Abstract
This research aimed to present a solution to the problem of production scheduling and assignment in broiler farms, which thus enabled the farms to achieve maximum profit. In the operation of farms, there are many factors that affect profits, such as the number of broilers being consistent with the demand of production plants, including profits from the sales and transportation costs. Therefore, we formulated a mathematical model and tested it while using three problem groups through the Lingo v.11 program. The results indicated that this mathematical model could find a suitable solution. However, finding the best solution had time constraints, which resulted in various other problems that prevented a search for an optimal solution due to time consumption exceeding 72 h. We developed an algorithm using the Adaptive Large Neighborhood Search (ALNS) method in order to find another possible solution using a shorter time period, which consisted of ALNS1, ALNS2, and ALNS3. These algorithms are based on a combination of the method of destruction solutions and methods accepting different solutions. We aimed to effectively solve the problems and ensure that they are appropriate for the case study, a broiler farm in Buriram. When comparing the algorithm efficiency with the Lingo v.11 program, it was found that the ALNS1 algorithm was the most suitable for finding the optimal solution in the shortest time, which resulted in a 5.74% increase in operating profits.
Highlights
Open innovation is formulated to drive the success of a company, while using outside information as well as inside information
From the literature mentioned above, we found that the solution of the Adaptive Large Neighborhood Search (ALNS) algorithm was effective
Three ALNS algorithms were tested: (1) ALNS-1, which is ALNS using Equation 8 to determine the probability of obtaining the worse solution to use for the iteration; (2) ALNS-2
Summary
Open innovation is formulated to drive the success of a company, while using outside information as well as inside information. Production plants the agricultural industry [2] They presented a special case of the generalized assignment problem determine the chicken demand in each planning period. This study uses the ALNS algorithm to solve the scheduling and assignmentassignment problems for broiler the agricultural industry [2] They presented a special case of the generalized problem farms in Buriram. We present a or meat farms, been studied by some researchers, such as in Mohaddes [6],published who tried so to reduce the new design forhas a destroy operator, which does not appear any article far in the productionwhich cost ofisgrowing chickens by finding theoperator. The ALNS algorithm solvetothe scheduling and assignment problems the for optimalfarms farm size, so that feed consumption, and profitability chicken be broiler in Buriram.
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