Research on remanufacturing closed loop supply chain based on incentive-compatibility theory under uncertainty

Guo, Jianquan; Wang, Guanlan; Wang, Zhen; Liang, Chengji; Gen, Mitsuo

doi:10.1007/s10479-022-04591-w

Cited by 15 publications

(9 citation statements)

References 57 publications

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“…For the production problem under fuzzy uncertain demand, Liu et al [18] used the scenario probability and triangular fuzzy numbers to describe uncertain demand and introduced complexity theory to measure and model the uncertainty of assembly lines. Guo et al [19] constructed a total cost model of a remanufacturing closed-loop supply chain system considering carbon taxes and subsidies under uncertain market demand. To address the uncertainty of the model, they used the fuzzy chance constrained programming method.…”

Section: Literature Reviewmentioning

confidence: 99%

“…(𝑢 𝑖𝑗𝑘𝑘′ − 1)𝐴 = 0 ， 𝑢 𝑖𝑗𝑘𝑘′ 𝐴 + (𝑢 𝑖𝑗𝑘𝑘′ − 1)𝐵 are great positive numbers; if the intermediate inventory is less than 0, then 𝑢 𝑖𝑗𝑘𝑘′ =0. Because B is a minimal positive number and A is a maximal positive number, then (𝑢 𝑖𝑗𝑘𝑘′ − 1)𝐴 is a minimal negative number and (𝑢 𝑖𝑗𝑘𝑘′ − 1)𝐵 is a maximal negative number, so 𝑢 𝑖𝑗𝑘𝑘′ 𝐴 + (𝑢 𝑖𝑗𝑘𝑘′ − 1)𝐵 must be greater than (𝑢 𝑖𝑗𝑘𝑘′ − 1)𝐴 , (𝑢 𝑖𝑗𝑘𝑘′ − 1)𝐴 ≤ 𝐸 𝑖𝑗𝑘𝑘′ ≤ 𝑢 𝑖𝑗𝑘𝑘′ 𝐴 + (𝑢 𝑖𝑗𝑘𝑘′ − 1)𝐵, and can be expressed as (19):…”

Section: ) Rationalization Of Intermediate Inventorymentioning

confidence: 99%

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Multiobjective Lot Sizing and Scheduling of Multiproduct Switching Production in the Process Industry Considering Uncertain Market Information Under Mass Customization

Tang

Wang

2022

IEEE Access

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With the gradual diversification of customer demand, to improve the rapid response ability of enterprises, this paper fully considers uncertain market information under the background of mass customization and establishes a new process industry multi-product switching production lot sizing and scheduling model with the goal of minimizing the maximum completion time and total switching cost. Fuzzy chance-constrained programming is used to explicitly incorporate market demand with uncertain quantities into the model. Starting from reality, this paper considers the switching cost of equipment when processing multiple varieties of products and skillfully integrates the conversion rate of materials during processing into the novel model, making the entire production system closer to the real state. It provides a new concept to consider cost reduction for actual workshop scheduling management. In addition, this paper proposes an improved multi-objective genetic particle swarm optimization (SMOPSO-IIs) algorithm to simulate and solve the model. The operation results show that the Pareto solution obtained by the SMOPSO-IIs algorithm is better overall. Finally, the model is solved by example simulation, and the operation results are analyzed along with a scheduling Gantt chart to verify its applicability and effectiveness. The model presented in this paper can be used to further shorten the gap between production theory and practical application and improve the current workshop scheduling management system of the process industry.INDEX TERMS Mass customization, process industry lot sizing and scheduling; uncertain market information; product switching

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Section: Literature Reviewmentioning

confidence: 99%

Section: ) Rationalization Of Intermediate Inventorymentioning

confidence: 99%

Multiobjective Lot Sizing and Scheduling of Multiproduct Switching Production in the Process Industry Considering Uncertain Market Information Under Mass Customization

Tang

Wang

2022

IEEE Access

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“…Xu et al [20] formulate a stochastic model for a CLSC facing uncertain demand and carbon price under the carbon trading scenario to find the optimal operation decisions in a multi-period planning horizon. Guo et al [19] consider a remanufacturing enterprise that faces uncertain recycled product quality and demand under subsidy and carbon tax policies. They employ heuristic and intelligent methods to find the approximate solutions of the provided discrete optimization models.…”

Section: Clsc Management Under the Constraint Of Carbon Emissions Red...mentioning

confidence: 99%

“…It will further affect their operational decisions, economic profits, and environmental impacts. There is quite a lot of literature on optimal operation decisions of CLSCs under uncertainty market demand [17,18], recovery product quality [10,19], and carbon price [20]. All these literature assumes that the information among CLSC participants is symmetrical.…”

Section: Introductionmentioning

confidence: 99%

Impact of Information Asymmetry on the Operation of Green Closed-Loop Supply Chain under Government Regulation

Wang

2022

Sustainability

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Recycling subsidy and carbon tax policies are ways to achieve energy and environmental sustainability. The implementation of these policies has changed the operating environment of traditional closed-loop supply chains, while the privacy of relevant information increases the difficulty of decision-making. Under the background, this paper considers the green closed-loop supply chain (GCLSC) under the hybrid policy of recycling subsidy and carbon tax where the manufacturer is in charge of recycling and the retailer invests in green marketing. Taking green marketing cost coefficient as the retailer’s private information, this paper explores the influence of information asymmetry on optimal decisions and performance of the GCLSC. By constructing game models of information symmetry and asymmetry, the optimal decisions, economic and environmental performance, and social welfare are provided. Combined with numerical analysis, the influence of uncertainty of the manufacturer’s estimation, subsidies and carbon tax on the GCLSC is proposed. The results indicate that the uncertainty in the manufacturer’s estimation can improve the social welfare under certain conditions, but it cannot reduce carbon emissions. Recycling subsidy and carbon tax policies oppositely affect the manufacturer’s optimal decisions and carbon emissions. Information asymmetry is beneficial to the retailer. However, less uncertainty in estimation is not always better for the manufacturer. The manufacturer needs to proactively adopt strategies to stimulate the retailer’s information sharing.

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“…For example, Apple take green practices as part of marketing strategy to build green brand and attract much customers [6]. In addition, some research connect green practices with supply chain resilience and indicate that the recycled material and products can be considered as another supplier to cater high demand within uncertainty condition [7]. Such high demand and supply bring by green practices could directly prompt the development of online promotion [8].…”

Section: Introductionmentioning

confidence: 99%

Effects of Marketing Strategy and Green Supply Chain Management on Double Eleven Shopping Festival Under COVID-19: A Synergy Perspective

Chen¹,

Wang²,

Wang³

2022

Proceedings of the 2022 3rd International Conference on Management Science and Engineering Management (ICMSEM 2022)

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The impacts of COVID-19 on supply chain system have been dramatic, reflecting that most supply chains both in China and across the world were insufficiently resilient when facing with multiple risks and changes in supply and demand. The pandemic itself and the strategies that organisations and firms have responded to it, provide opportunities to have an in-depth understanding of the supply chain management in China's context. Green supply chain management (GSCM) practices, integrating internal certification and external recovery strategies within the management process, may be the key to resolving the above problems. In this research, we first explored the strategies of marketing (e.g. price discount) in a special period, Double Eleven Shopping Festival which lasts from 1st November to 11th November. We selected JD as the online shopping platform for the reason that JD is one of the largest e-commerce platforms in China. Then, we tested the dependently and interdependently moderate effect of external GSCM practices (i.e. green recovery) and internal GSCM practices (e.g., green certification) and on the value of price promotion based on synergy theory. Using hierarchical regression, our results show that there is a positive relationship between discounts and sale changes. Both internal and external practices have a positive moderate effect on the value of marketing strategy. Furthermore, the internal and external GSCM practices are complementary in moderating the link between marketing strategy and firms' sales performance. There is an obvious boost of both demand and supply under the synergetic application of price discount strategies and GSCM practices even under the COVID-19 pandemic. These findings provide implications for Chinese organisations in how to respond to the disruptive challenges brought by COVID-19 by shifting their focus on GSCM practices.

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Research on remanufacturing closed loop supply chain based on incentive-compatibility theory under uncertainty

Cited by 15 publications

References 57 publications

Multiobjective Lot Sizing and Scheduling of Multiproduct Switching Production in the Process Industry Considering Uncertain Market Information Under Mass Customization

Multiobjective Lot Sizing and Scheduling of Multiproduct Switching Production in the Process Industry Considering Uncertain Market Information Under Mass Customization

Impact of Information Asymmetry on the Operation of Green Closed-Loop Supply Chain under Government Regulation

Effects of Marketing Strategy and Green Supply Chain Management on Double Eleven Shopping Festival Under COVID-19: A Synergy Perspective

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