Model construction and modification of the profit distribution of sustainable supply chain based on Shapley value

Author(s):  
Juan Wang ◽  
Guihua Wang
2015 ◽  
Vol 7 (7) ◽  
pp. 479-483 ◽  
Author(s):  
Xiang-Yang Ren ◽  
Qiao-Qiao Feng ◽  
Shu Wang ◽  
Xue Wen

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Li Wei

E-commerce supply chain actually deals with the acquisition of the raw materials, their timely processing, and on-time delivery to the right place. It deals with a number of processes such as supply and demand, managing order entry, and inventory tracking. Now profit distribution models are actually stochastic models that are used to optimize the gains and profits in a particular business. They actually generate modern time solutions to the existing problems in a sustainable environment. However, in order to solve the problems existing in the traditional profit distribution algorithm of the e-commerce supply chain, such as low distribution accuracy and large time cost, a profit distribution algorithm of the e-commerce supply chain under the concept of sustainable development was designed. It was supported by the concept of sustainable development, and the coefficient of income distribution is calculated according to the equilibrium bidding strategy of supply chain alliance and its members, net present value of income distribution, total investment, minimum expected rate of return on investment, and other parameters. First, calculate the Shapley value of the profit distribution of the power supply chain, and obtain the correction coefficient through the correction matrix, dimensionless processing, and analytic hierarchy process. Use the correction coefficient to correct the Shapley value and the income distribution coefficient to realize the design of the profit distribution algorithm for the power supply chain. The experimental results show that the algorithm has low relative error rate, high precision, and short time cost of profit distribution coefficient calculation.


Author(s):  
Craig R. Carter ◽  
Marc R. Hatton ◽  
Chao Wu ◽  
Xiangjing Chen

Purpose The purpose of this paper is to update the work of Carter and Easton (2011), by conducting a systematic review of the sustainable supply chain management (SSCM) literature in the primary logistics and supply chain management journals, during the 2010–2018 timeframe. Design/methodology/approach The authors use a systematic literature review (SLR) methodology which follows the methodology employed by Carter and Easton (2011). An evaluation of this methodology, using the Modified AMSTAR criteria, demonstrates a high level of empirical validity. Findings The field of SSCM continues to evolve with changes in substantive focus, theoretical lenses, unit of analysis, methodology and type of analysis. However, there are still abundant future research opportunities, including investigating under-researched topics such as diversity and human rights/working conditions, employing the group as the unit of analysis and better addressing empirical validity and social desirability bias. Research limitations/implications The findings result in prescriptions and a broad agenda to guide future research in the SSCM arena. The final section of the paper provides additional avenues for future research surrounding theory development and decision making. Originality/value This SLR provides a rigorous, methodologically valid review of the continuing evolution of empirical SSCM research over a 28-year time period.


2021 ◽  
Vol 13 (13) ◽  
pp. 7278
Author(s):  
Tamoor Azam ◽  
Songjiang Wang ◽  
Muhammad Mohsin ◽  
Muhammad Nazam ◽  
Muhammad Hashim ◽  
...  

Over the past few years, sustainable supply chain initiatives (SSCIs) have grabbed attention in the domestic, as well as global, marketplace of the food sector. Nowadays, the success of the entire food supply chain depends on the prosperity of farms, local communities, trader processors, and agro-based industries. Despite its importance, food processing industries (FPIs) are encountering various hurdles in achieving sustainable business goals due to the sheer number of potential barriers. Due to this reason, stakeholders are continuously pressuring the management of FPIs to embrace sustainable food processing activities. In light of this, the present study aims to apply a hybrid fuzzy analytical hierarchy process (F-AHP) framework, based on fuzzy technique for order preference by similarity to the ideal solution (F-TOPSIS), for analyzing the barriers and prioritizing the possible pathways in adopting the SSCIs for the development of FPIs. Based on the extensive review of literature and panel consultation with experienced experts, a total of seven main barriers, forty-two sub barriers, and five possible pathways as strategic tools were finalized and ranked. An empirical case investigation of a Pakistani-based food processing company has been taken to check the practical application of the proposed framework along with sensitivity analysis. The findings of this study reveal that the lack of sustainable outsourcing factors were found as the top-ranked barrier in implementing SSCIs, and the possible pathway to overcome this barrier is the appropriate management of the procurement cycle. The major contribution of this study is to establish a barriers prioritization framework and suggest possible pathways to overcome these barriers for the successful implementation of SSCIs. Finally, the theoretical, managerial, and policy implications are provided as a way forward for the concerned stakeholders and policymakers.


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