Handbook of Research on Interdisciplinary Approaches to Decision Making for Sustainable Supply Chains

2020 ◽  
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 ◽  
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.


2020 ◽  
Vol 11 (SPL1) ◽  
pp. 1054-1057
Author(s):  
Bindu Swetha Pasuluri ◽  
Anuradha S G ◽  
Manga J ◽  
Deepak Karanam

An unanticipated outburst of pneumonia of inexperienced in Wuhan, , China stated in December 2019. World health organization has recognized pathogen and termed it COVID-19. COVID-19 turned out to be a severe urgency in the entire world. The influence of this viral syndrome is now an intensifying concern. Covid-19 has changed our mutual calculus of ambiguity. It is more world-wide in possibility, more deeply , and much more difficult than any catastrophe that countries and organizations have ever faced. The next normal requires challenging ambiguity head-on and building it into decision-making. It is examined that every entity involved in running supply chains would require through major as employee, product, facility protocols, and transport would have to be in place. It is an urgent need of structuring to apply the lessons well-read for our supply chain setup. With higher managers now being aware of the intrinsic hazards in their supply chain, key and suggestions-recommendations will help to guide leader to commit to a newly planned, more consistent supply chain setup. Besides, the employees’ mental health is also a great concern.


2021 ◽  
Vol 13 (4) ◽  
pp. 2060
Author(s):  
Doriane Desclee ◽  
David Sohinto ◽  
Freddy Padonou

Contributing to Sustainable Development Goals and Agenda 2030 is a shared objective of all institutions and people. The challenges differ according to the characteristics of every context. In developing countries, strongly dependent on the agricultural sector, agricultural supply chains are recognized as crucial for economic growth and enablers for livelihood improvement. Moreover, sustainable development issues are correlated and can meet in agricultural supply chains. For several decades, parallel to decision-makers, the research community has elaborated sustainability assessment tools. Such tools evolved to fit with actuality, but it is challenging to find decision-making support tools for sustainable development adequate in agricultural supply chains and developing countries contexts. There is a necessity to define evidence-based tools and exhaustive analytical frameworks according to sustainability multidimensionality and strategical tradeoffs necessity. The VCA4D method aims to go beyond the limits of previous methods. It proposes a combination of multidisciplinary analytical tools applied empirically to analyze agricultural supply chains in their context. It provides evidence-based analytical results allowing to identify enablers for strategic sustainable and inclusive interventions. However, to even better meet contextual exhaustiveness’s expectations and indicators’ robustness to lead to relevant interventions, we should insist on a stricter framing of contextual data collection processes.


2021 ◽  
Vol 13 (11) ◽  
pp. 6372
Author(s):  
Vincenzo Varriale ◽  
Antonello Cammarano ◽  
Francesca Michelino ◽  
Mauro Caputo

The digital transformation of supply chains should revolutionize entire management processes and improve various aspects of sustainability. In particular, the plans of Industry 4.0 aim towards a digitization of several procedures by exploiting emerging technologies such as the Internet of Things, RFID and blockchain. The purpose of this study is to highlight how order and disruption events processes can be improved with the adoption of emerging technologies and how this reflects on the improvement of sustainability aspects. The study is based on the comparison of two simulation scenarios between three actors in the cheese supply chain. In particular, a first traditional scenario “as is” is simulated without the use of new technologies and is compared to a second scenario “to be” that adopts IoT, RFID and blockchain. The results show an improvement in time performance for managing both perfect and non-compliant orders. The developed framework highlights the impact of new technologies on sustainability aspects, showing further managerial implications.


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