Developing A Key Performance Indicator System To Integrate Sustainable Corporate Objectives Into Maintenance Using The Analytic Hierarchy Process

被引:0
作者
Bredebach, Christina [1 ]
机构
[1] Tech Univ Dortmund, Dortmund, Germany
来源
PROCEEDINGS OF THE CONFERENCE ON PRODUCTION SYSTEMS AND LOGISTICS, CPSL 2023-2 | 2023年
关键词
Sustainable Maintenance; Sustainability Strategy; Corporate Objectives; Multi Criteria Decision Making; Analytic Hierarchy Process;
D O I
10.15488/15323
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Maintenance in a manufacturing company is a key function for maintaining or restoring the functional condition of the production equipment and machinery and thus for maintaining the overall efficiency of the company. Because of this role, maintenance is often considered "sustainable". As a result of regulatory requirements as well as stakeholder demands, companies are under pressure to specify their sustainability strategies. However, due to a lack of knowledge about the sustainability potential of this function, the identification of clear objectives for sustainable maintenance is often neglected. Therefore, this paper presents a performance indicator system. 133 performance indicators in the three dimensions of sustainability (economic, environmental and social) were identified in a systematic literature review. In a qualitative content analysis and inductive category building, these were then assigned to 20 different categories. The hierarchical arrangement as well as the derivation of sustainable maintenance objectives from the corporate strategy enables companies to rank the performance indicators with the help of AHP (Analytic Hierarchy Process), a tool of MCDM (Multi Criteria Decision Making). This leads to a system of performance indicators based on a company's sustainability strategy, which strengthens the focus on sustainability in maintenance functions.
引用
收藏
页码:914 / 924
页数:11
相关论文
共 29 条
  • [1] [Anonymous], 2012, DIN 31051
  • [2] Bea F.X., 2019, Strategisches Management
  • [3] Belton Valerie., 2002, Multiple Criteria Decision Analysis: An Integrated Approach
  • [4] Bredebach C, 2022, PROCEEDINGS OF ASME 2022 17TH INTERNATIONAL MANUFACTURING SCIENCE AND ENGINEERING CONFERENCE, MSEC2022, VOL 2
  • [5] Brundtland G.H., 1987, OUR COMMON FUTURE RE
  • [6] Buchmuller M., 2019, Nachhaltigkeit und Produktmodularisierung
  • [7] Enquete-Kommission, Schutz des Menschen und der Umwelt"des 13. Deutschen Bundestages. Konzept Nachhaltigkeit, Fundamente fur die Gesellschaft von morgen
  • [8] KPI development and obsolescence management in industrial maintenance
    Ferreira, S.
    Silva, F. J. G.
    Casais, R. B.
    Pereira, M. T.
    Ferreira, L. P.
    [J]. 29TH INTERNATIONAL CONFERENCE ON FLEXIBLE AUTOMATION AND INTELLIGENT MANUFACTURING (FAIM 2019): BEYOND INDUSTRY 4.0: INDUSTRIAL ADVANCES, ENGINEERING EDUCATION AND INTELLIGENT MANUFACTURING, 2019, 38 : 1427 - 1435
  • [9] Sustainable Maintenance Performances and EN 15341:2019: An Integration Proposal
    Franciosi, Chiara
    Roda, Irene
    Voisin, Alexandre
    Miranda, Salvatore
    Macchi, Marco
    Iung, Benoit
    [J]. ADVANCES IN PRODUCTION MANAGEMENT SYSTEMS: ARTIFICIAL INTELLIGENCE FOR SUSTAINABLE AND RESILIENT PRODUCTION SYSTEMS, APMS 2021, PT IV, 2021, 633 : 401 - 409
  • [10] Measuring maintenance impacts on sustainability of manufacturing industries: from a systematic literature review to a framework proposal
    Franciosi, Chiara
    Voisin, Alexandre
    Miranda, Salvatore
    Riemma, Stefano
    Iung, Benoit
    [J]. JOURNAL OF CLEANER PRODUCTION, 2020, 260 (260)