Sustainability assessment of supply chains by a novel robust two-stage network DEA model: a case study in the transport industry

Fathi, Amirali; Karimi, Balal; Saen, Reza Farzipoor

doi:10.1007/s00500-022-07013-y

Cited by 15 publications

(1 citation statement)

References 98 publications

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“…Chen et al (2021) estimated the ecological impacts on energy efficiency in 30 provinces of China from 2005 to 2016 using a four-stage non-radial DDF approach. Fathi et al (2022) applied multi-stage DEA framework to assess the sustainability of intercity passenger transportation system in Iran while incorporating bad outputs.…”

Section: Studies Related To Energy Efficiency In Transportation Sectormentioning

confidence: 99%

A decentralized production approach to measure fuel performance of bus transportation systems

Kushwaha,

Venkatesh,

Prawesh

2024

Manage Decis Econ

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This paper presents a comprehensive measure of fuel performance, considering economic and environmental factors using Data Envelopment Analysis (DEA). The study uses decentralized production approach, modeling two technology specifications, one with abatement and one without. The study focuses on the Indian public bus transport industry, treating carbon emissions as bad outputs with joint disposability alongside fossil fuels. Additionally, it examines fuel performance drivers through bootstrapped truncated regression. The findings reveal that maintenance practices and vehicle age negatively affect fuel performance, with the latter showing a non‐linear influence. As fuel prices rise, bus company managers increasingly adopt fuel‐saving practices.

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Section: Studies Related To Energy Efficiency In Transportation Sectormentioning

confidence: 99%

A decentralized production approach to measure fuel performance of bus transportation systems

Kushwaha,

Venkatesh,

Prawesh

2024

Manage Decis Econ

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Comprehensive evaluation of passenger road transportation through dynamic network data envelopment analysis: A case study of state road transport undertakings in India

Tiwari

Singh

2023

Manage Decis Econ

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State road transport undertakings (STUs) in India are public utility services that link diverse terrains and remote and hilly areas throughout the country and play a vital role in enhancing public mobility. These organizations are motivated to work through a sense of social responsibility. For example, they operate in low‐revenue‐generating regions to serve the public. Therefore, they require regular performance monitoring and constant efforts toward course corrections. Existing literature on the performance evaluation of STUs ignores the internal structures of the passenger transportation process and treats the process as a “black‐box.” Consequently, it fails to identify the precise cause of inefficiencies, making course corrections in a multistage transportation process difficult. To close this research gap and comprehensively evaluate the performance of STUs, considering their internal structure and based on long‐term optimization, this study employs a slacks‐based dynamic network data envelopment analysis (DNDEA) approach to deconstruct India's publicly owned passenger road transportation process into operations and revenue divisions, subjected to a multiperiod performance evaluation from 2014–2015 to 2017–2018. Moreover, we utilize panel data regression to explore other influential factors not included in the DNDEA, explaining the efficiency variation across STUs. This study is the first to explore the internal structure of STUs in India and perform a comprehensive evaluation of STUs, considering their internal divisions and multiple‐period long‐term optimization. The DNDEA results highlight evidence of capital misallocation in India's public road transport sector. While operational inefficiency can be attributed to improper utilization of resources, price regulation is the major source of inefficiency in the revenue division. Fixed effects panel data regression revealed that STUs with higher bus utilization and passenger lead are more efficient. The contribution of this study lies in its innovative approach of using DNDEA to analyze India's passenger road transportation sector and its inner constructs, providing insights into the efficiency scores of STUs and their dynamic changes in one model. Managers and policymakers can use the findings of this study to revise and frame policies targeted at improving STU efficiency.

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Development of a multi-stage, multi-product solid supply chain network design and solution with meta-heuristic algorithms

Rezaei,

Chaharmahali,

Ghandalipour

et al. 2024

Soft Comput

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Sustainability assessment of supply chains by a novel robust two-stage network DEA model: a case study in the transport industry

Cited by 15 publications

References 98 publications

A decentralized production approach to measure fuel performance of bus transportation systems

A decentralized production approach to measure fuel performance of bus transportation systems

Comprehensive evaluation of passenger road transportation through dynamic network data envelopment analysis: A case study of state road transport undertakings in India

Development of a multi-stage, multi-product solid supply chain network design and solution with meta-heuristic algorithms

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