Manufacturing task data chain-driven production logistics trajectory analysis and optimization decision making method  

作　　者：Lin Ling Zhe-Ming Song Xi Zhang Peng-Zhou Cao Xiao-Qiao Wang Cong-Hu Liu Ming-Zhou Liu 

机构地区：[1]School of Mechanical Engineering,Hefei University of Technology,Hefei,230009,People’s Republic of China [2]Guobo Electronics Co.Ltd.,Nanjing,211111,People’s Republic of China [3]School of Mechanical and Electronic Engineering,Suzhou University,Suzhou,234000,Anhui,People’s Republic of China [4]Sino-US Global Logistics Institute,Shanghai Jiao Tong University,Shanghai,200030,People’s Republic of China

出　　处：《Advances in Manufacturing》2024年第1期185-206,共22页先进制造进展（英文版）

基　　金：supported by The University Discipline(Professional)Top-notch Talent Academic Funding Project of Anhui Province;the General Project of National Natural Science Foundation of Anhui Province.

摘　　要：Production logistics(PL)is considered as a critical 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 decision 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 support 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.

关 键 词：Production logistics(PL) Logistics trajectory analysis Logistics optimization Data driven Manufacturing task data chain(MTDC) 

分 类 号：F426[经济管理—产业经济]