The findings of the study reflect mode, fleet, vehicle and speed flexibility as the significant flexibility measures for freight transportation.
Authors
Ashish Dwivedi, Professor,Jindal Global Business School, O.P. Jindal Global University, Sonipat, Haryana, India.
Vipulesh Shardeo, Department of Operations and Analytics, Lal Bahadur Shastri Institute of Management, Delhi, India; Department of Management Studies, Indian Institute of Technology Delhi, India.
Anchal Patil, School of Business and Management, Christ (Deemed to be University), Bangalore, India; Department of Management Studies, Indian Institute of Technology Delhi, India.
Jitender Madaan, Department of Management Studies, Indian Institute of Technology Delhi, India.
Summary
Unpredicted disruptions force organisations to ensure flexibility for fulfilling customer demand. Enabling flexibility along the transportation system is the most suitable solution for unpredictable disruptions. Flexibility, being a potential element, requires more attention to gain competitive advantages.
In this study, an effort has been made to investigate different transport flexibility measures (TFMs) related to freight transportation. Initially, an extensive literature survey is performed to identify different TFMs linked with the supply chain and logistics domain. Further, an integrated fuzzy best-worst method (FBWM) has been adopted to prioritise the identified TFMs and sensitivity analysis is performed to ensure robustness of the model.
The findings of the study reflect mode, fleet, vehicle and speed flexibility as the significant flexibility measures for freight transportation. This study will help practitioners, managers and decision-makers associated with freight transportation to make better decisions to ensure flexibility in the freight transportation system.
Published in: International Journal of Logistics Systems and Management
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