2015
DOI: 10.1080/09537287.2014.990945
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Incorporating the environmental dimension in the assessment of automated warehouses

Abstract: In today's competitive context, the paradigm of sustainable development is becoming more and more significant, also in warehousing. Managers are progressively considering not only purely economic aspects but also environmental concerns. Despite such consciousness, the selection of automated warehousing solutions has been mainly based on operational and economic performance in both practice and theory so far, whereas energy consumption and environmental performance have not been adequately taken into account. T… Show more

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Cited by 66 publications
(37 citation statements)
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“…Many methods assess the logistics activities impacts only on the environmental dimension (e.g., Palander (2017)). Others simultaneously evaluate the economic and environmental impacts of logistics activities (e.g., Tappia et al (2015)). The method of Tan et al (2010) assesses the impacts of a logistics activity on the three dimensions of sustainability.…”
Section: Methodsmentioning
confidence: 99%
“…Many methods assess the logistics activities impacts only on the environmental dimension (e.g., Palander (2017)). Others simultaneously evaluate the economic and environmental impacts of logistics activities (e.g., Tappia et al (2015)). The method of Tan et al (2010) assesses the impacts of a logistics activity on the three dimensions of sustainability.…”
Section: Methodsmentioning
confidence: 99%
“…Warehouses have significant amount of energy consumption due to lighting, heating, cooling and air condi-95 tioning as well as material handling equipment (Ries et al, 2017). Environmental assessment becomes particularly crucial in automated warehouses (Tappia et al, 2015). "…”
Section: Meta-heuristic Reference Papersmentioning
confidence: 99%
“…For instance, Colicchia et al [18] proposed a supply chain network design framework that is based on multi-objective mathematical programming to identify 'eco-efficient' configuration alternatives (defined by the number of transit points to be activated) that are both efficient and ecologically sound. A comparison among different warehousing automated solutions were provided by [19], including the environmental dimensions starting from the energy consumption evaluation. In most cases, these contributions used conversion factors to estimate CO 2 emissions starting from the energy consumption or the number of travelled kilometres based on specific books and reports provided by a government agency (e.g., [20,21]).…”
Section: Research Backgroundmentioning
confidence: 99%