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http://hdl.handle.net/10773/41321
Title: | PDCA Protocol to ensure a Data-Driven Approach for Problem-Solving |
Author: | Brochado, Ângela Rocha, Eugénio Pimentel, Carina |
Keywords: | Continuous improvement PDCA cycle Data-driven protocol Problem-solving methodologies KPI tree |
Issue Date: | 2022 |
Publisher: | IEOM Society International |
Abstract: | Problem-solving based, as much as possible, on real data, expert knowledge, and on-field observation are quite desired objectives. However, it creates several difficulties on deployment in real situations. In this work, a data-driven version of the well-known PDCA cycle is proposed for continuous improvement within a general class of problems represented by key performance indicators (KPI). Such class is wide enough to accommodate several real problems but still has a controlled level of complexity that allows defining a general data-driven protocol that covers all the (sub)steps of the cycle. New approaches and alternatives in the literature are discussed. A brief example of one of the steps of the protocol is given with real data from a company that adopts many of the new Industry 4.0 technologies. |
Peer review: | yes |
URI: | http://hdl.handle.net/10773/41321 |
DOI: | 10.46254/AN12.20220973 |
ISBN: | 978-1-7923-6131-9 |
Appears in Collections: | CIDMA - Capítulo de livro DEGEIT - Capítulo de livro GOVCOPP - Capítulo de livro FAAG - Capítulo de livro |
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