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Combining DEA and ARIMA Models for Partner Selection in the Supply Chain of Vietnam’s Construction Industry

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  • Han-Khanh Nguyen

    (Faculty of Economics, Thu Dau Mot University, Number 6, Tran Van On Street, Phu Hoa Ward, Thu Dau Mot 590000, Vietnam)

Abstract

The competition between enterprises in the construction market is fierce. If enterprises are unable to afford financial and technological capabilities, they could go bankrupt. Therefore, the implementation of alliances between businesses can help increase their competitiveness. In this study, the authors simultaneously used data envelopment analysis (DEA), the Grey model (GM (1,1)), and autoregressive integrated moving average (ARIMA) to choose a suitable strategic partner to boost the strength of each business and cut the cost of transportation and personnel in an attempt to help managers come up with suitable solutions, offer sustainability, and develop creative management. The results show that the chosen solution improves the business efficiency of construction businesses and offers cost savings on materials, production, and transportation. Management agencies can use the results of this study to propose suitable orientations, strengthen decision-making, and ensure strategic planning to develop the construction sector in Vietnam.

Suggested Citation

  • Han-Khanh Nguyen, 2020. "Combining DEA and ARIMA Models for Partner Selection in the Supply Chain of Vietnam’s Construction Industry," Mathematics, MDPI, vol. 8(6), pages 1-20, May.
  • Handle: RePEc:gam:jmathe:v:8:y:2020:i:6:p:866-:d:363500
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    References listed on IDEAS

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    1. Cummins, J. David & Griepentrog, Gary L., 1985. "Forecasting automobile insurance paid claim costs using econometric and ARIMA models," International Journal of Forecasting, Elsevier, vol. 1(3), pages 203-215.
    2. Chia-Nan Wang & Han-Khanh Nguyen & Ruei-Yuan Liao, 2017. "Partner Selection in Supply Chain of Vietnam’s Textile and Apparel Industry: The Application of a Hybrid DEA and GM (1,1) Approach," Mathematical Problems in Engineering, Hindawi, vol. 2017, pages 1-16, November.
    3. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    4. Chia-Nan Wang & Han-Khanh Nguyen, 2017. "Enhancing Urban Development Quality Based on the Results of Appraising Efficient Performance of Investors—A Case Study in Vietnam," Sustainability, MDPI, vol. 9(8), pages 1-22, August.
    5. Min-Chun Yu & Chia-Nan Wang & Nguyen-Nhu-Y Ho, 2016. "A Grey Forecasting Approach for the Sustainability Performance of Logistics Companies," Sustainability, MDPI, vol. 8(9), pages 1-18, August.
    6. Ediger, Volkan S. & Akar, Sertac, 2007. "ARIMA forecasting of primary energy demand by fuel in Turkey," Energy Policy, Elsevier, vol. 35(3), pages 1701-1708, March.
    7. McKenzie, Jordi, 2011. "Mean absolute percentage error and bias in economic forecasting," Economics Letters, Elsevier, vol. 113(3), pages 259-262.
    8. Eric Stellwagen & Len Tashman, 2013. "ARIMA: The Models of Box and Jenkins," Foresight: The International Journal of Applied Forecasting, International Institute of Forecasters, issue 30, pages 28-33, Summer.
    9. Tone, Kaoru, 2002. "A slacks-based measure of super-efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 143(1), pages 32-41, November.
    10. Chia-Nan Wang & Xuan-Tho Nguyen & Yen-Hui Wang, 2016. "Automobile Industry Strategic Alliance Partner Selection: The Application of a Hybrid DEA and Grey Theory Model," Sustainability, MDPI, vol. 8(2), pages 1-18, February.
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    Cited by:

    1. Peter Adekunle & Clinton Aigbavboa & Opeoluwa Akinradewo & Ayodeji Oke & Douglas Aghimien, 2022. "Construction Information Management: Benefits to the Construction Industry," Sustainability, MDPI, vol. 14(18), pages 1-17, September.
    2. Nguyen-Nhu-Y Ho & Phuong Mai Nguyen & Thi-Minh-Ngoc Luu & Thi-Thuy-Anh Tran, 2022. "Selecting Partners in Strategic Alliances: An Application of the SBM DEA Model in the Vietnamese Logistics Industry," Logistics, MDPI, vol. 6(3), pages 1-15, September.
    3. Hassan Younis & Malek Alsharairi & Hammad Younes & Balan Sundarakani, 2023. "The impact of COVID-19 on supply chains: systematic review and future research directions," Operational Research, Springer, vol. 23(3), pages 1-31, September.
    4. Chia-Nan Wang & Phi-Hung Nguyen & Thi-Ly Nguyen & Thi-Giang Nguyen & Duc-Thinh Nguyen & Thi-Hoai Tran & Hong-Cham Le & Huong-Thuy Phung, 2022. "A Two-Stage DEA Approach to Measure Operational Efficiency in Vietnam’s Port Industry," Mathematics, MDPI, vol. 10(9), pages 1-21, April.

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