Configuring products using NSGA-II: warranty profits, performance–price, and environmental emissions from the contractor perspective

References

• Abito, Jose Miguel, and Yuval Salant. 2019. “The Effect of Product Misperception on Economic Outcomes: Evidence from the Extended Warranty Market.” The Review of Economic Studies 86 (6): 2285–2318. doi:10.1093/restud/rdy045.
   Web of Science ®Google Scholar
• Aldanondo, Michel, and Elise Vareilles. 2008. “Configuration for Mass Customization: How to Extend Product Configuration Towards Requirements and Process Configuration.” Journal of Intelligent Manufacturing 19 (5): 521–535. doi:10.1007/s10845-008-0135-z.
   Web of Science ®Google Scholar
• Benderbal, H. H., and L. Benyoucef. 2019. “Machine Layout Design Problem Under Product Family Evolution in Reconfigurable Manufacturing Environment: A two-Phase-Based AMOSA Approach.” International Journal of Advanced Manufacturing Technology 104 (1-4): 375–389. doi:10.1007/s00170-019-03865-1.
   Web of Science ®Google Scholar
• Berger, Charles, Robert Blauth, David Boger, Christopher Bolster, Gary Burchill, William DuMouchel, Fred Pouliot, et al. 1993. “Kano’s Methods for Understanding Customer-Defined Quality.” Center for Quality Management Journal 2: 3–36.
   Google Scholar
• Borgue, Olivia, Christopher Paissoni, Massimo Panarotto, Ola Isaksson, Tommaso Andreussi, and Nicole Viola. 2021. “Design for Test and Qualification Through Activity-Based Modelling in Product Architecture Design.” Journal of Engineering Design 32 (11): 646–670. doi:10.1080/09544828.2021.1950656.
   Web of Science ®Google Scholar
• Cheng, Fangmin, Suihuai Yu, Jianjie Chu, Jiashuang Fan, and Yukun Hu. 2021. “Customer Satisfaction-Oriented Product Configuration Approach Based on Online Product Reviews.” Multimedia Tools and Applications 81 (3): 4413–4433. doi:10.1007/s11042-021-11774-3.
   Web of Science ®Google Scholar
• Dou, R. L., R. Huang, G. F. Nan, and J. Liu. 2020. “Less Diversity but Higher Satisfaction: An Intelligent Product Configuration Method for Type-Decreased Mass Customization.” Computers & Industrial Engineering 142: 106336. doi:10.1016/j.cie.2020.106336.
   Web of Science ®Google Scholar
• Ericsson, A., and G EriXon. 1999. Controlling Design Variants: Modular Product Platforms, 1–160. Society of Manufacturing Engineers.
   Google Scholar
• Haug, Anders, Sara Shafiee, and Lars Hvam. 2019. “The Causes of Product Configuration Project Failure.” Computers in Industry 108: 121–131. doi:10.1016/j.compind.2019.03.002.
   Web of Science ®Google Scholar
• He, C., Z. K. Li, S. Wang, and D. Z. Liu. 2021. “A Systematic Data-Mining-Based Methodology for Product Family Design and Product Configuration.” Advanced Engineering Informatics 48: 101302. doi:10.1016/j.aei.2021.101302.
   Web of Science ®Google Scholar
• Helo, P. T. 2006. “Product Configuration Analysis with Design Structure Matrix.” Industrial Management & Data Systems 106 (7): 997–1011. doi:10.1108/02635570610688896.
   Web of Science ®Google Scholar
• Ho-Huu, V., T. Nguyen-Thoi, T. Truong-Khac, L. Le-Anh, and T. Vo-Duy. 2016. “An Improved Differential Evolution Based on Roulette Wheel Selection for Shape and Size Optimization of Truss Structures with Frequency Constraints.” Neural Computing and Applications 29 (1): 167–185. doi:10.1007/s00521-016-2426-1.
   Web of Science ®Google Scholar
• Ji, Ping, Jian Jin, Ting Wang, and Yizeng Chen. 2014. “Quantification and Integration of Kano’s Model Into QFD for Optimising Product Design.” International Journal of Production Research 52 (21): 6335–6348. doi:10.1080/00207543.2014.939777.
   Web of Science ®Google Scholar
• Jiao, Yao, and Yu Yang. 2018. “A Product Configuration Approach Based on Online Data.” Journal of Intelligent Manufacturing 30 (6): 2473–2487. doi:10.1007/s10845-018-1406-y.
   Web of Science ®Google Scholar
• K, Deb., S. Agrawal, A. Pratap, and T. Meyarivan. 2000. “A Fast Elitist non-Dominated Sorting Genetic Algorithm for Multi-Objective Optimization: NSGA-II" Parallel Problem Solving from Nature PPSN VI, Springer Berlin Heidelberg, Berlin, Heidelberg, pp. 849–858. doi:10.1007/3-540-45356-3_83.
   Google Scholar
• Kristjansdottir, Katrin, Sara Shafiee, Lars Hvam, Cipriano Forza, and Niels Henrik Mortensen. 2018. “The Main Challenges for Manufacturing Companies in Implementing and Utilizing Configurators.” Computers in Industry 100: 196–211. doi:10.1016/j.compind.2018.05.001.
   Web of Science ®Google Scholar
• Kwak, Minjung, and Harrison Kim. 2017. “Green Profit Maximization Through Integrated Pricing and Production Planning for a Line of new and Remanufactured Products.” Journal of Cleaner Production 142: 3454–3470. doi:10.1016/j.jclepro.2016.10.121.
   Web of Science ®Google Scholar
• Lipowski, A., and D. Lipowska. 2012. “Roulette-wheel Selection via Stochastic Acceptance.” Physica a-Statistical Mechanics and Its Applications 391 (6): 2193–2196. doi:10.1016/j.physa.2011.12.004.
   Web of Science ®Google Scholar
• Liu, Deng Zhuo, and Zhong Kai Li. 2021. “Joint Decision-Making of Product Family Configuration and Order Allocation by Coordinating Suppliers Under Disruption Risks.” Journal of Engineering Design 32 (5): 213–246. doi:10.1080/09544828.2021.1877262.
   Web of Science ®Google Scholar
• Liu, Yiliu, and Zixian Liu. 2010. “An Integration Method for Reliability Analyses and Product Configuration.” The International Journal of Advanced Manufacturing Technology 50 (5-8): 831–841. doi:10.1007/s00170-010-2649-8.
   Web of Science ®Google Scholar
• Liu, Z. H., J. Liu, J. Lyu, H. L. Zhao, and Y. L. Xu. 2021. “Configuration of Product Plan Based on Case Reasoning of Extenics.” Alexandria Engineering Journal 60 (2): 2607–2618. doi:10.1016/j.aej.2020.12.057.
   Web of Science ®Google Scholar
• Liu, Yiliu, Zixian Liu, and Yukun Wang. 2013. “Customized Warranty Offering for Configurable Products.” Reliability Engineering & System Safety 118: 1–7. doi:10.1016/j.ress.2013.03.007.
   Web of Science ®Google Scholar
• McDermott, J. 1982. “R1: A Rule-Based Configurer of Computer Systems.” Artificial Intelligence 19 (1): 39–88. doi:10.1016/0004-3702(82)90021-2.
   Web of Science ®Google Scholar
• Murthy, D.N.Prabhakar, and Nat Jack. 2014. Extended Warranties, Maintenance Service and Lease Contracts: Modeling and Analysis for Decision-Making.
   Google Scholar
• Nag, Ujjwal, Satyendra Kumar Sharma, and Vikas Kumar. 2021. “Multiple Life-Cycle Products: A Review of Antecedents, Outcomes, Challenges, and Benefits in a Circular Economy.” Journal of Engineering Design 33 (3): 173–206. doi:10.1080/09544828.2021.2020219.
   Web of Science ®Google Scholar
• Nawaz, Waqas, Patrick Linke, and Muammer Ko ç. 2019. “Safety and Sustainability Nexus: A Review and Appraisal.” Journal of Cleaner Production 216: 74–87. doi:10.1016/j.jclepro.2019.01.167.
   Web of Science ®Google Scholar
• Nummela, Juho.. 2006. Integrated Configuration Knowledge Management by Configuration Matrices – A Framework for Representing Configuration Knowledge. Tampere: Tampere University of Technology.
   Google Scholar
• Ostrosi, E., A. J. Fougères, M. Ferney, and D. Klein. 2011. “A Fuzzy Configuration Multi-Agent Approach for Product Family Modelling in Conceptual Design.” Journal of Intelligent Manufacturing 23 (6): 2565–2586. doi:10.1007/s10845-011-0541-5.
   Web of Science ®Google Scholar
• Pakseresht, Milad, Babak Shirazi, Iraj Mahdavi, and Nezam Mahdavi-Amiri. 2020. “Toward Sustainable Optimization with Stackelberg Game Between Green Product Family and Downstream Supply Chain.” Sustainable Production and Consumption 23: 198–211. doi:10.1016/j.spc.2020.04.009.
   Web of Science ®Google Scholar
• Papinniemi, J., L. Hannola, and M. Maletz. 2014. “Challenges in Integrating Requirements Management with PLM.” International Journal of Production Research 52 (15): 4412–4423. doi:10.1080/00207543.2013.849011.
   Web of Science ®Google Scholar
• Pulkkinen, Antti. 2007. “Product Configuration in Projecting Company: The Meeting of Configurable Product Families and Sales-Delivery Process.”.
   Google Scholar
• Qi, Jiayin, Zhenping Zhang, Seongmin Jeon, and Yanquan Zhou. 2016. “Mining Customer Requirements from Online Reviews: A Product Improvement Perspective.” Information & Management 53 (8): 951–963. doi:10.1016/j.im.2016.06.002.
   Web of Science ®Google Scholar
• Ren, S. D., F. Z. Gui, Y. W. Zhao, M. Zhan, W. L. Wang, and J. Q. Zhou. 2021. “An Extenics-Based Scheduled Configuration Methodology for Low-Carbon Product Design in Consideration of Contradictory Problem Solving.” Sustainability 13 (11): 5859. doi:10.3390/su13115859.
   Web of Science ®Google Scholar
• Sabar, Nasser R., Masri Ayob, Rong Qu, and Graham Kendall. 2011. “A Graph Coloring Constructive Hyper-Heuristic for Examination Timetabling Problems.” Applied Intelligence 37 (1): 1–11. doi:10.1007/s10489-011-0309-9.
   Web of Science ®Google Scholar
• Sabioni, R. C., J. Daaboul, and J. Le Duigou. 2021. “Concurrent Optimisation of Modular Product and Reconfigurable Manufacturing System Configuration: A Customer-Oriented Offer for Mass Customisation.” International Journal of Production Research 2275–22291. doi:10.1080/00207543.2021.1886369.
   Web of Science ®Google Scholar
• Sadeghi, Leyla, Luc Mathieu, Nicolas Tricot, and Lama Al Bassit. 2015. “Developing a Safety Indicator to Measure the Safety Level During Design for Safety.” Safety Science 80: 252–263. doi:10.1016/j.ssci.2015.08.006.
   Web of Science ®Google Scholar
• Shafiee, S., Y. Wautelet, S. C. Friis, L. Lis, U. Harlou, and L. Hvam. 2021. “Evaluating the Benefits of a Computer-Aided Software Engineering Tool to Develop and Document Product Configuration Systems.” Computers in Industry 128: 103432. doi:10.1016/j.compind.2021.103432.
   Web of Science ®Google Scholar
• Sharman, David M., and Ali A. Yassine. 2004. “Characterizing Complex Product Architectures.” Systems Engineering 7 (1): 35–60. doi:10.1002/sys.10056.
   Google Scholar
• Shuyou, Zhang, Ge Wenqi, Wang Zili, Qiu Lemiao, and Zhou Huifang. 2021. “A Heuristic Configuration Solving Process Planning Method for Mechanical Product Configuration by Imitating the Crystal Crystallization Process.” The International Journal of Advanced Manufacturing Technology 116 (1-2): 611–628. doi:10.1007/s00170-021-07462-z.
   Web of Science ®Google Scholar
• Song, Q. Y., Y. D. Ni, and D. A. Ralescu. 2020. “Product Configuration Using Redundancy and Standardisation in an Uncertain Environment.” International Journal of Production Research 59 (21): 6451–6470. doi:10.1080/00207543.2020.1815888.
   Web of Science ®Google Scholar
• Song, Shouxu, Yongting Tian, and Dan Zhou. 2021. “Reverse Logistics Network Design and Simulation for Automatic Teller Machines Based on Carbon Emission and Economic Benefits: A Study of the Anhui Province ATMs Industry.” Sustainability 13 (20): 11373. doi:10.3390/su132011373.
   Web of Science ®Google Scholar
• Tan, Changbai, Haseung Chung, Kira Barton, S. Jack Hu, and Theodor Freiheit. 2020. “Incorporating Customer Personalization Preferences in Open Product Architecture Design.” Journal of Manufacturing Systems 56: 72–83. doi:10.1016/j.jmsy.2020.05.006.
   Web of Science ®Google Scholar
• Viswanathan, Shivakumar, and Allada Venkat. 2001. “Configuration Analysis to Support Product Redesign for End-of-Life Disassembly.” International Journal of Production Research 39 (8): 1733–1753. doi:10.1080/00207540110034887.
   Web of Science ®Google Scholar
• Viswanathan, Shivakumar, and Allada Venkat. 2006. “Product Configuration Optimization for Disassembly Planning: A Differential Approach.” Omega 34 (6): 599–616. doi:10.1016/j.omega.2005.01.011.
   Web of Science ®Google Scholar
• Wang, C. H. 2013. “Incorporating Customer Satisfaction Into the Decision-Making Process of Product Configuration: A Fuzzy Kano Perspective.” International Journal of Production Research 51 (22): 6651–6662. doi:10.1080/00207543.2013.825742.
   Web of Science ®Google Scholar
• Wang, Yue, Xiang Li, Linda L. Zhang, and Daniel Mo. 2021a. “Configuring Products with Natural Language: A Simple yet Effective Approach Based on Text Embeddings and Multilayer Perceptron.” International Journal of Production Research 60 (17): 5394–5406. doi:10.1080/00207543.2021.1957508.
   Web of Science ®Google Scholar
• Wang, Qi, Dunbing Tang, Leilei Yin, Miguel A. Salido, Adriana Giret, and Yuchun Xu. 2016. “Bi-objective Optimization for low-Carbon Product Family Design.” Robotics and Computer-Integrated Manufacturing 41: 53–65. doi:10.1016/j.rcim.2016.02.001.
   Web of Science ®Google Scholar
• Wang, C. H., and J. T. Wang. 2014. “Combining Fuzzy AHP and Fuzzy Kano to Optimize Product Varieties for Smart Cameras: A Zero-one Integer Programming Perspective.” Applied Soft Computing 22: 410–416. doi:10.1016/j.asoc.2014.04.013.
   Web of Science ®Google Scholar
• Wang, Xiaolin, Xiujie Zhao, and Bin Liu. 2020. “Design and Pricing of Extended Warranty Menus Based on the Multinomial Logit Choice Model.” European Journal of Operational Research 287 (1): 237–250. doi:10.1016/j.ejor.2020.05.012.
   Web of Science ®Google Scholar
• Wang, Yue, Wenlong Zhao, and Wayne Xinwei Wan. 2021b. “Needs-Based Product Configurator Design for Mass Customization Using Hierarchical Attention Network.” IEEE Transactions on Automation Science and Engineering 18 (1): 195–204. doi:10.1109/tase.2019.2957136.
   Web of Science ®Google Scholar
• Xiong, Yixuan, Gang Du, and Roger J. Jiao. 2018. “Modular Product Platforming with Supply Chain Postponement Decisions by Leader-Follower Interactive Optimization.” International Journal of Production Economics 205: 272–286. doi:10.1016/j.ijpe.2018.09.013.
   Web of Science ®Google Scholar
• Xu, Q. L., R. J. Jiao, X. Yang, M. Helander, H. M. Khalid, and A. Opperud. 2009. “An Analytical Kano Model for Customer Need Analysis.” Design Studies 30 (1): 87–110. doi:10.1016/j.destud.2008.07.001.
   Web of Science ®Google Scholar
• Xuanyuan, Sisi, Zhaoliang Jiang, Yan Li, and Zhaoqian Li. 2011. “Case Reuse Based Product Fuzzy Configuration.” Advanced Engineering Informatics 25 (2): 193–197. doi:10.1016/j.aei.2010.08.002.
   Web of Science ®Google Scholar
• Yang, Dong, and Ming Dong. 2012. “A Constraint Satisfaction Approach to Resolving Product Configuration Conflicts.” Advanced Engineering Informatics 26 (3): 592–602. doi:10.1016/j.aei.2012.03.008.
   Web of Science ®Google Scholar
• Yang, Dong, Jianxin Jiao, Yangjian Ji, Gang Du, Petri Helo, and Anna Valente. 2015. “Joint Optimization for Coordinated Configuration of Product Families and Supply Chains by a Leader-Follower Stackelberg Game.” European Journal of Operational Research 246 (1): 263–280. doi:10.1016/j.ejor.2015.04.022.
   Web of Science ®Google Scholar
• Yang, Dong, Jia Li, Bill Wang, and Yong-ji Jia. 2020. “Module-Based Product Configuration Decisions Considering Both Economical and Carbon Emission-Related Environmental Factors.” Sustainability 12 (3): 1145. doi:10.3390/su12031145.
   Web of Science ®Google Scholar
• Yao, Jianming, Heyun Shi, and Chang Liu. 2020. “Optimising the Configuration of Green Supply Chains Under Mass Personalisation.” International Journal of Production Research 58 (24): 7420–7438. doi:10.1080/00207543.2020.1723814.
   Web of Science ®Google Scholar
• Yu, Li, Zaifang Zhang, and Jin Shen. 2017. “Dynamic Customer Preference Analysis for Product Portfolio Identification Using Sequential Pattern Mining.” Industrial Management & Data Systems 117 (2): 365–381. doi:10.1108/imds-12-2015-0496.
   Web of Science ®Google Scholar
• Zeng, F. S., and Y. Jin. 2006. “Study on Product Configuration Based on Product Model.” The International Journal of Advanced Manufacturing Technology 33 (7-8): 766–771. doi:10.1007/s00170-006-0500-z.
   Web of Science ®Google Scholar
• Zhang, Linda L., Carman K. M. Lee, and Pervaiz Akhtar. 2020. “Towards Customization: Evaluation of Integrated Sales, Product, and Production Configuration.” International Journal of Production Economics 229: 107775. doi:10.1016/j.ijpe.2020.107775.
   Web of Science ®Google Scholar
• Zhang, Shuyou, Jinghua Xu, Huawei Gou, and Jianrong Tan. 2017. “A Research Review on the Key Technologies of Intelligent Design for Customized Products.” Engineering 3 (5): 631–640. doi:10.1016/j.Eng.2017.04.005.
   Web of Science ®Google Scholar
• Zhao, Shuangyao, Qiang Zhang, Zhanglin Peng, and Yu Fan. 2019. “Integrating Customer Requirements Into Customized Product Configuration Design Based on Kano’s Model.” Journal of Intelligent Manufacturing 31 (3): 597–613. doi:10.1007/s10845-019-01467-y.
   Web of Science ®Google Scholar
• Zhao, Shuangyao, Qiang Zhang, Zhanglin Peng, and Xiaonong Lu. 2022. “Product Platform Configuration for Product Families: Module Clustering Based on Product Architecture and Manufacturing Process.” Advanced Engineering Informatics 52: 101622. doi:10.1016/j.aei.2022.101622.
   Web of Science ®Google Scholar
• Zheng, Pai, Xun Xu, Shiqiang Yu, and Chao Liu. 2017. “Personalized Product Configuration Framework in an Adaptable Open Architecture Product Platform.” Journal of Manufacturing Systems 43: 422–435. doi:10.1016/j.jmsy.2017.03.010.
   Web of Science ®Google Scholar
• Zhu, Bin, Yanbing Li, and Guodong Feng. 2016. “A Fuzzy Optimisation Method for Product Variety Selection Under Uncertainty Constraints.” International Journal of Computer Integrated Manufacturing 30 (6): 606–615. doi:10.1080/0951192x.2016.1187300.
   Web of Science ®Google Scholar
• Ziaei, Mazaher, Saeedeh Ketabi, and Mahsa Ghandehari. 2021. “Concurrent Optimizing Configuration, Price, Warranty, and Supply Policy in Configurable Product Family (CPF).” Journal of Engineering Design 33 (1): 15–38. doi:10.1080/09544828.2021.1972945.
   Web of Science ®Google Scholar