Abstract The problem of controlling the production rates of failure prone manufacturing systems has stochastic features that make it more complex and challenging. In this study, we consider a network of manufacturing machines based on the hedging point policy where the final goods are perishable, and the demand rate is constant. Our objective in this paper is to control the production rates of multiple machines in failure prone manufacturing systems in the presence of perishable goods in order to minimise the expected cost consisting of holding, shortage, perished goods and repair costs over an infinite horizon. We develop a new framework by way of a simulation-optimisation approach to deal with complexity and uncertainty. To this end, we first formulate the analytical model subject to stochastic failures and corrective repairs. Then, we use a combination of simulated annealing metaheuristic, simulation and Taguchi experimental design to estimate the optimal control policy. In addition, a numerical example is presented to illustrate the applicability and efficacy of the proposed framework.

中文翻译：

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具有易腐烂货物的易网络故障制造系统的生产计划优化控制和仿真

摘要 控制易发生故障的制造系统的生产率的问题具有随机特征，使其更加复杂和具有挑战性。在这项研究中，我们考虑了一个基于对冲点策略的制造机器网络，其中最终产品易腐烂，并且需求率是恒定的。我们在本文中的目标是在存在易腐烂货物的情况下控制容易发生故障的制造系统中多台机器的生产率，以便在无限范围内最大限度地减少包括持有、短缺、腐烂货物和维修成本在内的预期成本。我们通过模拟优化方法开发了一个新框架来处理复杂性和不确定性。为此，我们首先制定了受随机故障和纠正性维修影响的分析模型。然后，我们使用模拟退火元启发式、模拟和田口实验设计的组合来估计最优控制策略。此外，还提供了一个数值例子来说明所提出框架的适用性和有效性。