Transportation Problem Solving for Various Trucks Size using Mixed Integer Programming Model: A Case Study of Beverage Distribution Firm

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รักน้อย อัครรุ่งเรืองกุล นราธิป สุพัฒน์ธนานนท์ ระพีพันธ์ ปิตาคะโส ภูริเกษม สุพัฒน์ธนานนท์


The objective of this research was to solve the transportation problem assisted with
the full truck transportation mode. The complexity of the truck arrangement consists of
the variety of sources of productions, trucks, products and transportation routes. The truck arrangement assigned the truck from distribution centers to customers as customer requirement.
The optimal transportation cost was analyzed by the Mixed Integer Programming Model (MIP) and the real cost from the case study at present. However, the robustness of the MIP presented in this research was accepted the performance by a case study of beverage distribution firm. From the comparison of conventional and proposed transport costs, it found that the transportation cost decreases 3.03 percents per year or 5.60 million Baht per year.


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How to Cite
อัครรุ่งเรืองกุลร., สุพัฒน์ธนานนท์น., ปิตาคะโสร., & สุพัฒน์ธนานนท์ภ. (2019). Transportation Problem Solving for Various Trucks Size using Mixed Integer Programming Model: A Case Study of Beverage Distribution Firm. Journal of Industrial Technology Ubon Ratchathani Rajabhat University, 9(1), 69-82. Retrieved from
Research Article


[1] Information Technology and Communication Center, Office of the Permanent Secretary. Final
energy consumption Classified by transportation type [Internet]. 2018 [cited 2018 February 15] available from: (in Thai)
[2] Ministry of Energy. Guidelines for Policy Energy 4.0 [Internet]. 2018. [cited 2018 February 15] available from:
Energy%204.0%20policy.pdf (in Thai)
[3] Choonhakiatsakul A. Transportation Cost Reduction of A Transportation Company: Case Study
of Distribution Center in Phetchaburi Province [thesis]. Bangkok; Thammasat University; 2016.
(in Thai)
[4] Halkin A, Skrypin V, Kush E, Vakulenko K and Dolia V. Invest Approach to the Transportation Services Cost Formation. Procedia Engineering. 2017; 178: 435–442.
[5] Thararoop C. A Logistics Cost Analysis and Cost Reduction: A Case Study of an Industrial Adhesive
Company [thesis]. Bangkok; King Mongkut's University of Technology Thonburi; 2009. (in Thai)
[6] Stock R.J. and Lambert M.D. Strategic Logistics Management 4th ed. Singapore: McGraw-Hill
Irwin; 2001.
[7] Hongqi L, Tan L and Yingrong L. The Combination Truck Routing Problem: A Survey. Procedia
Engineering. 2016; 137: 639–648.
[8] Rungvanichsukkanon T and Lohatepanont M. Multimodal and Consolidation Routing Problem,
The 20th National Convention on Civil Engineering; 2015 July 8-10; The Zign Hotel. Chonburi:
Department of Civil Engineering in King Mongkut's University of Technology North Bangkok;
2015. (in Thai)
[9] Zamenia S and Razmi J. Multimodal Transportation p-hub Location Routing Problem with
Simultaneous Pick-ups and Deliveries. Journal of Optimization in Industrial Engineering. 2015;
17: 17-20.
[10] Sangbok L and Byung Y.J. Comparisons of Traffic Collisions between Expressways and Rural
Roads in Truck Drivers. Safety and Health at Work. 2016; 7: 38-42.
[11] Barahona F and Jensen D. Plant location with minimum inventory. Mathematical Programming.
1998; 83: 101-111.
[12] Pilot C and Pilot S. A Model for Allocated Versus Actual Cost in Assignment and Transportation
Problems. European Journal of Operational Research. 1999; 112: 570-581.
[13] Hinojosa Y, Kalcsics J, Nickel S, Puerto J and Velten S. Dynamic Supply Chain with Inventory.
Computer & Operation Research. 2008; 35: 373-391.
[14] Lijun Z and Xiaohua X. An Integer Programming Approach for Truck-Shovel Dispatching Problem
in Open-Pit Mines. Energy Procedia. 2015; 75: 1779–1784.
[15] He Y, Wu T, Zhang C and Liang Z. An Improved MIP Heuristic for The Intermodal Hub Location
Problem. Omega. 2015; 57: 203–211.

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