House Size Determination for Poultry Production

Sethanan, Kanchana; Theerakulpisut, Somnuk; Pakdeeying, Warinthorn; Neungmatcha, Woraya

doi:10.1166/asl.2013.5217

Cited by 3 publications

(2 citation statements)

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“…Technical efficiency of farms decreased at the beginning and then increased with the increasing farm size (4) . focused on determining the appropriate size of pullet and hen house by using neighborhood search and genetic algorithms to determine the number of pullet and hen houses (5) . Sethanan et al…”

Section: Literature Reviewmentioning

confidence: 99%

Differential Evolution Algorithm for House Size Determination In a Poultry Production

Sriputthimeth

Sethanan

Moonsri

2016

The Proceedings of the 4th International Conference on Industrial Application Engineering 2016

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This study focuses on determining size (or capacity) and an appropriate number of hen houses for raising chicks in each week along the planning horizons. The chicks are raised in pullet farms until the age of 17 weeks. These pullets are then moved to hen houses and fed to a prescribed body weight to support egg production, and remain in the hen houses until they reach 75 weeks of age. Normally, the capacities of the pullet and hen houses are heterogeneous depending on the level of investment of contract farms. The complexity of poultry production that there are different sizes of pullet and hen houses then the different ages of hen could be mixed then the production cost get higher because hen will be slaughtered earlier than their ages. The problem is to determine how many hen houses to set up, new hen house to build and determine the capacity of them to cover changing trends in demand and/or cost. The purposed DE algorithm was developed to minimize the total cost including cost of open hen house, cost of ordering hen and cost of mix aged hen and also meet the demands over the planning horizons. Finally the metaheuristics using differential evolution (DE) was developed then the solutions compared to the lower bound. The results of DE algorithms have heuristics performance 87.28% to 92.73% and the average is 89.69%

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Section: Literature Reviewmentioning

confidence: 99%

Differential Evolution Algorithm for House Size Determination In a Poultry Production

Sriputthimeth

Sethanan

Moonsri

2016

The Proceedings of the 4th International Conference on Industrial Application Engineering 2016

Self Cite

View full text Add to dashboard Cite

show abstract

“…Recently, there has been some research that has proposed planning processes for proper and efficient management of poultry farm activities in order to minimize production costs. For example, Sethanan et al (2013a) focuses on determining the appropriate size (capacity) of the pullet and hen houses to yield lower production costs in the long run, within the economic constraints and different demand volumes in a planning horizon. The genetic algorithm and neighborhood search methods were used to determine the number of pullet and hen houses.…”

Section: Literature Reviewmentioning

confidence: 99%