scholarly journals Game Analysis of Low Carbonization for Urban Logistics Service Systems

Author(s):  
Jidong Guo ◽  
Shugang Ma

To improve carbon efficiency for urban logistics service system composed of a third-party logistics service provider (3PLs) and an e-business enterprise, low-carbon operation game between them was studied. Considering low carbon technology investment cost and sales expansion effect of low carbon level, profit functions for both players were constituted. Based on their different bargaining capabilities, totally 5 types of game scenarios were designed. Through analytical solution, Nash Equilibria under varied scenarios were obtained. By analyzing these equilibria, 4 major propositions were given, in which, some key variables and system performance index were compared. Results show that the best system yields could only be achieved under the fully cooperative situation; limited cooperation only for carbon emission reduction would not benefit the system performance improvement; E-business enterprise-leading game’s performance overtook 3PLs-leading ones.

2021 ◽  
Vol 13 (13) ◽  
pp. 7354
Author(s):  
Jiekun Song ◽  
Xiaoping Ma ◽  
Rui Chen

Reverse logistics is an important way to realize sustainable production and consumption. With the emergence of professional third-party reverse logistics service providers, the outsourcing model has become the main mode of reverse logistics. Whether the distribution of cooperative profit among multiple participants is fair or not determines the quality of the implementation of the outsourcing mode. The traditional Shapley value model is often used to distribute cooperative profit. Since its distribution basis is the marginal profit contribution of each member enterprise to different alliances, it is necessary to estimate the profit of each alliance. However, it is difficult to ensure the accuracy of this estimation, which makes the distribution lack of objectivity. Once the actual profit share deviates from the expectation of member enterprise, the sustainability of the reverse logistics alliance will be affected. This study considers the marginal efficiency contribution of each member enterprise to the alliance and applies it to replace the marginal profit contribution. As the input and output data of reverse logistics cannot be accurately separated from those of the whole enterprise, they are often uncertain. In this paper, we assume that each member enterprise’s input and output data are fuzzy numbers and construct an efficiency measurement model based on fuzzy DEA. Then, we define the characteristic function of alliance and propose a modified Shapley value model to fairly distribute cooperative profit. Finally, an example comprising of two manufacturing enterprises, one sales enterprise, and one third-party reverse logistics service provider is put forward to verify the model’s feasibility and effectiveness. This paper provides a reference for the profit distribution of the reverse logistics.


2019 ◽  
Vol 8 (3) ◽  
pp. 11
Author(s):  
Kalpana Murari

Environmental impact assessment report is the primary document required to assess sustainable issues of any business/commercial activity, but it is most often overlooked for serious anomalies in its presentation to the public. It is most often incomplete and there is a need to review the standards of impact assessment procedures that help preserve environmental integrity among developing nations. The absence of sanctions for improper assessment of environmental, social and economic impacts of commercial activities, including extraction of natural resources by domestic and multinational corporations undermines sustainable development across the globe. The procedures in place to study various impacts of a business activity that enable access to genuine, verifiable and actionable information by the public require review and oversight by a third-party institution. The standardization of procedures and universal harmonization of enforcement and compliance regulations by nations has to become a topic for debate at various academic levels to gain importance. Essentially, EIA reports in large infrastructure projects serve as a blueprint for low carbon economies. Developing nations ignore vital provisions relating to the listing and analysis of alternatives in their attempt to meet developmental goals. Environmental protection is to maintain the ecological integrity of habitats and ecosystems. EIA reports, ultimately, aim at conserving and replenishing the reserves of natural resources. Judicial law has played an important role in highlighting the importance of alternatives in EIA. It is therefore important as how developing nations use the provision for the alternative analysis within their environmental laws. This paper will discuss EIA under the auspices of International law relating it to Sustainable Development. It shall emphasize the significance of providing alternatives in large infrastructure projects that have enviro-social impacts including transboundary effects and how the use of “no-action” alternative helps preserve and conserve a nation’s resources, reducing negative impacts Keywords: NEPA, CEQ, Impact Assessment, Alternatives Assessment, Alternatives Analysis, no-action alternative, hydropower, mega dams.


2021 ◽  
Vol 12 (1) ◽  
pp. 135-146
Author(s):  
E.A. Ejem ◽  
C.M. Uka ◽  
D.N. Dike ◽  
C.C. Ikeogu ◽  
C.C. Igboanusi ◽  
...  

Abstract This paper is focused on solving the evaluation and selection of 3PL’s by applying multi-criteria decision-making methods. Nigerian Breweries, Nigerian Bottling Company (NBC), AG Leventis, Kobo logistics, and Flour Mills of Nigeria (FMN) were understudied. The main criteria on which evaluation is based were established: Cost, Service level, Financial Capability, Reputation and Long-term relationship. A combination of two quantitative models was adopted in the study. Relevant data were collected through an oral interview with managers and key decision-makers at the companies. SWARA was first applied to the collated data to determine the relative weights of the criteria. Afterwards, the TOPSIS was applied to the weights developed using SWARA and on the performance of the selected service providers. After the analysis, the best service provider was identified as supplier 2 while the worst was supplier 5.


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