首页|Manufacturing task data chain-driven production logistics trajectory analysis and optimization decision making method
Manufacturing task data chain-driven production logistics trajectory analysis and optimization decision making method
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Production logistics(PL)is considered as a criti-cal factor that affects the efficiency and cost of production operations in discrete manufacturing systems.To effectively utilize manufacturing big data to improve PL efficiency and promote job shop floor economic benefits,this study proposes a PL trajectory analysis and optimization deci-sion making method driven by a manufacturing task data chain(MTDC).First,the manufacturing task chain(MTC)is defined to characterize the discrete production process of a product.To handle manufacturing big data,the MTC data paradigm is designed,and the MTDC is established.Then,the logistics trajectory model is presented,where the various types of logistics trajectories are extracted using the MTC as the search engine for the MTDC.Based on this,a logistics efficiency evaluation indicator system is proposed to sup-port the optimization decision making for the PL.Finally,a case study is applied to verify the proposed method,and the method determines the PL optimization decisions for PL efficiency without changing the layout and workshop equipment,which can assist managers in implementing the optimization decisions.
Production logistics(PL)Logistics trajectory analysisLogistics optimizationData drivenManufacturing task data chain(MTDC)
Lin Ling、Zhe-Ming Song、Xi Zhang、Peng-Zhou Cao、Xiao-Qiao Wang、Cong-Hu Liu、Ming-Zhou Liu
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School of Mechanical Engineering,Hefei University of Technology,Hefei 230009,People's Republic of China
Guobo Electronics Co.Ltd.,Nanjing 211111,People's Republic of China
School of Mechanical and Electronic Engineering,Suzhou University,Suzhou 234000,Anhui,People's Republic of China
Sino-US Global Logistics Institute,Shanghai Jiao Tong University,Shanghai 200030,People's Republic of China
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University Discipline(Professional)Topnotch Talent Academic Funding Project of Anhui ProvinceGeneral Project of National Natural Science Foundation of Anhui Province
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NSTL
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