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Development of sustainability performance measurement framework for measuring complex sustainability impacts in the manufacturing industry
doi: 10.15480/882.3146
handle: 11420/8051 , 10419/228944
Purpose:This research aims to develop a framework of sustainability performance measurement and to propose sustainability impact criteria that can be used to meas-ure complex sustainability impacts in the manufacturing industry. Methodology:Fuzzy-Analytical Hierarchy Process (Fuzzy-AHP) and the Delphi method were used to calculate the weights of sustainability impact criteria. Then, the impact pathway of a life cycle assessment was constructed to illustrate the inter-relationship between each impact criterion. A proposed framework of sustainability performance measurement is presented along with the suggested sustainability im-pact criteria.Findings:Based on the Delphi method and Fuzzy-AHP, the environmental aspect is the area that has received the highestconcern (49.4%). The important endpoint im-pact criteria of the environmental aspect consist of Effect on global climate, Ecosys-tem quality, Animal biodiversity, and Resource management. Originality: The biggest challenge of sustainable development that is yet to be an-swered is how to measure sustainability performance. The environmental aspect is the area that has received the most attention while the economic and social aspects are still under-represented. To fill the gap, this research proposes a framework of sustainability performance measurement that considers all interrelationships be-tween each sustainability aspect
ddc:650, Data Science, Supply Chain Management, City Logistics, Logistics, Industry 4.0, Ingenieurwissenschaften, Sustainability, Maritime Logistics
ddc:650, Data Science, Supply Chain Management, City Logistics, Logistics, Industry 4.0, Ingenieurwissenschaften, Sustainability, Maritime Logistics
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
