Planning support for the design of quality control strategies in global production networks

被引:3
|
作者
Arndt, Tobias [1 ]
Lanza, Gisela [1 ]
机构
[1] Karlsruhe Inst Technol, Wbk Inst Prod Sci, Kaiserstr 12, D-76131 Karlsruhe, Germany
关键词
Global production networks; Strategic site role; Quality control strategy; Simulation-based evaluation; SUPPLY CHAIN;
D O I
10.1016/j.procir.2015.12.015
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The increasing globalization forces manufacturing companies to organize their production in global networks, which include company internal sites as well as locations of external partners and suppliers. Each site in this network has an assigned strategic role according to the specific location factors, i.e. qualification level of employees or available process technology, and the defined specialization of each site, i.e. regarding served market, final product or realized processes. This role defines an individual target system that considers at least the dimensions cost, quality and time. Each site acts autonomously according to the target system. Since it is crucial for the success of the company to ensure the demanded quality of the final product with minimal cumulated quality costs and lead times, the quality control strategy for the production network has to be designed according to the target systems of the individual sites. The presented article describes an approach, which enables globally operating companies to efficiently plan their efforts for their quality control measures in their respective production network taking the specific site roles into account. In a first step, a value-stream-based methodology is presented, which visualizes quality characteristics as well as related quality inspections in the production process chain and which identifies potentials in the quality control strategy across locations. In a second step a simulation approach is used to evaluate the effects of different quality measures considering dynamic influencing factors and individual target systems, so that the optimal quality control strategy for the production network can be identified. (C) 2015 The Authors. Published by Elsevier B.V.
引用
收藏
页码:675 / 680
页数:6
相关论文
共 50 条
  • [21] Intelligent control of change planning in production networks of series production
    Döring A.
    KI - Kunstliche Intelligenz, 2010, 24 (02): : 165 - 168
  • [22] Information system design in global production and planning processes
    Augustin, H
    Warnecke, G
    1998 JAPAN-U.S.A. SYMPOSIUM ON FLEXIBLE AUTOMATION - PROCEEDINGS, VOLS I AND II, 1998, : 625 - 632
  • [23] Software design: planning, control, aeronautical production
    Alvarez Lara, Sergio Alejandro
    Garcia Echeverry, Juan Pablo
    REVISTA EDUCACION EN INGENIERIA, 2010, 5 (09): : 171 - 178
  • [24] Sales & operations planning as an instrument for managing global production networks
    Friedli, Thomas
    Felder, Andreas
    Mengel, Steffen
    ZWF Zeitschrift fuer Wirtschaftlichen Fabrikbetrieb, 2015, 110 (12): : 799 - 804
  • [25] Techniques for Production Quality Control in the Global Company
    Daneshjo, Naqib
    Malega, Peter
    Drabik, Peter
    ADVANCES IN SCIENCE AND TECHNOLOGY-RESEARCH JOURNAL, 2021, 15 (01) : 174 - 183
  • [26] OBJECT-ORIENTED DESIGN OF PLANNING-SUPPORT-SYSTEMS FOR PRODUCTION PLANNING
    FRANKEN, R
    WIRTSCHAFTSINFORMATIK, 1990, 32 (03): : 253 - 262
  • [27] Resilient planning strategies to support disruption-tolerant production operations
    Puchkova, Alena
    McFarlane, Duncan
    Srinivasan, Rengarajan
    Thorne, Alan
    INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2020, 226
  • [28] Artificial neural networks for supporting production planning and control
    Corsten, H
    May, C
    TECHNOVATION, 1996, 16 (02) : 67 - 76
  • [29] A systematic approach to analysis and design of global production networks
    Wagner, Carsten
    Nyhuis, Peter
    PRODUCTION ENGINEERING-RESEARCH AND DEVELOPMENT, 2009, 3 (03): : 295 - 303
  • [30] Quality control planning to prevent excessive scrap production
    Bettayeb, B.
    Bassetto, S. J.
    Sahnoun, M.
    JOURNAL OF MANUFACTURING SYSTEMS, 2014, 33 (03) : 400 - 411