Single machine scheduling with a generalized job-dependent cumulative effect

We consider a single machine scheduling problem with changing processing times. The processing conditions are subject to a general cumulative effect, in which the processing time of a job depends on the sum of certain parameters associated with previously scheduled jobs. In previous papers, these pa...

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Veröffentlicht in:Journal of scheduling Jg. 20; H. 6; S. 583 - 592
Hauptverfasser: Rustogi, Kabir, Strusevich, Vitaly A.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York Springer US 01.12.2017
Springer Nature B.V
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ISSN:1094-6136, 1099-1425
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Abstract We consider a single machine scheduling problem with changing processing times. The processing conditions are subject to a general cumulative effect, in which the processing time of a job depends on the sum of certain parameters associated with previously scheduled jobs. In previous papers, these parameters are assumed to be equal to the normal processing times of jobs, which seriously limits the practical application of this model. We further generalize this model by allowing every job to respond differently to these cumulative effects. For the introduced model, we solve the problem of minimizing the makespan, with and without precedence constraints. For the problem without precedence constraints, we also consider a situation in which a maintenance activity is included in the schedule, which can improve the processing conditions of the machine, not necessarily to its original state. The resulting problem is reformulated as a variant of a Boolean programming problem with a quadratic objective, known as a half-product, which allows us to develop a fully polynomial-time approximation scheme with the best possible running time.
AbstractList We consider a single machine scheduling problem with changing processing times. The processing conditions are subject to a general cumulative effect, in which the processing time of a job depends on the sum of certain parameters associated with previously scheduled jobs. In previous papers, these parameters are assumed to be equal to the normal processing times of jobs, which seriously limits the practical application of this model. We further generalize this model by allowing every job to respond differently to these cumulative effects. For the introduced model, we solve the problem of minimizing the makespan, with and without precedence constraints. For the problem without precedence constraints, we also consider a situation in which a maintenance activity is included in the schedule, which can improve the processing conditions of the machine, not necessarily to its original state. The resulting problem is reformulated as a variant of a Boolean programming problem with a quadratic objective, known as a half-product, which allows us to develop a fully polynomial-time approximation scheme with the best possible running time.
Author Rustogi, Kabir
Strusevich, Vitaly A.
Author_xml – sequence: 1
  givenname: Kabir
  surname: Rustogi
  fullname: Rustogi, Kabir
  organization: Department of Mathematical Sciences, University of Greenwich
– sequence: 2
  givenname: Vitaly A.
  surname: Strusevich
  fullname: Strusevich, Vitaly A.
  email: V.Strusevich@greenwich.ac.uk
  organization: Department of Mathematical Sciences, University of Greenwich
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CitedBy_id crossref_primary_10_1007_s10878_020_00607_y
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crossref_primary_10_3233_JIFS_191007
crossref_primary_10_1016_j_eswa_2020_113348
crossref_primary_10_1016_j_cie_2024_110331
crossref_primary_10_1007_s12293_025_00450_w
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Journal of Scheduling is a copyright of Springer, (2016). All Rights Reserved.
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Issue 6
Keywords Precedence constraints
Maintenance
Approximation scheme
Half-product problem
Deterioration
Single machine
Language English
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PublicationTitle Journal of scheduling
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TamirAA strongly polynomial algorithm for minimum convex separable quadratic cost flow problems on two-terminal series-parallel networksMathematical Programming19935911713210.1007/BF01581240
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497_CR23
S Gawiejnowicz (497_CR5) 2008
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Y Yin (497_CR26) 2009; 179
A Dolgui (497_CR3) 2012; 39
WE Smith (497_CR21) 1956; 3
H Kellerer (497_CR8) 2013; 16
W-H Kuo (497_CR12) 2006; 97
C-Y Lee (497_CR15) 2001; 128
H Kellerer (497_CR9) 2010; 21
K Rustogi (497_CR18) 2012; 222
VS Gordon (497_CR6) 2008; 11
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CL Monma (497_CR16) 1979; 4
EL Lawler (497_CR14) 1978; 2
E Erel (497_CR4) 2008; 156
497_CR10
W-H Kuo (497_CR13) 2006; 174
K Rustogi (497_CR20) 2015; 66
J-B Wang (497_CR25) 2005; 94
A Agnetis (497_CR1) 2014
K Rustogi (497_CR17) 2012; 40
T Badics (497_CR2) 1998; 33
JR Valdes (497_CR24) 1982; 11
References_xml – reference: AgnetisABillautJ-CGawiejnowiczSPacciarelliDSoukhalAMultiagent scheduling. Models and algorithms2014BerlinSpringer10.1007/978-3-642-41880-8
– reference: RustogiKStrusevichVASimple matching vs linear assignment in scheduling models with positional effects: A critical reviewEuropean Journal of Operational Research201222239340710.1016/j.ejor.2012.04.037
– reference: Kellerer, H., & Strusevich, V. A. (2016). Optimizing the half-product and related quadratic Boolean functions: Approximation and scheduling applications. Annals of Operations Research, 240, 39–94.
– reference: SmithWEVarious optimizers for single state productionNaval Research Logistics Quarterly195636669
– reference: Tanaev, V. S., Gordon, V. S., & Shafransky, Y. M. (1984). Scheduling theory. Single-stage systems. Moscow: Nauka (in Russian; translated into English by Kluwer Academic, Dordrecht, 1994).
– reference: YinYXuDSunKLiHSome scheduling problems with general position-dependent and time-dependent learning effectsInformation Sciences20091792416242510.1016/j.ins.2009.02.015
– reference: LawlerELSequencing jobs to minimize total weighted completion time subject to precedence constraintsAnnals of Discrete Mathematics19782759010.1016/S0167-5060(08)70323-6
– reference: RustogiKStrusevichVASingle machine scheduling with general positional deterioration and rate-modifying maintenanceOmega20124079180410.1016/j.omega.2011.12.007
– reference: KuoW-HYangD-LMinimizing the total completion time in a single-machine scheduling problem with a time-dependent learning effectEuropean Journal of Operational Research20061741184119010.1016/j.ejor.2005.03.020
– reference: WangJ-BXiaZ-QScheduling jobs under decreasing linear deteriorationInformation Processing Letters200594636910.1016/j.ipl.2004.12.018
– reference: TamirAA strongly polynomial algorithm for minimum convex separable quadratic cost flow problems on two-terminal series-parallel networksMathematical Programming19935911713210.1007/BF01581240
– reference: Kellerer, H., & Strusevich, V. A. (2012). The symmetric quadratic knapsack problem: Approximation and scheduling applications. 4OR, 10, 111–161.
– reference: RustogiKStrusevichVACombining time and position dependent effects on a single machine subject to rate-modifying activitiesOmega20144216617810.1016/j.omega.2013.05.005
– reference: KuoW-HYangD-LMinimizing the makespan in a single machine scheduling problem with a time-based learning effectInformation Processing Letters200697646710.1016/j.ipl.2005.09.007
– reference: ValdesJRTarjanELawlerELThe recognition of series-parallel digraphsSIAM Journal on Computing19821136137010.1137/0211023
– reference: Huang, X., & Wang, J.-J. (2015). Machine scheduling problems with a position-dependent deterioration. Applied Mathematical Modelling, 39, 2897–2908.
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SubjectTerms Artificial Intelligence
Boolean algebra
Business and Management
Calculus of Variations and Optimal Control; Optimization
Job shops
Mathematical models
Operations Research/Decision Theory
Optimization
Precedence constraints
Production scheduling
Scheduling
Supply Chain Management
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