A learning-based metaheuristic for a multi-objective agile inspection planning model under uncertainty
•Developing an integrated agile inspection-machining planning in a multistage production system.•Proposing a robust tri-objective mathematical programming to model the problem.•Taking uncertainty of parameters and disruption of equipment into account.•Modeling inspection tools and machining equipmen...
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| Veröffentlicht in: | European journal of operational research Jg. 285; H. 2; S. 513 - 537 |
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| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
Elsevier B.V
01.09.2020
Elsevier |
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| ISSN: | 0377-2217, 1872-6860 |
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| Abstract | •Developing an integrated agile inspection-machining planning in a multistage production system.•Proposing a robust tri-objective mathematical programming to model the problem.•Taking uncertainty of parameters and disruption of equipment into account.•Modeling inspection tools and machining equipment as queuing systems.•Developing a hybrid learning-based metaheuristic to solve the model.
In this paper, we present an agile integrated inspection-operation planning model wherein inspection actions are planned alongside the machining operations to make the production process agile. Such an agile integrated plan can respond quickly to inspection-machining needs while still controlling costs and quality. A tri-objective mixed-integer nonlinear programming (TMINLP) model is developed for planning the integrated process in a serial multi-stage production (MSP) system. This model addresses several inter-related decisions; (1) what is the most appropriate inspection process for a quality characteristic, (2) at which stage the inspection of these quality characteristics should be performed, (3) how these inspections should be performed, (4) which inspection tools should be used, and (5) which machine should operate on products. The three objectives are: (1) minimizing the total manufacturing cost, (2) minimizing the number of nonconforming products shipped, and (3) minimizing the total manufacturing time for each product. We also address the uncertainty of manufacturing parameters and equipment disruptions. To solve the model, a novel learning-based metaheuristic is developed based on Multi-Objective Differential Evolution (MODE) algorithm, k-Means clustering method, and an Iterated Local Search (ILS) algorithm. The proposed learning-based metaheuristic algorithm is then integrated with the Taguchi Loss Function and Monte Carlo methods to address the input parameters’ uncertainty. The proposed model and solution algorithm are validated through a set of experiments against optimal solutions, and benchmarked against four existing well-known approaches, i.e. NSGA-II, MODE and two learning-based metaheuristics. The proposed approach is applied to a real industrial case and insights are provided. |
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| AbstractList | •Developing an integrated agile inspection-machining planning in a multistage production system.•Proposing a robust tri-objective mathematical programming to model the problem.•Taking uncertainty of parameters and disruption of equipment into account.•Modeling inspection tools and machining equipment as queuing systems.•Developing a hybrid learning-based metaheuristic to solve the model.
In this paper, we present an agile integrated inspection-operation planning model wherein inspection actions are planned alongside the machining operations to make the production process agile. Such an agile integrated plan can respond quickly to inspection-machining needs while still controlling costs and quality. A tri-objective mixed-integer nonlinear programming (TMINLP) model is developed for planning the integrated process in a serial multi-stage production (MSP) system. This model addresses several inter-related decisions; (1) what is the most appropriate inspection process for a quality characteristic, (2) at which stage the inspection of these quality characteristics should be performed, (3) how these inspections should be performed, (4) which inspection tools should be used, and (5) which machine should operate on products. The three objectives are: (1) minimizing the total manufacturing cost, (2) minimizing the number of nonconforming products shipped, and (3) minimizing the total manufacturing time for each product. We also address the uncertainty of manufacturing parameters and equipment disruptions. To solve the model, a novel learning-based metaheuristic is developed based on Multi-Objective Differential Evolution (MODE) algorithm, k-Means clustering method, and an Iterated Local Search (ILS) algorithm. The proposed learning-based metaheuristic algorithm is then integrated with the Taguchi Loss Function and Monte Carlo methods to address the input parameters’ uncertainty. The proposed model and solution algorithm are validated through a set of experiments against optimal solutions, and benchmarked against four existing well-known approaches, i.e. NSGA-II, MODE and two learning-based metaheuristics. The proposed approach is applied to a real industrial case and insights are provided. In this paper, we present an agile integrated inspection-operation planning model wherein inspection actions are planned alongside the machining operations to make the production process agile. Such an agile integrated plan can respond quickly to inspection-machining needs while still controlling costs and quality. A tri-objective mixed-integer nonlinear programming (TMINLP) model is developed for planning the integrated process in a serial multi-stage production (MSP) system. This model addresses several inter-related decisions; (1) what is the most appropriate inspection process for a quality characteristic, (2) at which stage the inspection of these quality characteristics should be performed, (3) how these inspections should be performed, (4) which inspection tools should be used, and (5) which machine should operate on products. The three objectives are: (1) minimizing the total manufacturing cost, (2) minimizing the number of nonconforming products shipped, and (3) minimizing the total manufacturing time for each product. We also address the uncertainty of manufacturing parameters and equipment disruptions. To solve the model, a novel learning-based metaheuristic is developed based on Multi-Objective Differential Evolution (MODE) algorithm, k-Means clustering method, and an Iterated Local Search (ILS) algorithm. The proposed learning-based metaheuristic algorithm is then integrated with the Taguchi Loss Function and Monte Carlo methods to address the input parameters’ uncertainty. The proposed model and solution algorithm are validated through a set of experiments against optimal solutions, and benchmarked against four existing well-known approaches, i.e. NSGA-II, MODE and two learning-based metaheuristics. The proposed approach is applied to a real industrial case and insights are provided. |
| Author | Jula, Payman Mohammadi, Mehrdad Karimi-Mamaghan, Maryam Pirayesh, Amir Ahmadi, Hadi |
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| BackLink | https://imt-atlantique.hal.science/hal-02480594$$DView record in HAL |
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| Cites_doi | 10.5829/idosi.ije.2013.26.09c.10 10.1016/j.cie.2018.05.041 10.1016/j.ins.2018.09.004 10.1016/j.ins.2017.02.029 10.1016/j.ejor.2019.04.042 10.1016/j.ins.2018.02.043 10.1016/j.ins.2015.08.056 10.1007/s00170-006-0486-6 10.1504/IJCAET.2012.044580 10.1016/S0045-7949(00)00117-6 10.1016/j.apm.2016.01.011 10.1016/j.ins.2017.09.053 10.1016/j.ejor.2019.09.018 10.1016/j.tre.2013.12.005 10.1016/j.mcm.2011.06.038 10.1016/j.apm.2015.11.019 10.1504/IJPQM.2010.035117 10.1016/j.ins.2018.11.051 10.1080/03052150008941314 10.1016/j.ijpe.2010.02.017 10.1016/j.tre.2017.04.009 10.1016/j.tre.2019.01.008 10.1016/j.engappai.2015.12.009 10.1016/j.ejor.2016.07.054 10.1080/0951192X.2014.900873 10.1504/IJICA.2010.033648 10.1016/j.swevo.2018.04.009 10.1016/j.ejor.2011.01.034 10.1080/00207543.2014.980460 10.1016/j.eswa.2009.03.020 10.1016/j.tre.2014.10.001 10.1016/j.apm.2011.09.037 10.1109/TEVC.2016.2521868 10.1109/MCI.2011.942584 10.1016/j.ejor.2004.07.014 10.1016/j.mcm.2012.10.017 10.1016/j.dam.2007.08.005 10.1016/j.tre.2014.09.007 10.1016/j.cie.2010.12.022 10.1080/16864360.2006.10738443 10.1016/j.ejor.2019.09.021 10.1016/j.psep.2019.05.017 10.1016/j.ijpe.2015.08.020 10.1002/nav.20206 10.1016/j.ejor.2019.08.036 10.1016/j.cie.2009.06.001 10.1016/j.ejor.2018.10.012 10.1016/j.ejor.2008.01.024 10.1515/math-2017-0029 10.1016/j.ejor.2005.03.054 10.1080/00207540410001704014 10.1016/j.ins.2017.11.030 10.1007/s12008-016-0318-3 10.1115/1.3184085 10.1016/j.ins.2016.03.023 10.1080/00207540110119982 10.1080/00207543.2017.1363425 10.1080/00224065.1992.11979403 |
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| Keywords | Agile integrated inspection-machining Uncertainty Metaheuristics Manufacturing system Machine learning |
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| References | DAS (bib0007) 2000; 32 Zhang, Zhou, Song, Zhang, Gao, Zhang (bib0067) 2016; 20 Mohammadi, Tavakkoli-Moghaddam, Siadat, Dantan (bib0034) 2016; 40 Taleizadeh, Karimi Mamaghan, Torabi (bib0055) 2018 Hulett, Damodaran (bib0016) 2011; 212 Shiau, Lin, Chuang (bib0052) 2007; 33 Mohammadi, Tavakkoli-Moghaddam (bib0033) 2016; 30 Shiau (bib0051) 2002; 40 Vaghefi, Sarhangian (bib0057) 2009; 57 Pearn, Kotz, Johnson (bib0039) 1992; 24 Van Volsem, Dullaert, Van Landeghem (bib0059) 2007; 179 Etienne, Mirdamadi, Mohammadi, Babaeizadeh Malmiry, Antoine, Siadat (bib0011) 2017; 11 Azadeh, Sangari, Amiri (bib0002) 2012; 36 Mohammadi, Dauzère-pérès, Yugma, Karimi-Mamaghan (bib0027) 2019 Solano, Romero, Rosado (bib0053) 2016; 29 Jourdan, Dhaenens, Talbi (bib0017) 2006 Zahiri, Tavakkoli-Moghaddam, Mohammadi, Jula (bib0064) 2014; 72 Shetwan, Vitanov, Tjahjono (bib0050) 2011; 60 Mosadegh, Ghomi, Süer (bib0037) 2020; 282 Elyasi, Salmasi (bib0010) 2013; 57 Linnéusson, Ng, Aslam (bib0023) 2020; 281 Luo, Liu, Zhou, Xing, Wang, Li (bib0024) 2019; 479 Mears, Roth, Djurdjanovic, Yang, Kurfess (bib0025) 2009; 131 Mohammadi, Jula, Tavakkoli-Moghaddam (bib0031) 2019; 123 Kraus, Feuerriegel, Oztekin (bib0019) 2020; 281 Rau, Cho (bib0045) 2009; 36 Sheikhalishahi, Karimi, Raghebi (bib0049) 2019; 127 Zahiri, Torabi, Mohammadi, Aghabegloo (bib0065) 2018; 122 Mohammadi, Tavakkoli-Moghaddam, Siadat, Rahimi (bib0035) 2016; 50 Rezaei-Malek, Mohammadi, Dantan, Siadat, Tavakkoli-Moghaddam (bib0047) 2018; 0 Pena, Costa, Silva, Takahashi (bib0040) 2016; 329 Kakade, Valenzuela, Smith (bib0018) 2004; 42 Deutsch, Goldberg, Perlman (bib0009) 2019; 274 Mohammadi, Dehbari, Vahdani (bib0028) 2014; 72 Lee, Park (bib0021) 2001; 79 Laura, De, David, Juan (bib0020) 2017; 15 Vahdani, Mohammadi (bib0058) 2015; 170 Penn, Raviv (bib0042) 2008; 156 Mohammadi, Jula, Tavakkoli-Moghaddam (bib0030) 2017; 257 Sun, Zhang, Zhou, Zhang, Zhang (bib0054) 2019; 44 Azizmohammadi, Amiri, Tavakkoli-Moghaddam, Mohammadi (bib0004) 2013; 26 Huang, Ding, Hao, Jin (bib0015) 2017; 394–395 Mohammadi, Torabi, Tavakkoli-Moghaddam (bib0036) 2014; 62 Zhang, Zhan, Lin, Chen, Gong, Zhong (bib0068) 2011; 6 Mohammadi, Jolai, Rostami (bib0029) 2011; 54 Zhao, Xu (bib0069) 2012; 4 Huang, Zhang, Song, Zhang, Shi (bib0014) 2019; 472 Rau, Cho (bib0044) 2011 Mohammadi, Siadat, Dantan, Tavakkoli-Moghaddam (bib0032) 2015; 53 Fan, Yan, Zhang (bib0012) 2017 Lin, Ma, Chen, Zhu, Coello, Wong (bib0022) 2018; 430–431 Trivedi, Srinivasan, Biswas, Reindl (bib0056) 2016; 354 Azadeh, Sangari (bib0001) 2010; 6 Rezaei-Malek, Tavakkoli-Moghaddam, Siadat, Dantan (bib0046) 2018 Yue, Xing, Hu, Wu, Su (bib0063) 2018; 450 Cruz, Van Woensel, Smith (bib0006) 2010; 125 Azadeh, Sangari, Sangari, Fatehi (bib0003) 2015; 28 Hanne, Nickel (bib0013) 2005; 167 Musa, Sturges, Chen (bib0038) 2006; 3 Deb, Agrawal, Pratap, Meyarivan (bib0008) 2000 Volsem (bib0060) 2010; 2 Wu, Shen, Li, Chen, Lin, Suganthan (bib0061) 2018; 423 Zahiri, Zhuang, Mohammadi (bib0066) 2017; 103 Rahimi, Tavakkoli-Moghaddam, Mohammadi, Sadeghi (bib0043) 2016; 40 Wu, Xing, Luo, Feng (bib0062) 2016; 346–347 Mohammadi, Dantan, Siadat, Tavakkoli-Moghaddam (bib0026) 2018; 56 Baykal-Gürsoy, Xiao, Ozbay (bib0005) 2009; 195 Penn, Raviv (bib0041) 2007; 54 Scarf, Cavalcante, Lopes (bib0048) 2019; 278 Solano (10.1016/j.ejor.2020.01.061_bib0053) 2016; 29 Zahiri (10.1016/j.ejor.2020.01.061_bib0064) 2014; 72 Zhang (10.1016/j.ejor.2020.01.061_bib0067) 2016; 20 Mohammadi (10.1016/j.ejor.2020.01.061_bib0036) 2014; 62 Hanne (10.1016/j.ejor.2020.01.061_bib0013) 2005; 167 Cruz (10.1016/j.ejor.2020.01.061_bib0006) 2010; 125 Huang (10.1016/j.ejor.2020.01.061_bib0014) 2019; 472 Hulett (10.1016/j.ejor.2020.01.061_bib0016) 2011; 212 Etienne (10.1016/j.ejor.2020.01.061_bib0011) 2017; 11 Yue (10.1016/j.ejor.2020.01.061_bib0063) 2018; 450 Azadeh (10.1016/j.ejor.2020.01.061_bib0002) 2012; 36 Zahiri (10.1016/j.ejor.2020.01.061_bib0066) 2017; 103 Mohammadi (10.1016/j.ejor.2020.01.061_bib0035) 2016; 50 Mohammadi (10.1016/j.ejor.2020.01.061_bib0028) 2014; 72 Vahdani (10.1016/j.ejor.2020.01.061_bib0058) 2015; 170 Mohammadi (10.1016/j.ejor.2020.01.061_bib0032) 2015; 53 Azizmohammadi (10.1016/j.ejor.2020.01.061_bib0004) 2013; 26 Zahiri (10.1016/j.ejor.2020.01.061_bib0065) 2018; 122 Elyasi (10.1016/j.ejor.2020.01.061_bib0010) 2013; 57 Scarf (10.1016/j.ejor.2020.01.061_bib0048) 2019; 278 Lee (10.1016/j.ejor.2020.01.061_bib0021) 2001; 79 Linnéusson (10.1016/j.ejor.2020.01.061_bib0023) 2020; 281 Penn (10.1016/j.ejor.2020.01.061_bib0041) 2007; 54 Volsem (10.1016/j.ejor.2020.01.061_bib0060) 2010; 2 Fan (10.1016/j.ejor.2020.01.061_bib0012) 2017 Sun (10.1016/j.ejor.2020.01.061_bib0054) 2019; 44 Mohammadi (10.1016/j.ejor.2020.01.061_bib0033) 2016; 30 Wu (10.1016/j.ejor.2020.01.061_bib0061) 2018; 423 Rau (10.1016/j.ejor.2020.01.061_bib0045) 2009; 36 Van Volsem (10.1016/j.ejor.2020.01.061_bib0059) 2007; 179 Vaghefi (10.1016/j.ejor.2020.01.061_bib0057) 2009; 57 Azadeh (10.1016/j.ejor.2020.01.061_bib0003) 2015; 28 Deb (10.1016/j.ejor.2020.01.061_bib0008) 2000 Wu (10.1016/j.ejor.2020.01.061_bib0062) 2016; 346–347 Zhao (10.1016/j.ejor.2020.01.061_bib0069) 2012; 4 DAS (10.1016/j.ejor.2020.01.061_bib0007) 2000; 32 Mohammadi (10.1016/j.ejor.2020.01.061_bib0027) 2019 Kraus (10.1016/j.ejor.2020.01.061_bib0019) 2020; 281 Zhang (10.1016/j.ejor.2020.01.061_bib0068) 2011; 6 Azadeh (10.1016/j.ejor.2020.01.061_bib0001) 2010; 6 Luo (10.1016/j.ejor.2020.01.061_bib0024) 2019; 479 Mohammadi (10.1016/j.ejor.2020.01.061_bib0030) 2017; 257 Kakade (10.1016/j.ejor.2020.01.061_bib0018) 2004; 42 Shiau (10.1016/j.ejor.2020.01.061_bib0052) 2007; 33 Musa (10.1016/j.ejor.2020.01.061_bib0038) 2006; 3 Sheikhalishahi (10.1016/j.ejor.2020.01.061_bib0049) 2019; 127 Deutsch (10.1016/j.ejor.2020.01.061_bib0009) 2019; 274 Rezaei-Malek (10.1016/j.ejor.2020.01.061_bib0047) 2018; 0 Rezaei-Malek (10.1016/j.ejor.2020.01.061_bib0046) 2018 Pena (10.1016/j.ejor.2020.01.061_bib0040) 2016; 329 Huang (10.1016/j.ejor.2020.01.061_bib0015) 2017; 394–395 Mears (10.1016/j.ejor.2020.01.061_bib0025) 2009; 131 Trivedi (10.1016/j.ejor.2020.01.061_bib0056) 2016; 354 Rau (10.1016/j.ejor.2020.01.061_bib0044) 2011 Mohammadi (10.1016/j.ejor.2020.01.061_bib0031) 2019; 123 Shetwan (10.1016/j.ejor.2020.01.061_bib0050) 2011; 60 Mosadegh (10.1016/j.ejor.2020.01.061_bib0037) 2020; 282 Shiau (10.1016/j.ejor.2020.01.061_bib0051) 2002; 40 Jourdan (10.1016/j.ejor.2020.01.061_bib0017) 2006 Lin (10.1016/j.ejor.2020.01.061_bib0022) 2018; 430–431 Rahimi (10.1016/j.ejor.2020.01.061_bib0043) 2016; 40 Mohammadi (10.1016/j.ejor.2020.01.061_bib0029) 2011; 54 Taleizadeh (10.1016/j.ejor.2020.01.061_bib0055) 2018 Laura (10.1016/j.ejor.2020.01.061_bib0020) 2017; 15 Mohammadi (10.1016/j.ejor.2020.01.061_bib0034) 2016; 40 Pearn (10.1016/j.ejor.2020.01.061_bib0039) 1992; 24 Baykal-Gürsoy (10.1016/j.ejor.2020.01.061_bib0005) 2009; 195 Mohammadi (10.1016/j.ejor.2020.01.061_bib0026) 2018; 56 Penn (10.1016/j.ejor.2020.01.061_bib0042) 2008; 156 |
| References_xml | – volume: 6 start-page: 289 year: 2010 end-page: 303 ident: bib0001 article-title: A metaheuristic method for optimising inspection strategies in serial multistage processes publication-title: International Journal of Productivity and Quality Management – volume: 79 start-page: 77 year: 2001 end-page: 86 ident: bib0021 article-title: Robust optimization considering tolerances of design variables publication-title: Computers & Structures – volume: 103 start-page: 109 year: 2017 end-page: 142 ident: bib0066 article-title: Toward an integrated sustainable-resilient supply chain: A pharmaceutical case study publication-title: Transportation Research Part E: Logistics and Transportation Review – volume: 60 start-page: 473 year: 2011 end-page: 484 ident: bib0050 article-title: Allocation of quality control stations in multistage manufacturing systems publication-title: Computers & Industrial Engineering – volume: 29 start-page: 1 year: 2016 end-page: 15 ident: bib0053 article-title: An ontology for integrated machining and inspection process planning focusing on resource capabilities publication-title: International Journal of Computer Integrated Manufacturing – volume: 11 start-page: 289 year: 2017 end-page: 300 ident: bib0011 article-title: Cost engineering for variation management during the product and process development publication-title: International Journal on Interactive Design and Manufacturing – volume: 122 start-page: 1 year: 2018 end-page: 14 ident: bib0065 article-title: A multi-stage stochastic programming approach for blood supply chain planning publication-title: Computers & Industrial Engineering – volume: 30 start-page: 2563 year: 2016 end-page: 2580 ident: bib0033 article-title: Design of a fuzzy bi-objective reliable p-hub center problem publication-title: Journal of Intelligent & Fuzzy Systems – volume: 56 start-page: 1432 year: 2018 end-page: 1457 ident: bib0026 article-title: A bi-objective robust inspection planning model in a multi-stage serial production system publication-title: International Journal of Production Research – volume: 257 start-page: 792 year: 2017 end-page: 809 ident: bib0030 article-title: Design of a reliable multi-modal multi-commodity model for hazardous materials transportation under uncertainty publication-title: European Journal of Operational Research – volume: 54 start-page: 301 year: 2007 end-page: 314 ident: bib0041 article-title: Optimizing the quality control station configuration publication-title: Naval Research Logistics – volume: 329 start-page: 491 year: 2016 end-page: 502 ident: bib0040 article-title: Control of flexible manufacturing systems under model uncertainty using supervisory control theory and evolutionary computation schedule synthesis publication-title: Information Sciences – volume: 156 start-page: 412 year: 2008 end-page: 419 ident: bib0042 article-title: A polynomial time algorithm for solving a quality control station configuration problem publication-title: Discrete Applied Mathematics – volume: 170 start-page: 67 year: 2015 end-page: 87 ident: bib0058 article-title: A bi-objective interval-stochastic robust optimization model for designing closed loop supply chain network with multi-priority queuing system publication-title: International Journal of Production Economics – volume: 282 start-page: 530 year: 2020 end-page: 544 ident: bib0037 article-title: Stochastic mixed-model assembly line sequencing problem: Mathematical modeling and Q-learning based simulated annealing hyper-heuristics publication-title: European Journal of Operational Research – volume: 50 start-page: 1 year: 2016 end-page: 19 ident: bib0035 article-title: A game-based meta-heuristic for a fuzzy bi-objective reliable hub location problem publication-title: Engineering Applications of Artificial Intelligence – volume: 15 start-page: 261 year: 2017 end-page: 280 ident: bib0020 article-title: Learnheuristics: Hybridizing metaheuristics with machine learning for optimization with dynamic inputs publication-title: Open Mathematics – volume: 281 start-page: 402 year: 2020 end-page: 414 ident: bib0023 article-title: A hybrid simulation-based optimization framework supporting strategic maintenance development to improve production performance publication-title: European Journal of Operational Research – volume: 57 start-page: 1154 year: 2013 end-page: 1164 ident: bib0010 article-title: Stochastic scheduling with minimizing the number of tardy jobs using chance constrained programming publication-title: Mathematical and Computer Modelling – start-page: 1025 year: 2011 end-page: 1030 ident: bib0044 article-title: Particle swarm optimization with mutation for the inspection allocation in reentrant production systems publication-title: 2011 international conference on machine learning and cybernetics. Presented at the 2011 international conference on machine learning and cybernetics – volume: 0 start-page: 1 year: 2018 end-page: 18 ident: bib0047 article-title: A review on optimisation of part quality inspection planning in a multi-stage manufacturing system publication-title: International Journal of Production Research – volume: 127 start-page: 321 year: 2019 end-page: 328 ident: bib0049 article-title: "Combinatorial optimization of petrochemical plants by asset integrity management indicators publication-title: Process Safety and Environmental Protection – volume: 72 start-page: 15 year: 2014 end-page: 41 ident: bib0028 article-title: Design of a bi-objective reliable healthcare network with finite capacity queue under service covering uncertainty publication-title: Transportation Research Part E: Logistics and Transportation Review – volume: 274 start-page: 627 year: 2019 end-page: 637 ident: bib0009 article-title: Incorporating monitoring technology and on-site inspections into an n-person inspection game publication-title: European Journal of Operational Research – volume: 479 start-page: 401 year: 2019 end-page: 415 ident: bib0024 article-title: Robust deadlock control of automated manufacturing systems with multiple unreliable resources publication-title: Information Sciences – volume: 131 year: 2009 ident: bib0025 article-title: Quality and inspection of machining operations: CMM integration to the machine tool publication-title: Journal of Manufacturing Science and Engineering – volume: 53 start-page: 2202 year: 2015 end-page: 2224 ident: bib0032 article-title: Mathematical modelling of a robust inspection process plan: Taguchi and Monte Carlo methods publication-title: International Journal of Production Research – year: 2017 ident: bib0012 article-title: Auto-selection mechanism of differential evolution algorithm variants and its application publication-title: European Journal of Operational Research – volume: 6 start-page: 68 year: 2011 end-page: 75 ident: bib0068 article-title: Evolutionary computation meets machine learning: A survey publication-title: IEEE Computational Intelligence Magazine – volume: 36 start-page: 1455 year: 2012 end-page: 1464 ident: bib0002 article-title: A particle swarm algorithm for inspection optimization in serial multi-stage processes publication-title: Applied Mathematical Modelling – volume: 72 start-page: 101 year: 2014 end-page: 124 ident: bib0064 article-title: Multi-objective design of an organ transplant network under uncertainty publication-title: Transportation Research Part E: Logistics and Transportation Review – volume: 281 start-page: 628 year: 2020 end-page: 641 ident: bib0019 article-title: Deep learning in business analytics and operations research: Models, applications and managerial implications publication-title: European Journal of Operational Research – year: 2019 ident: bib0027 article-title: A queue-based aggregation approach for performance evaluation of a production system with an AMHS publication-title: Computers & Operations Research – volume: 278 start-page: 772 year: 2019 end-page: 782 ident: bib0048 article-title: Delay-time modelling of a critical system subject to random inspections publication-title: European Journal of Operational Research – volume: 57 start-page: 1226 year: 2009 end-page: 1234 ident: bib0057 article-title: Contribution of simulation to the optimization of inspection plans for multi-stage manufacturing systems publication-title: Computers & Industrial Engineering – start-page: 1 year: 2018 end-page: 18 ident: bib0046 article-title: A novel model for the integrated planning of part quality inspection and preventive maintenance in a linear-deteriorating serial multi-stage manufacturing system publication-title: The International Journal of Advanced Manufacturing Technology – volume: 125 start-page: 224 year: 2010 end-page: 234 ident: bib0006 article-title: Buffer and throughput trade-offs in M/G/1/K queueing networks: A bi-criteria approach publication-title: International Journal of Production Economics – volume: 40 start-page: 4179 year: 2016 end-page: 4198 ident: bib0043 article-title: Multi-objective hub network design under uncertainty considering congestion: An M/M/C/K queue system publication-title: Applied Mathematical Modelling – volume: 179 start-page: 621 year: 2007 end-page: 633 ident: bib0059 article-title: An evolutionary algorithm and discrete event simulation for optimizing inspection strategies for multi-stage processes publication-title: European Journal of Operational Research – volume: 33 start-page: 746 year: 2007 end-page: 755 ident: bib0052 article-title: Concurrent process/inspection planning for a customized manufacturing system based on genetic algorithm publication-title: The International Journal of Advanced Manufacturing Technology – volume: 2 start-page: 170 year: 2010 end-page: 177 ident: bib0060 article-title: Joint optimisation of all inspection parameters for multistage processes: Evolutionary algorithm and simulation publication-title: International Journal of Innovative Computing and Applications – volume: 62 start-page: 89 year: 2014 end-page: 115 ident: bib0036 article-title: Sustainable hub location under mixed uncertainty publication-title: Transportation Research Part E: Logistics and Transportation Review – volume: 26 start-page: 1031 year: 2013 end-page: 1042 ident: bib0004 article-title: Solving a redundancy allocation problem by a hybrid multi-objective imperialist competitive algorithm publication-title: International Journal of Engineering – volume: 42 start-page: 3891 year: 2004 end-page: 3909 ident: bib0018 article-title: An optimization model for selective inspection in serial manufacturing systems publication-title: International Journal of Production Research – volume: 54 start-page: 2623 year: 2011 end-page: 2638 ident: bib0029 article-title: An M/M/c queue model for hub covering location problem publication-title: Mathematical and Computer Modelling – volume: 24 start-page: 216 year: 1992 end-page: 231 ident: bib0039 article-title: Distributional and inferential properties of process capability indices publication-title: Journal of Quality Technology – volume: 423 start-page: 172 year: 2018 end-page: 186 ident: bib0061 article-title: Ensemble of differential evolution variants publication-title: Information Sciences – volume: 472 start-page: 180 year: 2019 end-page: 202 ident: bib0014 article-title: Adaptive differential evolution with a Lagrange interpolation argument algorithm publication-title: Information Sciences – volume: 20 start-page: 792 year: 2016 end-page: 806 ident: bib0067 article-title: A self-organizing multiobjective evolutionary algorithm publication-title: IEEE Transactions on Evolutionary Computation – year: 2018 ident: bib0055 article-title: A possibilistic closed-loop supply chain: Pricing, advertising and remanufacturing optimization publication-title: Neural Computing and Applications – volume: 354 start-page: 275 year: 2016 end-page: 300 ident: bib0056 article-title: A genetic algorithm – differential evolution based hybrid framework: Case study on unit commitment scheduling problem publication-title: Information Sciences – start-page: 57 year: 2006 end-page: 69 ident: bib0017 article-title: Using datamining techniques to help metaheuristics: A short survey publication-title: Hybrid metaheuristics – volume: 4 start-page: 1 year: 2012 end-page: 31 ident: bib0069 article-title: Integration of machining and inspection publication-title: International Journal of Computer Aided Engineering and Technology – volume: 450 start-page: 392 year: 2018 end-page: 408 ident: bib0063 article-title: Resource failure and buffer space allocation control for automated manufacturing systems publication-title: Information Sciences – volume: 346–347 start-page: 17 year: 2016 end-page: 28 ident: bib0062 article-title: Robust deadlock control for automated manufacturing systems with an unreliable resource publication-title: Information Sciences – volume: 40 start-page: 5621 year: 2016 end-page: 5642 ident: bib0034 article-title: Design of a reliable logistics network with hub disruption under uncertainty publication-title: Applied Mathematical Modelling – volume: 28 start-page: 766 year: 2015 end-page: 780 ident: bib0003 article-title: A particle swarm algorithm for optimising inspection policies in serial multistage production processes with uncertain inspection costs publication-title: International Journal of Computer Integrated Manufacturing – volume: 44 start-page: 304 year: 2019 end-page: 319 ident: bib0054 article-title: A new learning-based adaptive multi-objective evolutionary algorithm publication-title: Swarm and Evolutionary Computation – volume: 430–431 start-page: 46 year: 2018 end-page: 64 ident: bib0022 article-title: An adaptive immune-inspired multi-objective algorithm with multiple differential evolution strategies publication-title: Information Sciences – volume: 3 start-page: 69 year: 2006 end-page: 78 ident: bib0038 article-title: Agile inspection planning based on CAD-Data publication-title: Computer-Aided Design and Applications – volume: 32 start-page: 585 year: 2000 end-page: 618 ident: bib0007 article-title: Robustness optimization for constrained nonlinear programming problems publication-title: Engineering Optimization – volume: 195 start-page: 127 year: 2009 end-page: 138 ident: bib0005 article-title: Modeling traffic flow interrupted by incidents publication-title: European Journal of Operational Research – start-page: 849 year: 2000 end-page: 858 ident: bib0008 article-title: A fast elitist non-dominated sorting genetic algorithm for multi-objective optimization: NSGA-II publication-title: Parallel problem solving from nature PPSN VI – volume: 36 start-page: 11287 year: 2009 end-page: 11295 ident: bib0045 article-title: Genetic algorithm modeling for the inspection allocation in reentrant production systems publication-title: Expert Systems with Applications – volume: 167 start-page: 663 year: 2005 end-page: 678 ident: bib0013 article-title: A multiobjective evolutionary algorithm for scheduling and inspection planning in software development projects publication-title: European Journal of Operational Research – volume: 212 start-page: 89 year: 2011 end-page: 99 ident: bib0016 article-title: Analytical approximations to predict performance measures of markovian type manufacturing systems with job failures and parallel processing publication-title: European Journal of Operational Research – volume: 394–395 start-page: 183 year: 2017 end-page: 197 ident: bib0015 article-title: A multi-objective approach to robust optimization over time considering switching cost publication-title: Information Sciences – volume: 123 start-page: 90 year: 2019 end-page: 120 ident: bib0031 article-title: Reliable single-allocation hub location problem with disruptions publication-title: Transportation Research Part E: Logistics and Transportation Review – volume: 40 start-page: 1787 year: 2002 end-page: 1806 ident: bib0051 article-title: Inspection resource assignment in a multistage manufacturing system with an inspection error model publication-title: International Journal of Production Research – volume: 26 start-page: 1031 year: 2013 ident: 10.1016/j.ejor.2020.01.061_bib0004 article-title: Solving a redundancy allocation problem by a hybrid multi-objective imperialist competitive algorithm publication-title: International Journal of Engineering doi: 10.5829/idosi.ije.2013.26.09c.10 – volume: 122 start-page: 1 year: 2018 ident: 10.1016/j.ejor.2020.01.061_bib0065 article-title: A multi-stage stochastic programming approach for blood supply chain planning publication-title: Computers & Industrial Engineering doi: 10.1016/j.cie.2018.05.041 – volume: 472 start-page: 180 year: 2019 ident: 10.1016/j.ejor.2020.01.061_bib0014 article-title: Adaptive differential evolution with a Lagrange interpolation argument algorithm publication-title: Information Sciences doi: 10.1016/j.ins.2018.09.004 – volume: 394–395 start-page: 183 year: 2017 ident: 10.1016/j.ejor.2020.01.061_bib0015 article-title: A multi-objective approach to robust optimization over time considering switching cost publication-title: Information Sciences doi: 10.1016/j.ins.2017.02.029 – volume: 278 start-page: 772 issue: 3 year: 2019 ident: 10.1016/j.ejor.2020.01.061_bib0048 article-title: Delay-time modelling of a critical system subject to random inspections publication-title: European Journal of Operational Research doi: 10.1016/j.ejor.2019.04.042 – volume: 450 start-page: 392 year: 2018 ident: 10.1016/j.ejor.2020.01.061_bib0063 article-title: Resource failure and buffer space allocation control for automated manufacturing systems publication-title: Information Sciences doi: 10.1016/j.ins.2018.02.043 – volume: 329 start-page: 491 year: 2016 ident: 10.1016/j.ejor.2020.01.061_bib0040 article-title: Control of flexible manufacturing systems under model uncertainty using supervisory control theory and evolutionary computation schedule synthesis publication-title: Information Sciences doi: 10.1016/j.ins.2015.08.056 – start-page: 849 year: 2000 ident: 10.1016/j.ejor.2020.01.061_bib0008 article-title: A fast elitist non-dominated sorting genetic algorithm for multi-objective optimization: NSGA-II – volume: 33 start-page: 746 year: 2007 ident: 10.1016/j.ejor.2020.01.061_bib0052 article-title: Concurrent process/inspection planning for a customized manufacturing system based on genetic algorithm publication-title: The International Journal of Advanced Manufacturing Technology doi: 10.1007/s00170-006-0486-6 – volume: 4 start-page: 1 year: 2012 ident: 10.1016/j.ejor.2020.01.061_bib0069 article-title: Integration of machining and inspection publication-title: International Journal of Computer Aided Engineering and Technology doi: 10.1504/IJCAET.2012.044580 – volume: 79 start-page: 77 year: 2001 ident: 10.1016/j.ejor.2020.01.061_bib0021 article-title: Robust optimization considering tolerances of design variables publication-title: Computers & Structures doi: 10.1016/S0045-7949(00)00117-6 – volume: 40 start-page: 5621 year: 2016 ident: 10.1016/j.ejor.2020.01.061_bib0034 article-title: Design of a reliable logistics network with hub disruption under uncertainty publication-title: Applied Mathematical Modelling doi: 10.1016/j.apm.2016.01.011 – start-page: 1025 year: 2011 ident: 10.1016/j.ejor.2020.01.061_bib0044 article-title: Particle swarm optimization with mutation for the inspection allocation in reentrant production systems – volume: 423 start-page: 172 year: 2018 ident: 10.1016/j.ejor.2020.01.061_bib0061 article-title: Ensemble of differential evolution variants publication-title: Information Sciences doi: 10.1016/j.ins.2017.09.053 – volume: 281 start-page: 628 issue: 3 year: 2020 ident: 10.1016/j.ejor.2020.01.061_bib0019 article-title: Deep learning in business analytics and operations research: Models, applications and managerial implications publication-title: European Journal of Operational Research doi: 10.1016/j.ejor.2019.09.018 – volume: 62 start-page: 89 year: 2014 ident: 10.1016/j.ejor.2020.01.061_bib0036 article-title: Sustainable hub location under mixed uncertainty publication-title: Transportation Research Part E: Logistics and Transportation Review doi: 10.1016/j.tre.2013.12.005 – volume: 54 start-page: 2623 year: 2011 ident: 10.1016/j.ejor.2020.01.061_bib0029 article-title: An M/M/c queue model for hub covering location problem publication-title: Mathematical and Computer Modelling doi: 10.1016/j.mcm.2011.06.038 – volume: 40 start-page: 4179 year: 2016 ident: 10.1016/j.ejor.2020.01.061_bib0043 article-title: Multi-objective hub network design under uncertainty considering congestion: An M/M/C/K queue system publication-title: Applied Mathematical Modelling doi: 10.1016/j.apm.2015.11.019 – volume: 6 start-page: 289 year: 2010 ident: 10.1016/j.ejor.2020.01.061_bib0001 article-title: A metaheuristic method for optimising inspection strategies in serial multistage processes publication-title: International Journal of Productivity and Quality Management doi: 10.1504/IJPQM.2010.035117 – volume: 479 start-page: 401 year: 2019 ident: 10.1016/j.ejor.2020.01.061_bib0024 article-title: Robust deadlock control of automated manufacturing systems with multiple unreliable resources publication-title: Information Sciences doi: 10.1016/j.ins.2018.11.051 – volume: 32 start-page: 585 year: 2000 ident: 10.1016/j.ejor.2020.01.061_bib0007 article-title: Robustness optimization for constrained nonlinear programming problems publication-title: Engineering Optimization doi: 10.1080/03052150008941314 – volume: 125 start-page: 224 year: 2010 ident: 10.1016/j.ejor.2020.01.061_bib0006 article-title: Buffer and throughput trade-offs in M/G/1/K queueing networks: A bi-criteria approach publication-title: International Journal of Production Economics doi: 10.1016/j.ijpe.2010.02.017 – volume: 103 start-page: 109 year: 2017 ident: 10.1016/j.ejor.2020.01.061_bib0066 article-title: Toward an integrated sustainable-resilient supply chain: A pharmaceutical case study publication-title: Transportation Research Part E: Logistics and Transportation Review doi: 10.1016/j.tre.2017.04.009 – volume: 123 start-page: 90 year: 2019 ident: 10.1016/j.ejor.2020.01.061_bib0031 article-title: Reliable single-allocation hub location problem with disruptions publication-title: Transportation Research Part E: Logistics and Transportation Review doi: 10.1016/j.tre.2019.01.008 – volume: 50 start-page: 1 year: 2016 ident: 10.1016/j.ejor.2020.01.061_bib0035 article-title: A game-based meta-heuristic for a fuzzy bi-objective reliable hub location problem publication-title: Engineering Applications of Artificial Intelligence doi: 10.1016/j.engappai.2015.12.009 – volume: 257 start-page: 792 year: 2017 ident: 10.1016/j.ejor.2020.01.061_bib0030 article-title: Design of a reliable multi-modal multi-commodity model for hazardous materials transportation under uncertainty publication-title: European Journal of Operational Research doi: 10.1016/j.ejor.2016.07.054 – volume: 28 start-page: 766 year: 2015 ident: 10.1016/j.ejor.2020.01.061_bib0003 article-title: A particle swarm algorithm for optimising inspection policies in serial multistage production processes with uncertain inspection costs publication-title: International Journal of Computer Integrated Manufacturing doi: 10.1080/0951192X.2014.900873 – volume: 2 start-page: 170 year: 2010 ident: 10.1016/j.ejor.2020.01.061_bib0060 article-title: Joint optimisation of all inspection parameters for multistage processes: Evolutionary algorithm and simulation publication-title: International Journal of Innovative Computing and Applications doi: 10.1504/IJICA.2010.033648 – volume: 44 start-page: 304 year: 2019 ident: 10.1016/j.ejor.2020.01.061_bib0054 article-title: A new learning-based adaptive multi-objective evolutionary algorithm publication-title: Swarm and Evolutionary Computation doi: 10.1016/j.swevo.2018.04.009 – volume: 346–347 start-page: 17 year: 2016 ident: 10.1016/j.ejor.2020.01.061_bib0062 article-title: Robust deadlock control for automated manufacturing systems with an unreliable resource publication-title: Information Sciences – volume: 212 start-page: 89 year: 2011 ident: 10.1016/j.ejor.2020.01.061_bib0016 article-title: Analytical approximations to predict performance measures of markovian type manufacturing systems with job failures and parallel processing publication-title: European Journal of Operational Research doi: 10.1016/j.ejor.2011.01.034 – volume: 53 start-page: 2202 year: 2015 ident: 10.1016/j.ejor.2020.01.061_bib0032 article-title: Mathematical modelling of a robust inspection process plan: Taguchi and Monte Carlo methods publication-title: International Journal of Production Research doi: 10.1080/00207543.2014.980460 – volume: 36 start-page: 11287 year: 2009 ident: 10.1016/j.ejor.2020.01.061_bib0045 article-title: Genetic algorithm modeling for the inspection allocation in reentrant production systems publication-title: Expert Systems with Applications doi: 10.1016/j.eswa.2009.03.020 – volume: 72 start-page: 15 year: 2014 ident: 10.1016/j.ejor.2020.01.061_bib0028 article-title: Design of a bi-objective reliable healthcare network with finite capacity queue under service covering uncertainty publication-title: Transportation Research Part E: Logistics and Transportation Review doi: 10.1016/j.tre.2014.10.001 – volume: 36 start-page: 1455 year: 2012 ident: 10.1016/j.ejor.2020.01.061_bib0002 article-title: A particle swarm algorithm for inspection optimization in serial multi-stage processes publication-title: Applied Mathematical Modelling doi: 10.1016/j.apm.2011.09.037 – volume: 20 start-page: 792 year: 2016 ident: 10.1016/j.ejor.2020.01.061_bib0067 article-title: A self-organizing multiobjective evolutionary algorithm publication-title: IEEE Transactions on Evolutionary Computation doi: 10.1109/TEVC.2016.2521868 – volume: 6 start-page: 68 year: 2011 ident: 10.1016/j.ejor.2020.01.061_bib0068 article-title: Evolutionary computation meets machine learning: A survey publication-title: IEEE Computational Intelligence Magazine doi: 10.1109/MCI.2011.942584 – volume: 167 start-page: 663 year: 2005 ident: 10.1016/j.ejor.2020.01.061_bib0013 article-title: A multiobjective evolutionary algorithm for scheduling and inspection planning in software development projects publication-title: European Journal of Operational Research doi: 10.1016/j.ejor.2004.07.014 – volume: 57 start-page: 1154 year: 2013 ident: 10.1016/j.ejor.2020.01.061_bib0010 article-title: Stochastic scheduling with minimizing the number of tardy jobs using chance constrained programming publication-title: Mathematical and Computer Modelling doi: 10.1016/j.mcm.2012.10.017 – volume: 156 start-page: 412 year: 2008 ident: 10.1016/j.ejor.2020.01.061_bib0042 article-title: A polynomial time algorithm for solving a quality control station configuration problem publication-title: Discrete Applied Mathematics doi: 10.1016/j.dam.2007.08.005 – volume: 72 start-page: 101 year: 2014 ident: 10.1016/j.ejor.2020.01.061_bib0064 article-title: Multi-objective design of an organ transplant network under uncertainty publication-title: Transportation Research Part E: Logistics and Transportation Review doi: 10.1016/j.tre.2014.09.007 – year: 2018 ident: 10.1016/j.ejor.2020.01.061_bib0055 article-title: A possibilistic closed-loop supply chain: Pricing, advertising and remanufacturing optimization publication-title: Neural Computing and Applications – volume: 60 start-page: 473 year: 2011 ident: 10.1016/j.ejor.2020.01.061_bib0050 article-title: Allocation of quality control stations in multistage manufacturing systems publication-title: Computers & Industrial Engineering doi: 10.1016/j.cie.2010.12.022 – volume: 3 start-page: 69 year: 2006 ident: 10.1016/j.ejor.2020.01.061_bib0038 article-title: Agile inspection planning based on CAD-Data publication-title: Computer-Aided Design and Applications doi: 10.1080/16864360.2006.10738443 – volume: 282 start-page: 530 issue: 2 year: 2020 ident: 10.1016/j.ejor.2020.01.061_bib0037 article-title: Stochastic mixed-model assembly line sequencing problem: Mathematical modeling and Q-learning based simulated annealing hyper-heuristics publication-title: European Journal of Operational Research doi: 10.1016/j.ejor.2019.09.021 – volume: 127 start-page: 321 year: 2019 ident: 10.1016/j.ejor.2020.01.061_bib0049 article-title: "Combinatorial optimization of petrochemical plants by asset integrity management indicators publication-title: Process Safety and Environmental Protection doi: 10.1016/j.psep.2019.05.017 – volume: 170 start-page: 67 year: 2015 ident: 10.1016/j.ejor.2020.01.061_bib0058 article-title: A bi-objective interval-stochastic robust optimization model for designing closed loop supply chain network with multi-priority queuing system publication-title: International Journal of Production Economics doi: 10.1016/j.ijpe.2015.08.020 – volume: 30 start-page: 2563 issue: 5 year: 2016 ident: 10.1016/j.ejor.2020.01.061_bib0033 article-title: Design of a fuzzy bi-objective reliable p-hub center problem publication-title: Journal of Intelligent & Fuzzy Systems – volume: 54 start-page: 301 year: 2007 ident: 10.1016/j.ejor.2020.01.061_bib0041 article-title: Optimizing the quality control station configuration publication-title: Naval Research Logistics doi: 10.1002/nav.20206 – volume: 281 start-page: 402 issue: 2 year: 2020 ident: 10.1016/j.ejor.2020.01.061_bib0023 article-title: A hybrid simulation-based optimization framework supporting strategic maintenance development to improve production performance publication-title: European Journal of Operational Research doi: 10.1016/j.ejor.2019.08.036 – volume: 57 start-page: 1226 year: 2009 ident: 10.1016/j.ejor.2020.01.061_bib0057 article-title: Contribution of simulation to the optimization of inspection plans for multi-stage manufacturing systems publication-title: Computers & Industrial Engineering doi: 10.1016/j.cie.2009.06.001 – volume: 274 start-page: 627 issue: 2 year: 2019 ident: 10.1016/j.ejor.2020.01.061_bib0009 article-title: Incorporating monitoring technology and on-site inspections into an n-person inspection game publication-title: European Journal of Operational Research doi: 10.1016/j.ejor.2018.10.012 – volume: 0 start-page: 1 year: 2018 ident: 10.1016/j.ejor.2020.01.061_bib0047 article-title: A review on optimisation of part quality inspection planning in a multi-stage manufacturing system publication-title: International Journal of Production Research – year: 2019 ident: 10.1016/j.ejor.2020.01.061_bib0027 article-title: A queue-based aggregation approach for performance evaluation of a production system with an AMHS publication-title: Computers & Operations Research – volume: 195 start-page: 127 year: 2009 ident: 10.1016/j.ejor.2020.01.061_bib0005 article-title: Modeling traffic flow interrupted by incidents publication-title: European Journal of Operational Research doi: 10.1016/j.ejor.2008.01.024 – volume: 15 start-page: 261 year: 2017 ident: 10.1016/j.ejor.2020.01.061_bib0020 article-title: Learnheuristics: Hybridizing metaheuristics with machine learning for optimization with dynamic inputs publication-title: Open Mathematics doi: 10.1515/math-2017-0029 – volume: 179 start-page: 621 year: 2007 ident: 10.1016/j.ejor.2020.01.061_bib0059 article-title: An evolutionary algorithm and discrete event simulation for optimizing inspection strategies for multi-stage processes publication-title: European Journal of Operational Research doi: 10.1016/j.ejor.2005.03.054 – volume: 42 start-page: 3891 year: 2004 ident: 10.1016/j.ejor.2020.01.061_bib0018 article-title: An optimization model for selective inspection in serial manufacturing systems publication-title: International Journal of Production Research doi: 10.1080/00207540410001704014 – volume: 430–431 start-page: 46 year: 2018 ident: 10.1016/j.ejor.2020.01.061_bib0022 article-title: An adaptive immune-inspired multi-objective algorithm with multiple differential evolution strategies publication-title: Information Sciences doi: 10.1016/j.ins.2017.11.030 – start-page: 1 year: 2018 ident: 10.1016/j.ejor.2020.01.061_bib0046 article-title: A novel model for the integrated planning of part quality inspection and preventive maintenance in a linear-deteriorating serial multi-stage manufacturing system publication-title: The International Journal of Advanced Manufacturing Technology – volume: 11 start-page: 289 year: 2017 ident: 10.1016/j.ejor.2020.01.061_bib0011 article-title: Cost engineering for variation management during the product and process development publication-title: International Journal on Interactive Design and Manufacturing doi: 10.1007/s12008-016-0318-3 – volume: 29 start-page: 1 year: 2016 ident: 10.1016/j.ejor.2020.01.061_bib0053 article-title: An ontology for integrated machining and inspection process planning focusing on resource capabilities publication-title: International Journal of Computer Integrated Manufacturing – volume: 131 year: 2009 ident: 10.1016/j.ejor.2020.01.061_bib0025 article-title: Quality and inspection of machining operations: CMM integration to the machine tool publication-title: Journal of Manufacturing Science and Engineering doi: 10.1115/1.3184085 – volume: 354 start-page: 275 year: 2016 ident: 10.1016/j.ejor.2020.01.061_bib0056 article-title: A genetic algorithm – differential evolution based hybrid framework: Case study on unit commitment scheduling problem publication-title: Information Sciences doi: 10.1016/j.ins.2016.03.023 – year: 2017 ident: 10.1016/j.ejor.2020.01.061_bib0012 article-title: Auto-selection mechanism of differential evolution algorithm variants and its application publication-title: European Journal of Operational Research – start-page: 57 year: 2006 ident: 10.1016/j.ejor.2020.01.061_bib0017 article-title: Using datamining techniques to help metaheuristics: A short survey – volume: 40 start-page: 1787 year: 2002 ident: 10.1016/j.ejor.2020.01.061_bib0051 article-title: Inspection resource assignment in a multistage manufacturing system with an inspection error model publication-title: International Journal of Production Research doi: 10.1080/00207540110119982 – volume: 56 start-page: 1432 year: 2018 ident: 10.1016/j.ejor.2020.01.061_bib0026 article-title: A bi-objective robust inspection planning model in a multi-stage serial production system publication-title: International Journal of Production Research doi: 10.1080/00207543.2017.1363425 – volume: 24 start-page: 216 year: 1992 ident: 10.1016/j.ejor.2020.01.061_bib0039 article-title: Distributional and inferential properties of process capability indices publication-title: Journal of Quality Technology doi: 10.1080/00224065.1992.11979403 |
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| SubjectTerms | Agile integrated inspection-machining Computer Science Machine learning Manufacturing system Metaheuristics Operations Research Uncertainty |
| Title | A learning-based metaheuristic for a multi-objective agile inspection planning model under uncertainty |
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