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Efficiency Optimization for Operational Performance in Green Supply Chain Sourcing Using Data Envelopment Analysis: An Empirical Study

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Proceedings of the 18th International Conference on Computing and Information Technology (IC2IT 2022) (IC2IT 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 453))

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Abstract

This research aims to analyze the Technical Efficiency (TE) of the Participatory Guaranteed System (PGS)-certified farmers in the green supply chain network at Ubon Ratchathani Province. Linear optimization programming-based Data Envelopment Analysis (DEA) technique is used to evaluate selective samples of farmers collected from purposive sampling technique. In particular, data are initially collected from 61 farmers using questionnaire to gather 8 input criteria (i.e., IC1) planting area, IC2) number of the vegetable types, IC3) cost of fertilizers or soil, IC4) cost of seed, IC5) labor cost, IC6) transportation cost, IC7) cost of fuel used in agricultural machinery, and IC8) machinery maintenance costs) and 2 output criteria (i.e., OC1) income from sales of crop inputs, such as compost, planting soil, seeds, and OC2) income from sales of produced crops), respectively. Then, participatory farmers’ operational performances are analyzed based on an overall efficiency for comparative study, in which about 34% of all farmers are found to be overall efficient. Next, an assess based on the cluster of district location for 8 districts shows that there are 2 districts operated with full efficiency (i.e., 1.00), 4 districts operated with high efficiency (i.e., 0.801–0.999), and 2 districts with medium efficiency (i.e., 0.601–0.800). Our initial results are to be used to guide the development of decision-support logistical system of location-routing optimization in the green supply chain, which is an on-going study of our research.

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References

  1. Khan, S.A.R., Yu, Z., Golpira, H., Sharif, A., Mardani, A.: A state-of-the-art review and meta-analysis on sustainable supply chain management: future research directions. J. Clean. Prod. 278, 123357 (2021)

    Article  Google Scholar 

  2. Fritz, M.M., Rauter, R., Baumgartner, R.J., Dentchev, N.: A supply chain perspective of stakeholder identification as a tool for responsible policy and decision-making. Environ. Sci. Policy 81, 63–76 (2018)

    Article  Google Scholar 

  3. Wattanasaeng, N., Ransikarbum, K.: Model and analysis of economic-and risk-based objective optimization problem for plant location within industrial estates using epsilon-constraint algorithms. Computation 9(4), 46, 1–22 (2021)

    Google Scholar 

  4. Ransikarbum, K., Chaiyaphan, C., Pataratanased, R.: Analysis of logistical aspect of food-safety system in the green supply chain using vehicle routing problem model. In: 2021 Research, Invention, and Innovation Congress: Innovation Electricals and Electronics (RI2C), Bangkok, pp. 48-53. IEEE (2021)

    Google Scholar 

  5. Maditati, D.R., Munim, Z.H., Schramm, H.J., Kummer, S.: A review of green supply chain management: from bibliometric analysis to a conceptual framework and future research directions. Resour. Conserv. Recycl. 139, 150–162 (2018)

    Article  Google Scholar 

  6. Kaliani Sundram, V.P., Rajagopal, P., Bahrin, A.S., Subramaniam, G.: The role of supply chain integration on green practices and performance in a supply chain context. A conceptual approach to future research. Int. J. Supply Chain Manag. 7(1), 95–104 (2018)

    Google Scholar 

  7. Montefrio, M.J.F., Johnson, A.T.: Politics in participatory guarantee systems for organic food production. J. Rural Stud. 65, 1–11 (2019)

    Article  Google Scholar 

  8. Ransikarbum, K., Pitakaso, R., Kim, N., Ma, J.: Multicriteria decision analysis framework for part orientation analysis in additive manufacturing. J. Comput. Des. Eng. 8(4), 1141–1157 (2021)

    Google Scholar 

  9. Ransikarbum, K., Pitakaso, R.: Relative efficiency analysis of biomass agricultural plants using data envelopment analysis. In: E3S Web of Conferences, no. 302. EDP Sciences (2021)

    Google Scholar 

  10. Ransikarbum, K., Pitakaso, R., Kim, N.: Evaluation of assembly part build orientation in additive manufacturing environment using data envelopment analysis. In: MATEC Web of Conferences, Vol. 293, p. 02002. EDP Sciences (2019)

    Google Scholar 

  11. Puchongkawarin, C., Ransikarbum, K.: An integrative decision support system for improving tourism logistics and public transportation in Thailand. Tour. Plann. Dev. 18(6), 614–629 (2021)

    Article  Google Scholar 

  12. Chanthakhot, W., Ransikarbum, K.: Integrated IEW-TOPSIS and fire dynamics simulation for agent-based evacuation modeling in industrial safety. Safety 7(2), 47 (2021)

    Article  Google Scholar 

  13. Ransikarbum, K., Khamhong, P.: Integrated fuzzy analytic hierarchy process and technique for order of preference by similarity to ideal solution for additive manufacturing printer selection. J. Mater. Eng. Perform. 30(9), 6481–6492 (2021). https://doi.org/10.1007/s11665-021-05816-y

    Article  Google Scholar 

  14. Ransikarbum, K., Leksomboon, R.: Analytic hierarchy process approach for healthcare educational media selection: additive manufacturing inspired study. In: 2021 IEEE 8th International Conference on Industrial Engineering and Applications (ICIEA), pp. 154–158. IEEE (2021)

    Google Scholar 

  15. Emrouznejad, A., Banker, R.D., Neralic, L.: Advances in data envelopment analysis: celebrating the 40th anniversary of DEA and the 100th anniversary of Professor Abraham Charnes’ birthday. Eur. J. Oper. Res. 278(2), 365–367 (2019)

    Article  MathSciNet  Google Scholar 

  16. LINDO. https://www.lindo.com/. Accessed 10 Oct 2020

  17. Dyson, R.G., Allen, R., Camanho, A.S., Podinovski, V.V., Sarrico, C.S., Shale, E.A.: Pitfalls and protocols in DEA. Eur. J. Oper. Res. 132(2), 245–259 (2001)

    Article  Google Scholar 

  18. Ransikarbum, K.: Decision Analysis for Engineering. Chulalongkorn University Printing House, Bangkok (2021). (in Thai)

    Google Scholar 

  19. Pineda, P.J.G., Liou, J.J., Hsu, C.C., Chuang, Y.C.: An integrated MCDM model for improving airline operational and financial performance. J. Air Transp. Manag. 68, 103–117 (2018)

    Article  Google Scholar 

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Acknowledgement

This research was supported by the Office of National Higher Education Science Research and Innovation Policy Council (PMUA) under project “Development of Logistics Management System and Technology Transfer for Food-Safety in Green Supply Chain in Ubonratchathani” (Grant number A15F640061). We note that the opinions expressed are those of the authors and do not necessarily reflect the views of the funding agencies.

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Authors and Affiliations

  1. Ubon Ratchathani University, Ubon Ratchathani, Thailand

    Kasin Ransikarbum, Chewaphorn Chaiyaphan & Sombat Sinthuchao

  2. Surindra Rajabhat University, Surin, Thailand

    Siwaporn Suksee

Authors
  1. Kasin Ransikarbum
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  2. Chewaphorn Chaiyaphan
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  3. Siwaporn Suksee
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  4. Sombat Sinthuchao
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Corresponding author

Correspondence to Kasin Ransikarbum .

Editor information

Editors and Affiliations

  1. Faculty of IT and Digital Innovation, King Mongkut's University of Technology North Bangkok, Bangkok, Thailand

    Phayung Meesad

  2. Faculty of IT and Digital Innovation, King Mongkut's University of Technology North Bangkok, Bangkok, Thailand

    Sunantha Sodsee

  3. Faculty of IT and Digital Innovation, King Mongkut's University of Technology North Bangkok, Bangkok, Thailand

    Watchareewan Jitsakul

  4. Faculty of IT and Digital Innovation, King Mongkut's University of Technology North Bangkok, Bangkok, Thailand

    Sakchai Tangwannawit

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Ransikarbum, K., Chaiyaphan, C., Suksee, S., Sinthuchao, S. (2022). Efficiency Optimization for Operational Performance in Green Supply Chain Sourcing Using Data Envelopment Analysis: An Empirical Study. In: Meesad, P., Sodsee, S., Jitsakul, W., Tangwannawit, S. (eds) Proceedings of the 18th International Conference on Computing and Information Technology (IC2IT 2022). IC2IT 2022. Lecture Notes in Networks and Systems, vol 453. Springer, Cham. https://doi.org/10.1007/978-3-030-99948-3_15

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