A New Decision Making Tool for Automated Industrial Storage Systems Selection
Vittorio Novara
A New Decision Making Tool for Automated Industrial Storage Systems Selection.
Rel. Anna Corinna Cagliano. Politecnico di Torino, Corso di laurea magistrale in Automotive Engineering (Ingegneria Dell'Autoveicolo), 2020
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Abstract
Rising customer expectations asking for highly customized products and short delivery lead times is putting under great pressure production and logistic systems, which are forced to become more flexible and reactive to demand requirements. On the market a wide range of options is present and new solutions are continuously introduced. This work thesis is divided in two main steps. First, after a general academic introduction on warehousing and storage systems, a thorough analysis of all the existing storage technologies for both pallet unit loads and small unit loads is conducted, in order to gain insights into the alternatives currently available and to highlight their strengths and weaknesses.
Especially as far as light loads are concerned a big variety of possibilities are present, but, despite the key role that the appropriate storage and retrieval system plays on warehouse performance, academic research on storage system selection is scarce and a large gap exists between academic literature and the practice of warehouse design
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