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Capacitated production planning with outsourcing in an OKP company

机译:在OKP公司中进行外包的能力强的生产计划

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This paper addresses a dynamic capacitated production planning (CPP) problem in small to medium-sized enterprises (SMEs). These companies practise their businesses based on a manufacturing paradigm called one-of-a-kind production (OKP). Typically, they employ outsourcing in their CPP practice. Therefore, the CPP problem in this paper includes outsourcing, which is called the outsourcing CPP problem. The outsourcing strategy considered in this paper has the following features: (1) outsourcing takes place when the demand exceeds the capacity; (2) all excessive demands are outsourced without backlogging; and (3) production, inventory, and outsourcing levels all have a limit. One important difference of the problem considered in this paper from other problems is that the cost functions are considered arbitrarily time-varying. The outsourcing CPP problem is formulated into an optimization problem which captures the mentioned features. The objective of the problem is to minimize the total cost. It is very likely that there is no solution in our model so we propose a necessary and sufficient condition for feasible solutions. Dynamic programming techniques are employed in searching for a global optimal solution with a pseudo-polynomial time. This paper also presents a case study for a real-life problem in an OKP company to illustrate our approach and to show its effectiveness. The case study has shown that our approach is very effective.
机译:本文解决了中小型企业(SME)的动态生产能力计划(CPP)问题。这些公司基于一种叫做“一种生产”(OKP)的制造范例来开展业务。通常,他们在CPP实践中采用外包。因此,本文中的CPP问题包括外包,即外包CPP问题。本文所考虑的外包策略具有以下特点:(1)当需求超过容量时进行外包。 (2)所有多余的需求都被外包而没有积压; (3)生产,库存和外包水平都有限制。本文所考虑的问题与其他问题的一个重要区别是,成本函数被认为是随时间变化的。外包CPP问题被公式化为一个优化问题,它捕获了上述功能。该问题的目的是使总成本最小化。我们的模型中很可能没有解决方案,因此我们提出了可行解的必要和充分条件。动态编程技术被用于搜索具有伪多项式时间的全局最优解。本文还提供了一个关于OKP公司中的实际问题的案例研究,以说明我们的方法并显示其有效性。案例研究表明,我们的方法非常有效。

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