A constraint model for assembly planning

作     者：Kardos, Csaba Kovacs, Andras Vancza, Jozsef 

作者机构：Inst Comp Sci & Control EPIC Ctr Excellence Prod Informat & Control Budapest Hungary Budapest Univ Technol & Econ Dept Mfg Sci & Technol Budapest Hungary 

出 版 物：《JOURNAL OF MANUFACTURING SYSTEMS》 (制造系统杂志)

年 卷 期：2020年第54卷

页      面：196-203页

核心收录：

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 08[工学] 0802[工学-机械工程] 

基　　金：Research on prime exploitation of the potential provided by the industrial digitalisation [ED-18-2-2018-0006] European Commission through the H2020 project EPIC Janos Bolyai Research Fellowship 

主　　题：Assembly planning Optimization assembly features constraint programming 

摘      要：The importance of computer-aided process planning (CAPP) for assembly is widely recognized, as it holds the promise of efficient and automated construction of solutions for a complex, geometrically, technologically, and economically constrained planning problem. This complexity led to the introduction of decomposition approaches, separating the macro-level planning problem that oversees the complete assembly process from the various micro-level problems that look into the details of individual assembly operations. The paper introduces a constraint model for solving the macro-level assembly planning problem based on a generic feature-based representation of the product and the assembly operations involved. Special attention is given to capturing the feedback from micro-level planners expressed in the form of feasibility cuts, and hence, to the integration of the approach into a complete CAPP workflow. Results on three case studies from different industries are also presented to illustrate the practical applicability of the approach.