Reconfigurable products and manufacturing systems have enabled manufacturers to provide ＂cost effective＂ variety to the market. In spite of these new technologies, the expense of manufacturing makes it infeasible to...Reconfigurable products and manufacturing systems have enabled manufacturers to provide ＂cost effective＂ variety to the market. In spite of these new technologies, the expense of manufacturing makes it infeasible to supply all the possible variants to the market for some industries. Therefore, the determination of the right number of product variantsto offer in the product portfolios becomes an important consideration. The product portfolio planning problem had been independently well studied from marketing and engineering perspectives. However, advantages can be gained from using a concurrent marketing and engineering approach. Concurrent product development strategies specifically for reconfigurable products and manufacturing systems can allow manufacturers to select best product portfolios from marketing, product design and manufacturing perspectives. A methodology for the concurrent design of a product portfolio and assembly system is presented. The objective of the concurrent product portfolio planning and assembly system design problem is to obtain the product variants that will make up the product portfolio such that oversupply of optional modules is minimized and the assembly line efficiency is maximized. Explicit design of the assembly system is obtained during the solution of the problem. It is assumed that the demand for optional modules and the assembly times for these modules are known a priori. A genetic algorithm is used in the solution of the problem. The basic premise of this methodology is that the selected product portfolio has a significant impact on the solution of the assembly line balancing problem. An example is used to validate this hypothesis. The example is then further developed to demonstrate how the methodology can be used to obtain the optimal product portfolio. This approach is intended for use by manufacturers during the early design stages of product family design.展开更多
通过构建绿色制造过程灰色模型,将工艺参数优化过程转化为多属性目标决策过程。运用模糊集理论对绿色制造评估专家不确定、不准确的模糊知识进行处理,提出采用决策试验与评价实验室(Decision making trial and evaluation laboratory,DE...通过构建绿色制造过程灰色模型,将工艺参数优化过程转化为多属性目标决策过程。运用模糊集理论对绿色制造评估专家不确定、不准确的模糊知识进行处理,提出采用决策试验与评价实验室(Decision making trial and evaluation laboratory,DEMATEL)方法建立绿色工艺评估指标的直接影响关联矩阵和综合影响矩阵,获得各评估指标的原因度和中心度,进而分析绿色工艺评估指标间的关联性,并依据影响程度进行权重大小分配。在考虑群体效益最大化与个体遗憾最小化的前提下,运用DEMATEL-VIKOR理论进行绿色工艺参数决策,获得考虑决策者主观偏好的绿色工艺参数或折中工艺参数集,并确定最优绿色工艺参数的调控优先次序。最后,结合某电火花制造过程绿色工艺参数的决策对所述方法进行了说明和验证。展开更多
How to deal with the collaboration between task decomposition and task scheduling is the key problem of the integrated manufacturing system for complex products. With the development of manufacturing technology, we ca...How to deal with the collaboration between task decomposition and task scheduling is the key problem of the integrated manufacturing system for complex products. With the development of manufacturing technology, we can probe a new way to solve this problem. Firstly, a new method for task granularity quantitative analysis is put forward, which can precisely evaluate the task granularity of complex product cooperation workflow in the integrated manufacturing system, on the above basis; this method is used to guide the coarse-grained task decomposition and recombine the subtasks with low cohesion coefficient. Then, a multi-objective optimieation model and an algorithm are set up for the scheduling optimization of task scheduling. Finally, the application feasibility of the model and algorithm is ultimately validated through an application case study.展开更多
文摘Reconfigurable products and manufacturing systems have enabled manufacturers to provide ＂cost effective＂ variety to the market. In spite of these new technologies, the expense of manufacturing makes it infeasible to supply all the possible variants to the market for some industries. Therefore, the determination of the right number of product variantsto offer in the product portfolios becomes an important consideration. The product portfolio planning problem had been independently well studied from marketing and engineering perspectives. However, advantages can be gained from using a concurrent marketing and engineering approach. Concurrent product development strategies specifically for reconfigurable products and manufacturing systems can allow manufacturers to select best product portfolios from marketing, product design and manufacturing perspectives. A methodology for the concurrent design of a product portfolio and assembly system is presented. The objective of the concurrent product portfolio planning and assembly system design problem is to obtain the product variants that will make up the product portfolio such that oversupply of optional modules is minimized and the assembly line efficiency is maximized. Explicit design of the assembly system is obtained during the solution of the problem. It is assumed that the demand for optional modules and the assembly times for these modules are known a priori. A genetic algorithm is used in the solution of the problem. The basic premise of this methodology is that the selected product portfolio has a significant impact on the solution of the assembly line balancing problem. An example is used to validate this hypothesis. The example is then further developed to demonstrate how the methodology can be used to obtain the optimal product portfolio. This approach is intended for use by manufacturers during the early design stages of product family design.
文摘通过构建绿色制造过程灰色模型,将工艺参数优化过程转化为多属性目标决策过程。运用模糊集理论对绿色制造评估专家不确定、不准确的模糊知识进行处理,提出采用决策试验与评价实验室(Decision making trial and evaluation laboratory,DEMATEL)方法建立绿色工艺评估指标的直接影响关联矩阵和综合影响矩阵,获得各评估指标的原因度和中心度,进而分析绿色工艺评估指标间的关联性,并依据影响程度进行权重大小分配。在考虑群体效益最大化与个体遗憾最小化的前提下,运用DEMATEL-VIKOR理论进行绿色工艺参数决策,获得考虑决策者主观偏好的绿色工艺参数或折中工艺参数集,并确定最优绿色工艺参数的调控优先次序。最后,结合某电火花制造过程绿色工艺参数的决策对所述方法进行了说明和验证。
基金supported by the National Natural Science Foundation of China(71401131)the MOE(Ministry of Education in China)Project of Humanities and Social Sciences(13XJC630011)the Ministry of Education Research Fund for the Doctoral Program of Higher Education(20120184120040)
文摘How to deal with the collaboration between task decomposition and task scheduling is the key problem of the integrated manufacturing system for complex products. With the development of manufacturing technology, we can probe a new way to solve this problem. Firstly, a new method for task granularity quantitative analysis is put forward, which can precisely evaluate the task granularity of complex product cooperation workflow in the integrated manufacturing system, on the above basis; this method is used to guide the coarse-grained task decomposition and recombine the subtasks with low cohesion coefficient. Then, a multi-objective optimieation model and an algorithm are set up for the scheduling optimization of task scheduling. Finally, the application feasibility of the model and algorithm is ultimately validated through an application case study.
