Transportation management systems of pullet farm using Multifactor Based Evolving Self-Organizing Maps (MESOM)  

Oleh:

Dechampai, D. ; Sethanan, K. ; Tanwanichkul, L. ; Arnonkijpanich, B.

Jenis: Article from Proceeding
Dalam koleksi: The 14th Asia Pacific Industrial Engineering and Management Systems Conference (APIEMS), 3-6 December 2013 Cebu, Philippines, page 1-9.
Topik: Transportation planning; Clustering; Pullet Farm; SOM
Fulltext: 1277.pdf (504.38KB)

Isi artikel

The complications of planning transportation for egg production include the capacity of the farms and their multiple locations, which increase the transportation costs. This research attempts to improve pullet transportation problem solutions by considering a real Thai company, to determine the number of trucks (fleet size) and approximate vehicle routes. The objective is to minimize transportation costs under capacity restriction and multiple depots. In this solution, we have proposed a new architecture of clustering algorithms, which is called the Multifactor Based Evolving Self-Organizing Maps algorithm (MESOM). The proposed technique is based on the traditional Evolving-SOM algorithm. MESOM employs not only the distance factor, but also the capacity factor for solving transportation problem. Furthermore, in this research, the pullet capacity of each farm can be split into two nodes, in order to completely utilize the transportation of each truck. While several studies have suggested heuristic algorithms in VRP, but also have not considered truck utilization and have not applied the SOM and integrated with the split delivery VRP solutions to solve both VRP with capacity restriction and VRP with multiple depots. The results of this method show that the poultry production management costs are used with greater efficiency by maximizing benefits. It is also worthwhile noting that the proposed algorithm could be applied to other types of businesses which have similar operations.

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