A model for supply chains environmental performance analysis and decision making

2008 ◽  
Vol 16 (15) ◽  
pp. 1647-1657 ◽  
Author(s):  
Giannis T. Tsoulfas ◽  
Costas P. Pappis
2015 ◽  
Vol 22 (2) ◽  
pp. 309-334 ◽  
Author(s):  
P. Chithambaranathan ◽  
Nachiappan Subramanian ◽  
PL.K. Palaniappan

Purpose – An appropriate system for analysing performance of supply chains is an important requirement for the effective utilization of the supply chains. The purpose of this paper is to develop a conceptual model for the task of analysing the performance of members of supply chains. Design/methodology/approach – A thorough literature review of the methodologies proposed earlier by various authors has been made. In this paper a multi criteria decision-making (MCDM) framework comprising of two MCDM approaches is proposed for analysing performance of supply chain members. Findings – Performance analysis of members of supply chain and the process of decision making based on the outcome of the analysis is a MCDM process. Since human judgements are often vague, the application of fuzzy concepts is appropriate for analysing the performance of supply chains. The framework proposed in this paper was validated in a company manufacturing textiles. Research limitations/implications – The methodologies proposed are of great use for large- and medium-sized enterprises. However, small organizations may not be able to allot enough resources to implement the methodologies proposed. Practical implications – The framework developed can be applied for undertaking a comparative analysis of performance of members of supply chains. It can also be applied for the process of incorporation of new members into the supply chain. Originality/value – Very few methods are available for analysing the performance of supply chains and the subject remains an under researched one. The major contribution of this paper is that it proposes a new framework.


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.


2018 ◽  
Vol 30 (5) ◽  
pp. 1379-1400 ◽  
Author(s):  
Shuhui Wang ◽  
Paul Alexander

Purpose Viewing consumer confidence as a set of static factors has informed previous research and underpinned strategies used in recovering from food safety quality failures, but this approach has not delivered reliable and quick recovery from large-scale food safety scandals. The purpose of this paper is to examine extant models and the factors they are composed of, and suggest an extended model that has a better potential for consumer confidence. The paper focuses on food products where supply chains are visible, and use these features to group the findings. Design/methodology/approach In this study principal components and logit analyses are used to assess the role of 30 variables operating in a consumer confidence model constructed from several existing in the literature. This combined model considers emotional, cognitive, trust and sociodemographic factors. In total, 14 independent factors are identified. The authors examine the factors, and from these, the decision-making mechanisms before and after the Sanlu Infant Milk Formula (IMF) scandal of 2008. Findings The authors find that the factors considered by consumers are different for different IMF supply chains, and different again before and after the scandal. The authors develop the argument for an extension to the existing models, incorporating a dynamic consumer confidence system. Research limitations/implications The paper uses a single survey after the focus event to establish “before” and “after” decision-making factors. Since the IMF scandal is recent and of very high profile, this is likely valid even if it carries memory bias effects. The study is directly applicable to food safety scandals in a Chinese context. Deductive reasoning extends our assertions to a wider context. They are logically validated but have not been formally tested. Practical implications Using this system as a framework a checklist for recovery from a similar food safety scandal is suggested. The authors also suggest more general use for use where supply chains features are visible to consumers. Originality/value Models for food safety consumer confidence recovery have previously focused on identifying models and the static factors they consist of. These do represent a reflection of how this phenomenon operates, but using the principals of this model nevertheless does not result in good recovery from extreme food safety failures. This paper contributes by extending these models to one that can be applied for better recovery.


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