Computer-aided production management issues in the engineer-to-order production of complex capital goods explored using a simulation approach
Computer-aided production management issues in the engineer-to-order production of complex capital goods explored using a simulation approach
复制标题
使用模拟方法探讨复杂资本货物按订单设计生产中的计算机辅助生产管理问题
DOI：
10.1080/00207540010001019
复制
发表时间：
2000
影响因子：
9.2
通讯作者：
P. Braiden
中科院分区：
文献类型：
--
作者：
C. Hicks;P. Braiden
本文描述了探索生产计划和控制问题，在资本货物行业使用模拟方法。这些公司生产的产品具有深度和复杂的产品结构，并在工程或按订单生产（ETO，MTO）的基础上小批量生产。这里报告的工作借鉴了对参与资本货物制造的公司的调查结果，这些公司确定了ETO和MTO资本货物公司的特点及其战略问题。还审查了生产设施中采用的规划和控制方法以及在应用计算机辅助生产管理系统方面遇到的困难。开发的仿真模型，使复杂的制造系统进行建模，并配置为代表一个典型的ETO/MTO设施使用工业数据。一系列的全析因实验进行了探讨，包括能力规划，装配规划和调度策略的调查中发现的一些生产管理问题。得出的结论对性能和容量的影响：适用于最低的设置和处理时间为主要和次要的活动，使用不同的数据更新周期和装配提前期，并采取各种调度和调度方法。这些结果与其他工人单独使用调查技术获得的结果进行了比较，并对资本货物制造商产生了影响。
This paper describes the exploration of manufacturing planning and control issues in the capital goods industry using a simulation approach. The companies produce products which have deep and complex product structures and are produced in low volume on an engineer- or make-to-order basis (ETO, MTO). The work reported here draws on the results of surveys of companies involved in the manufacture of capital goods which identified their characteristics of ETO and MTO capital goods companies and their strategic issues. The planning and control approaches adopted in the manufacturing facilities and the difficulties experienced in the application of computer-aided production management (CAPM) systems were also examined. The simulation model developed enables complex manufacturing systems to be modelled and was configured to represent a typical ETO/MTO facility using industrial data. A series of full factorial experiments were performed to explore a number of production management problems identified in surveys including capacity planning, assembly planning and scheduling strategies. Conclusions are drawn on the effects on performance and capacity of: applying minimum set-up and processing times for both major and minor activities; using different data update periods and assembly lead times; and adopting various scheduling and despatching approaches. These results are compared with those obtained by other workers who used survey techniques alone, and have implications for the manufacturers of capital goods.