Open AccessA Warehouse Social and Environmental Performance Metrics Framework
Author(s) -
Patricija Bajec,
Danijela Tuljak-Suban,
Ivona Bajor
Publication year - 2020
Publication title -
promet
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.315
H-Index - 19
eISSN - 1848-4069
pISSN - 0353-5320
DOI - 10.7307/ptt.v32i4.3390
Subject(s) - analytic hierarchy process , sustainability , supply chain , performance measurement , process (computing) , delphi method , computer science , analytic network process , performance indicator , warehouse , process management , environmental economics , delphi , risk analysis (engineering) , operations research , business , engineering , marketing , economics , ecology , artificial intelligence , biology , operating system
To improve the supply chain performance in all three aspects of sustainability (social, economic, and environmental), a comprehensive sustainable performance measurement system that captures all the supply chain partners’ efforts and commitments is required. Warehouse, as the second largest logistics source of environmental pollution in the supply chain has been almost completely overlooked and ignored in the past studies. To fill this gap, a warehouse performance metrics framework for environmental and social performance measures was proposed using a novel Fuzzy Delphi and Best-worst methodological approach. The method is less time-consuming than the Analytic Hierarchy Process or Analytic Network Process, it does not address whether criteria are dependent or independent, requires fewer comparisons of criteria, but still produces reliable and credible results. The presented framework consists of 32 equally formulated environmental and social performance indicators, including formulas and measurement units. The 14 most important indicators are ranked according to the requirements of different stakeholders.