A master production schedule warning approach for cement equipment manufacturing enterprises

被引:0
|
作者
Sun, L. B. [1 ]
Guo, S. S. [1 ]
Tao, S. Q. [1 ,2 ]
Li, Y. B. [1 ]
Du, B. G. [1 ]
机构
[1] Wuhan Univ Technol, Sch Mech & Elect Engn, Wuhan 430070, Peoples R China
[2] Wuhan Tech Coll Commun, Dept Mech & Elect Engn, Wuhan 430065, Peoples R China
基金
中国国家自然科学基金;
关键词
MPS; MBOM; Yellow warning; Red warning; BASE;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Reducing product delivery time is a key factor for enterprises in increasing their core competitiveness. In order to resolve problems, including lack of a warning and monitoring system for Master Production Schedules (MPS) in cement equipment manufacturing enterprises, we propose a warning mechanism based on theoretical finish percentage and actual finish percentage. First, an MPS model, based on the product Manufacturing Bill Of the Material (MBOM), is proposed. Second, we present an approach for generating planned time, actual time, actual finish percentage and theoretical finish percentage, and yellow and red warnings are introduced to evaluate whether the production plan is normal or not. Finally, we use an example to illustrate the proposed algorithm process. Experimental results have shown that the proposed approach is able to support MPS warning. (C) 2014 Sharif University of Technology. All rights reserved.
引用
收藏
页码:1120 / 1127
页数:8
相关论文
共 50 条
  • [31] MULTI-OBJECTIVE MASTER PRODUCTION SCHEDULE FOR BALANCED PRODUCTION OF MANUFACTURERS
    Wang, C.
    Yang, B.
    Wang, H. Q.
    INTERNATIONAL JOURNAL OF SIMULATION MODELLING, 2020, 19 (04) : 678 - 688
  • [32] Interface between the production plan and the master production schedule in assembly environments
    Moya Navarro, Marcos
    Sanchez Brenes, Magaly
    TECNOLOGIA EN MARCHA, 2012, 25 (03): : 101 - 111
  • [33] A genetic algorithm approach for the master surgical schedule problem
    Marchesi, Janaina Figueira
    Cavalcanti Pacheco, Marco Aurelio
    PROCEEDINGS OF THE 2016 IEEE CONFERENCE ON EVOLVING AND ADAPTIVE INTELLIGENT SYSTEMS (EAIS), 2016, : 17 - 21
  • [34] Dynamic material flow schedule control system oriented to production task for manufacturing enterprise of building material equipment
    Xu W.
    Guo S.
    Wang L.
    Wu R.
    Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS, 2019, 25 (03): : 629 - 642
  • [35] Measurement equipment lean management system for aviation manufacturing enterprises
    Wang M.
    An H.
    Qiao Y.
    Wang D.
    An, Haixia (409anhx@caep.cn), 2017, CIMS (23): : 104 - 112
  • [36] Research on Technological Innovation Efficiency of Tourist Equipment Manufacturing Enterprises
    Lin, Yuanyuan
    Deng, Nianqi
    Gao, Hailian
    SUSTAINABILITY, 2018, 10 (12)
  • [37] DOLLAR PACKAGING - THE INTEGRATED MANUFACTURING SCHEDULE APPROACH
    SMITH, DR
    APICS 34TH INTERNATIONAL CONFERENCE PROCEEDINGS: THE INTEGRATED MANAGEMENT REVOLUTION : A GLOBAL COMPETITIVE CHALLENGE, 1991, : 557 - 559
  • [38] Planning and replanning the master production schedule under demand uncertainty
    Tang, O
    Grubbström, RW
    INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2002, 78 (03) : 323 - 334
  • [39] Mathematical Model of Master Production Schedule for Kalak Refinery Plant
    Sadiq, Shereen S.
    Abdulazeez, Adnan Mohsin
    Haron, Habibollah
    NEW TRENDS IN INTELLIGENT SOFTWARE METHODOLOGIES, TOOLS AND TECHNIQUES (SOMET_18), 2018, 303 : 332 - 344
  • [40] Joint optimization of a master production schedule and a preventive maintenance policy
    Gehan, Martin
    Castanier, Bruno
    Lemoine, David
    PROCEEDINGS OF 2013 INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND SYSTEMS MANAGEMENT (IEEE-IESM 2013), 2013, : 302 - 308