Supplier resilience assessment in project-driven supply chains

Abstract

Project-driven supply chains (PDSCs) integrate offsite and onsite supply chain activities and are used to manage complex projects. However, the risks associated with numerous suppliers in a PDSC pose a threat to project performance. To reduce the impact of supplier risks, this study identifies 24 factors and subfactors, derived from extant literature and expert consultation, that promote supplier resilience—supplier’s ability to reduce their vulnerability or to respond effectively to risks. We also propose an approach to measure supplier resilience and apply to New Product Development and Construction projects. Supplier resilience assessment is carried out using grey relational analysis to handle subjectivity and vagueness involved in human judgments. Results show that supplier resilience is sensitive to project context and can be used by managers to assess and select suppliers based on their resilience capabilities. It also allows managers to anticipate risks and proactively work towards enhancing the resilience of PDSC suppliers.

Keywords:

• Project-driven supply chain
• supplier resilience assessment
• supplier risk
• new product development project
• construction project
• grey relational analysis

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

Anjali Shishodia

Anjali Shishodia is working as an Assistant Professor at LMTSM, Patiala, Punjab. She has completed her doctorate in operations management from National Institute of Industrial Engineering (NITIE), Mumbai. She holds a master’s degree in Industrial Engineering from Visvesvaraya National Institute of Technology and bachelor’s degree in Mechanical Engineering. Her teaching and research interests include production and operations management, quantitative techniques, project management and supply chain management. She has presented/ published her work at reputed national/ international conferences/journals of repute-Computers and Industrial Engineering, Production Planning and Control, Benchmarking and Advances in Mechanical Engineering.

Priyanka Verma

Priyanka Verma works as an Assistant Professor at the National Institute of Industrial Engineering (NITIE), Mumbai. Her teaching and research interest includes Supply Chain Modelling, Large-scale Optimisation, Quantitative Modelling in Facility Locations, and Manufacturing Systems. She has presented/ published her work at different national/ international conferences/ journals of repute viz—International Journal of Production Research, Computers and Industrial Engineering, International Journal of Production Economics.

Karuna Jain

Karuna Jain is a Professor of Technology & Operations Management at Shailesh J Mehta School of Management (SJMSOM), Indian Institute of Technology Bombay. She has served as Director, National Institute of Industrial Engineering (2013–2019), Dean SJMSOM IIT Bombay (2007–2012) and MHRD IPR Chair at IIT Bombay (2011–2014). She has published extensively in journals of repute like DSJ, EJOR, NRQ, IJPE, IEEE- TEM, and TFSC to name a few. She has presented her research in national (ORSI SOM, PMIRAC, ISDSI, POMS India) and international conferences (POMS, DSI, IAMOT, PMI).