The Mixed Integer Programming Model for Outbound Truck Arrangement A Case Study of Beverage Distribution Firm

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รักน้อย อัครรุ่งเรืองกุล นราธิป สุพัฒน์ธนานนท์ เอกวิทย์ พิมพ์ปัจฉิม


This research aims to present a truck arrangement in order to minimize transportation cost. A case study is a large beverage distribution company in Thailand.  The company transports the product from a regional distribution center (Northeastern) to the 18 sub warehouses with five different sizes of truck. A truck arrangement was complex and inappropriate resulted in a waste cost. This research purposes a Mixed Integer Linear Programming Model (MILP) to solve problem. This Model was evaluated on LINGO 11.0 and validated by comparing the answers obtained from the program with the case study. The truck selection needs the same four maximum demands.
It was found that the model was accurate and could be answered in accordance with
the objectives of the research. The result demonstrates that the purpose method decreased
the transportation cost 11.34 percent or 3,203,951.55 Baht per year.


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อัครรุ่งเรืองกุลร., สุพัฒน์ธนานนท์น., & พิมพ์ปัจฉิมเ. (1). The Mixed Integer Programming Model for Outbound Truck Arrangement A Case Study of Beverage Distribution Firm. Journal of Industrial Technology Ubon Ratchathani Rajabhat University, 9(1), 41-54. Retrieved from
Research Article


[1] Kasikorn Research Center. Industry Solution Foods and Beverages 2015 [Internet]. 2017 [cited 2017 July 30] available form: (in Thai)
[2] Office of the National Economic and Social Development Board. Thailand’s Logistics Report 2015 [Internet]. 2015 [cited 2017 August 25] available form: link.php?nid =6097 (in Thai)
[3] Office of Transport and Traffic Policy and Planning. Transportation Database of Office of Transport [Internet]. 2011 [cited 2017 May 8] available form: http:// link.php?nid=3265 (in Thai)
[4] D. Zhuge, S. Yu, L. Zhen and W. Wang, Multi-period distribution center location and scale decision in supply chain network, Computers & Industrial Engineering, vol. 101, pp. 216-226, 2016.
[5] V. Kayvanfar, S. M. M. Husseini, B. Karimi and M. S. Sajadieh, Bi- objective intelligent water drops algorithm to a practical multi-echelon supply chain optimization problem, Journal of Manufacturing Systems, vol. 44, pp. 93-114, 2017.
[6] W. Koontasing and S. Preechawa, An Analysis of the Transportation Cost: A Case Study of K & K Drinking Water Enterprise, The 9th KU-KPS Conference, vol. 9, pp. 1743-1749, 2012. (in Thai)
[7] R. Suwipat. Transportation Cost Reduction in Cylinder Liquid Propane Gas Retail Business, Independent Study of Chiang Mai University, 2554. (in Thai)
[8] K. Choodthong, A Comparative Study of The Logistic Cost on Transportation of Rubber Exported from Upper Northeast Thailand to China Between Present Route Through Laemchabang Port in Thailand and Future Route Through Laos And Port in Vietnam, Thai VCML 13, Khon Kaen, vol. 13(1), pp. 233-241, 2013. (in Thai)
[9] A. Kengpol, Design of a decision support system to evaluate logistics distribution network in Greater Mekong Subregion Countries, Int. J. Production Economics, vol.. 115, pp. 388-399, 2008.
[10] T, Simajaruk, S. Srisasaluk, S. Pattarapunsin and P. Klomjit, The Transportation Cost Reduction: A Case Study of Chemical Industry., Thai VCML 2009, Chonburi, vol. 9, pp. 213 – 224. (in Thai)
[11] P. Sasikumar, G. Kannan and A. N. Haq, A multi-echelon reverse logistics network design for product recovery-a case of truck tire remanufacturing, Int J Adv Manuf Technol, vol. 49, pp. 1223-1234, 2010.
[12] C. Monthatipkul, “ A Practical Heuristic for Economic Truck Selection A Case Study of Paper wholesaler in Bangkok,” Thammasat International Journal of Science and Technology, vol. 20, pp. 39-46, 2015.
[13] D.G. Mogale, S. K. Kumar, F. P. G. Márquez, and M. K. Tiwari, Bulk Wheat Transportation and Storage Problem of Public Distribution System, Computers & Industrial Engineering, vol. 104, pp. 80-97, 2017.
[14] P. Bahrampour, M. Safari and M. B. Taraghdari, Modeling Multi-Product Multi-Stage Supply Chain Network Design, Procedia Economics and Finance, vol. 36, pp. 70-80, 2016.

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