Joint decision of product configuration and remanufacturing for product family design

Wu, Zhiqiao; Kwong, C. K.; Lee, C. K. M.; Tang, Jiafu

doi:10.1080/00207543.2015.1109154

Cited by 32 publications

(15 citation statements)

References 31 publications

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“…and 17From Eq. 15, we obtain (18) and (19) Eq. 14describes as a concave function of because the value of Eq.…”

Section: Proposition 1 the Form Of The Optimal Contractmentioning

confidence: 99%

“…Such points of tangency occur when the concave curve and the convex curve with the same slope, where Eqs. (16) and (18) are equal. It yields the optimal value of :…”

Section: Case Scenariomentioning

confidence: 99%

“…Wu et al. [18] addressed a joint decision of PFD and remanufacturing with consideration of supplier selection. He [19] examined centralized and decentralized closed-loop supply chain network models to determine the optimal return price of used products and the remanufacturing decisions.…”

Section: Introductionmentioning

confidence: 99%

“…In previous studies, various approaches and algorithms were developed / employed to solve integrated product and supply chain design problems that involve one objective such as heuristic procedures [5,13], genetic algorithms [6,9,20] and Lagrangian relaxation based approach [22]. As some integrated problems studied in previous research involve multi-objectives, various approaches and algorithms were employed to solve the multi-objective optimization problems such as bi-level nested genetic algorithm [12], nondominated sorting genetic algorithm-II [11,18,21] and three-phase heuristic algorithm [23].…”

Section: Introductionmentioning

confidence: 99%

“…The integrated product family and supply chain design problem with remanufacturing consideration quite often involves multiple objectives. It can be noted that Nondominated sorting genetic algorithm-II (NSGA II) was widely employed to solve the similar integrated problems in previous studies [11,18,21,28]. However, NSGA-II is not capable of solving the optimization problems that involves continuous decision variables as non-dominated solutions are difficult to be obtained by using meta-heuristic search alone.…”

Section: Introductionmentioning

confidence: 99%

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A cooperative negotiation embedded NSGA-II for solving an integrated product family and supply chain design problem with remanufacturing consideration

Kwong

Aydın

et al. 2017

Applied Soft Computing

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Product family design is a popular approach adopted by manufacturers to increase their product varieties in order to satisfy the needs of various markets. In recent years, because of increasing environmental concerns in societies and strict regulations of environmental protection, quite a number of manufacturers adopted remanufacturing strategy in their product development in response to the challenges. Remanufacturing of used products unavoidably involves a closed-loop supply chain system. To achieve the best outcomes, the supply chain design should be considered in product family design process. In this research, a multiobjective optimization model of integrated product family and closed loop supply chain design is formulated based on a cooperative game model for minimizing manufacturer"s total cost and maximize suppliers" total payoffs. Since the optimization problem could be a largescale one and involves mixed continuous-discrete variables, a new version of nondominated sorting genetic algorithm-II (NSGA-II), namely cooperative negotiation embedded NSGA-II (NSGA-CO), is proposed to solve the optimization model. Simulation tests are conducted to validate the effectiveness of the proposed NSGA-CO. The test results indicate that the proposed NSGA-CO outperforms NSGA-II in solving various scale of multi-objective optimization problems in terms of convergence. With the formulated optimization model and the proposed NSGA-CO, a case study of integrated product family and supply chain design is conducted to investigate the effects of environmental penalty, quantity of demand and marginal cost of remanufacturing on used product return rate, manufacturers" and suppliers" profits and joint payoff.

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“…and 17From Eq. 15, we obtain (18) and (19) Eq. 14describes as a concave function of because the value of Eq.…”

Section: Proposition 1 the Form Of The Optimal Contractmentioning

confidence: 99%

“…Such points of tangency occur when the concave curve and the convex curve with the same slope, where Eqs. (16) and (18) are equal. It yields the optimal value of :…”

Section: Case Scenariomentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A cooperative negotiation embedded NSGA-II for solving an integrated product family and supply chain design problem with remanufacturing consideration

Kwong

Aydın

et al. 2017

Applied Soft Computing

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Supplier evaluation in the context of circular economy: A forward step for resilient business and environment concern

Haleem

Khan

Luthra³

et al. 2021

Bus Strat Env

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Resource depletion is a concern for the global economy; many think that available resources on the planet will not be able to cater to an ever-growing population. Thus, economies are trying to become circular, leaving behind the linear tradition linear approach. In the circular economy (CE), physical resources and energy are made to loop back into the supply chain (SC) for a more extended period. Proper selection of suppliers is an essential criterion towards proper execution of the CE principle in SC. In this research, we have constructed a framework for evaluating the supplier concerning the CE implementation. Further, this research identifies the criterion and sub-criterion, which are pertinent for evaluating the supplier in CE context. Fuzzybased 'Criteria Importance Through Inter-Criteria Correlation (CRITIC)' method is justifiably applied to determine the aggregated weights of the criteria. Finally, 'Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS)' method is used to determine the suppliers' ranking in the Indian automobile industry. Six criteria and 24 sub-criteria are obtained as per recent literature and then inputs from experts. 'Environment' criterion came out as the most favourable criterion with a subjective weight of 0.230. The current research is one of the first such attempts to provide criteria for supplier selection in a CE environment. The developed framework would help organisations in implementing CE-based supplier selection. The identified criteria and sub-criteria would provide organisations with means to evaluate suppliers and help suppliers develop an effective and efficient CE based on the SC.

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A bilevel optimisation model for the joint configuration of new and remanufactured products considering specification upgrading of used products

et al. 2023

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Joint decision of product configuration and remanufacturing for product family design

Cited by 32 publications

References 31 publications

A cooperative negotiation embedded NSGA-II for solving an integrated product family and supply chain design problem with remanufacturing consideration

A cooperative negotiation embedded NSGA-II for solving an integrated product family and supply chain design problem with remanufacturing consideration

Supplier evaluation in the context of circular economy: A forward step for resilient business and environment concern

A bilevel optimisation model for the joint configuration of new and remanufactured products considering specification upgrading of used products

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