Multistage Sequencing System for Complex Mixed-Model Assembly Problems

被引:0
作者
Zemczak, Marcin [1 ]
Skolud, Bozena [2 ]
机构
[1] Univ Bielsko Biala, Fac Mech Engn & Comp Sci, Dept Prod Engn, Willowa 2, PL-43309 Bielsko Biala, Poland
[2] Silesian Tech Univ, Fac Mech Engn, Inst Engn Proc Automat & Integrated Mfg Syst, Konarskiego 18A, PL-44100 Gliwice, Poland
来源
INTERNATIONAL JOINT CONFERENCE SOCO'16- CISIS'16-ICEUTE'16 | 2017年 / 527卷
关键词
Production scheduling; Sequencing; Mixed-model assembly; Modelling; Graphs;
D O I
10.1007/978-3-319-47364-2_40
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The paper presents the concept of multistage sequencing system which main task is to aid the processes of production scheduling in modern assembly systems, mainly in automotive industry, but also in other industry branches, where mixed-model production is conducted. Because of NP-hard character of considered scheduling tasks, it is a potential application area of soft computing graph searching techniques. Described sequencing system is a tool for production scheduling optimizing the process in terms defined by the user (e.g. the number of cycle times exceeded on the assembly line stations as well as the average exceeding of the cycle time). The system structure is based on graph searching techniques, and may be implemented in many problems solving methods, including not only production scheduling but also others, e.g. project scheduling. The developed system model is the basis of its implementation in production planning software, creating the sequences of production orders in few different stages.
引用
收藏
页码:416 / 425
页数:10
相关论文
共 10 条
  • [1] A PSO and a Tabu search heuristics for the assembly scheduling problem of the two-stage distributed database application
    Allahverdi, A
    Al-Anzi, FS
    [J]. COMPUTERS & OPERATIONS RESEARCH, 2006, 33 (04) : 1056 - 1080
  • [2] Computer-aided prototyping of production flows for a virtual enterprise
    Banaszak, Z
    Skolud, B
    Zaremba, MB
    [J]. JOURNAL OF INTELLIGENT MANUFACTURING, 2003, 14 (01) : 83 - 106
  • [3] Kalinowski Krzysztof, 2015, Applied Mechanics and Materials, V809-810, P1462, DOI 10.4028/www.scientific.net/AMM.809-810.1462
  • [4] Preparatory Stages of the Production Scheduling of Complex and Multivariant Products Structures
    Kalinowski, Krzysztof
    Zemczak, Marcin
    [J]. 10TH INTERNATIONAL CONFERENCE ON SOFT COMPUTING MODELS IN INDUSTRIAL AND ENVIRONMENTAL APPLICATIONS, 2015, 368 : 475 - 483
  • [5] Transient States of Cyclic Production Planning and Control
    Krenczyk, Damian
    Skolud, Bozena
    [J]. ENGINEERING SOLUTIONS AND TECHNOLOGIES IN MANUFACTURING, 2014, 657 : 961 - 965
  • [6] Masahiko O., 1993, ANN CIRP, V42, P475
  • [7] Rudnicki J., 2011, PRZEDSIEBIORSTWO AGI
  • [8] Seyedi Seyed N., 2012, INTERDISC J CONT RES, V4, P648
  • [9] Multi-assortment rhythmic production planning and control
    Skolud, B.
    Krenczyk, D.
    Zemczak, M.
    [J]. MODERN TECHNOLOGIES IN INDUSTRIAL ENGINEERING (MODTECH2015), 2015, 95
  • [10] Evaluation of leagility in supply chains using fuzzy logic approach
    Vinodh, S.
    Aravindraj, S.
    [J]. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2013, 51 (04) : 1186 - 1195