A decision support model for sustainable supplier selection in sustainable supply chain management

2017 ◽  
Vol 105 ◽  
pp. 391-410 ◽  
Author(s):  
Alireza Fallahpour ◽  
Ezutah Udoncy Olugu ◽  
Siti Nurmaya Musa ◽  
Kuan Yew Wong ◽  
Samira Noori
Keyword(s):  
Supply Chain ◽  
Decision Support ◽  
Supply Chain Management ◽  
Supplier Selection ◽  
Sustainable Supply Chain ◽  
Decision Support Model ◽  
Chain Management ◽  
Sustainable Supply Chain Management ◽  
Sustainable Supplier Selection ◽  
Support Model

Decision Support System of Performance Assessment for Sustainable Supply Chain Management

2013 ◽  
Vol 4 (2) ◽  
pp. 24-37 ◽  
Author(s):  
Rika Ampuh Hadiguna
Keyword(s):  
Supply Chain ◽  
Decision Support ◽  
Supply Chain Management ◽  
Decision Support System ◽  
Performance Assessment ◽  
Support System ◽  
Mathematical Formulation ◽  
Sustainable Supply Chain ◽  
Chain Management ◽  
Sustainable Supply Chain Management

Sustainable supply chain management (s-SCM) requires a practice tool to assess performance that able to measure, evaluate and improve the existing operations of supply chain. The research question is how to build a decision support system (DSS) for performance assessment of s-SCM. The author has designed a DSS for performance assessment of s-SCM. There are some elements in designed DSS namely existing achievement, standards, indicators achievement and priority, computation algorithm, and recommendation for improvement. Theoretical contribution of this study is the development of relationship between total and partial performance in mathematical formulation. The model that has been presented is still using generic indicators. If the particular company would like to apply model that additional indicators should change the encoding computer program. However, the modification is very easy to perform. DSS structure of this study is still able to accommodate any kind of particular requirement.

scholarly journals Sustainable Supply Chain Management In Canadian Corporations

2021 ◽  
Author(s):  
Oguz Morali
Keyword(s):  
Content Analysis ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Supplier Selection ◽  
Phase 1 ◽  
Theory And Practice ◽  
Second Phase ◽  
Sustainable Supply Chain ◽  
Chain Management ◽  
Sustainable Supply Chain Management

The purpose of this dissertation is twofold: (1) to examine the extent of integration and implementation of corporate sustainability (CS) into supply chain management (SCM) practices in corporations; and (2) to provide a basis for improved supplier selection with respect to sustainability criteria. Three interrelated research objectives were developed to achieve the purpose: (1) explore the extent to which CS principles are integrated into SCM in corporations; (2) investigate how sustainable supply chain management (SSCM) has evolved in corporations; and (3) develop a model to integrate the environmental and social criteria of CS into supplier assessment and selection. The dissertation is comprised of three main phases corresponding directly to the research objectives stated above. Canada is used as a case study to achieve this goal. Consequently, the first phase explores the extent to which CS principles are integrated into SCM in Canadian corporations. The study includes a primary content analysis of 100 Canadian corporate sustainable development reports (CSDRs) and in-depth interviews with thirty Canadian experts on SSCM. The second phase investigates how SSCM has evolved in Canadian corporations over a five-year period. The study is based on a sequential content analysis of 26 CSDRs to compare the findings with the results from the primary content analysis from Phase 1. The third phase aims to develop supplier assessment and selection models based exclusively on the environmental and social criteria of CS. This phase employs case studies of two major Canadian companies to develop a sustainable supplier selection model. The dissertation makes numerous contributions to the SSCM field. Taken together, Phase 1 and Phase 2 provide a holistic perspective for a range of interrelated criteria on SSCM; provide corporations and other supply chain partners with opportunities to learn from the best practices and shortcomings of the integration of CS practices into SCM; and encourage thinking and discussion into how the key gaps in the theory and practice of SSCM might be addressed. Phase 3 provides SCM professionals with a contingency-based, effective, and practical bespoke modeling approach to supplier assessment and selection within the context of SSCM.

scholarly journals Visualizing Sustainable Supply Chain Management: A Systematic Scientometric Review

2021 ◽  
Vol 13 (8) ◽  
pp. 4409
Author(s):  
Zhiwen Su ◽  
Mingyu Zhang ◽  
Wenbing Wu
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Circular Economy ◽  
Intellectual Structure ◽  
Sustainable Supply Chain ◽  
Chain Management ◽  
Sustainable Supply Chain Management ◽  
Emerging Trends ◽  
Sustainable Supplier Selection ◽  
Research Hotspots

Sustainable supply chain management (SSCM) has been attracting extensive attention from both practitioners and scholars. The main objective of this paper is to visualize and conduct a systematic scientometric review on 9151 articles and reviews published from 2007 to 2021. Research techniques of co-author analysis, co-word analysis, and co-citation analysis are applied to reveal the social structure, conceptual structure, and intellectual structure of the SSCM field, identify main concepts and research hotspots, and illuminate major specialties and emerging trends. The results of this work show that: (1) the top five most productive scholars are Joseph Sarkis, Kannan Govindan, Minglang Tseng, Angappa Gunasekaran, and Charbel Jose Chiappetta Jabbour. The top five most productive institutions are Hong Kong Polytech University, Islamic Azad University, University of Southern Denmark, Dalian University of Technology, and University of Tehran. (2) The main concepts include sustainable supply chain management, green supply chain management, circular economy, corporate social responsibility, and reverse logistics. The research hotspots of the SSCM field, currently, are game theory and circular economy related topics. (3) The leading researchers and influential journals are also identified. The emerging trends include sustainable supplier selection, circular economy, cap-and-trade regulation, blockchain technology, big data analytics, the COVID-19 pandemic, and the best-worst method and logistics performance. Finally, limitations and future researches are discussed. We expect this paper will show a big picture of the SSCM field for researchers as well as practitioners.

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