs. The processing time of each job is either a linear or a convex function of the amount of a common continuously divisible resource allocated to the job. We study five versions of the problem that differ in terms of the objective function and processing time function being used. We provide structural properties of the optimal schedules and polynomial-time solution algorithms for the considered problems.
AbstractList In this paper, we consider single-machine due window assignment and scheduling with a common flow allowance and controllable job processing times, subject to unlimited or limited resource availability. Due window assignment with a common flow allowance means that each job has a job-dependent due window, the starting time and completion time of which are equal to its actual processing time plus the job-independent parameters q 1 and q 2 , respectively, which are common to all the jobs. The processing time of each job is either a linear or a convex function of the amount of a common continuously divisible resource allocated to the job. We study five versions of the problem that differ in terms of the objective function and processing time function being used. We provide structural properties of the optimal schedules and polynomial-time solution algorithms for the considered problems.
In this paper, we consider single-machine due window assignment and scheduling with a common flow allowance and controllable job processing times, subject to unlimited or limited resource availability. Due window assignment with a common flow allowance means that each job has a job-dependent due window, the starting time and completion time of which are equal to its actual processing time plus the job-independent parameters q 1 and q 2 , respectively, which are common to all the jobs. The processing time of each job is either a linear or a convex function of the amount of a common continuously divisible resource allocated to the job. We study five versions of the problem that differ in terms of the objective function and processing time function being used. We provide structural properties of the optimal schedules and polynomial-time solution algorithms for the considered problems.
In this paper, we consider single-machine due window assignment and scheduling with a common flow allowance and controllable job processing times, subject to unlimited or limited resource availability. Due window assignment with a common flow allowance means that each job has a job-dependent due window, the starting time and completion time of which are equal to its actual processing time plus the job-independent parameters q1 and q2, respectively, which are common to all the jobs. The processing time of each job is either a linear or a convex function of the amount of a common continuously divisible resource allocated to the job. We study five versions of the problem that differ in terms of the objective function and processing time function being used. We provide structural properties of the optimal schedules and polynomial-time solution algorithms for the considered problems. [PUBLICATION ABSTRACT]
In this paper, we consider single-machine due window assignment and scheduling with a common flow allowance and controllable job processing times, subject to unlimited or limited resource availability. Due window assignment with a common flow allowance means that each job has a job-dependent due window, the starting time and completion time of which are equal to its actual processing time plus the job-independent parameters q₁ and q₂, respectively, which are common to all the jobs. The processing time of each job is either a linear or a convex function of the amount of a common continuously divisible resource allocated to the job. We study five versions of the problem that differ in terms of the objective function and processing time function being used. We provide structural properties of the optimal schedules and polynomial-time solution algorithms for the considered problems.
Author Cheng, T C E
Cheng, S-R
Yin, Y
Wu, C-C
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due window assignment
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Snippet In this paper, we consider single-machine due window assignment and scheduling with a common flow allowance and controllable job processing times, subject to...
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SubjectTerms Algorithms
Assignment problem
Business and Management
Commercial production
Consumption function
controllable processing times
Cost allocation
due window assignment
Employment
Fines & penalties
Flow control
General Paper
General Papers
Job shops
Lateness
Machinery
Management
Minimization of cost
Objective functions
Operations management
Operations research
Operations Research/Decision Theory
Production scheduling
resource allocation
Scheduling
Sequencing
Studies
Title Single-machine due window assignment and scheduling with a common flow allowance and controllable job processing time
URI https://www.tandfonline.com/doi/abs/10.1057/jors.2012.161
https://www.jstor.org/stable/24502049
https://link.springer.com/article/10.1057/jors.2012.161
https://www.proquest.com/docview/1467590583
Volume 65
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