Transportation Planning with Mathematical Models: A Case Study in Inbound Transportation
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Abstract
This research aims to solve the problem of multiple inbound freight planning. The problem includes the process of assigning trucks to distribution centers, the procedures for assigning a distribution center to raw materials or production sources and the procedure for assigning products to the distribution center. It applies the Mixed Integer Linear Programming (MILP). From preliminary data study, it found that the conditions and problems of the company, the case study can be used to represent the same problem. Considering the transportation of multi factors such as trucks of various sizes, various sources of production and various distribution centers, etc. Writing a set of instructions on the LINGO 11.0 program and evaluating with a set of real problem needs samples of 3 sets. The case study company can reduce the freight cost by 21.21 percent or equivalent to approximately 15,320,664 baht per year.
Article Details
Articles published in Journal of Industrial Technology Ubon Ratchathani Rajabhat University both hard copy and electronically are belonged to the Journal.
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