A Coherent Data Envelopment Analysis to Evaluate the Efficiency of Sustainable Supply Chains

Jomthanachai, Suriyan; Wong, Wai Peng; Lim, C. P.

doi:10.1109/tem.2020.3046485

Cited by 9 publications

(5 citation statements)

References 55 publications

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“…Besides that,

is a slack of the transformed value. Model 3 can be used to evaluate any sub-chain with a dual-stage link, such as the only sub-chain of the midstream and downstream without any upstream (see Jomthanachai et al, 2021 ). The properties of CoDEA and simulation run are shown in Appendix A .…”

Section: Methodology and Datamentioning

confidence: 99%

“…These network structures, such as transportation, logistics, and supply chain system, involve a comprehensive range of inter-linked metrics ( Zhu, 2020 ). Various network DEA models have been improved to deal with the complex supply chains which include a coherent DEA (CoDEA) model from previous research that operates on the virtual inter-linked concept ( Jomthanachai et al, 2021 ).…”

Section: Literature Reviewmentioning

confidence: 99%

“…CoDEA is proposed for evaluation of the global supply chain efficiency. This method could evaluate a complex supply chain without the presence of intermediate measures ( Jomthanachai et al, 2021 ). The concept of CoDEA ( Fig.…”

Section: Literature Reviewmentioning

confidence: 99%

“…We enhanced this evaluation using the CoDEA model which is based on the traditional DEA calculation that encapsulates an intramural structure for the evaluation of the efficiency score of the supply chain ( Chen & Yan, 2011 ). CoDEA avoids the intermediate measures between nodes and the virtual intermediate measure or the efficiency score of previous nodes are replaced ( Jomthanachai, Wong, & Lim, 2021 ). CoDEA is the alternative for the evaluation of the supply chain performance in any perspective where vulnerability can be applied.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A global trade supply chain vulnerability in COVID-19 pandemic: An assessment metric of risk and resilience-based efficiency of CoDEA method

Jomthanachai

Wong

Soh

et al. 2022

Research in Transportation Economics

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The COVID-19 pandemic has an adverse impact on the global trade supply chain. Countries where the economy is driven by global trade, either as exporters or importers and are faced with the problem of declining imports and exports. This is due to the interruption of the main players of the global supply chain (i.e., production, logistics and transportation sector) as well as the slow-down in consumption of overseas customers. This paper presents the development of an efficiency related metric from the Coherent Data Envelopment Analysis (CoDEA) method for assessing the vulnerability (or conversely, the robustness) levels of the supply chain system of six ASEAN countries. The results reveal that Thailand is most vulnerable to international supply chain issues indicated by its lowest efficiency score. This is due to Thailand's severe disruption of logistics and transportation systems compared with its neighboring countries. In contrast, Vietnam is the most robust because of its efficiency in the exports sector. Our research reveals that trading partners with a lower risk and the ability to rapidly recover their import volume reflect their less vulnerable supply chains. This research provides the associated strategies to establish a resilient global supply chain in spite of the COVID-19 pandemic.

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“…Besides that,

Section: Methodology and Datamentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A global trade supply chain vulnerability in COVID-19 pandemic: An assessment metric of risk and resilience-based efficiency of CoDEA method

Jomthanachai

Wong

Soh

et al. 2022

Research in Transportation Economics

Self Cite

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show abstract

“…Rajak et al [36] proposed an integrated DEA enhanced Russell measure model to evaluate the performance of transportation systems to minimize sustainability-related costs (e.g., cost of energy consumption and CO2 emission). Jomthanachai et al [37] introduced an alternative coherent DEA with a representation of the intramural structure for measuring the efficiency of an SSC. This model can avoid the intermediate measures among different nodes in the SC.…”

Section: Introductionmentioning

confidence: 99%

A Developed Data Envelopment Analysis Model for Efficient Sustainable Supply Chain Network Design

2021

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In recent years, various organizations have focused on considering the sustainability concept in the supply chain (SC) design. Managers try to increase the sustainability of SCs to achieve a competitive advantage in today’s growing market. Designing a sustainable supply chain (SSC) by integrating economic, social, and environmental dimensions affects the SC’s overall performance. To achieve the SSC, decision makers (DMs) are required to evaluate different strategies and then apply the most effective one to design SC networks. This study proposes an assessment approach based on the network data envelopment analysis (DEA) to choose an efficient strategy for each stage of an SSC network. This approach seeks to provide a sustainable design with DMs to avoid imposing additional costs on SCs that result from noncompliance with environmental and social issues. To this end, we consider sustainability-concept-related inputs and outputs in the network DEA model to choose the most efficient strategy for SSC design. The strategy selection process can become an important issue, especially when SCs active in a competitive environment. Accordingly, a crucial feature of the presented model is considering the issue of competition to choose the efficient strategy. Furthermore, undesirable outputs and feedbacks and independent inputs and outputs for intermediate stages in the network system are considered to create a structure compatible with the real world. The output of the proposed approach enables DMs to select the appropriate strategy for each stage of the SSC network to maximize the aggregate efficiency of the network.

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A study into the sustainability efficiency of supply chain network based on economic, social, and environmental trade-offs

et al. 2022

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A Coherent Data Envelopment Analysis to Evaluate the Efficiency of Sustainable Supply Chains

Cited by 9 publications

References 55 publications

A global trade supply chain vulnerability in COVID-19 pandemic: An assessment metric of risk and resilience-based efficiency of CoDEA method

A global trade supply chain vulnerability in COVID-19 pandemic: An assessment metric of risk and resilience-based efficiency of CoDEA method

A Developed Data Envelopment Analysis Model for Efficient Sustainable Supply Chain Network Design

A study into the sustainability efficiency of supply chain network based on economic, social, and environmental trade-offs

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