Intelligent Technologies and Systems of Material Management

Material Management is the engine that drives its Supply Chain and Logistics of manufacturing enterprise or any other organization. With the economy development and technical progress, many Logistics are transforming from 1PL and 2PL and 3PL to 4PL and 5PL continuously, and many manufacturers are transforming from Mass Production to Mass Customization, and then to new manufacturing modes all the time, like Cloud Manufacturing, Social Manufacturing etc. So, Material Management should continuously apply the latest ICT & intelligent technologies or systems, like Barcode, RFID, IoT (Internet of Things ), GPS/BeiDou Navigation Satellite System, Cloud Computing , Big data , Parallel Control and Management , to realize its transformation and upgrade coordinately with its Supply Chain and Logistics.

[1]  Gang Xiong,et al.  Social manufacturing cloud service platform for the mass customization in apparel industry , 2013, Proceedings of 2013 IEEE International Conference on Service Operations and Logistics, and Informatics.

[2]  Gang Xiong,et al.  Design and development of material management system for power enterprise group , 2012, 2012 IEEE International Conference on Automation and Logistics.

[4]  Cheng Cheng,et al.  Parallel Traffic Management for the 2010 Asian Games , 2010, IEEE Intelligent Systems.

[5]  Gang Xiong,et al.  AHP fuzzy comprehensive method of supplier evaluation in social manufacturing mode , 2014, Proceeding of the 11th World Congress on Intelligent Control and Automation.

[6]  Jochen Balla,et al.  Production Planning with SAP APO , 2010 .

[7]  Gang Xiong,et al.  Artificial power system based on ACP approach , 2012, Proceedings of 2012 IEEE International Conference on Service Operations and Logistics, and Informatics.

[8]  Fenghua Zhu,et al.  Parallel Traffic Management System and Its Application to the 2010 Asian Games , 2013, IEEE Transactions on Intelligent Transportation Systems.

[9]  Gang Xiong,et al.  Real-time Manufacturing Integration and Intelligence Solution: Case Study in Global Chemical Company , 2012, J. Softw..

[10]  Martin Murray SAP MM-Functionality and Technical Configuration , 2006 .

[11]  Sheng Liu,et al.  Parallel Traffic Management System Helps 16th Asian Games , 2012, IEEE Intelligent Systems.

[12]  He Li-jian,et al.  Parallel Evaluation Method to Improve Long Period Ethylene Production Management , 2010 .

[13]  Wang Shu-fen The Application of “The fifth Party Logistics Theory” in the Field of Emergency Logistics , 2014 .

[14]  Tao Qin,et al.  Design and improvement of KPI system for materials management in power group enterprise , 2010, Proceedings of 2010 IEEE International Conference on Service Operations and Logistics, and Informatics.

[15]  Gang Xiong,et al.  Social manufacture cloud mode in high-end apparel, footwear and hats , 2014, Proceeding of the 11th World Congress on Intelligent Control and Automation.

[16]  Gang Xiong,et al.  A kind of online power materials supermarket system , 2012, 2012 IEEE International Conference on Automation and Logistics.

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

[18]  Yan Guoqing,et al.  Research of Mobile Security Solution for Fourth Party Logistics , 2010, 2010 Sixth International Conference on Semantics, Knowledge and Grids.

[19]  Chunxiao Fan,et al.  Analysis and Research for Fourth Party Logistics Based on Internet of Things , 2011, IMC 2011.

[20]  Gang Xiong,et al.  Push/pull production plan and schedule used in modern refinery CIMS , 2000 .

[21]  Deqiang Fu,et al.  Integrate Virtual Logistics with the Fourth Party Logistics , 2011, 2011 International Conference on Management and Service Science.

[22]  Lei Hu,et al.  Design and improvement of the material coding standardization for power group enterprise , 2010, 2010 IEEE International Conference on Automation and Logistics.

[23]  Xiaohui Liu,et al.  Information flow model of third-party logistics based on internet of things , 2011, 2011 IEEE International Conference on Computer Science and Automation Engineering.

[24]  Gang Xiong,et al.  Business model transformation as an explanation of dramatic demand-supply change events , 2012, Proceedings of 2012 IEEE International Conference on Service Operations and Logistics, and Informatics.