Integrated Maintenance-Quality policy with rework process under improved imperfect preventive maintenance

被引:38
|
作者
Gouiaa-Mtibaa, A. [1 ]
Dellagi, S. [1 ]
Achour, Z. [1 ]
Erray, W. [2 ]
机构
[1] Lorraine Univ, LGIPM, Metz, France
[2] Credit Agr SA, Paris, Ile De France, France
关键词
Maintenance strategies; Imperfect preventive maintenance; Reworking; Quality; Degradation; ECONOMIC PRODUCTION QUANTITY; STAGE PRODUCTION SYSTEM; LEASED EQUIPMENT; MODEL; REPAIR; STRATEGY; SIZE;
D O I
10.1016/j.ress.2017.12.020
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
We consider a manufacturing system subject to an increasing random failure rate and producing conforming and non-conforming items. Two types of non-defective products are considered: high quality items noted first-rate products and substandard quality items noted second-rate products. Rework activities are proposed for second-rate and non-conforming products in order to improve their quality conditions and sell them at the best price, In order to slow down the degradation process of the manufacturing system and reduce its impact on the quality of output products, a new improved imperfect preventive maintenance (PM) policy with minimal repair at failures is established. It consists in performing a given number of imperfect PM actions before undertaking a perfect one. This study consists in developing an analytical model to determine simultaneously the optimal values of two decision variables: the number of produced batches before performing the imperfect PM, and the number of imperfect PM actions to undertake before applying a perfect one by maximizing the total expected profit taking into account the selling price and production, maintenance and reworking costs. Numerical examples and a sensitivity study are presented to illustrate the use of the proposed model and the obtained results. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1 / 11
页数:11
相关论文
共 50 条
  • [31] Integrated design of preventive maintenance and quality control policy parameters with CUSUM chart
    Divya Shrivastava
    Makarand S. Kulkarni
    Prem Vrat
    The International Journal of Advanced Manufacturing Technology, 2016, 82 : 2101 - 2112
  • [32] Integrated design of preventive maintenance and quality control policy parameters with CUSUM chart
    Shrivastava, Divya
    Kulkarni, Makarand S.
    Vrat, Prem
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2016, 82 (9-12): : 2101 - 2112
  • [33] Optimal buffer inventory and preventive maintenance for an imperfect production process
    Zequeira, RI
    Prida, B
    Valdés, JE
    INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2004, 42 (05) : 959 - 974
  • [34] Integrated model of preventive maintenance, quality control and buffer sizing for unreliable and imperfect production systems
    Radhoui, M.
    Rezg, N.
    Chelbi, A.
    INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2009, 47 (02) : 389 - 402
  • [35] Imperfect preventive replacement maintenance model under reliability constraints
    Li, Jianhua
    Xu, Jiasheng
    Ren, Li'na
    Taiyangneng Xuebao/Acta Energiae Solaris Sinica, 2022, 43 (04): : 446 - 452
  • [36] Optimal production correction and maintenance policy for imperfect process
    Liao, Gwo-Liang
    EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2007, 182 (03) : 1140 - 1149
  • [37] Integrated production maintenance and quality model for imperfect processes
    Ben-Daya, M.
    IIE Transactions (Institute of Industrial Engineers), 1999, 31 (06): : 491 - 501
  • [38] Integrated production maintenance and quality model for imperfect processes
    Ben-Daya, M
    IIE TRANSACTIONS, 1999, 31 (06) : 491 - 501
  • [39] Preventive Replacement Policy and Imperfect Maintenance Model with Random Working Times
    Chang, Chin-Chih
    PROCEEDINGS OF THE 2014 INTERNATIONAL CONFERENCE ON EDUCATION REFORM AND MODERN MANAGEMENT, 2014, 75 : 370 - 373
  • [40] Imperfect Preventive Maintenance Policy for Complex Systems Based on Bayesian Networks
    Mokhtar, El Hassene Ait
    Laggoune, Radouane
    Chateauneuf, Alaa
    QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL, 2017, 33 (04) : 751 - 765