TAILIEUCHUNG - Supply Chain Management Pathways for Research and Practice Part 11

Tham khảo tài liệu 'supply chain management pathways for research and practice part 11', kỹ thuật - công nghệ, cơ khí - chế tạo máy phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả | Advanced Supply Chain Planning Systems APS Today and Tomorrow 189 These systems incorporate issues from artificial intelligence including social and local intelligence related mainly to collaboration and negotiation possibilities learning abilities and pro-activity. This is not an exhaustive list but is the first step towards a more rigorous definition of what d-APS systems are. It is important to mention at this point that this d-APS concept is being used successfully mostly in laboratorial research. However we strongly believe that it is not far from being ready to reach the market as some recent industrial experiences demonstrate. The FORAC Research Consortium in Canada had the opportunity to develop and test a d-APS system in the softwood lumber industry in Québec Canada with interesting success. In this next subsection we quickly present this concept and how it was tested in industry. Prototyping in a Canadian lumber industry The FORAC Research Consortium1 is a centre of expertise dedicated to Supply Chain Management in the forest products industry in Canada. It has experts from several domains including forestry engineering industrial engineering mechanical engineering management sciences such as operations management and strategic management. Its efforts are divided into two sectors research knowledge and technology transfer activities. FORAC has been working with agent-based systems for supply chain management since 2002. As a result a d-APS referred to as the FORAC Experimental Planning Platform hereafter the FORAC Platform was developed and experimented with for this specific industry sector. The platform was conceived based on a general and well-accepted model for supply chain management the SCOR Supply-Chain Operations Reference from the Supply Chain Council SCC 2010 Stephens 2000 in such a way as to guarantee that the d-APS would be able to solve a large number of supply chain planning problems and be easily used by companies. This allows the .

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