Janmontree, JettaratJettaratJanmontreeZadek, HartmutHartmutZadek2020-12-022020-12-022020-09-23Hamburg International Conference of Logistics (HICL) 30 : 3-31 (2020)http://hdl.handle.net/11420/8051Purpose: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 aspectenhttps://creativecommons.org/licenses/by-sa/4.0/LogisticsIndustry 4.0Supply Chain ManagementSustainabilityCity LogisticsMaritime LogisticsData ScienceIngenieurwissenschaftenConference Paper10.15480/882.3146https://www.epubli.de/shop/buch/Data-Science-in-Maritime-and-City-Logistics-Wolfgang-Kersten-9783753123479/10604810.15480/882.3146Jahn, CarlosCarlosJahnKersten, WolfgangWolfgangKerstenRingle, Christian M.Christian M.RingleConference Paper