This article presents a comprehensive mathematical model for the design and analysis of Dynamic Cellular Manufacturing Systems （DCMS）. The proposed DCMS model considers several manufacturing attributes such as multi...This article presents a comprehensive mathematical model for the design and analysis of Dynamic Cellular Manufacturing Systems （DCMS）. The proposed DCMS model considers several manufacturing attributes such as multi period production planning, dynamic system reconfiguration, duplicate machines, machine capacity, the available time for workers, worker assignments, and machine procurement. The objective is to minimize total costs; consisting of holding cost, outsourcing cost, inter-cell material handling cost, maintenance and overhead cost, machine relocation cost. While a study of published articles in the area of Cellular Manufacturing Systems （CMS） shows that workforce management issues have not sufficiently been addressed in the literature, the model presented also incorporates CMS workforce management issues such as salaries, hiring and firing costs of workers in addition to the manufacturing attributes. In-depth discussions on the results for two numerical examples are presented to illustrate applications of the proposed model. The model developed aims to raise the envelope by expanding and improving several CMS models previously presented in the literature.展开更多
The multi-stage supply chain optimization problem is an important subject for research. Syaxif et al. have studied the problem formulated by a 0-1 mixed integer linear programming model, and presented a st-GA （spanni...The multi-stage supply chain optimization problem is an important subject for research. Syaxif et al. have studied the problem formulated by a 0-1 mixed integer linear programming model, and presented a st-GA （spanning tree-based genetic algorithm） by using Priifer number representation as the solution method of the model. On the basis of the work done by Syarif et al., a rst-GA （revised st-GA ） to solve the multi-stage supply chain optimization problem, is presented in this paper by means of introducing new sym- metric encoding ＆ decoding procedures of Priifer number, and adopting new chromosome＇s decoding strategy, etc. To facilitate building related decision-making support system, a C language implementation method of the rst-GA is also presented in this paper. Numerical experiments have validated that the rst-GA has better performance than the st-GA.展开更多
文摘This article presents a comprehensive mathematical model for the design and analysis of Dynamic Cellular Manufacturing Systems （DCMS）. The proposed DCMS model considers several manufacturing attributes such as multi period production planning, dynamic system reconfiguration, duplicate machines, machine capacity, the available time for workers, worker assignments, and machine procurement. The objective is to minimize total costs; consisting of holding cost, outsourcing cost, inter-cell material handling cost, maintenance and overhead cost, machine relocation cost. While a study of published articles in the area of Cellular Manufacturing Systems （CMS） shows that workforce management issues have not sufficiently been addressed in the literature, the model presented also incorporates CMS workforce management issues such as salaries, hiring and firing costs of workers in addition to the manufacturing attributes. In-depth discussions on the results for two numerical examples are presented to illustrate applications of the proposed model. The model developed aims to raise the envelope by expanding and improving several CMS models previously presented in the literature.
基金This work is supported by National Natural Science Foundation of China（70361002）, the Jiangxi Provincial Advanced Education Reform Project （GanJiaoGaoZi[2004] 100Hao）, the Project of Jiangxi Provincial Department of Education （GanJiaoJiZi[2007]10Hao）, and the Science Foundation of Nanchang University （04Z02914）.
文摘The multi-stage supply chain optimization problem is an important subject for research. Syaxif et al. have studied the problem formulated by a 0-1 mixed integer linear programming model, and presented a st-GA （spanning tree-based genetic algorithm） by using Priifer number representation as the solution method of the model. On the basis of the work done by Syarif et al., a rst-GA （revised st-GA ） to solve the multi-stage supply chain optimization problem, is presented in this paper by means of introducing new sym- metric encoding ＆ decoding procedures of Priifer number, and adopting new chromosome＇s decoding strategy, etc. To facilitate building related decision-making support system, a C language implementation method of the rst-GA is also presented in this paper. Numerical experiments have validated that the rst-GA has better performance than the st-GA.
