Vipul Jain

Supplier selection using fuzzy AHP and TOPSIS: a case study in the Indian automotive industry

Supplier selection is one of the key activities of purchase management in supply chain. Supplier selection is a multifaceted problem relating qualitative and quantitative multi-criteria. This paper deals with a supplier selection problem in an Indian automobile company. The work presents selection of headlamp supplier using integrated fuzzy multi-criteria decision-making approaches: analytical hierarchy process (AHP) and technique for order of preference by similarity to ideal solution (TOPSIS). The selection process starts with identifying the criteria based on literature review and interviewing industry experts. Weights to criteria are assigned using AHP, and suppliers are ranked using AHP and TOPSIS. Consistency tests are carried out to check the quality of expert’s inputs. Also, sensitivity analysis is done to check the robustness of the approach. The results address that fuzzy approaches could be effective and more accurate than the existing approaches for supplier selection problems.

Supply chain resilience: model development and empirical analysis

The purpose of this study is to develop a hierarchy-based model for supply chain resilience (SCRES), explaining the dynamics between various enablers and validating the model empirically. Literature review and a survey identified the enablers. Interpretive structural modelling (ISM) is used to analyse the levels of relationships among enablers. Based on their driving power and dependence, these enablers are also classified into different categories. Structural equation modelling is used to validate the hierarchical SCRES model and test the path analytical model. The study provides empirical justification for a framework that identifies 13 key enablers of resilient supply chain practices and describes the relationship among them using ISM. It also classifies them using Matrix of Cross Impact Multiplications Applied to Classification analysis on the basis of their driver power and dependence. The key finding is that using the proposed model, organisations can enhance their resilience potential by modifying their strategic assets. The model was tested using rigorous statistical tests including convergent validity, discriminant validity and reliability. The holistic view offered by the proposed model depicts the relationship among enablers to achieve SCRES.

Corrigendum to “Designing an integrated AHP based decision support system for supplier selection in automotive industry” Expert Systems with Applications 62 (2016) 273–283

a Industrial Engineering and Engineering Management Department, College of Engineering, University of Sharjah, P. O. Box 27272, Sharjah, UAE b Operations and Supply Chain Management Department, Opus College of Business, University of St. Thomas, 10 0 0 LaSalle Avenue, Minneapolis, MN 55403, USA c Victoria Business School, Victoria University of Wellington, 23, Lambton Quay, Pipitea Campus, Wellington 6140, New Zealand

Information system selection for a supply chain based on current trends: the BRIGS approach

Information systems are very crucial in today’s organizations, and hence the selection of the right system has become a very critical decision. As time has progressed, with new issues affecting the supply chain and the performance metrics being continually rewritten, the responsibility of the information systems has increased manifold. Nowadays, information systems are expected to perform a number of functions such as information security, big data handling, green supply chain and risk management and thus the basic problem of system selection is now more complex. Also, adding to the complexity is the fact that these new issues are interdependent and most of the times influence other issues in a variety of direct or indirect ways. This study addresses this problem by proposing a new model for information system selection by incorporating the latest trends in the supply chain. It also proposes an integrated methodology, to solve such a problem where interdependence between criteria exists. The advantages of this methodology over other existing techniques are delinking the evaluation of interdependent criteria weights from performance evaluation, flexibility of inputs, ability to handle vagueness and uncertainty in judgements. The methodology is illustrated using a numerical example.

Sustainable supply chain management: A review of literature and implications for future research

Purpose The business enterprises are increasingly focusing on buying and supplying of products and services in a manner to reduce the adverse impacts on the environment, society, and economy. In view of the above, the concept of sustainable supply chain management (SSCM) has received attention of the industry and academia due to its importance on environmental, social and corporate responsibility through economic performance. The paper aims to discuss these issues. Design/methodology/approach The structured literature review attempts to map the various theories in the SSCM literature from the perspectives of economic performance, environmental dimensions, and social values and ethics. Findings As supply management is vital for enhancing organizational competitiveness, the present work attempts to investigate the theoretical perspectives in SSCM to develop an understanding of the current research activities and future potentials. Practical implications This work aims to gain a number of valid insights for the practitioners and the researchers. It also focuses on the perspectives of governance mechanisms for successful implementation SSCM practices in the business enterprises. Originality/value As the theory building initiatives with implications on the conceptualization of SSCM is limited in literature, this work has also been able to identify the trends and relevant research gaps to define the potential areas for future research.

Reverse logistics service provider selection: A TOPSIS-QFD approach

Reverse logistics is an activity associated with a product/service after the point of sale, the ultimate goal to optimize or make more efficient aftermarket activity. Enterprises that have implemented reverse logistics have been able to enhance consumer service and response times, minimize environmental influences by minimizing waste and enhance complete corporate citizenship. In this connection, this project formulates the RL service provider selection as a multi-criteria decision making problem and develops a methodology to select the best reverse logistics service provider for injection molding parts manufacturing company using Technique for Order Preference by similarity to Ideal Solution (TOPSIS) and integrating it with Quality function deployment (QFD).