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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
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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