scholarly journals Joint Decision-Making and the Coordination of a Sustainable Supply Chain in the Context of Carbon Tax Regulation and Fairness Concerns

Author(s):  
Zhi Liu ◽  
Xiao-Xue Zheng ◽  
Ben-Gang Gong ◽  
Yun-Miao Gui
2015 ◽  
Vol 6 (2) ◽  
pp. 12-27 ◽  
Author(s):  
Lanndon Ocampo ◽  
Eppie Clark ◽  
Kae Vines Tanudtanud

This paper proposes the use of fuzzy analytic network process (FANP) in identifying the content of the structural decisions of manufacturing strategy that integrates sustainability and the classical manufacturing strategy framework, considering firm size as a relevant component in decision-making. Fuzzy set theory elucidates judgment through linguistic variables while analytic network process (ANP) handles the complexity of the decision-making brought about by subjectivity and relationships among components in the decision problem. A group of experts in manufacturing was tasked to elicit judgment in pairwise comparisons following in the methodology of the ANP. Results also show that structural decisions that support sustainability integrate backward supply chain. This supports existing approaches particularly on sustainable supply chain and green purchasing. The contribution of this work lies in adopting a multi-criteria decision-making (MCDM) framework that identifies the content of the structural decisions of a sustainable manufacturing strategy.


2011 ◽  
Vol 361-363 ◽  
pp. 1397-1401 ◽  
Author(s):  
Hai Yan Li ◽  
Bin Dan ◽  
Kai Rao ◽  
Hong Zhao

Difference from traditional green single supply chain, this paper discusses a multiple supply chains cooperation model with the consideration of production wastes reusing, integrated green supply chain. We establish the uncooperative dynamic game model and the joint decision-making model. The different waste supply and demand quantificational conditions and the output and price strategy of product under the above condition are given. Especially, through comparing the joint decision-making with the independent decision-making, the following are suggested: When waste supply is far less than demand, the cooperation scope of system profit and main product output do not exist; When waste supply is far greater than demand, the cooperation scope of main product output of upstream supply chain is the maximum, and the cooperation scope of system profit is much bigger; When waste supply is roughly matchable to demand, the cooperation scope of system profit and product output of upstream supply chain are the largest.


Symmetry ◽  
2019 ◽  
Vol 11 (3) ◽  
pp. 353 ◽  
Author(s):  
Bojan Matić ◽  
Stanislav Jovanović ◽  
Dillip Kumar Das ◽  
Edmundas Kazimieras Zavadskas ◽  
Željko Stević ◽  
...  

Sustainable development is one of the most important preconditions for preserving resources and balanced functioning of a complete supply chain in different areas. Taking into account the complexity of sustainable development and a supply chain, different decisions have to be made day-to-day, requiring the consideration of different parameters. One of the most important decisions in a sustainable supply chain is the selection of a sustainable supplier and, often the applied methodology is multi-criteria decision-making (MCDM). In this paper, a new hybrid MCDM model for evaluating and selecting suppliers in a sustainable supply chain for a construction company has been developed. The evaluation and selection of suppliers have been carried out on the basis of 21 criteria that belong to all aspects of sustainability. The determination of the weight values of criteria has been performed applying the full consistency method (FUCOM), while a new rough complex proportional assessment (COPRAS) method has been developed to evaluate the alternatives. The rough Dombi aggregator has been used for averaging in group decision-making while evaluating the significance of criteria and assessing the alternatives. The obtained results have been checked and confirmed using a sensitivity analysis that implies a four-phase procedure. In the first phase, the change of criteria weight was performed, while, in the second phase, rough additive ratio assessment (ARAS), rough weighted aggregated sum product assessment (WASPAS), rough simple additive weighting (SAW), and rough multi-attributive border approximation area comparison (MABAC) have been applied. The third phase involves changing the parameter ρ in the modeling of rough Dombi aggregator, and the fourth phase includes the calculation of Spearman’s correlation coefficient (SCC) that shows a high correlation of ranks.


Author(s):  
Renata Paksiova ◽  
Kornélia Lovciová

The food industry is an important sector in each country with regards to food self-sufficiency, and it is a subject of stricter monitoring compared to other sectors. Disclosure of non-financial information significantly compliments the image of each company and contributes very effectively to the decision making of their customers, not only from the supply chain. Interest in non-financial information as parts of CSR from the perspective of the ethical and sustainable supply chain management is increasing. In the social, environmental, and economic spheres, it is important to determine the specificities of food industry reporting in order to achieve sustainable development. The aim of this chapter is a theoretical analysis of the reporting of non-financial information according to their disclosure requirements in the food industry by enterprises in Slovakia and a quantitative analysis of their reporting in the structure of SK NACE for 2017 in the context of the ethics and sustainability. Slovakia has more requirements for company reporting in the annual report since 2017.


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