Exact method to optimize the total electricity cost in two-machine permutation flow shop scheduling problem under Time-of-use tariff
This study investigates the minimization of total electricity cost in a two-machine permutation flow shop scheduling problem under the most common electricity tariff, Time-of-Use (ToU). We provide a new property and solution approach to enhance existing methods in the literature. First, we provide a...
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| Vydané v: | Computers & operations research Ročník 144; s. 105788 |
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| Hlavní autori: | , , |
| Médium: | Journal Article |
| Jazyk: | English |
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New York
Elsevier Ltd
01.08.2022
Pergamon Press Inc Elsevier |
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| ISSN: | 0305-0548, 1873-765X, 0305-0548 |
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| Abstract | This study investigates the minimization of total electricity cost in a two-machine permutation flow shop scheduling problem under the most common electricity tariff, Time-of-Use (ToU). We provide a new property and solution approach to enhance existing methods in the literature. First, we provide an overview of the optimal cases for some specific ToU pricing structures that consist of only two pricing intervals. When the electricity price decreases, Johnson’s rule and dynamic programming give rise to an optimal solution. On the other hand, when the electricity price increases, we provide a condition of optimality for Johnson’s rule. Second, we develop a property based on Johnson’s rule to determine the optimal sequence for general ToU pricing structures. Third, we propose a new mixed-integer linear programming. Then, we design an exact method based on “Logic-based Benders decomposition” to solve the problem. Finally, the numerical tests show that our proposed approach significantly improves the quality of existing results in the literature.
•We give the optimal cases for some specific Time-of-Use pricing structures that consist of only two pricing intervals.•We develop a property based on Johnson’s rule to determine the optimal sequence for general Time-of-Use pricing structures.•We propose a new mixed-integer linear programming for two-machine permutation flow shop scheduling problem with electricity costs.•We apply an exact method by Logic-based Benders decomposition to solve the problem.•Our proposed solutions approaches outperform other approaches in the literature in terms of electricity cost in computational experiments. |
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| AbstractList | This study investigates the minimization of total electricity cost in a two-machine permutation flow shop scheduling problem under the most common electricity tariff, Time-of-Use (ToU). We provide a new property and solution approach to enhance existing methods in the literature. First, we provide an overview of the optimal cases for some specific ToU pricing structures that consist of only two pricing intervals. When the electricity price decreases, Johnson's rule and dynamic programming give rise to an optimal solution. On the other hand, when the electricity price increases, we provide a condition of optimality for Johnson's rule. Second, we develop a property based on Johnson's rule to determine the optimal sequence for general ToU pricing structures. Third, we propose a new mixed-integer linear programming. Then, we design an exact method based on “Logic-based Benders decomposition” to solve the problem. Finally, the numerical tests show that our proposed approach significantly improves the quality of existing results in the literature. This study investigates the minimization of total electricity cost in a two-machine permutation flow shop scheduling problem under the most common electricity tariff, Time-of-Use (ToU). We provide a new property and solution approach to enhance existing methods in the literature. First, we provide an overview of the optimal cases for some specific ToU pricing structures that consist of only two pricing intervals. When the electricity price decreases, Johnson’s rule and dynamic programming give rise to an optimal solution. On the other hand, when the electricity price increases, we provide a condition of optimality for Johnson’s rule. Second, we develop a property based on Johnson’s rule to determine the optimal sequence for general ToU pricing structures. Third, we propose a new mixed-integer linear programming. Then, we design an exact method based on “Logic-based Benders decomposition” to solve the problem. Finally, the numerical tests show that our proposed approach significantly improves the quality of existing results in the literature. •We give the optimal cases for some specific Time-of-Use pricing structures that consist of only two pricing intervals.•We develop a property based on Johnson’s rule to determine the optimal sequence for general Time-of-Use pricing structures.•We propose a new mixed-integer linear programming for two-machine permutation flow shop scheduling problem with electricity costs.•We apply an exact method by Logic-based Benders decomposition to solve the problem.•Our proposed solutions approaches outperform other approaches in the literature in terms of electricity cost in computational experiments. |
| ArticleNumber | 105788 |
| Author | Ho, Minh Hung Hnaien, Faicel Dugardin, Frederic |
| Author_xml | – sequence: 1 givenname: Minh Hung orcidid: 0000-0002-2156-3721 surname: Ho fullname: Ho, Minh Hung email: minh_hung.ho@hotmail.com – sequence: 2 givenname: Faicel surname: Hnaien fullname: Hnaien, Faicel – sequence: 3 givenname: Frederic surname: Dugardin fullname: Dugardin, Frederic |
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| Cites_doi | 10.1016/j.cor.2020.105088 10.1016/j.ijpe.2019.03.021 10.1080/00207543.2018.1504251 10.1016/j.cor.2013.06.011 10.1016/j.cor.2014.05.002 10.1007/s10845-013-0812-4 10.1080/00207543.2019.1624857 10.1016/j.jclepro.2015.09.020 10.1016/j.jclepro.2013.12.024 10.1016/j.cie.2021.107286 10.1016/j.rcim.2013.04.001 10.1016/j.ejor.2015.08.064 10.1016/j.cie.2019.04.042 10.1016/j.epsr.2008.04.002 10.1007/s11573-020-00971-5 10.1016/j.ijpe.2004.12.008 10.1016/j.ejor.2018.11.002 10.1016/S0167-5060(08)70356-X 10.1002/nav.3800010110 10.1016/j.cor.2018.04.009 10.1016/j.ijpe.2013.01.028 10.1016/j.cor.2017.04.004 10.1016/j.ijpe.2016.06.019 10.1080/00207543.2017.1414969 10.1080/00207543.2015.1005248 10.1016/j.cie.2019.106072 10.1016/j.cie.2019.03.033 10.1016/j.jclepro.2015.06.002 10.1016/j.cie.2012.10.002 10.1007/s10107-003-0375-9 10.1016/j.procir.2016.11.136 10.1016/j.scs.2013.11.001 10.1007/s10845-020-01561-6 10.1016/j.cie.2019.06.048 10.1016/j.cie.2019.07.036 10.1016/j.jclepro.2015.09.097 10.1016/j.ijpe.2012.05.016 10.1016/j.compchemeng.2017.05.004 10.1007/BF01386316 10.1016/j.cie.2017.08.011 10.1016/j.jclepro.2018.05.056 10.1016/j.ifacol.2018.08.468 10.1007/s10479-015-2003-5 10.1016/j.jclepro.2018.10.289 10.1007/s10479-012-1294-z 10.1080/00207543.2016.1241446 10.1016/j.cie.2020.106942 10.1080/00207543.2017.1401236 10.1109/TASE.2015.2495328 10.1080/00207540701450013 10.1016/j.apenergy.2016.04.100 |
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| Keywords | Electricity cost Scheduling Flow shop Time of use tariff |
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| References | Fang, Uhan, Zhao, Sutherland (b21) 2013; 206 Gong, Van der Wee, De Pessemier, Verbrugge, Colle, Martens, Joseph (b26) 2017; 61 Badri, Daghbandan, Aghabeiginiyay Fatalaki, Mirzazadeh (b6) 2021; 9 Mansouri, Aktas, Besikci (b42) 2016; 248 Jiang, Wang (b33) 2019; 57 Jiang, Wang (b32) 2018 Leung, Lee, Pinedo (b36) 2012; 139 Akpan, Akpan (b4) 2012; 2 Johnson (b34) 1954; 1 Wang, Wang, Yu, Ma, Liu (b56) 2018; 193 Gelazanskas, Gamage (b23) 2014; 11 Modos, Sucha, Hanzalek (b45) 2017; 112 Che, Wu, Peng, Yan (b9) 2017; 85 Aghelinejad, Ouazene, Yalaoui (b1) 2018; 51 Chen, Megow, Rischke, Stougie, Verschae (b10) 2018 COP21 (b13) 2016 Dabur, Singh, Yadav (b15) 2012; 1 Pilerood, Heydari, Mazdeh (b48) 2018; 29 Hooker, Ottosson (b28) 2003; 96 Rager, Gahm, Denz (b49) 2015; 54 Zhang, Wu, Pan, Xu (b62) 2021; 32 Wang (b58) 2020; 204 Zhang, Chiong (b60) 2016; 112 Braithwait, Hansen, O’Sheasy (b8) 2007 Wang, Li (b54) 2016; 175 Wang, Wang, Chu, Yu (b55) 2020; 58 Benders (b7) 1962; 4 Aghelinejad, Ouazene, Yalaoui (b2) 2018; 56 Schulz, Udo, Liji (b50) 2020; 90 Wang, Zhu, Fang, Chu, Chu (b57) 2018; 56 Fang, Lin (b20) 2013; 64 Ji, Wang, Lee (b30) 2013; 40 Zhou, Li, Du, Pang, Chen (b64) 2018; 96 Liu, Dong, Lohse, Petrovic (b39) 2016; 179 Liu, Yang, Cheng (b40) 2017; 55 Zhang, Pan, Gao, Li, Meng, Peng (b61) 2019; 136 Gong, De Pessemier, Martens, Joseph (b25) 2019; 209 Chen, Zhang (b12) 2019; 274 Zheng, Zhou, Xu, Chen (b63) 2019 Fang, Uhan, Zhao, Sutherland (b22) 2016; 238 Drake, Yildirim, Twomey, Whitman, Ahmad, Lodhia (b19) 2006 Li, Tang, Cui, Li (b37) 2015; 26 Sharma, Zhao, Sutherland (b51) 2015; 108 Graham, Lawler, Lenstra, Kan (b27) 1979 Shrouf, Ordieres-Meré, García-Sánchez, Ortega-Mier (b52) 2014; 67 Albadi, El-Saadany (b5) 2008; 78 Liang, Wang, Zhang, Sun (b38) 2019; 132 IEA (b29) 2019 Ding, Song, Zhang, Chiong, Wu (b18) 2015; 13 Subai, Baptiste, Niel (b53) 2006; 99 Masmoudi, Delorme, Gianessi (b43) 2019; 216 Aghelinejad, Ouazene, Yalaoui (b3) 2019; 6 Cui, Lu (b14) 2021; 151 Jia, Wang, Wu, Yang, Zhang, Chen (b31) 2019; 131 Luo, Du, Huang, Chen, Li (b41) 2013; 146 Wu, Shen, Li (b59) 2019; 135 Mokhtari, Hasani (b46) 2017; 104 Kong, Xu, Zhang, Lu, Fang, Mladenovic (b35) 2021; 156 Gong, De Pessemier, Joseph, Martens (b24) 2016; 113 Chen, Wang, Xu (b11) 2019; 137 Mouzon, Yildirim, Twomey (b47) 2007; 45 Dai, Tang, Giret, Salido, Li (b16) 2013; 29 Ding, Schulz, Shen, Buscher, Lü (b17) 2021; 125 May, Stahl, Taisch, Prabhu (b44) 2015; 53 Rager (10.1016/j.cor.2022.105788_b49) 2015; 54 Wang (10.1016/j.cor.2022.105788_b58) 2020; 204 Cui (10.1016/j.cor.2022.105788_b14) 2021; 151 May (10.1016/j.cor.2022.105788_b44) 2015; 53 Aghelinejad (10.1016/j.cor.2022.105788_b2) 2018; 56 Li (10.1016/j.cor.2022.105788_b37) 2015; 26 Fang (10.1016/j.cor.2022.105788_b21) 2013; 206 Gelazanskas (10.1016/j.cor.2022.105788_b23) 2014; 11 Mokhtari (10.1016/j.cor.2022.105788_b46) 2017; 104 Wang (10.1016/j.cor.2022.105788_b56) 2018; 193 Wu (10.1016/j.cor.2022.105788_b59) 2019; 135 Jia (10.1016/j.cor.2022.105788_b31) 2019; 131 Benders (10.1016/j.cor.2022.105788_b7) 1962; 4 Ding (10.1016/j.cor.2022.105788_b18) 2015; 13 Leung (10.1016/j.cor.2022.105788_b36) 2012; 139 Wang (10.1016/j.cor.2022.105788_b54) 2016; 175 Albadi (10.1016/j.cor.2022.105788_b5) 2008; 78 Graham (10.1016/j.cor.2022.105788_b27) 1979 Liu (10.1016/j.cor.2022.105788_b39) 2016; 179 Dai (10.1016/j.cor.2022.105788_b16) 2013; 29 Johnson (10.1016/j.cor.2022.105788_b34) 1954; 1 Chen (10.1016/j.cor.2022.105788_b10) 2018 Badri (10.1016/j.cor.2022.105788_b6) 2021; 9 Fang (10.1016/j.cor.2022.105788_b20) 2013; 64 Liu (10.1016/j.cor.2022.105788_b40) 2017; 55 Chen (10.1016/j.cor.2022.105788_b12) 2019; 274 Luo (10.1016/j.cor.2022.105788_b41) 2013; 146 Gong (10.1016/j.cor.2022.105788_b24) 2016; 113 Kong (10.1016/j.cor.2022.105788_b35) 2021; 156 Fang (10.1016/j.cor.2022.105788_b22) 2016; 238 Aghelinejad (10.1016/j.cor.2022.105788_b3) 2019; 6 Mouzon (10.1016/j.cor.2022.105788_b47) 2007; 45 Subai (10.1016/j.cor.2022.105788_b53) 2006; 99 Hooker (10.1016/j.cor.2022.105788_b28) 2003; 96 Zhang (10.1016/j.cor.2022.105788_b61) 2019; 136 COP21 (10.1016/j.cor.2022.105788_b13) 2016 Jiang (10.1016/j.cor.2022.105788_b32) 2018 Gong (10.1016/j.cor.2022.105788_b26) 2017; 61 Chen (10.1016/j.cor.2022.105788_b11) 2019; 137 Braithwait (10.1016/j.cor.2022.105788_b8) 2007 Wang (10.1016/j.cor.2022.105788_b57) 2018; 56 Masmoudi (10.1016/j.cor.2022.105788_b43) 2019; 216 Mansouri (10.1016/j.cor.2022.105788_b42) 2016; 248 Wang (10.1016/j.cor.2022.105788_b55) 2020; 58 Ji (10.1016/j.cor.2022.105788_b30) 2013; 40 IEA (10.1016/j.cor.2022.105788_b29) 2019 Dabur (10.1016/j.cor.2022.105788_b15) 2012; 1 Zhou (10.1016/j.cor.2022.105788_b64) 2018; 96 Drake (10.1016/j.cor.2022.105788_b19) 2006 Che (10.1016/j.cor.2022.105788_b9) 2017; 85 Zhang (10.1016/j.cor.2022.105788_b62) 2021; 32 Aghelinejad (10.1016/j.cor.2022.105788_b1) 2018; 51 Schulz (10.1016/j.cor.2022.105788_b50) 2020; 90 Pilerood (10.1016/j.cor.2022.105788_b48) 2018; 29 Sharma (10.1016/j.cor.2022.105788_b51) 2015; 108 Zhang (10.1016/j.cor.2022.105788_b60) 2016; 112 Shrouf (10.1016/j.cor.2022.105788_b52) 2014; 67 Ding (10.1016/j.cor.2022.105788_b17) 2021; 125 Jiang (10.1016/j.cor.2022.105788_b33) 2019; 57 Modos (10.1016/j.cor.2022.105788_b45) 2017; 112 Liang (10.1016/j.cor.2022.105788_b38) 2019; 132 Zheng (10.1016/j.cor.2022.105788_b63) 2019 Akpan (10.1016/j.cor.2022.105788_b4) 2012; 2 Gong (10.1016/j.cor.2022.105788_b25) 2019; 209 |
| References_xml | – volume: 56 start-page: 3173 year: 2018 end-page: 3187 ident: b57 article-title: Scheduling on a two-machine permutation flow shop under time-of-use electricity tariffs publication-title: Int. J. Prod. Res. – volume: 56 start-page: 5558 year: 2018 end-page: 5575 ident: b2 article-title: Production scheduling optimisation with machine state and time-dependent energy costs publication-title: Int. J. Prod. Res. – volume: 54 start-page: 218 year: 2015 end-page: 231 ident: b49 article-title: Energy-oriented scheduling based on evolutionary algorithms publication-title: Comput. Oper. Res. – year: 2018 ident: b10 article-title: Optimal algorithms for scheduling under time-of-use tariffs – volume: 13 start-page: 1138 year: 2015 end-page: 1154 ident: b18 article-title: Parallel machine scheduling under time-of-use electricity prices: New models and optimization approaches publication-title: IEEE Trans. Autom. Sci. Eng. – volume: 67 start-page: 197 year: 2014 end-page: 207 ident: b52 article-title: Optimizing the production scheduling of a single machine to minimize total energy consumption costs publication-title: J. Cleaner Prod. – volume: 238 start-page: 199 year: 2016 end-page: 227 ident: b22 article-title: Scheduling on a single machine under time-of-use electricity tariffs publication-title: Ann. Oper. Res. – volume: 61 start-page: 387 year: 2017 end-page: 392 ident: b26 article-title: Energy-and labor-aware production scheduling for sustainable manufacturing: A case study on plastic bottle manufacturing publication-title: Procedia CIRP – volume: 78 start-page: 1989 year: 2008 end-page: 1996 ident: b5 article-title: A summary of demand response in electricity markets publication-title: Electr. Power Syst. Res. – volume: 1 start-page: 1 year: 2012 end-page: 6 ident: b15 article-title: Electricity demand side management: Various concept and prospects publication-title: Int. J. Recent Technol. Eng. (IJRTE) – start-page: 1 year: 2019 end-page: 18 ident: b63 article-title: Energy-efficient scheduling for multi-objective two-stage flow shop using a hybrid ant colony optimisation algorithm publication-title: Int. J. Prod. Res. – volume: 151 year: 2021 ident: b14 article-title: Energy-aware operations management for flow shops under TOU electricity tariff publication-title: Comput. Ind. Eng. – year: 2016 ident: b13 article-title: Paris agreement – volume: 179 start-page: 259 year: 2016 end-page: 272 ident: b39 article-title: A multi-objective genetic algorithm for optimisation of energy consumption and shop floor production performance publication-title: Int. J. Prod. Econ. – volume: 6 year: 2019 ident: b3 article-title: Complexity analysis of energy-efficient single machine scheduling problems publication-title: Oper. Res. Perspect. – volume: 136 start-page: 325 year: 2019 end-page: 344 ident: b61 article-title: A multiobjective evolutionary algorithm based on decomposition for hybrid flowshop green scheduling problem publication-title: Comput. Ind. Eng. – volume: 4 start-page: 238 year: 1962 end-page: 252 ident: b7 article-title: Partitioning procedures for solving mixed-variables programming problems publication-title: Numer. Math. – volume: 85 start-page: 172 year: 2017 end-page: 183 ident: b9 article-title: Energy-efficient bi-objective single-machine scheduling with power-down mechanism publication-title: Comput. Oper. Res. – volume: 125 year: 2021 ident: b17 article-title: Energy aware scheduling in flexible flow shops with hybrid particle swarm optimization publication-title: Comput. Oper. Res. – volume: 206 start-page: 115 year: 2013 end-page: 145 ident: b21 article-title: Flow shop scheduling with peak power consumption constraints publication-title: Ann. Oper. Res. – volume: 26 start-page: 911 year: 2015 end-page: 922 ident: b37 article-title: A quantitative approach to analyze carbon emissions of CNC-based machining systems publication-title: J. Intell. Manuf. – start-page: 1 year: 2007 end-page: 57 ident: b8 article-title: Retail Electricity Pricing and Rate Design in Evolving Markets – volume: 104 start-page: 339 year: 2017 end-page: 352 ident: b46 article-title: An energy-efficient multi-objective optimization for flexible job-shop scheduling problem publication-title: Comput. Chem. Eng. – volume: 32 start-page: 91 year: 2021 end-page: 112 ident: b62 article-title: Two-stage parallel speed-scaling machine scheduling under time-of-use tariffs publication-title: J. Intell. Manuf. – volume: 135 start-page: 1004 year: 2019 end-page: 1024 ident: b59 article-title: The flexible job-shop scheduling problem considering deterioration effect and energy consumption simultaneously publication-title: Comput. Ind. Eng. – volume: 156 year: 2021 ident: b35 article-title: Energy-efficient rescheduling with time-of-use energy cost: Application of variable neighborhood search algorithm publication-title: Comput. Ind. Eng. – volume: 57 start-page: 1756 year: 2019 end-page: 1771 ident: b33 article-title: An improved multi-objective evolutionary algorithm based on decomposition for energy-efficient permutation flow shop scheduling problem with sequence-dependent setup time publication-title: Int. J. Prod. Res. – volume: 53 start-page: 7071 year: 2015 end-page: 7089 ident: b44 article-title: Multi-objective genetic algorithm for energy-efficient job shop scheduling publication-title: Int. J. Prod. Res. – volume: 64 start-page: 224 year: 2013 end-page: 234 ident: b20 article-title: Parallel-machine scheduling to minimize tardiness penalty and power cost publication-title: Comput. Ind. Eng. – volume: 139 start-page: 321 year: 2012 end-page: 329 ident: b36 article-title: Bi-criteria scheduling with machine assignment costs publication-title: Int. J. Prod. Econ. – volume: 1 start-page: 61 year: 1954 end-page: 68 ident: b34 article-title: Optimal two-and three-stage production schedules with setup times included publication-title: Nav. Res. Logist. Q. – volume: 204 year: 2020 ident: b58 article-title: Multi-objective optimization based on decomposition for flexible job shop scheduling under time-of-use electricity prices publication-title: Knowl.-Based Syst. – volume: 112 start-page: 391 year: 2017 end-page: 408 ident: b45 article-title: Algorithms for robust production scheduling with energy consumption limits publication-title: Comput. Ind. Eng. – year: 2019 ident: b29 article-title: CO2 emissions from fuel combustion 2018 overview – volume: 51 start-page: 1053 year: 2018 end-page: 1058 ident: b1 article-title: Energy efficient scheduling problems under Time-Of-Use tariffs with different energy consumption of the jobs publication-title: IFAC-PapersOnLine – volume: 96 start-page: 55 year: 2018 end-page: 68 ident: b64 article-title: A multi-objective differential evolution algorithm for parallel batch processing machine scheduling considering electricity consumption cost publication-title: Comput. Oper. Res. – volume: 131 start-page: 41 year: 2019 end-page: 56 ident: b31 article-title: Multi-objective energy-aware batch scheduling using ant colony optimization algorithm publication-title: Comput. Ind. Eng. – volume: 90 start-page: 1315 year: 2020 end-page: 1343 ident: b50 article-title: Multi-objective hybrid flow shop scheduling with variable discrete production speed levels and time-of-use energy prices publication-title: Z. Betriebswirtschaft – volume: 193 start-page: 424 year: 2018 end-page: 440 ident: b56 article-title: Bi-objective identical parallel machine scheduling to minimize total energy consumption and makespan publication-title: J. Cleaner Prod. – volume: 29 start-page: 418 year: 2013 end-page: 429 ident: b16 article-title: Energy-efficient scheduling for a flexible flow shop using an improved genetic-simulated annealing algorithm publication-title: Robot. Comput.-Integr. Manuf. – volume: 55 start-page: 3073 year: 2017 end-page: 3091 ident: b40 article-title: A three-stage decomposition approach for energy-aware scheduling with processing-time-dependent product quality publication-title: Int. J. Prod. Res. – volume: 96 start-page: 33 year: 2003 end-page: 60 ident: b28 article-title: Logic-based Benders decomposition publication-title: Math. Program. – start-page: 287 year: 1979 end-page: 326 ident: b27 article-title: Optimization and approximation in deterministic sequencing and scheduling: a survey publication-title: Annals of Discrete Mathematics, vol. 5 – volume: 2 start-page: 21 year: 2012 end-page: 33 ident: b4 article-title: The contribution of energy consumption to climate change: A feasible policy direction publication-title: Int. J. Energy Econ. Policy – volume: 137 year: 2019 ident: b11 article-title: An energy-efficient single machine scheduling problem with machine reliability constraints publication-title: Comput. Ind. Eng. – volume: 45 start-page: 4247 year: 2007 end-page: 4271 ident: b47 article-title: Operational methods for minimization of energy consumption of manufacturing equipment publication-title: Int. J. Prod. Res. – volume: 216 start-page: 12 year: 2019 end-page: 22 ident: b43 article-title: Job-shop scheduling problem with energy consideration publication-title: Int. J. Prod. Econ. – volume: 108 start-page: 256 year: 2015 end-page: 270 ident: b51 article-title: Econological scheduling of a manufacturing enterprise operating under a time-of-use electricity tariff publication-title: J. Cleaner Prod. – volume: 175 start-page: 40 year: 2016 end-page: 53 ident: b54 article-title: Critical peak electricity pricing for sustainable manufacturing: Modeling and case studies publication-title: Appl. Energy – volume: 146 start-page: 423 year: 2013 end-page: 439 ident: b41 article-title: Hybrid flow shop scheduling considering machine electricity consumption cost publication-title: Int. J. Prod. Econ. – volume: 132 start-page: 260 year: 2019 end-page: 270 ident: b38 article-title: Energy efficient production planning and scheduling problem with processing technology selection publication-title: Comput. Ind. Eng. – volume: 58 start-page: 2283 year: 2020 end-page: 2314 ident: b55 article-title: An energy-efficient two-stage hybrid flow shop scheduling problem in a glass production publication-title: Int. J. Prod. Res. – volume: 113 start-page: 508 year: 2016 end-page: 522 ident: b24 article-title: A generic method for energy-efficient and energy-cost-effective production at the unit process level publication-title: J. Cleaner Prod. – volume: 40 start-page: 2970 year: 2013 end-page: 2974 ident: b30 article-title: Minimizing resource consumption on uniform parallel machines with a bound on makespan publication-title: Comput. Oper. Res. – volume: 99 start-page: 74 year: 2006 end-page: 87 ident: b53 article-title: Scheduling issues for environmentally responsible manufacturing: The case of hoist scheduling in an electroplating line publication-title: Int. J. Prod. Econ. – volume: 9 start-page: 215 year: 2021 end-page: 227 ident: b6 article-title: Flow shop scheduling under Time-Of-Use electricity tariffs using fuzzy multi-objective linear programming approach publication-title: J. Math. Model. – year: 2006 ident: b19 article-title: Data collection framework on energy consumption in manufacturing – start-page: 1 year: 2018 end-page: 16 ident: b32 article-title: An improved multi-objective evolutionary algorithm based on decomposition for energy-efficient permutation flow shop scheduling problem with sequence-dependent setup time publication-title: Int. J. Prod. Res. – volume: 112 start-page: 3361 year: 2016 end-page: 3375 ident: b60 article-title: Solving the energy-efficient job shop scheduling problem: A multi-objective genetic algorithm with enhanced local search for minimizing the total weighted tardiness and total energy consumption publication-title: J. Cleaner Prod. – volume: 11 start-page: 22 year: 2014 end-page: 30 ident: b23 article-title: Demand side management in smart grid: A review and proposals for future direction publication-title: Sustainable Cities Soc. – volume: 29 start-page: 143 year: 2018 end-page: 154 ident: b48 article-title: A two-stage greedy heuristic for a flowshop scheduling problem under time-of-use electricity tariffs publication-title: South Afr. J. Ind. Eng. – volume: 248 start-page: 772 year: 2016 end-page: 788 ident: b42 article-title: Green scheduling of a two-machine flowshop: Trade-off between makespan and energy consumption publication-title: European J. Oper. Res. – volume: 274 start-page: 900 year: 2019 end-page: 908 ident: b12 article-title: Scheduling with time-of-use costs publication-title: European J. Oper. Res. – volume: 209 start-page: 1078 year: 2019 end-page: 1094 ident: b25 article-title: Energy-and labor-aware flexible job shop scheduling under dynamic electricity pricing: A many-objective optimization investigation publication-title: J. Cleaner Prod. – volume: 204 year: 2020 ident: 10.1016/j.cor.2022.105788_b58 article-title: Multi-objective optimization based on decomposition for flexible job shop scheduling under time-of-use electricity prices publication-title: Knowl.-Based Syst. – volume: 125 year: 2021 ident: 10.1016/j.cor.2022.105788_b17 article-title: Energy aware scheduling in flexible flow shops with hybrid particle swarm optimization publication-title: Comput. Oper. Res. doi: 10.1016/j.cor.2020.105088 – volume: 216 start-page: 12 year: 2019 ident: 10.1016/j.cor.2022.105788_b43 article-title: Job-shop scheduling problem with energy consideration publication-title: Int. J. Prod. Econ. doi: 10.1016/j.ijpe.2019.03.021 – year: 2018 ident: 10.1016/j.cor.2022.105788_b10 – volume: 57 start-page: 1756 issue: 6 year: 2019 ident: 10.1016/j.cor.2022.105788_b33 article-title: An improved multi-objective evolutionary algorithm based on decomposition for energy-efficient permutation flow shop scheduling problem with sequence-dependent setup time publication-title: Int. J. Prod. Res. doi: 10.1080/00207543.2018.1504251 – volume: 40 start-page: 2970 issue: 12 year: 2013 ident: 10.1016/j.cor.2022.105788_b30 article-title: Minimizing resource consumption on uniform parallel machines with a bound on makespan publication-title: Comput. Oper. Res. doi: 10.1016/j.cor.2013.06.011 – start-page: 1 year: 2018 ident: 10.1016/j.cor.2022.105788_b32 article-title: An improved multi-objective evolutionary algorithm based on decomposition for energy-efficient permutation flow shop scheduling problem with sequence-dependent setup time publication-title: Int. J. Prod. Res. – volume: 6 year: 2019 ident: 10.1016/j.cor.2022.105788_b3 article-title: Complexity analysis of energy-efficient single machine scheduling problems publication-title: Oper. Res. Perspect. – volume: 54 start-page: 218 year: 2015 ident: 10.1016/j.cor.2022.105788_b49 article-title: Energy-oriented scheduling based on evolutionary algorithms publication-title: Comput. Oper. Res. doi: 10.1016/j.cor.2014.05.002 – volume: 26 start-page: 911 issue: 5 year: 2015 ident: 10.1016/j.cor.2022.105788_b37 article-title: A quantitative approach to analyze carbon emissions of CNC-based machining systems publication-title: J. Intell. Manuf. doi: 10.1007/s10845-013-0812-4 – volume: 58 start-page: 2283 issue: 8 year: 2020 ident: 10.1016/j.cor.2022.105788_b55 article-title: An energy-efficient two-stage hybrid flow shop scheduling problem in a glass production publication-title: Int. J. Prod. Res. doi: 10.1080/00207543.2019.1624857 – volume: 113 start-page: 508 year: 2016 ident: 10.1016/j.cor.2022.105788_b24 article-title: A generic method for energy-efficient and energy-cost-effective production at the unit process level publication-title: J. Cleaner Prod. doi: 10.1016/j.jclepro.2015.09.020 – volume: 67 start-page: 197 year: 2014 ident: 10.1016/j.cor.2022.105788_b52 article-title: Optimizing the production scheduling of a single machine to minimize total energy consumption costs publication-title: J. Cleaner Prod. doi: 10.1016/j.jclepro.2013.12.024 – volume: 156 year: 2021 ident: 10.1016/j.cor.2022.105788_b35 article-title: Energy-efficient rescheduling with time-of-use energy cost: Application of variable neighborhood search algorithm publication-title: Comput. Ind. Eng. doi: 10.1016/j.cie.2021.107286 – volume: 29 start-page: 418 issue: 5 year: 2013 ident: 10.1016/j.cor.2022.105788_b16 article-title: Energy-efficient scheduling for a flexible flow shop using an improved genetic-simulated annealing algorithm publication-title: Robot. Comput.-Integr. Manuf. doi: 10.1016/j.rcim.2013.04.001 – volume: 29 start-page: 143 issue: 1 year: 2018 ident: 10.1016/j.cor.2022.105788_b48 article-title: A two-stage greedy heuristic for a flowshop scheduling problem under time-of-use electricity tariffs publication-title: South Afr. J. Ind. Eng. – volume: 248 start-page: 772 issue: 3 year: 2016 ident: 10.1016/j.cor.2022.105788_b42 article-title: Green scheduling of a two-machine flowshop: Trade-off between makespan and energy consumption publication-title: European J. Oper. Res. doi: 10.1016/j.ejor.2015.08.064 – volume: 132 start-page: 260 year: 2019 ident: 10.1016/j.cor.2022.105788_b38 article-title: Energy efficient production planning and scheduling problem with processing technology selection publication-title: Comput. Ind. Eng. doi: 10.1016/j.cie.2019.04.042 – volume: 78 start-page: 1989 issue: 11 year: 2008 ident: 10.1016/j.cor.2022.105788_b5 article-title: A summary of demand response in electricity markets publication-title: Electr. Power Syst. Res. doi: 10.1016/j.epsr.2008.04.002 – volume: 90 start-page: 1315 issue: 9 year: 2020 ident: 10.1016/j.cor.2022.105788_b50 article-title: Multi-objective hybrid flow shop scheduling with variable discrete production speed levels and time-of-use energy prices publication-title: Z. Betriebswirtschaft doi: 10.1007/s11573-020-00971-5 – volume: 99 start-page: 74 issue: 1–2 year: 2006 ident: 10.1016/j.cor.2022.105788_b53 article-title: Scheduling issues for environmentally responsible manufacturing: The case of hoist scheduling in an electroplating line publication-title: Int. J. Prod. Econ. doi: 10.1016/j.ijpe.2004.12.008 – volume: 274 start-page: 900 issue: 3 year: 2019 ident: 10.1016/j.cor.2022.105788_b12 article-title: Scheduling with time-of-use costs publication-title: European J. Oper. Res. doi: 10.1016/j.ejor.2018.11.002 – volume: 9 start-page: 215 issue: 2 year: 2021 ident: 10.1016/j.cor.2022.105788_b6 article-title: Flow shop scheduling under Time-Of-Use electricity tariffs using fuzzy multi-objective linear programming approach publication-title: J. Math. Model. – start-page: 287 year: 1979 ident: 10.1016/j.cor.2022.105788_b27 article-title: Optimization and approximation in deterministic sequencing and scheduling: a survey doi: 10.1016/S0167-5060(08)70356-X – volume: 1 start-page: 61 issue: 1 year: 1954 ident: 10.1016/j.cor.2022.105788_b34 article-title: Optimal two-and three-stage production schedules with setup times included publication-title: Nav. Res. Logist. Q. doi: 10.1002/nav.3800010110 – volume: 96 start-page: 55 year: 2018 ident: 10.1016/j.cor.2022.105788_b64 article-title: A multi-objective differential evolution algorithm for parallel batch processing machine scheduling considering electricity consumption cost publication-title: Comput. Oper. Res. doi: 10.1016/j.cor.2018.04.009 – volume: 146 start-page: 423 issue: 2 year: 2013 ident: 10.1016/j.cor.2022.105788_b41 article-title: Hybrid flow shop scheduling considering machine electricity consumption cost publication-title: Int. J. Prod. Econ. doi: 10.1016/j.ijpe.2013.01.028 – volume: 85 start-page: 172 year: 2017 ident: 10.1016/j.cor.2022.105788_b9 article-title: Energy-efficient bi-objective single-machine scheduling with power-down mechanism publication-title: Comput. Oper. Res. doi: 10.1016/j.cor.2017.04.004 – volume: 179 start-page: 259 year: 2016 ident: 10.1016/j.cor.2022.105788_b39 article-title: A multi-objective genetic algorithm for optimisation of energy consumption and shop floor production performance publication-title: Int. J. Prod. Econ. doi: 10.1016/j.ijpe.2016.06.019 – volume: 56 start-page: 5558 issue: 16 year: 2018 ident: 10.1016/j.cor.2022.105788_b2 article-title: Production scheduling optimisation with machine state and time-dependent energy costs publication-title: Int. J. Prod. Res. doi: 10.1080/00207543.2017.1414969 – volume: 53 start-page: 7071 issue: 23 year: 2015 ident: 10.1016/j.cor.2022.105788_b44 article-title: Multi-objective genetic algorithm for energy-efficient job shop scheduling publication-title: Int. J. Prod. Res. doi: 10.1080/00207543.2015.1005248 – volume: 137 year: 2019 ident: 10.1016/j.cor.2022.105788_b11 article-title: An energy-efficient single machine scheduling problem with machine reliability constraints publication-title: Comput. Ind. Eng. doi: 10.1016/j.cie.2019.106072 – volume: 131 start-page: 41 year: 2019 ident: 10.1016/j.cor.2022.105788_b31 article-title: Multi-objective energy-aware batch scheduling using ant colony optimization algorithm publication-title: Comput. Ind. Eng. doi: 10.1016/j.cie.2019.03.033 – volume: 108 start-page: 256 year: 2015 ident: 10.1016/j.cor.2022.105788_b51 article-title: Econological scheduling of a manufacturing enterprise operating under a time-of-use electricity tariff publication-title: J. Cleaner Prod. doi: 10.1016/j.jclepro.2015.06.002 – start-page: 1 year: 2019 ident: 10.1016/j.cor.2022.105788_b63 article-title: Energy-efficient scheduling for multi-objective two-stage flow shop using a hybrid ant colony optimisation algorithm publication-title: Int. J. Prod. Res. – year: 2006 ident: 10.1016/j.cor.2022.105788_b19 – year: 2016 ident: 10.1016/j.cor.2022.105788_b13 – volume: 64 start-page: 224 issue: 1 year: 2013 ident: 10.1016/j.cor.2022.105788_b20 article-title: Parallel-machine scheduling to minimize tardiness penalty and power cost publication-title: Comput. Ind. Eng. doi: 10.1016/j.cie.2012.10.002 – volume: 96 start-page: 33 issue: 1 year: 2003 ident: 10.1016/j.cor.2022.105788_b28 article-title: Logic-based Benders decomposition publication-title: Math. Program. doi: 10.1007/s10107-003-0375-9 – volume: 61 start-page: 387 year: 2017 ident: 10.1016/j.cor.2022.105788_b26 article-title: Energy-and labor-aware production scheduling for sustainable manufacturing: A case study on plastic bottle manufacturing publication-title: Procedia CIRP doi: 10.1016/j.procir.2016.11.136 – volume: 11 start-page: 22 year: 2014 ident: 10.1016/j.cor.2022.105788_b23 article-title: Demand side management in smart grid: A review and proposals for future direction publication-title: Sustainable Cities Soc. doi: 10.1016/j.scs.2013.11.001 – volume: 32 start-page: 91 issue: 1 year: 2021 ident: 10.1016/j.cor.2022.105788_b62 article-title: Two-stage parallel speed-scaling machine scheduling under time-of-use tariffs publication-title: J. Intell. Manuf. doi: 10.1007/s10845-020-01561-6 – volume: 1 start-page: 1 issue: 1 year: 2012 ident: 10.1016/j.cor.2022.105788_b15 article-title: Electricity demand side management: Various concept and prospects publication-title: Int. J. Recent Technol. Eng. (IJRTE) – volume: 135 start-page: 1004 year: 2019 ident: 10.1016/j.cor.2022.105788_b59 article-title: The flexible job-shop scheduling problem considering deterioration effect and energy consumption simultaneously publication-title: Comput. Ind. Eng. doi: 10.1016/j.cie.2019.06.048 – year: 2019 ident: 10.1016/j.cor.2022.105788_b29 – volume: 136 start-page: 325 year: 2019 ident: 10.1016/j.cor.2022.105788_b61 article-title: A multiobjective evolutionary algorithm based on decomposition for hybrid flowshop green scheduling problem publication-title: Comput. Ind. Eng. doi: 10.1016/j.cie.2019.07.036 – volume: 112 start-page: 3361 year: 2016 ident: 10.1016/j.cor.2022.105788_b60 article-title: Solving the energy-efficient job shop scheduling problem: A multi-objective genetic algorithm with enhanced local search for minimizing the total weighted tardiness and total energy consumption publication-title: J. Cleaner Prod. doi: 10.1016/j.jclepro.2015.09.097 – volume: 139 start-page: 321 issue: 1 year: 2012 ident: 10.1016/j.cor.2022.105788_b36 article-title: Bi-criteria scheduling with machine assignment costs publication-title: Int. J. Prod. Econ. doi: 10.1016/j.ijpe.2012.05.016 – volume: 104 start-page: 339 year: 2017 ident: 10.1016/j.cor.2022.105788_b46 article-title: An energy-efficient multi-objective optimization for flexible job-shop scheduling problem publication-title: Comput. Chem. Eng. doi: 10.1016/j.compchemeng.2017.05.004 – volume: 4 start-page: 238 issue: 1 year: 1962 ident: 10.1016/j.cor.2022.105788_b7 article-title: Partitioning procedures for solving mixed-variables programming problems publication-title: Numer. Math. doi: 10.1007/BF01386316 – volume: 112 start-page: 391 year: 2017 ident: 10.1016/j.cor.2022.105788_b45 article-title: Algorithms for robust production scheduling with energy consumption limits publication-title: Comput. Ind. Eng. doi: 10.1016/j.cie.2017.08.011 – volume: 193 start-page: 424 year: 2018 ident: 10.1016/j.cor.2022.105788_b56 article-title: Bi-objective identical parallel machine scheduling to minimize total energy consumption and makespan publication-title: J. Cleaner Prod. doi: 10.1016/j.jclepro.2018.05.056 – volume: 51 start-page: 1053 issue: 11 year: 2018 ident: 10.1016/j.cor.2022.105788_b1 article-title: Energy efficient scheduling problems under Time-Of-Use tariffs with different energy consumption of the jobs publication-title: IFAC-PapersOnLine doi: 10.1016/j.ifacol.2018.08.468 – volume: 238 start-page: 199 issue: 1–2 year: 2016 ident: 10.1016/j.cor.2022.105788_b22 article-title: Scheduling on a single machine under time-of-use electricity tariffs publication-title: Ann. Oper. Res. doi: 10.1007/s10479-015-2003-5 – volume: 209 start-page: 1078 year: 2019 ident: 10.1016/j.cor.2022.105788_b25 article-title: Energy-and labor-aware flexible job shop scheduling under dynamic electricity pricing: A many-objective optimization investigation publication-title: J. Cleaner Prod. doi: 10.1016/j.jclepro.2018.10.289 – volume: 2 start-page: 21 issue: 1 year: 2012 ident: 10.1016/j.cor.2022.105788_b4 article-title: The contribution of energy consumption to climate change: A feasible policy direction publication-title: Int. J. Energy Econ. Policy – volume: 206 start-page: 115 issue: 1 year: 2013 ident: 10.1016/j.cor.2022.105788_b21 article-title: Flow shop scheduling with peak power consumption constraints publication-title: Ann. Oper. Res. doi: 10.1007/s10479-012-1294-z – start-page: 1 year: 2007 ident: 10.1016/j.cor.2022.105788_b8 – volume: 55 start-page: 3073 issue: 11 year: 2017 ident: 10.1016/j.cor.2022.105788_b40 article-title: A three-stage decomposition approach for energy-aware scheduling with processing-time-dependent product quality publication-title: Int. J. Prod. Res. doi: 10.1080/00207543.2016.1241446 – volume: 151 year: 2021 ident: 10.1016/j.cor.2022.105788_b14 article-title: Energy-aware operations management for flow shops under TOU electricity tariff publication-title: Comput. Ind. Eng. doi: 10.1016/j.cie.2020.106942 – volume: 56 start-page: 3173 issue: 9 year: 2018 ident: 10.1016/j.cor.2022.105788_b57 article-title: Scheduling on a two-machine permutation flow shop under time-of-use electricity tariffs publication-title: Int. J. Prod. Res. doi: 10.1080/00207543.2017.1401236 – volume: 13 start-page: 1138 issue: 2 year: 2015 ident: 10.1016/j.cor.2022.105788_b18 article-title: Parallel machine scheduling under time-of-use electricity prices: New models and optimization approaches publication-title: IEEE Trans. Autom. Sci. Eng. doi: 10.1109/TASE.2015.2495328 – volume: 45 start-page: 4247 issue: 18–19 year: 2007 ident: 10.1016/j.cor.2022.105788_b47 article-title: Operational methods for minimization of energy consumption of manufacturing equipment publication-title: Int. J. Prod. Res. doi: 10.1080/00207540701450013 – volume: 175 start-page: 40 year: 2016 ident: 10.1016/j.cor.2022.105788_b54 article-title: Critical peak electricity pricing for sustainable manufacturing: Modeling and case studies publication-title: Appl. Energy doi: 10.1016/j.apenergy.2016.04.100 |
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| SubjectTerms | Benders decomposition Computer Science Dynamic programming Electricity cost Flow shop Integer programming Job shop scheduling Job shops Linear programming Mixed integer Operations Research Optimization Permutations Scheduling Tariffs Time of use electricity pricing Time of use tariff |
| Title | Exact method to optimize the total electricity cost in two-machine permutation flow shop scheduling problem under Time-of-use tariff |
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