Order Picking and E-Commerce: Introducing Non-Parametric Efficiency Measurement for Sustainable Retail Logistics
نویسندگان
چکیده
Order picking is a crucial but labor- and cost-intensive activity in the retail logistics e-commerce domain. Comprehensive changes are implemented this field due to new technologies like AI automation. Nevertheless, human worker’s activities will be required for quite some time future. This fosters necessity of evaluating manual picker-to-part operations. We apply non-parametric Data Envelopment Analysis (DEA) evaluate efficiency n = 23 order pickers processing 6109 batches with 865,410 stock keeping units (SKUs). use distance per location, picks as well volume SKU inputs hour output. As convexity axiom standard DEA models cannot fully satisfied when using ratio measures different denominators, we Free Disposal Hull (FDH) approach that does not assume convexity. Validating scores company’s assessment, operationalized by premium payments shows 93% goodness=of-fit proposed model. The formulated its empirical application promising ways forward implementing measurements operations within
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ژورنال
عنوان ژورنال: Journal of Theoretical and Applied Electronic Commerce Research
سال: 2021
ISSN: ['0718-1876']
DOI: https://doi.org/10.3390/jtaer16040048