Abstract
Roads transport lions-share of the freights as they can reach each and every corner of the country. In road freight transport, truck is more preferable due to its advantages over railways due to its ability to reach beyond geographical barriers, quantity barriers, and ease of availability of trucks. In order to achieve efficient and reliable operations of the trucking industry the truck drivers play a vital role. As one of the major issues the trucking industry facing is shortage of truck drivers. The objective of this study is to identify the performance measures and efficiency calculation. In order to this study adopted and hybrid approach by combining Balance Score Card (BSC) and Data Envelopment Analysis (DEA). The present study considers a case of Indian trucking industry, and the efficiency of truck drivers has been calculated. This study helps the organization in reciprocal learning, by focusing on the specific factors or perspectives for efficiency improvement. The results of the study can also be used in strategic implementation to improve the performance of the trucking industry.
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Dadsena, K.K., Sarmah, S.P., Naikan, V.N.A. (2023). Performance Evaluation of Trucking Industry Using BSC and DEA: A Truck Driver’s Perspective. In: Tiwari, M.K., Kumar, M.R., T. M., R., Mitra, R. (eds) Applications of Emerging Technologies and AI/ML Algorithms. ICDAPS 2022. Asset Analytics. Springer, Singapore. https://doi.org/10.1007/978-981-99-1019-9_11
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