Growing Neural Gas Approach for Minimizing the Total Cost of Hen Allocation to Poultry Farms in Thailand  

Oleh:

Boonmee, Atiwat ; Sethanan, Kanchana ; Arnonkijpanich, Banchar

Jenis: Article from Proceeding
Dalam koleksi: The 14th Asia Pacific Industrial Engineering and Management Systems Conference (APIEMS), 3-6 December 2013 Cebu, Philippines, page 1-10.
Topik: Poultry farms; Hen egg production; Growing Neural Gas; Heuristic algorithm; Minimize total cost
Fulltext: 1276.pdf (370.58KB)

Isi artikel

This paper develops a decision support system to solve problems in allocation of hens to hen houses with the aim of minimizing the total cost, which consists of three components: cost of farms used, hen transportation costs, and loss from mixing hens at different ages in the same hen house. To solve the problem, a two-phase heuristic algorithm was developed. In the first phase, the Growing Neural Gas (GNG) was applied to determine the centroids of the hen houses. The second phase was developed to allocate hens to the hen houses and make routes from pullet houses to hen houses using the nearest neighbor algorithm in order to minimize total distance. Our proposed method was compared with the current practice of a case-study company in northeastern Thailand. The results demonstrate that the proposed method is not only useful for reducing the total cost when compared to the current practice, but also for efficient management of a poultry production system.

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