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Optimisation of the broiler production supply chain

机译:优化肉鸡生产供应链

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摘要

In this paper, we propose a mixed integer programming (MIP) model for the Chicken Flock Sizing, Allocation and Scheduling Problem (CFSASP), which is an important planning problem in the broiler production supply chain. To solve the CFSASP efficiently, two variants of rolling horizon heuristics (RHHs) have been developed and applied on the case of a Norwegian broiler production company. Computational results show that the RHHs successfully obtain high-quality solutions within a reasonable time. The value of optimisation is verified through comparison with the case company's plans, where the solutions from optimisation outperforms the current solutions. Sensitivity analyses are also conducted to provide managerial insights regarding certain strategic decisions, such as how many and which days to use for hatching of chickens. Due to the promising results, the case company is now implementing an optimisation-based decision support system based on the MIP model and solution methods shown in this paper.
机译:在本文中,我们提出了一种混合整数编程(MIP)模型,用于鸡群规模,分配和调度问题(CFSASP),这是肉鸡生产供应链中的一个重要规划问题。为了有效地解决CFSASP,已经开发出了两种滚动地平线启发式(RHHS)的变种,并在挪威肉鸡生产公司的情况下开发和应用。计算结果表明,RHHS在合理的时间内成功获得了高质量解决方案。通过与案例公司的计划进行比较验证了优化的值,其中优化的解决方案优于当前解决方案。还进行了敏感性分析,以提供关于某些战略决策的管理洞察力,例如用于鸡孵化的数量和哪些日子。由于业绩有前途,案例公司现在正在基于本文所示的MIP模型和解决方案方法实现基于优化的决策支持系统。

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