Computational experiment-aided prescriptive decision-making for complex supply chains: A case of multi-generation smartphone marketing
•This study proposes a computational experiment-aided prescriptive decision-making framework.•The framework predicts multivariate emergences and exploits emergence diversity.•The proposed framework enables optimal prescriptions with improved solution stability.•A case study shows the framework can e...
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| Veröffentlicht in: | Expert systems with applications Jg. 228; S. 120451 |
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| Hauptverfasser: | , , , , , |
| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
Elsevier Ltd
15.10.2023
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| ISSN: | 0957-4174, 1873-6793 |
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| Abstract | •This study proposes a computational experiment-aided prescriptive decision-making framework.•The framework predicts multivariate emergences and exploits emergence diversity.•The proposed framework enables optimal prescriptions with improved solution stability.•A case study shows the framework can exploit multivariate performances and obtain prescriptions.
A supply chain is a complex multivariate evolutionary system that challenges traditional decision-making paradigms and calls for new decision-making frameworks which can comprehensively support multivariate potential emergence prediction and further extend the decision-making from prediction to prescription. To fill these methodological gaps, a computational experiment-aided prescriptive decision-making framework was proposed for the analysis of complex supply chain evolution. The proposed framework enables the exploration of multivariate emergences for solution optimization in a closed-loop interactive iteration between computational experiments and evolutionary multi-objective algorithms. This framework enhances the solution stability behind multivariate emergences and can support Pareto-optimal solution selection based on a multi-criteria decision-analysis approach. A case study of multi-generation smartphone marketing was then conducted to validate the proposed framework and illustrate its applicability. Results indicate that the proposed framework can (i) bridge the complex nonfunctional relationships between impact factors and objectives for marketing prediction; and (ii) exploit the multivariate marketing performances within these relationships to make optimal prescriptions after the closed-loop interactive iterations. This framework enables managers to obtain Pareto-optimal solution prescriptions with improved solution stability surpassing those of traditional prediction. |
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| AbstractList | •This study proposes a computational experiment-aided prescriptive decision-making framework.•The framework predicts multivariate emergences and exploits emergence diversity.•The proposed framework enables optimal prescriptions with improved solution stability.•A case study shows the framework can exploit multivariate performances and obtain prescriptions.
A supply chain is a complex multivariate evolutionary system that challenges traditional decision-making paradigms and calls for new decision-making frameworks which can comprehensively support multivariate potential emergence prediction and further extend the decision-making from prediction to prescription. To fill these methodological gaps, a computational experiment-aided prescriptive decision-making framework was proposed for the analysis of complex supply chain evolution. The proposed framework enables the exploration of multivariate emergences for solution optimization in a closed-loop interactive iteration between computational experiments and evolutionary multi-objective algorithms. This framework enhances the solution stability behind multivariate emergences and can support Pareto-optimal solution selection based on a multi-criteria decision-analysis approach. A case study of multi-generation smartphone marketing was then conducted to validate the proposed framework and illustrate its applicability. Results indicate that the proposed framework can (i) bridge the complex nonfunctional relationships between impact factors and objectives for marketing prediction; and (ii) exploit the multivariate marketing performances within these relationships to make optimal prescriptions after the closed-loop interactive iterations. This framework enables managers to obtain Pareto-optimal solution prescriptions with improved solution stability surpassing those of traditional prediction. |
| ArticleNumber | 120451 |
| Author | Chen, Yingni Wang, Yongheng Long, Qingqi Xu, Le Zhang, Shuzhu Peng, Juanjuan |
| Author_xml | – sequence: 1 givenname: Qingqi surname: Long fullname: Long, Qingqi email: longqingqi1116@163.com organization: School of Information Management and Artificial Intelligence, Zhejiang University of Finance and Economics, Hangzhou 310018, China – sequence: 2 givenname: Yingni orcidid: 0000-0002-7681-7389 surname: Chen fullname: Chen, Yingni email: yingni_chen12@163.com organization: School of Information Management and Artificial Intelligence, Zhejiang University of Finance and Economics, Hangzhou 310018, China – sequence: 3 givenname: Yongheng surname: Wang fullname: Wang, Yongheng email: wangyh@zhejianglab.com organization: Big Data Intelligence Research Center of Zhejiang Lab, Hangzhou 311121, China – sequence: 4 givenname: Le surname: Xu fullname: Xu, Le email: claire_ovo@qq.com organization: School of Information Management and Artificial Intelligence, Zhejiang University of Finance and Economics, Hangzhou 310018, China – sequence: 5 givenname: Shuzhu surname: Zhang fullname: Zhang, Shuzhu email: shuzhu.zhang@connect.polyu.hk organization: School of Information Management and Artificial Intelligence, Zhejiang University of Finance and Economics, Hangzhou 310018, China – sequence: 6 givenname: Juanjuan surname: Peng fullname: Peng, Juanjuan email: pengjj81@zufe.edu.cn organization: School of Information Management and Artificial Intelligence, Zhejiang University of Finance and Economics, Hangzhou 310018, China |
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| Cites_doi | 10.1016/j.eswa.2021.115696 10.1109/TSC.2016.2638083 10.1016/j.cie.2019.04.054 10.1109/TEVC.2013.2281534 10.1016/j.eswa.2018.09.048 10.1109/WSC.2015.7408297 10.1109/TCSS.2018.2865526 10.1016/j.eswa.2008.10.081 10.1016/j.eswa.2014.10.036 10.1007/s00500-021-05761-x 10.1109/TEVC.2004.826067 10.1016/j.future.2018.08.028 10.1016/j.eswa.2015.11.007 10.1016/j.ins.2016.09.003 10.1016/j.ejor.2021.08.040 10.1111/poms.13331 10.1016/j.eswa.2020.114451 10.1016/j.eswa.2016.09.034 10.1109/TII.2018.2871167 10.1016/j.ins.2014.08.068 10.1007/s10489-021-02944-9 10.1016/j.cie.2018.07.048 10.1016/j.ijpe.2010.07.022 10.1109/TEVC.2018.2869001 10.1007/s40815-020-00979-7 10.1287/mnsc.1120.1529 10.1080/00207543.2017.1355118 10.1287/mnsc.2017.2877 10.1016/j.asoc.2018.04.006 10.1016/j.jclepro.2018.09.235 10.1111/jbl.12271 10.1287/msom.2019.0805 10.1016/j.cie.2020.106870 10.1016/j.tre.2018.02.006 10.1016/j.jom.2018.11.003 10.1109/WSC.2010.5679174 10.1162/evco.1994.2.3.221 10.1016/j.ins.2009.09.014 10.1109/TCSS.2017.2782008 10.1016/j.apenergy.2019.03.048 10.1016/j.simpat.2021.102403 10.1016/S0272-6963(00)00068-1 10.1109/TEVC.2013.2281535 10.1016/j.ijpe.2020.107851 10.1016/j.ins.2014.03.051 10.1016/j.eswa.2022.119075 10.1016/j.omega.2017.08.016 10.1016/j.ins.2017.03.008 10.1016/j.eswa.2020.113183 10.1007/s00500-021-05711-7 10.1016/j.jretai.2009.05.009 10.1016/j.eswa.2014.01.001 10.1016/j.energy.2017.02.174 10.1080/00207543.2020.1715505 10.1109/4235.996017 10.1109/TSC.2016.2569082 10.1016/j.rcim.2015.12.008 10.1109/TEVC.2016.2587749 10.1016/j.jclepro.2014.05.032 10.1111/poms.12945 10.1016/j.omega.2016.09.007 10.1287/mnsc.1100.1303 10.1016/j.eswa.2021.114745 10.1080/10438599.2019.1628509 10.1016/j.jclepro.2019.118984 10.1111/j.1745-493X.2009.03171.x |
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| Keywords | Supply chain Computational experiment Evolutionary multi-objective algorithm Entropy-TOPSIS Prescriptive decision-making Multivariate evolution |
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| References | Chilmon, Tipi (b0065) 2020; 150 dos Santos, Godoy, Campos (b0105) 2019; 207 Noordhoek, Dullaert, Lai, de Leeuw (b0225) 2018; 114 Wang (b0305) 2004; 16 Zheng, Bao, Xu, Tan (b0370) 2022; 299 Srinivas, Deb (b0270) 1994; 2 Law, A. M. (2015). Statistical analysis of simulation output data: The practical state of the art. Frazzon, Albrecht, Pires, Israel, Kück, Freitag (b0115) 2018; 56 Liu, Liu, Tan (b0190) 2023; 214 Choi, Dooley, Rungtusanatham (b0080) 2001; 19 Bhatia, Gülpınar, Aydın (b0035) 2020; 230 Ishibuchi, Setoguchi, Masuda, Nojima (b0140) 2017; 21 Pathak, Dilts, Mahadevan (b0240) 2009; 45 Xue, Wang, Gui, Hou (b0345) 2016; 373 Jiang, Hu, Wang (b0150) 2010; 180 Wieland, Durach (b0325) 2021; 42 Xie, Xie, Lu, Yan (b0330) 2020; 30 Coello, Pulido, Lechuga (b0085) 2004; 8 Tsai, Chen (b0300) 2017; 70 Zhang, Yousaf (b0365) 2020; 246 Wang, Wang, Ye, Yuan, Liu, Wang (b0315) 2018; 5 Chen, Yi, Zhang, Wang (b0055) 2018; 68 Law, A. M. (2010). Statistical analysis of simulation output data: The practical state of the art. Hans (b0135) 1988; 19 Pasandideh, Niaki, Asadi (b0235) 2015; 292 Soares do Amaral, J. V., Montevechi, J. A. B., Miranda, R. d. C., Junior, W. T. d. S. (2022). Metamodel-based simulation optimization: A systematic literature review. Chandrasekaran, Linderman, Sting (b0045) 2018; 63 (Society for Computer Simulation International), 65-74. Luo, Whitney (b0215) 2019; 28 Taghdisian, Pishvaie, Farhadi (b0275) 2015; 103 , Cui, Geng, Zhu, Han (b0090) 2017; 125 Pan, Leung, Moon, Yeung (b0230) 2009; 36 114, 102403. Deb, Jain (b0095) 2014; 18 Robles, Chica, Cordon (b0245) 2020; 147 Chien, Chen, Peng (b0060) 2010; 128 López-Sánchez, Sánchez-Oro, Laguna (b0195) 2020; 33 Ju, Ju, Santibanez Gonzalez, Giannakis, Wang (b0170) 2019; 135 Tang, Shi, Dong (b0280) 2019; 117 Feng, Yu (b0110) 2019; 29 Halawa, Chalil Madathil, Khasawneh (b0130) 2021; 185 Wang, Wang, Wang, Qiu, Yuan, Ouyang, Wang (b0310) 2018; 5 Backs, Jahnke, Lüpke, Stücken, Stummer (b0025) 2020 Jiang, Jain (b0160) 2012; 58 Jin, Wang, Chugh, Guo, Miettinen (b0165) 2019; 23 Tavana, Li, Mobin, Komaki, Teymourian (b0285) 2016; 50 Adediran, Al-Bazi, dos Santos (b0005) 2019; 133 Chambari, Azimi, Najafi (b0070) 2021; 173 Avci, Selim (b0010) 2017; 67 Jain, Deb (b0145) 2014; 18 Wang, Chen, Tao, Wen, Chen, Zhang (b0320) 2019; 242 Avci, Selim (b0015) 2018; 80 Badakhshan, Humphreys, Maguire, McIvor (b0030) 2020; 58 Mišić, Perakis (b0220) 2020; 22 Long (b0200) 2014; 41 Goodarzian, Kumar, Abraham (b0125) 2021; 25 Teerasoponpong, Sopadang (b0290) 2021; 168 Yu, Khan (b0360) 2022; 24 Jiang, Ma, Shang, Chau (b0155) 2014; 278 Zhou, Ma, Cao, Lee, Chew (b0375) 2021 Xue, Kou, Wang, Liu (b0340) 2018; 11 Tirkolaee, Sadeghi, Mooseloo, Vandchali, Aeini (b0295) 2021; 1476043 Cachon, Swinney (b0040) 2011; 57 (Society for Computer Simulation International), 1810-1819. Long (b0210) 2017; 399 Xue, Wang, Zhang, Feng, Guo (b0355) 2019; 15 Ge, Messinger, Li (b0120) 2009; 85 Xue, Wang, Zhang, Feng (b0350) 2019; 91 Long (b0205) 2015; 42 Sheng, Zhang (b0250) 2011; 14 Sinha, Anand (b0255) 2021; 25 Deb, Pratap, Agarwal, Meyarivan (b0100) 2002; 6 Xue, Han, Wang, Qin (b0335) 2019; 12 Chankong, Haimes (b0075) 1983 Smith, Rand (b0260) 2018; 64 Chávez, Castillo-Villar, Herrera, Bustos (b0050) 2017; 43 Babaeinesami, Tohidi, Ghasemi, Goodarzian, Tirkolaee (b0020) 2022 Robles (10.1016/j.eswa.2023.120451_b0245) 2020; 147 Pathak (10.1016/j.eswa.2023.120451_b0240) 2009; 45 Zhou (10.1016/j.eswa.2023.120451_b0375) 2021 Tsai (10.1016/j.eswa.2023.120451_b0300) 2017; 70 Tavana (10.1016/j.eswa.2023.120451_b0285) 2016; 50 Wang (10.1016/j.eswa.2023.120451_b0315) 2018; 5 Bhatia (10.1016/j.eswa.2023.120451_b0035) 2020; 230 Babaeinesami (10.1016/j.eswa.2023.120451_b0020) 2022 Jiang (10.1016/j.eswa.2023.120451_b0155) 2014; 278 Srinivas (10.1016/j.eswa.2023.120451_b0270) 1994; 2 Ju (10.1016/j.eswa.2023.120451_b0170) 2019; 135 Liu (10.1016/j.eswa.2023.120451_b0190) 2023; 214 Wang (10.1016/j.eswa.2023.120451_b0320) 2019; 242 Ge (10.1016/j.eswa.2023.120451_b0120) 2009; 85 Frazzon (10.1016/j.eswa.2023.120451_b0115) 2018; 56 Chankong (10.1016/j.eswa.2023.120451_b0075) 1983 Jiang (10.1016/j.eswa.2023.120451_b0160) 2012; 58 Xue (10.1016/j.eswa.2023.120451_b0350) 2019; 91 Xue (10.1016/j.eswa.2023.120451_b0345) 2016; 373 Adediran (10.1016/j.eswa.2023.120451_b0005) 2019; 133 dos Santos (10.1016/j.eswa.2023.120451_b0105) 2019; 207 Hans (10.1016/j.eswa.2023.120451_b0135) 1988; 19 Smith (10.1016/j.eswa.2023.120451_b0260) 2018; 64 Wieland (10.1016/j.eswa.2023.120451_b0325) 2021; 42 Chien (10.1016/j.eswa.2023.120451_b0060) 2010; 128 Mišić (10.1016/j.eswa.2023.120451_b0220) 2020; 22 Sinha (10.1016/j.eswa.2023.120451_b0255) 2021; 25 Luo (10.1016/j.eswa.2023.120451_b0215) 2019; 28 Sheng (10.1016/j.eswa.2023.120451_b0250) 2011; 14 Taghdisian (10.1016/j.eswa.2023.120451_b0275) 2015; 103 Wang (10.1016/j.eswa.2023.120451_b0305) 2004; 16 Avci (10.1016/j.eswa.2023.120451_b0015) 2018; 80 Chandrasekaran (10.1016/j.eswa.2023.120451_b0045) 2018; 63 Noordhoek (10.1016/j.eswa.2023.120451_b0225) 2018; 114 10.1016/j.eswa.2023.120451_b0180 Chen (10.1016/j.eswa.2023.120451_b0055) 2018; 68 Ishibuchi (10.1016/j.eswa.2023.120451_b0140) 2017; 21 10.1016/j.eswa.2023.120451_b0185 Xue (10.1016/j.eswa.2023.120451_b0335) 2019; 12 Pasandideh (10.1016/j.eswa.2023.120451_b0235) 2015; 292 Jain (10.1016/j.eswa.2023.120451_b0145) 2014; 18 10.1016/j.eswa.2023.120451_b0265 Jin (10.1016/j.eswa.2023.120451_b0165) 2019; 23 Chambari (10.1016/j.eswa.2023.120451_b0070) 2021; 173 Halawa (10.1016/j.eswa.2023.120451_b0130) 2021; 185 Jiang (10.1016/j.eswa.2023.120451_b0150) 2010; 180 Feng (10.1016/j.eswa.2023.120451_b0110) 2019; 29 Avci (10.1016/j.eswa.2023.120451_b0010) 2017; 67 Long (10.1016/j.eswa.2023.120451_b0200) 2014; 41 Tang (10.1016/j.eswa.2023.120451_b0280) 2019; 117 Deb (10.1016/j.eswa.2023.120451_b0100) 2002; 6 Zhang (10.1016/j.eswa.2023.120451_b0365) 2020; 246 Long (10.1016/j.eswa.2023.120451_b0210) 2017; 399 Xue (10.1016/j.eswa.2023.120451_b0355) 2019; 15 Deb (10.1016/j.eswa.2023.120451_b0095) 2014; 18 Teerasoponpong (10.1016/j.eswa.2023.120451_b0290) 2021; 168 Cui (10.1016/j.eswa.2023.120451_b0090) 2017; 125 Backs (10.1016/j.eswa.2023.120451_b0025) 2020 Chilmon (10.1016/j.eswa.2023.120451_b0065) 2020; 150 Choi (10.1016/j.eswa.2023.120451_b0080) 2001; 19 Xie (10.1016/j.eswa.2023.120451_b0330) 2020; 30 Coello (10.1016/j.eswa.2023.120451_b0085) 2004; 8 Yu (10.1016/j.eswa.2023.120451_b0360) 2022; 24 Cachon (10.1016/j.eswa.2023.120451_b0040) 2011; 57 Chávez (10.1016/j.eswa.2023.120451_b0050) 2017; 43 Long (10.1016/j.eswa.2023.120451_b0205) 2015; 42 Badakhshan (10.1016/j.eswa.2023.120451_b0030) 2020; 58 Goodarzian (10.1016/j.eswa.2023.120451_b0125) 2021; 25 Tirkolaee (10.1016/j.eswa.2023.120451_b0295) 2021; 1476043 Xue (10.1016/j.eswa.2023.120451_b0340) 2018; 11 López-Sánchez (10.1016/j.eswa.2023.120451_b0195) 2020; 33 Zheng (10.1016/j.eswa.2023.120451_b0370) 2022; 299 Wang (10.1016/j.eswa.2023.120451_b0310) 2018; 5 Pan (10.1016/j.eswa.2023.120451_b0230) 2009; 36 |
| References_xml | – volume: 67 start-page: 95 year: 2017 end-page: 106 ident: b0010 article-title: A multi-objective, simulation-based optimization framework for supply chains with premium freights publication-title: Expert Systems with Applications – volume: 43 start-page: 39 year: 2017 end-page: 49 ident: b0050 article-title: Simulation-based multi-objective model for supply chains with disruptions in transportation publication-title: Robotics and Computer-Integrated Manufacturing – reference: , 114, 102403. – volume: 399 start-page: 43 year: 2017 end-page: 63 ident: b0210 article-title: A framework for data-driven computational experiments of inter-organizational collaborations in supply chain networks publication-title: Information Sciences – volume: 45 start-page: 54 year: 2009 end-page: 57 ident: b0240 article-title: Investigating population and topological evolution in a complex adaptive Supply Network publication-title: Journal of Supply Chain Management – volume: 292 start-page: 57 year: 2015 end-page: 74 ident: b0235 article-title: Bi-objective optimization of a multi-product multi-period three-echelon supply chain problem under uncertain environments: NSGA-II and NRGA publication-title: Information Sciences – volume: 230 year: 2020 ident: b0035 article-title: Dynamic production-pricing strategies for multi-generation products under uncertainty publication-title: International Journal of Production Economics – volume: 80 start-page: 153 year: 2018 end-page: 165 ident: b0015 article-title: A multi-objective simulation-based optimization approach for inventory replenishment problem with premium freights in convergent supply chains publication-title: Omega – volume: 117 start-page: 204 year: 2019 end-page: 210 ident: b0280 article-title: Public blockchain evaluation using entropy and TOPSIS publication-title: Expert Systems with Applications – volume: 19 start-page: 309 year: 1988 end-page: 352 ident: b0135 article-title: Multicriteria optimization for highly accurate systems publication-title: Multicriteria Optimization in Engineering and Sciences – volume: 373 start-page: 269 year: 2016 end-page: 286 ident: b0345 article-title: A computational experiment-based evaluation method for context-aware services in complicated environment publication-title: Information Sciences – volume: 135 start-page: 1271 year: 2019 end-page: 1285 ident: b0170 article-title: Study of site selection of electric vehicle charging station based on extended GRP method under picture fuzzy environment publication-title: Computers & Industrial Engineering – volume: 70 start-page: 148 year: 2017 end-page: 159 ident: b0300 article-title: A simulation-based multi-objective optimization framework: A case study on inventory management publication-title: Omega – volume: 207 start-page: 498 year: 2019 end-page: 509 ident: b0105 article-title: Performance evaluation of green suppliers using entropy-TOPSIS-F publication-title: Journal of Cleaner Production – volume: 23 start-page: 442 year: 2019 end-page: 458 ident: b0165 article-title: Data-driven evolutionary optimization: An overview and case studies publication-title: IEEE Transactions on Evolutionary Computation – volume: 242 start-page: 46 year: 2019 end-page: 56 ident: b0320 article-title: A many-objective optimization of industrial environmental management using NSGA-III: A case of China’s iron and steel industry publication-title: Applied Energy – volume: 278 start-page: 250 year: 2014 end-page: 266 ident: b0155 article-title: Evolution of knowledge sharing behavior in social commerce: An agent-based computational approach publication-title: Information Sciences – reference: (Society for Computer Simulation International), 65-74. – volume: 299 start-page: 249 year: 2022 end-page: 262 ident: b0370 article-title: Biobjective robust simulation-based optimization for unconstrained problems publication-title: European Journal of Operational Research – year: 1983 ident: b0075 article-title: Multi-objective decision making theory and methodology – volume: 28 start-page: 668 year: 2019 end-page: 681 ident: b0215 article-title: The hierarchy-Niche model for supply networks publication-title: Production and Operations Management – reference: Soares do Amaral, J. V., Montevechi, J. A. B., Miranda, R. d. C., Junior, W. T. d. S. (2022). Metamodel-based simulation optimization: A systematic literature review. – start-page: 1 year: 2021 end-page: 39 ident: b0375 article-title: Classification and literature review on the integration of simulation and optimization in maritime logistics studies publication-title: IISE Transactions – volume: 5 start-page: 244 year: 2018 end-page: 255 ident: b0315 article-title: Parallel crime scene analysis based on ACP approach publication-title: IEEE Transactions on Computational Social Systems – volume: 246 year: 2020 ident: b0365 article-title: Green supply chain coordination considering government intervention, green investment, and customer green preferences in the petroleum industry publication-title: Journal of Cleaner Production – volume: 29 start-page: 349 year: 2019 end-page: 368 ident: b0110 article-title: Moore's law and price trends of digital products: The case of smartphones publication-title: Economics of Innovation and New Technology – volume: 30 start-page: 1442 year: 2020 end-page: 1456 ident: b0330 article-title: Performance-price-ratio utility: Market equilibrium analysis and empirical calibration studies publication-title: Production and Operations Management – volume: 58 start-page: 5253 year: 2020 end-page: 5279 ident: b0030 article-title: Using simulation-based system dynamics and genetic algorithms to reduce the cash flow bullwhip in the supply chain publication-title: International Journal of Production Research – volume: 18 start-page: 602 year: 2014 end-page: 622 ident: b0145 article-title: An evolutionary many-objective optimization algorithm using reference-point based non-dominated sorting approach, part II: Handling constraints and extending to an adaptive approach publication-title: IEEE Transactions on Evolutionary Computation – volume: 128 start-page: 496 year: 2010 end-page: 509 ident: b0060 article-title: Manufacturing intelligence for semiconductor demand forecast based on technology diffusion and product life cycle publication-title: International Journal of Production Economics – volume: 133 start-page: 29 year: 2019 end-page: 41 ident: b0005 article-title: Agent-based modelling and heuristic approach for solving complex OEM flow-shop productions under customer disruptions publication-title: Computers & Industrial Engineering – volume: 36 start-page: 8571 year: 2009 end-page: 8581 ident: b0230 article-title: Optimal reorder decision-making in the agent-based apparel supply chain publication-title: Expert Systems with Applications – volume: 25 start-page: 7527 year: 2021 end-page: 7557 ident: b0125 article-title: Hybrid meta-heuristic algorithms for a supply chain network considering different carbon emission regulations using big data characteristics publication-title: Soft Computing – volume: 33 start-page: 629 year: 2020 end-page: 642 ident: b0195 article-title: A new scatter search design for multiobjective combinatorial optimization with an application to facility location publication-title: Informs Journal on Computing – volume: 68 start-page: 322 year: 2018 end-page: 342 ident: b0055 article-title: Applications of multi-objective dimension-based firefly algorithm to optimize the power losses, emission, and cost in power systems publication-title: Applied Soft Computing – volume: 11 start-page: 369 year: 2018 end-page: 383 ident: b0340 article-title: Computational experiment research on the equalization-oriented service strategy in collaborative manufacturing publication-title: IEEE Transactions on Services Computing – volume: 6 start-page: 182 year: 2002 end-page: 197 ident: b0100 article-title: A fast and elitist multiobjective genetic algorithm: NSGA-II publication-title: IEEE Transactions on Evolutionary Computation – volume: 214 year: 2023 ident: b0190 article-title: Decision space partition based surrogate-assisted evolutionary algorithm for expensive optimization publication-title: Expert Systems with Applications – volume: 173 year: 2021 ident: b0070 article-title: A bi-objective simulation-based optimization algorithm for redundancy allocation problem in series-parallel systems publication-title: Expert Systems with Applications – year: 2022 ident: b0020 article-title: A closed-loop supply chain configuration considering environmental impacts: A self-adaptive NSGA-II algorithm publication-title: Applied Intelligence – reference: Law, A. M. (2010). Statistical analysis of simulation output data: The practical state of the art. – reference: , – volume: 2 start-page: 221 year: 1994 end-page: 248 ident: b0270 article-title: Multi-objective optimization using nondominated sorting in genetic algorithms publication-title: Evolutionary Computation – volume: 41 start-page: 4094 year: 2014 end-page: 4112 ident: b0200 article-title: An agent-based distributed computational experiment framework for virtual supply chain network development publication-title: Expert Systems with Applications – volume: 63 start-page: 1 year: 2018 end-page: 5 ident: b0045 article-title: Avoiding epistemological silos and empirical elephants in OM: How to combine empirical and simulation methods? publication-title: Journal of Operations Management – volume: 1476043 year: 2021 ident: b0295 article-title: Application of machine learning in supply chain management: A comprehensive overview of the main areas publication-title: Mathematical Problems in Engineering – volume: 25 start-page: 8371 year: 2021 end-page: 8389 ident: b0255 article-title: Development of a supply chain configuration model for new product development: A multi-objective solution approach publication-title: Soft Computing – volume: 150 year: 2020 ident: b0065 article-title: Modelling and simulation considerations for an end-to-end supply chain system publication-title: Computers & Industrial Engineering – volume: 21 start-page: 169 year: 2017 end-page: 190 ident: b0140 article-title: Performance of decomposition-based many-objective algorithms strongly depends on Pareto front shapes publication-title: IEEE Transactions on Evolutionary Computation – volume: 114 start-page: 292 year: 2018 end-page: 311 ident: b0225 article-title: A simulation–optimization approach for a service-constrained multi-echelon distribution network publication-title: Transportation Research Part E: Logistics and Transportation Review – volume: 18 start-page: 577 year: 2014 end-page: 601 ident: b0095 article-title: An evolutionary many-objective optimization algorithm using reference-point based non-dominated sorting approach, Part I: Solving problems with box constraints publication-title: IEEE Transactions on Evolutionary Computation – reference: (Society for Computer Simulation International), 1810-1819. – volume: 24 start-page: 1170 year: 2022 end-page: 1181 ident: b0360 article-title: Green supply chain network optimization under random and fuzzy environment publication-title: International Journal of Fuzzy Systems – volume: 185 year: 2021 ident: b0130 article-title: Integrated framework of process mining and simulation–optimization for pod structured clinical layout design publication-title: Expert Systems with Applications – volume: 12 start-page: 910 year: 2019 end-page: 924 ident: b0335 article-title: Computational experiment-based evaluation on context-Aware O2O service recommendation publication-title: IEEE Transactions on Services Computing – volume: 19 start-page: 351 year: 2001 end-page: 366 ident: b0080 article-title: Supply networks and complex adaptive systems: Control versus emergence publication-title: Journal of Operations Management – volume: 14 start-page: 1 year: 2011 end-page: 10 ident: b0250 article-title: Computational experiments in management science and research publication-title: Journal of Management Sciences in China – volume: 56 start-page: 2019 year: 2018 end-page: 2035 ident: b0115 article-title: Hybrid approach for the integrated scheduling of production and transport processes along supply chains publication-title: International Journal of Production Research – volume: 42 start-page: 2525 year: 2015 end-page: 2537 ident: b0205 article-title: Three-dimensional-flow model of agent-based computational experiment for complex supply network evolution publication-title: Expert Systems with Applications – volume: 16 start-page: 893 year: 2004 end-page: 897 ident: b0305 article-title: Computational experiments for behavior analysis and decision evaluation of complex systems publication-title: Journal of System Simulation – volume: 64 start-page: 5405 year: 2018 end-page: 5421 ident: b0260 article-title: Simulating macro-level effects from micro-level observations publication-title: Management Science – volume: 42 start-page: 315 year: 2021 end-page: 322 ident: b0325 article-title: Two perspectives on supply chain resilience publication-title: Journal of Business Logistics – volume: 168 year: 2021 ident: b0290 article-title: A simulation-optimization approach for adaptive manufacturing capacity planning in small and medium-sized enterprises publication-title: Expert Systems with Applications – volume: 58 start-page: 1887 year: 2012 end-page: 1897 ident: b0160 article-title: A generalized Norton-Bass model for multigeneration diffusion publication-title: Management Science – volume: 125 start-page: 681 year: 2017 end-page: 704 ident: b0090 article-title: Review: Multi-objective optimization methods and application in energy saving publication-title: Energy – volume: 57 start-page: 778 year: 2011 end-page: 795 ident: b0040 article-title: The value of fast fashion: Quick response, enhanced design, and strategic consumer behavior publication-title: Management Science – volume: 147 year: 2020 ident: b0245 article-title: Evolutionary multiobjective optimization to target social network influentials in viral marketing publication-title: Expert Systems with Applications – year: 2020 ident: b0025 article-title: Traditional versus fast fashion supply chains in the apparel industry: An agent-based simulation approach publication-title: Annals of Operations Research – volume: 5 start-page: 942 year: 2018 end-page: 950 ident: b0310 article-title: Blockchain-powered parallel healthcare systems based on the ACP approach publication-title: IEEE Transactions on Computational Social Systems – volume: 8 start-page: 256 year: 2004 end-page: 279 ident: b0085 article-title: Handling multiple objectives with particle swarm optimization publication-title: IEEE Transactions on Evolutionary Computation – volume: 15 start-page: 3343 year: 2019 end-page: 3355 ident: b0355 article-title: Social learning evolution (SLE): Computational experiment-based modeling framework of social manufacturing publication-title: IEEE Transactions on Industrial Informatics – reference: Law, A. M. (2015). Statistical analysis of simulation output data: The practical state of the art. – volume: 180 start-page: 225 year: 2010 end-page: 240 ident: b0150 article-title: Agent-based simulation of competitive and collaborative mechanisms for mobile service chains publication-title: Information Sciences – volume: 50 start-page: 17 year: 2016 end-page: 39 ident: b0285 article-title: Multi-objective control chart design optimization using NSGA-III and MOPSO enhanced with DEA and TOPSIS publication-title: Expert Systems with Applications – volume: 85 start-page: 274 year: 2009 end-page: 287 ident: b0120 article-title: Influence of Soldout Products on Consumer Choice publication-title: Journal of Retailing – volume: 103 start-page: 640 year: 2015 end-page: 650 ident: b0275 article-title: Multi-objective optimization approach for green design of methanol plant based on CO2-efficeincy indicator publication-title: Journal of Cleaner Production – volume: 22 start-page: 158 year: 2020 end-page: 169 ident: b0220 article-title: Data analytics in operations management: A review publication-title: Manufacturing & Service Operations Management – volume: 91 start-page: 311 year: 2019 end-page: 326 ident: b0350 article-title: Evaluating of dynamic service matching strategy for social manufacturing in cloud environment publication-title: Future Generation Computer Systems – volume: 185 year: 2021 ident: 10.1016/j.eswa.2023.120451_b0130 article-title: Integrated framework of process mining and simulation–optimization for pod structured clinical layout design publication-title: Expert Systems with Applications doi: 10.1016/j.eswa.2021.115696 – volume: 12 start-page: 910 issue: 6 year: 2019 ident: 10.1016/j.eswa.2023.120451_b0335 article-title: Computational experiment-based evaluation on context-Aware O2O service recommendation publication-title: IEEE Transactions on Services Computing doi: 10.1109/TSC.2016.2638083 – volume: 133 start-page: 29 year: 2019 ident: 10.1016/j.eswa.2023.120451_b0005 article-title: Agent-based modelling and heuristic approach for solving complex OEM flow-shop productions under customer disruptions publication-title: Computers & Industrial Engineering doi: 10.1016/j.cie.2019.04.054 – volume: 19 start-page: 309 year: 1988 ident: 10.1016/j.eswa.2023.120451_b0135 article-title: Multicriteria optimization for highly accurate systems publication-title: Multicriteria Optimization in Engineering and Sciences – volume: 18 start-page: 602 issue: 4 year: 2014 ident: 10.1016/j.eswa.2023.120451_b0145 article-title: An evolutionary many-objective optimization algorithm using reference-point based non-dominated sorting approach, part II: Handling constraints and extending to an adaptive approach publication-title: IEEE Transactions on Evolutionary Computation doi: 10.1109/TEVC.2013.2281534 – volume: 117 start-page: 204 year: 2019 ident: 10.1016/j.eswa.2023.120451_b0280 article-title: Public blockchain evaluation using entropy and TOPSIS publication-title: Expert Systems with Applications doi: 10.1016/j.eswa.2018.09.048 – ident: 10.1016/j.eswa.2023.120451_b0185 doi: 10.1109/WSC.2015.7408297 – volume: 5 start-page: 942 issue: 4 year: 2018 ident: 10.1016/j.eswa.2023.120451_b0310 article-title: Blockchain-powered parallel healthcare systems based on the ACP approach publication-title: IEEE Transactions on Computational Social Systems doi: 10.1109/TCSS.2018.2865526 – volume: 36 start-page: 8571 issue: 4 year: 2009 ident: 10.1016/j.eswa.2023.120451_b0230 article-title: Optimal reorder decision-making in the agent-based apparel supply chain publication-title: Expert Systems with Applications doi: 10.1016/j.eswa.2008.10.081 – volume: 42 start-page: 2525 issue: 5 year: 2015 ident: 10.1016/j.eswa.2023.120451_b0205 article-title: Three-dimensional-flow model of agent-based computational experiment for complex supply network evolution publication-title: Expert Systems with Applications doi: 10.1016/j.eswa.2014.10.036 – volume: 25 start-page: 8371 issue: 13 year: 2021 ident: 10.1016/j.eswa.2023.120451_b0255 article-title: Development of a supply chain configuration model for new product development: A multi-objective solution approach publication-title: Soft Computing doi: 10.1007/s00500-021-05761-x – volume: 8 start-page: 256 issue: 3 year: 2004 ident: 10.1016/j.eswa.2023.120451_b0085 article-title: Handling multiple objectives with particle swarm optimization publication-title: IEEE Transactions on Evolutionary Computation doi: 10.1109/TEVC.2004.826067 – volume: 91 start-page: 311 year: 2019 ident: 10.1016/j.eswa.2023.120451_b0350 article-title: Evaluating of dynamic service matching strategy for social manufacturing in cloud environment publication-title: Future Generation Computer Systems doi: 10.1016/j.future.2018.08.028 – volume: 50 start-page: 17 year: 2016 ident: 10.1016/j.eswa.2023.120451_b0285 article-title: Multi-objective control chart design optimization using NSGA-III and MOPSO enhanced with DEA and TOPSIS publication-title: Expert Systems with Applications doi: 10.1016/j.eswa.2015.11.007 – volume: 373 start-page: 269 year: 2016 ident: 10.1016/j.eswa.2023.120451_b0345 article-title: A computational experiment-based evaluation method for context-aware services in complicated environment publication-title: Information Sciences doi: 10.1016/j.ins.2016.09.003 – volume: 14 start-page: 1 issue: 5 year: 2011 ident: 10.1016/j.eswa.2023.120451_b0250 article-title: Computational experiments in management science and research publication-title: Journal of Management Sciences in China – volume: 299 start-page: 249 issue: 1 year: 2022 ident: 10.1016/j.eswa.2023.120451_b0370 article-title: Biobjective robust simulation-based optimization for unconstrained problems publication-title: European Journal of Operational Research doi: 10.1016/j.ejor.2021.08.040 – volume: 30 start-page: 1442 issue: 5 year: 2020 ident: 10.1016/j.eswa.2023.120451_b0330 article-title: Performance-price-ratio utility: Market equilibrium analysis and empirical calibration studies publication-title: Production and Operations Management doi: 10.1111/poms.13331 – volume: 168 year: 2021 ident: 10.1016/j.eswa.2023.120451_b0290 article-title: A simulation-optimization approach for adaptive manufacturing capacity planning in small and medium-sized enterprises publication-title: Expert Systems with Applications doi: 10.1016/j.eswa.2020.114451 – volume: 67 start-page: 95 year: 2017 ident: 10.1016/j.eswa.2023.120451_b0010 article-title: A multi-objective, simulation-based optimization framework for supply chains with premium freights publication-title: Expert Systems with Applications doi: 10.1016/j.eswa.2016.09.034 – start-page: 1 year: 2021 ident: 10.1016/j.eswa.2023.120451_b0375 article-title: Classification and literature review on the integration of simulation and optimization in maritime logistics studies publication-title: IISE Transactions – volume: 15 start-page: 3343 issue: 6 year: 2019 ident: 10.1016/j.eswa.2023.120451_b0355 article-title: Social learning evolution (SLE): Computational experiment-based modeling framework of social manufacturing publication-title: IEEE Transactions on Industrial Informatics doi: 10.1109/TII.2018.2871167 – volume: 292 start-page: 57 year: 2015 ident: 10.1016/j.eswa.2023.120451_b0235 article-title: Bi-objective optimization of a multi-product multi-period three-echelon supply chain problem under uncertain environments: NSGA-II and NRGA publication-title: Information Sciences doi: 10.1016/j.ins.2014.08.068 – year: 2022 ident: 10.1016/j.eswa.2023.120451_b0020 article-title: A closed-loop supply chain configuration considering environmental impacts: A self-adaptive NSGA-II algorithm publication-title: Applied Intelligence doi: 10.1007/s10489-021-02944-9 – volume: 135 start-page: 1271 year: 2019 ident: 10.1016/j.eswa.2023.120451_b0170 article-title: Study of site selection of electric vehicle charging station based on extended GRP method under picture fuzzy environment publication-title: Computers & Industrial Engineering doi: 10.1016/j.cie.2018.07.048 – volume: 128 start-page: 496 issue: 2 year: 2010 ident: 10.1016/j.eswa.2023.120451_b0060 article-title: Manufacturing intelligence for semiconductor demand forecast based on technology diffusion and product life cycle publication-title: International Journal of Production Economics doi: 10.1016/j.ijpe.2010.07.022 – volume: 23 start-page: 442 issue: 3 year: 2019 ident: 10.1016/j.eswa.2023.120451_b0165 article-title: Data-driven evolutionary optimization: An overview and case studies publication-title: IEEE Transactions on Evolutionary Computation doi: 10.1109/TEVC.2018.2869001 – volume: 24 start-page: 1170 year: 2022 ident: 10.1016/j.eswa.2023.120451_b0360 article-title: Green supply chain network optimization under random and fuzzy environment publication-title: International Journal of Fuzzy Systems doi: 10.1007/s40815-020-00979-7 – volume: 1476043 year: 2021 ident: 10.1016/j.eswa.2023.120451_b0295 article-title: Application of machine learning in supply chain management: A comprehensive overview of the main areas publication-title: Mathematical Problems in Engineering – volume: 58 start-page: 1887 issue: 10 year: 2012 ident: 10.1016/j.eswa.2023.120451_b0160 article-title: A generalized Norton-Bass model for multigeneration diffusion publication-title: Management Science doi: 10.1287/mnsc.1120.1529 – volume: 56 start-page: 2019 issue: 5 year: 2018 ident: 10.1016/j.eswa.2023.120451_b0115 article-title: Hybrid approach for the integrated scheduling of production and transport processes along supply chains publication-title: International Journal of Production Research doi: 10.1080/00207543.2017.1355118 – volume: 64 start-page: 5405 issue: 11 year: 2018 ident: 10.1016/j.eswa.2023.120451_b0260 article-title: Simulating macro-level effects from micro-level observations publication-title: Management Science doi: 10.1287/mnsc.2017.2877 – volume: 68 start-page: 322 year: 2018 ident: 10.1016/j.eswa.2023.120451_b0055 article-title: Applications of multi-objective dimension-based firefly algorithm to optimize the power losses, emission, and cost in power systems publication-title: Applied Soft Computing doi: 10.1016/j.asoc.2018.04.006 – year: 1983 ident: 10.1016/j.eswa.2023.120451_b0075 – volume: 207 start-page: 498 year: 2019 ident: 10.1016/j.eswa.2023.120451_b0105 article-title: Performance evaluation of green suppliers using entropy-TOPSIS-F publication-title: Journal of Cleaner Production doi: 10.1016/j.jclepro.2018.09.235 – volume: 42 start-page: 315 issue: 3 year: 2021 ident: 10.1016/j.eswa.2023.120451_b0325 article-title: Two perspectives on supply chain resilience publication-title: Journal of Business Logistics doi: 10.1111/jbl.12271 – volume: 22 start-page: 158 issue: 1 year: 2020 ident: 10.1016/j.eswa.2023.120451_b0220 article-title: Data analytics in operations management: A review publication-title: Manufacturing & Service Operations Management doi: 10.1287/msom.2019.0805 – volume: 150 year: 2020 ident: 10.1016/j.eswa.2023.120451_b0065 article-title: Modelling and simulation considerations for an end-to-end supply chain system publication-title: Computers & Industrial Engineering doi: 10.1016/j.cie.2020.106870 – volume: 114 start-page: 292 year: 2018 ident: 10.1016/j.eswa.2023.120451_b0225 article-title: A simulation–optimization approach for a service-constrained multi-echelon distribution network publication-title: Transportation Research Part E: Logistics and Transportation Review doi: 10.1016/j.tre.2018.02.006 – volume: 63 start-page: 1 year: 2018 ident: 10.1016/j.eswa.2023.120451_b0045 article-title: Avoiding epistemological silos and empirical elephants in OM: How to combine empirical and simulation methods? publication-title: Journal of Operations Management doi: 10.1016/j.jom.2018.11.003 – ident: 10.1016/j.eswa.2023.120451_b0180 doi: 10.1109/WSC.2010.5679174 – volume: 16 start-page: 893 issue: 5 year: 2004 ident: 10.1016/j.eswa.2023.120451_b0305 article-title: Computational experiments for behavior analysis and decision evaluation of complex systems publication-title: Journal of System Simulation – volume: 2 start-page: 221 issue: 3 year: 1994 ident: 10.1016/j.eswa.2023.120451_b0270 article-title: Multi-objective optimization using nondominated sorting in genetic algorithms publication-title: Evolutionary Computation doi: 10.1162/evco.1994.2.3.221 – volume: 180 start-page: 225 issue: 2 year: 2010 ident: 10.1016/j.eswa.2023.120451_b0150 article-title: Agent-based simulation of competitive and collaborative mechanisms for mobile service chains publication-title: Information Sciences doi: 10.1016/j.ins.2009.09.014 – volume: 5 start-page: 244 issue: 1 year: 2018 ident: 10.1016/j.eswa.2023.120451_b0315 article-title: Parallel crime scene analysis based on ACP approach publication-title: IEEE Transactions on Computational Social Systems doi: 10.1109/TCSS.2017.2782008 – volume: 242 start-page: 46 year: 2019 ident: 10.1016/j.eswa.2023.120451_b0320 article-title: A many-objective optimization of industrial environmental management using NSGA-III: A case of China’s iron and steel industry publication-title: Applied Energy doi: 10.1016/j.apenergy.2019.03.048 – volume: 33 start-page: 629 issue: 2 year: 2020 ident: 10.1016/j.eswa.2023.120451_b0195 article-title: A new scatter search design for multiobjective combinatorial optimization with an application to facility location publication-title: Informs Journal on Computing – ident: 10.1016/j.eswa.2023.120451_b0265 doi: 10.1016/j.simpat.2021.102403 – volume: 19 start-page: 351 issue: 3 year: 2001 ident: 10.1016/j.eswa.2023.120451_b0080 article-title: Supply networks and complex adaptive systems: Control versus emergence publication-title: Journal of Operations Management doi: 10.1016/S0272-6963(00)00068-1 – volume: 18 start-page: 577 issue: 4 year: 2014 ident: 10.1016/j.eswa.2023.120451_b0095 article-title: An evolutionary many-objective optimization algorithm using reference-point based non-dominated sorting approach, Part I: Solving problems with box constraints publication-title: IEEE Transactions on Evolutionary Computation doi: 10.1109/TEVC.2013.2281535 – volume: 230 year: 2020 ident: 10.1016/j.eswa.2023.120451_b0035 article-title: Dynamic production-pricing strategies for multi-generation products under uncertainty publication-title: International Journal of Production Economics doi: 10.1016/j.ijpe.2020.107851 – volume: 278 start-page: 250 year: 2014 ident: 10.1016/j.eswa.2023.120451_b0155 article-title: Evolution of knowledge sharing behavior in social commerce: An agent-based computational approach publication-title: Information Sciences doi: 10.1016/j.ins.2014.03.051 – volume: 214 year: 2023 ident: 10.1016/j.eswa.2023.120451_b0190 article-title: Decision space partition based surrogate-assisted evolutionary algorithm for expensive optimization publication-title: Expert Systems with Applications doi: 10.1016/j.eswa.2022.119075 – volume: 80 start-page: 153 year: 2018 ident: 10.1016/j.eswa.2023.120451_b0015 article-title: A multi-objective simulation-based optimization approach for inventory replenishment problem with premium freights in convergent supply chains publication-title: Omega doi: 10.1016/j.omega.2017.08.016 – volume: 399 start-page: 43 year: 2017 ident: 10.1016/j.eswa.2023.120451_b0210 article-title: A framework for data-driven computational experiments of inter-organizational collaborations in supply chain networks publication-title: Information Sciences doi: 10.1016/j.ins.2017.03.008 – volume: 147 year: 2020 ident: 10.1016/j.eswa.2023.120451_b0245 article-title: Evolutionary multiobjective optimization to target social network influentials in viral marketing publication-title: Expert Systems with Applications doi: 10.1016/j.eswa.2020.113183 – volume: 25 start-page: 7527 issue: 11 year: 2021 ident: 10.1016/j.eswa.2023.120451_b0125 article-title: Hybrid meta-heuristic algorithms for a supply chain network considering different carbon emission regulations using big data characteristics publication-title: Soft Computing doi: 10.1007/s00500-021-05711-7 – volume: 85 start-page: 274 issue: 3 year: 2009 ident: 10.1016/j.eswa.2023.120451_b0120 article-title: Influence of Soldout Products on Consumer Choice publication-title: Journal of Retailing doi: 10.1016/j.jretai.2009.05.009 – volume: 41 start-page: 4094 issue: 9 year: 2014 ident: 10.1016/j.eswa.2023.120451_b0200 article-title: An agent-based distributed computational experiment framework for virtual supply chain network development publication-title: Expert Systems with Applications doi: 10.1016/j.eswa.2014.01.001 – volume: 125 start-page: 681 year: 2017 ident: 10.1016/j.eswa.2023.120451_b0090 article-title: Review: Multi-objective optimization methods and application in energy saving publication-title: Energy doi: 10.1016/j.energy.2017.02.174 – volume: 58 start-page: 5253 issue: 17 year: 2020 ident: 10.1016/j.eswa.2023.120451_b0030 article-title: Using simulation-based system dynamics and genetic algorithms to reduce the cash flow bullwhip in the supply chain publication-title: International Journal of Production Research doi: 10.1080/00207543.2020.1715505 – volume: 6 start-page: 182 issue: 2 year: 2002 ident: 10.1016/j.eswa.2023.120451_b0100 article-title: A fast and elitist multiobjective genetic algorithm: NSGA-II publication-title: IEEE Transactions on Evolutionary Computation doi: 10.1109/4235.996017 – volume: 11 start-page: 369 issue: 2 year: 2018 ident: 10.1016/j.eswa.2023.120451_b0340 article-title: Computational experiment research on the equalization-oriented service strategy in collaborative manufacturing publication-title: IEEE Transactions on Services Computing doi: 10.1109/TSC.2016.2569082 – volume: 43 start-page: 39 year: 2017 ident: 10.1016/j.eswa.2023.120451_b0050 article-title: Simulation-based multi-objective model for supply chains with disruptions in transportation publication-title: Robotics and Computer-Integrated Manufacturing doi: 10.1016/j.rcim.2015.12.008 – volume: 21 start-page: 169 issue: 2 year: 2017 ident: 10.1016/j.eswa.2023.120451_b0140 article-title: Performance of decomposition-based many-objective algorithms strongly depends on Pareto front shapes publication-title: IEEE Transactions on Evolutionary Computation doi: 10.1109/TEVC.2016.2587749 – volume: 103 start-page: 640 issue: 15 year: 2015 ident: 10.1016/j.eswa.2023.120451_b0275 article-title: Multi-objective optimization approach for green design of methanol plant based on CO2-efficeincy indicator publication-title: Journal of Cleaner Production doi: 10.1016/j.jclepro.2014.05.032 – year: 2020 ident: 10.1016/j.eswa.2023.120451_b0025 article-title: Traditional versus fast fashion supply chains in the apparel industry: An agent-based simulation approach publication-title: Annals of Operations Research – volume: 28 start-page: 668 issue: 3 year: 2019 ident: 10.1016/j.eswa.2023.120451_b0215 article-title: The hierarchy-Niche model for supply networks publication-title: Production and Operations Management doi: 10.1111/poms.12945 – volume: 70 start-page: 148 year: 2017 ident: 10.1016/j.eswa.2023.120451_b0300 article-title: A simulation-based multi-objective optimization framework: A case study on inventory management publication-title: Omega doi: 10.1016/j.omega.2016.09.007 – volume: 57 start-page: 778 issue: 4 year: 2011 ident: 10.1016/j.eswa.2023.120451_b0040 article-title: The value of fast fashion: Quick response, enhanced design, and strategic consumer behavior publication-title: Management Science doi: 10.1287/mnsc.1100.1303 – volume: 173 year: 2021 ident: 10.1016/j.eswa.2023.120451_b0070 article-title: A bi-objective simulation-based optimization algorithm for redundancy allocation problem in series-parallel systems publication-title: Expert Systems with Applications doi: 10.1016/j.eswa.2021.114745 – volume: 29 start-page: 349 issue: 4 year: 2019 ident: 10.1016/j.eswa.2023.120451_b0110 article-title: Moore's law and price trends of digital products: The case of smartphones publication-title: Economics of Innovation and New Technology doi: 10.1080/10438599.2019.1628509 – volume: 246 year: 2020 ident: 10.1016/j.eswa.2023.120451_b0365 article-title: Green supply chain coordination considering government intervention, green investment, and customer green preferences in the petroleum industry publication-title: Journal of Cleaner Production doi: 10.1016/j.jclepro.2019.118984 – volume: 45 start-page: 54 issue: 3 year: 2009 ident: 10.1016/j.eswa.2023.120451_b0240 article-title: Investigating population and topological evolution in a complex adaptive Supply Network publication-title: Journal of Supply Chain Management doi: 10.1111/j.1745-493X.2009.03171.x |
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| SubjectTerms | Computational experiment Entropy-TOPSIS Evolutionary multi-objective algorithm Multivariate evolution Prescriptive decision-making Supply chain |
| Title | Computational experiment-aided prescriptive decision-making for complex supply chains: A case of multi-generation smartphone marketing |
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