An order schedule method in mass customization for cell phone

Traditional mass production of cell phone manufacturers can not meet customer requirements and market competition needs. Mass customization becomes a main production mode. This paper introduce a mass customization mode for cell phone which has a lot of advantages such as reasonable cost, high quality, customized products, high efficiency, short product life cycle and so on. Under this model, this paper also uses an order schedule method to find an optimal solution of sorting orders, improving the production efficiency. The result has a larger improvement than processing orders one by one.

[1]  J. Ghaboussi,et al.  Evolving structural design solutions using an implicit redundant Genetic Algorithm , 2000 .

[2]  B. J. Pine,et al.  Making mass customization work , 1993 .

[3]  Wook Hyun Kwon,et al.  Scheduling and optimization for a class of multi-stage hybrid manufacturing systems , 2001, Proceedings of the 2001 IEEE International Conference on Control Applications (CCA'01) (Cat. No.01CH37204).

[4]  Didier Dubois,et al.  Fuzzy scheduling: Modelling flexible constraints vs. coping with incomplete knowledge , 2003, Eur. J. Oper. Res..

[5]  Li,et al.  Immune Genetic Algorithm for Optimal Design , 2002 .

[6]  Gang Xiong,et al.  Mass customization manufacturing solution for cell phone production , 2010, 2010 IEEE International Conference on Automation and Logistics.

[7]  Fardin Ahmadizar,et al.  Minimizing makespan in a group shop with fuzzy release dates and processing times , 2012, The International Journal of Advanced Manufacturing Technology.

[8]  P. Shahabudeen,et al.  Algorithm for the design of single-stage adaptive kanban system , 2008, Comput. Ind. Eng..

[9]  Li-Chen Fu,et al.  Modeling, scheduling, and prediction in wafer fabrication systems using queueing Petri net and genetic algorithm , 2001, Proceedings 2001 ICRA. IEEE International Conference on Robotics and Automation (Cat. No.01CH37164).

[10]  Anthony J. Donatelli,et al.  Combining Value Stream Mapping and Discrete Event Simulation , 2001 .

[11]  Wook Hyun Kwon,et al.  Scheduling and optimization for a class of single-stage hybrid manufacturing systems , 2001, Proceedings 2001 ICRA. IEEE International Conference on Robotics and Automation (Cat. No.01CH37164).

[12]  Stéphane Julia,et al.  Real time scheduling of batch systems , 2000, Simul. Pract. Theory.

[13]  Fei-Yue Wang,et al.  Toward a Paradigm Shift in Social Computing: The ACP Approach , 2007, IEEE Intell. Syst..

[14]  Ihsan Sabuncuoglu,et al.  Ant colony optimization for the single model U-type assembly line balancing problem , 2009 .

[15]  Nils Boysen,et al.  A versatile algorithm for assembly line balancing , 2008, Eur. J. Oper. Res..

[16]  Hossein Pedram,et al.  High performance asynchronous design flow using a novel static performance analysis method , 2009, Comput. Electr. Eng..

[17]  A. P. Shanthini,et al.  User-friendly genetic algorithm , 2007 .

[18]  Michael H. Hu,et al.  A genetic algorithm for optimizing spine layout , 2009 .