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Convex optimisation for aggregate production planning

机译:凸优化用于总生产计划

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This paper presents a new solution approach to the problem of aggregate production planning (APP). As identified by many researchers, the APP cost function is convex and piecewise. Thus, the convex optimisation approach can be applied to the APP problem. Solving the APP problem using convex optimisation is attractive since it leads to an improved solution over the classical solution methods and it can be applied to a wider range of functions. The classical Linear Decision Rule model of APP is solved using convex optimisation and the resulting solution is compared to three solution approaches which have been historically used to solve this model. The results suggest that convex optimisation may be an effective approach for solving certain types of planning models.
机译:本文提出了一种解决总生产计划(APP)问题的新方法。正如许多研究人员所确定的那样,APP成本函数是凸的和分段的。因此,凸优化方法可以应用于APP问题。使用凸优化来解决APP问题很有吸引力,因为它导致了比传统求解方法更好的解决方案,并且可以应用于更广泛的功能。使用凸优化法对APP的经典线性决策规则模型进行求解,并将得到的解与历史上一直用于解决该模型的三种解法进行比较。结果表明,凸优化可能是解决某些类型的计划模型的有效方法。

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