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A multi-item batch fabrication problem featuring delayed product differentiation, outsourcing, and quality assurance

机译:多项批量制造问题具有延迟产品差异化,外包和质量保证

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Variety, quality, and rapid response are becoming a trend in customer requirements in the contemporary competitive markets. Thus, an increasing number of manufacturers are frequently seeking alternatives such as redesigning their fabrication scheme and outsourcing strategy to meet the client’s expectations effectively with minimum operating costs and limited in-house capacity. Inspired by the potential benefits of delay differentiation, outsourcing, and quality assurance policies in the multi-item production planning, this study explores a single-machine two-stage multi-item batch fabrication problem considering the abovementioned features. Stage one is the fabrication of all the required common parts, and stage two is manufacturing the end products. A predetermined portion of common parts is supplied by an external contractor to reduce the uptime of stage one. Both stages have imperfect in-house production processes. The defective items produced are identified, and they are either reworked or removed to ensure the quality of the finished batch. We develop a model to depict the problem explicitly. Modeling, formulation, derivation, and optimization methods assist us in deriving a cost-minimized cycle time solution. Moreover, the proposed model can analyze and expose the diverse features of the problem to help managerial decision-making. An example of this is the individual/ collective influence of postponement, outsourcing, and quality reassurance policies on the optimal cycle time solution, utilization, uptime of each stage, total system cost, and individual cost contributors.
机译:品种,质量和快速反应正在成为当代竞争市场的客户需求的趋势。因此,越来越多的制造商正在频繁寻求替代方案,例如重新设计其制造方案和外包策略,以满足客户的期望,以有效地以最低的运营成本和内部容量有限。考虑到上述特征,通过延迟分化,外包和质量保证政策的延迟分化,外包和质量保障政策的潜在利益启发,考虑到上述特征,探讨了单机两级多项批量制造问题。第一阶段是制造所有所需的共同部位,第二阶段制造末端产品。通过外部承包商提供预定部分的公共部分,以减少阶段的正常运行时间。两个阶段都有不完美的内部生产过程。识别出产生的缺陷物品,它们可以重新加工或移除,以确保成品批处理的质量。我们开发一个模型来明确描述问题。建模,配方,推导和优化方法帮助我们推导出一种成本最小化的循环时间解决方案。此外,所提出的模型可以分析和暴露问题的多样性,以帮助管理决策。这一示例是推迟,外包和质量保证政策的个人/集体影响,对最佳循环时间解决方案,利用率,每个阶段的运行时间,总系统成本和个人成本贡献者的优质求和政策。

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