论文标题
优化集成多产品过程和维护计划(IPPMP)模型的总生产和维护成本
Optimizing the Total Production and Maintenance Cost of an Integrated Multi-Product Process and Maintenance Planning (IPPMP) Model
论文作者
论文摘要
如今,一个竞争性的制造环境对现代公司施加了进一步的生产成本。在生产和维护计划中寻求适当的建议是有效生产组织的两个基本基石。在当前的研究中,我们考虑了在容易被随机崩溃的电容机上进行综合的多产品过程和维护计划的问题。维护过程包括一般完美维修(非周期性)作为预防性维护(PM),并在早期阶段和最小修复中,作为机器故障的纠正维护。此外,问题陈述反映了合理的推定,其中PM的时间和成本与先前的完美维修和当前PM之间的间隔有关。本文提供的目的是最大程度地降低PM随附的生产成本,因此,已经构建了一个混合智能线性编程(MILP)模型以铺平道路。该模型在机器年龄效应的两种情况下进行了研究。结果表明,机器年龄效应的存在导致准确,减少总成本计算。
Today, a competitive manufacturing environment imposes further production cost reduction on modern companies. Seeking proper recommendations in production and maintenance planning are the two essential cornerstones of effective production organizations. In the current research, we have considered the problem of integrated multi-product process and maintenance planning on a capacitated machine that is susceptible to random breakdown. Maintenance processes comprise general perfect repair (non-cyclical) as preventive maintenance (PM) in the early stages and minimal repair as corrective maintenance for the occurrence of machine breakdown. Furthermore, a rational presumption is reflected in the problem statement in which the time and cost of PM are pertinent to the interval between the prior perfect repair and current PM. The purpose served by this paper is to minimize the cost of production accompanying PM, and the expected corrective repair, consequently, a mixed-integer linear programming (MILP) model has been constructed to pave the way. The model investigated under two circumstances of the machine age effect and its absence. The outcome depicted that the presence of the machine age effect led to an accurate and lessen total cost calculation.