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Whether the design of product innovation can highly match the customer demand is the key to extend the product life cycle, and it is also the basis for enterprises to carry out continuous production and operation. The first step of product innovation is to identify the relationship between customer demands and design factors of product innovation. This paper focuses on the problems of market control, due to the wide range and deep level of knowledge from customer demands in the process of product innovation. To better meet the customer demands, combined with Entropy Theorem, Prospect Theory and Grey Correlation Method, this paper puts forward a method of importance of design factors of product innovation considering customer demands. First, the Entropy Theorem and Prospect Theory are introduced to calculate the importance of demand factors from the perspective of customers and experts. Second, the priority ranking of design factors of product innovation from the perspective of customer demand is calculated through Gray Correlation Method and Fuzzy TOPSIS. Finally, this method is availability and feasibility thought taking the continuous innovation of electric vehicle as an example.
Yinyun Yu; Congdong Li. Evaluate the priority of product design factors in the process of complex product innovation. Complex & Intelligent Systems 2021, 1 -14.
AMA StyleYinyun Yu, Congdong Li. Evaluate the priority of product design factors in the process of complex product innovation. Complex & Intelligent Systems. 2021; ():1-14.
Chicago/Turabian StyleYinyun Yu; Congdong Li. 2021. "Evaluate the priority of product design factors in the process of complex product innovation." Complex & Intelligent Systems , no. : 1-14.
To design sustainable supply chain systems in today’s business environment, this paper studies a location-inventory problem in a closed-loop supply chain by considering the sales of new and used products in the primary and secondary markets, respectively. This problem is formulated as a mixed-integer nonlinear program to optimize facility location and inventory management decisions jointly, and the logistics flows between the two markets are modeled dynamically. To solve this problem efficiently, a new heuristic approach is also developed by introducing an effective adaptive mechanism into differential evolution. Finally, numerical experiments are presented to validate the solution approach and provide valuable managerial insight. This paper makes a meaningful contribution to the literature by incorporating the secondary market into the study of closed-loop supply chains, and practically, it is also greatly beneficial to improve the sustainability and efficiency of modern supply chains.
Hao Guo; Congdong Li; Ying Zhang; Chunnan Zhang; Mengmeng Lu. A Location-Inventory Problem in a Closed-Loop Supply Chain with Secondary Market Consideration. Sustainability 2018, 10, 1891 .
AMA StyleHao Guo, Congdong Li, Ying Zhang, Chunnan Zhang, Mengmeng Lu. A Location-Inventory Problem in a Closed-Loop Supply Chain with Secondary Market Consideration. Sustainability. 2018; 10 (6):1891.
Chicago/Turabian StyleHao Guo; Congdong Li; Ying Zhang; Chunnan Zhang; Mengmeng Lu. 2018. "A Location-Inventory Problem in a Closed-Loop Supply Chain with Secondary Market Consideration." Sustainability 10, no. 6: 1891.
To mitigate or reduce various losses and improve efficiency of disaster response, the focus of this paper is to design optimized strategies of emergency organization allocation regarding sustainability. Firstly, an integrated framework including several elements such as emergency organization, task, decision-agents, environment and their relations is developed from a systematic perspective. Then, this problem is formulated as a novel multi-objective 0–1 integer programming model to minimize total weighted completion times, total carbon emissions and total emergency costs. Next, branch and bound approach and handling strategies for multiple objectives are designed to solve this model. Finally, a case study from the Wenchuan earthquake is presented to illustrate the proposed model and solution strategies. Computational results demonstrate their significant potential advantages on allocating emergency organization from the perspectives of best practice, objective functions, preferences of decision-agents, and problem size.
Cejun Cao; Congdong Li; Qin Yang; Fanshun Zhang. Multi-Objective Optimization Model of Emergency Organization Allocation for Sustainable Disaster Supply Chain. Sustainability 2017, 9, 2103 .
AMA StyleCejun Cao, Congdong Li, Qin Yang, Fanshun Zhang. Multi-Objective Optimization Model of Emergency Organization Allocation for Sustainable Disaster Supply Chain. Sustainability. 2017; 9 (11):2103.
Chicago/Turabian StyleCejun Cao; Congdong Li; Qin Yang; Fanshun Zhang. 2017. "Multi-Objective Optimization Model of Emergency Organization Allocation for Sustainable Disaster Supply Chain." Sustainability 9, no. 11: 2103.
To save lives and reduce suffering of victims, the focus of this paper is to design the strategies of relief distribution regarding beneficiary perspective on sustainability. This problem is formulated as a multi-objective mixed-integer nonlinear programming model to maximize the lowest victims' perceived satisfaction, and minimize respectively the largest deviation on victims’ perceived satisfaction for all demand points and sub-phases. Then, genetic algorithm is proposed to solve this mathematical model. To validate the proposed methodologies, a case study from Wenchuan earthquake is illustrated. Computational results demonstrate genetic algorithm here can achieve the trade-off between solution quality and computation time for relief distribution with the concern of sustainability. Furthermore, it indicates that the methodology provides the tools for decision-makers to optimize the structure of relief distribution network and inventory, as well as alleviate the suffering of victims. Increasingly, this paper expects to not only validate the proposed model and method, but also highlight the importance and urge of considering beneficiary perspective on sustainability into relief distribution problem.
Cejun Cao; Congdong Li; Qin Yang; Yang Liu; Ting Qu. A novel multi-objective programming model of relief distribution for sustainable disaster supply chain in large-scale natural disasters. Journal of Cleaner Production 2017, 174, 1422 -1435.
AMA StyleCejun Cao, Congdong Li, Qin Yang, Yang Liu, Ting Qu. A novel multi-objective programming model of relief distribution for sustainable disaster supply chain in large-scale natural disasters. Journal of Cleaner Production. 2017; 174 ():1422-1435.
Chicago/Turabian StyleCejun Cao; Congdong Li; Qin Yang; Yang Liu; Ting Qu. 2017. "A novel multi-objective programming model of relief distribution for sustainable disaster supply chain in large-scale natural disasters." Journal of Cleaner Production 174, no. : 1422-1435.
Ce-Jun Cao; Cong-Dong Li; Wen-Bo Li. Research on the Relief Scheduling Model Considering Victims’ Satisfaction for Emergency Response in Large-Scale Disasters. Proceedings of the 22nd International Conference on Industrial Engineering and Engineering Management 2015 2016, 679 -690.
AMA StyleCe-Jun Cao, Cong-Dong Li, Wen-Bo Li. Research on the Relief Scheduling Model Considering Victims’ Satisfaction for Emergency Response in Large-Scale Disasters. Proceedings of the 22nd International Conference on Industrial Engineering and Engineering Management 2015. 2016; ():679-690.
Chicago/Turabian StyleCe-Jun Cao; Cong-Dong Li; Wen-Bo Li. 2016. "Research on the Relief Scheduling Model Considering Victims’ Satisfaction for Emergency Response in Large-Scale Disasters." Proceedings of the 22nd International Conference on Industrial Engineering and Engineering Management 2015 , no. : 679-690.