Sustainable supply chains in the Indian context: An integrative decision-making model

2020 ◽  
Vol 61 ◽  
pp. 101230 ◽  
Author(s):  
R. Rajesh
2021 ◽  
Author(s):  
Chong Wu ◽  
Haohui Zou ◽  
David Barnes

Abstract With the recent emphasis on supply risk management in sustainable supply chains (SSCs), the evaluation and selection of appropriate suppliers are more important than ever. However, most existing research does not take all three sustainability perspectives of supply risk into account simultaneously and they rarely consider the correlation among supply risk factors in risk assessment. Therefore, considering the uncertain information decision-making environment, this research paper proposes a risk-based integrated group decision-making model for sustainable supplier selection (SSS). First, the weights of decision-makers (DMs) are taken as linguistic terms denoted by intuitionistic fuzzy numbers (IFNs). Second, after obtaining the aggregated intuitionistic fuzzy decision-making matrix considering the expert weights, this study uses the entropy weight method to calculate the criteria weights objectively. Then, the improved failure mode and effects analysis (FMEA) is adopted for the risk assessment to exclude high-risk suppliers. Finally, the extended alternative queuing method (AQM) is applied to rank the qualified suppliers in SSCs. This model can not only enable enterprises to reduce supply risk in SSS practices and identify and prevent the failure modes that lead to supply risk, but also reduce the uncertainty of decision-making, in order to make supplier selection more accurate. The feasibility and effectiveness of the proposed model are illustrated through application in a leading Chinese electrical appliance manufacturing company.


2019 ◽  
Vol 11 (15) ◽  
pp. 4237 ◽  
Author(s):  
Xiaodong Zhu ◽  
Lingfei Yu ◽  
Wei Li

The closed-loop supply chain management model is an effective way to promote sustainable economic development and environmental protection. Increasing the sales volume of remanufactured products to stimulate green growth is a key issue in the development of closed-loop supply chains. By designing an effective warranty strategy, customer’s perceived value can be enhanced and market demand can be stimulated. This study cuts through the warranty period of closed-loop supply chain products. Based on the perspective of consumer behavior, game theory is used to construct the optimal decision-making model for closed-loop supply chains. The optimal warranty decision making for new products and remanufactured products under centralized and decentralized decision-making models is discussed. Further, the impact of the closed-loop supply chain system with warranty services and the design of contract coordination is also shown. We show that consumer preference has a positive impact on the sales of remanufactured products and the profits of enterprises; with the extension of the new product and remanufacturing warranty period, the profit of the supply chain system first increases and then decreases, and the value is maximized at the extreme point in the manufacturer-led decision-making model. Furthermore, the leader gains higher profits with bargaining power, but the profit of the supply chain system under decentralized decision model is less than that of the centralized decision model, reflecting the double marginalization effect. The revenue sharing contract and the two-charge contract designed in this study coordinate the closed-loop supply chain system with warranty services, so that the member companies in the supply chain can achieve Pareto improvement.


Author(s):  
Santoso Wibowo ◽  
Srimannarayana Grandhi

The performance evaluation of the Internet of Things (IoT) based supply chain is challenging due to the involvement of multiple decision makers, the multi-dimensional nature of the evaluation process, and the existence of uncertainty and imprecision in the decision making process. To ensure effective decisions are made, this paper presents a fuzzy multicriteria analysis model for evaluating the performance of IoT based supply chain. The inherent uncertainty and imprecision of the performance evaluation process is adequately handled by using intuitionistic fuzzy numbers. A new algorithm is developed for determining the overall performance index for each alternative across all criteria. The development of the fuzzy multicriteria group decision making model provides organizations with the ability to effectively evaluate the performance of their IoT based supply chains for improving their competitiveness. An example is presented for demonstrating the applicability of the model for dealing with real world IoT-based performance evaluation problems.


2019 ◽  
Author(s):  
◽  
Dian Trihastuti

Increasing concern about the sustainability of supply chain operations is motivating companies and organizations to pursue strategies to reduce their contribution to global environmental and social negative impacts. While most papers in the field of sustainable supply chains have focused on economic and environmental performance at the firm level, recently some studies have considered the problem at the national level. However, there still exists a gap in quantitatively modeling social impacts, together with environmental and economic impacts, at the global level. To fill this gap, this research presents a multi-objective mathematical model for the design and planning of a supply chain, integrating the three dimensions of sustainability (economic, environmental, and social). In this research, the economic dimension of sustainability is addressed by considering the costs of the supply chain. Then MRIO, a national input-output table that describes the interdependencies between countries and economic sectors, is integrated with national environmental and social impacts to construct a triple bottom line (3BL) approach by industrial sectors. This model supports decision making by including both direct impacts, as well as indirect impacts, associated with upstream supply chain paths. This expands the range of impact considered in sustainable performance measurement both within and beyond the supply chain boundary. The integrated model can improve a company's ability to select supply chain partners based on a wider range of criteria, rather than being based on economics alone. A case study is conducted that considers three tiers of the transportation and equipment supply chain, which consists of six industrial sectors that are part of a larger system of fourteen industrial sectors operating across seventeen of the largest manufacturing countries in the world. The model is solved using a [epsilon]-constraint method; and the resulting Pareto optimal curves show the tradeoffs between the economic, environmental and social dimensions. The results reveal that indirect economic activities dominate when contributing to the environmental and social impact of the whole system. Expanding the scope of sustainability changes supply chain configuration decisions. Therefore, the primary result from this research is that firms and industry sectors need to change their focus from solely on economic aspects and include environmental and social aspects in supply chain decision making at operational and/or strategic levels of decisions.


2019 ◽  
pp. 125-133
Author(s):  
Duong Truong Thi Thuy ◽  
Anh Pham Thi Hoang

Banking has always played an important role in the economy because of its effects on individuals as well as on the economy. In the process of renovation and modernization of the country, the system of commercial banks has changed dramatically. Business models and services have become more diversified. Therefore, the performance of commercial banks is always attracting the attention of managers, supervisors, banks and customers. Bank ranking can be viewed as a multi-criteria decision model. This article uses the technique for order of preference by similarity to ideal solution (TOPSIS) method to rank some commercial banks in Vietnam.


Informatica ◽  
2009 ◽  
Vol 20 (2) ◽  
pp. 305-320 ◽  
Author(s):  
Edmundas Kazimieras Zavadskas ◽  
Arturas Kaklauskas ◽  
Zenonas Turskis ◽  
Jolanta Tamošaitienė

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