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《Industrial Engineering Journal》 2017-03
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Internet-of-Thing-Based Dynamic Kitting Synchronization of Production and Logistics: Analysis and Solution

LIU Xuan;QU Ting;WU Qiang;ZHANG Ting;HUANG Guoquan;Guangdong CIMS Provincial Key Lab, Guangdong University of Technology;School of Electrical and Informatics Engineering, Jinan University(Zhuhai Campus);Institute of Physical Internet, Jinan University (Zhuhai Campus);Department of Industrial and Manufacturing Systems Engineering, The University of Hong Kong;  
Dynamic synchronization of Production-Logistics(PL) in kitting manufacturing enterprise is studied. Considering the PL system which includes multi-Plant, a Packing workshop and a Warehouse and aiming at the multi-dimension influence brought by dynamics in kitting manufacturing, an analysis is conducted into the dynamic effect scope in production logistics operation process, extending the AUTOM information infrastructure to a multi-level, multistagedynamic kitting synchronization information framework adapted to PL, and then introducing a kitting-manufacturingadapted three-tier, two-stage kitting synchronization mechanism. Finally, with the order data extracted from the PL system of a chemical manufacturing enterprise, adopting GA-based target cascading(ATC) method, the dynamic caused by customer demand changes is solved. Result shows the optimization result from ATC-based kitting synchronization performance is better than AIO-based kitting synchronization and un-kitting synchronization, with not only kitting standard increased but system total cost also declined. In the PL of a kitting manufacturing enterprise, this solution provides an effective application framework and feasible method to enforce the precise plan formulation and adaptive decision-making of a big kitting manufacturing enterprise.
【Fund】: 国家自然科学基金项目资助项目(51475095);; 广东省自然科学基金资助项目(2016A030311041);; 广东特支计划资助项目(2014TQ01X706);; 广东省教育厅高层次人才计划资助项目(2014-2016);; 广州市科技研究专项资助项目(201607010154)
【CateGory Index】: F252;F273
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