Interpretive Structural Model of Key Performance Indicators for Sustainable Manufacturing Evaluation in Cement Industry

被引:0
|
作者
Amrina, E. [1 ]
Vilsi, A. L. [1 ]
机构
[1] Andalas Univ, Dept Ind Engn, Padang, Indonesia
关键词
Cement; interpretive structural modeling; key performance indicators; sustainable manufacturing;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This paper aims to analyze the relationships among the Key Performance Indicators (KPIs) for sustainable manufacturing evaluation in the cement industry. The initial KPIs have been identified and derived from literature, and then validated by industry survey. As a result, three factors dividing into a total of thirteen indicators have been proposed as the KPIs for sustainable manufacturing evaluation in cement industry. Interpretive structural modeling (ISM) methodology is applied to develop a network structure model of the KPIs. The results show the indicators of economic factor are regarded as the basic indicator, while the indicators of environmental factor are indicated to be the leading indicator. Of those indicators, raw material substitution is regarded as the most influencing indicator. The ISM model can aid the cement companies by providing a better insight in evaluating sustainable manufacturing performance.
引用
收藏
页码:1111 / 1115
页数:5
相关论文
共 50 条
  • [31] A decision support model for identification and prioritization of key performance indicators in the logistics industry
    Kucukaltan, Berk
    Irani, Zahir
    Aktas, Emel
    [J]. COMPUTERS IN HUMAN BEHAVIOR, 2016, 65 : 346 - 358
  • [32] Selection of key performance indicators of chosen industry and their application in formation of Creditworthy model
    Horvathova, Jarmila
    Mokrisova, Martina
    Suhanyiova, Alzbeta
    Suhanyi, Ladislav
    [J]. INTERNATIONAL SCIENTIFIC CONFERENCE: BUSINESS ECONOMICS AND MANAGEMENT (BEM2015), 2015, 34 : 360 - 367
  • [33] Identification and evaluation of determinants of sustainable manufacturing: a case of Indian cement manufacturing
    Singh, Rohit Kumar
    Modgil, Sachin
    Tiwari, Amit Anand
    [J]. MEASURING BUSINESS EXCELLENCE, 2019, 23 (01) : 24 - 40
  • [34] KEY PERFORMANCE INDICATORS: MONITORING AND EVALUATION
    Dumitrescu, Andreea
    Dumitriu, Dan
    [J]. MANAGEMENT - FACING NEW TECHNOLOGY CHALLENGES, ICMIE 2013, 2013, : 423 - 429
  • [35] Sustainable Manufacturing Performance Indicators for a Serial Production Line
    Brundage, Michael P.
    Chang, Qing
    Li, Yang
    Arinez, Jorge
    Xiao, Guoxian
    [J]. IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2016, 13 (02) : 676 - 687
  • [36] Management on the Basis of Key Performance Indicators at Manufacturing Enterprises
    Lastochkina V.V.
    [J]. Russian Engineering Research, 2021, 41 (12): : 1193 - 1195
  • [37] Identification of multidimensional key performance indicators for manufacturing companies
    Marek, Svenja
    Schuh, Guenther
    Stich, Volker
    [J]. 2020 IEEE TECHNOLOGY & ENGINEERING MANAGEMENT CONFERENCE (TEMSCON 2020), 2020,
  • [38] Implementing Key Performance Indicators for Energy Efficiency in Manufacturing
    Schmidt, Christopher
    Li, Wen
    Thiede, Sebastian
    Komfeld, Bernard
    Kara, Sami
    Herrmann, Christoph
    [J]. FACTORIES OF THE FUTURE IN THE DIGITAL ENVIRONMENT, 2016, 57 : 758 - 763
  • [39] Evaluation of Energy Performance Indicators and Energy Saving Opportunities for the Italian Rubber Manufacturing Industry
    Piccioni, Matteo
    Martini, Fabrizio
    Martini, Chiara
    Toro, Claudia
    [J]. ENERGIES, 2024, 17 (07)
  • [40] Determining and applying sustainable supplier key performance indicators
    Bai, Chunguang
    Sarkis, Joseph
    [J]. SUPPLY CHAIN MANAGEMENT-AN INTERNATIONAL JOURNAL, 2014, 19 (03) : 275 - 291