Title: Integrating considerations of uncertainty within the OEE of a manufacturing line

Authors: Marcello Braglia; Davide Castellano; Marco Frosolini; Mosè Gallo

Addresses: Dipartimento di Ingegneria Civile e Industriale, Università di Pisa, Largo Lucio Lazzarino, 56122 Pisa, Italy ' Dipartimento di Ingegneria Chimica, dei Materiali e della Produzione Industriale, Università degli Studi di Napoli 'Federico II' Piazzale V. Tecchio 80, 80125 Napoli, Italy ' Dipartimento di Ingegneria Civile e Industriale, Università di Pisa, Largo Lucio Lazzarino, 56122 Pisa, Italy ' Dipartimento di Scienze Giuridiche ed Economiche, Università Telematica Pegaso, Piazza Trieste e Trento 48, 80132 Napoli, Italy

Abstract: Lean manufacturing has become a paramount production paradigm in many industrial sectors and overall equipment effectiveness (OEE) is a widely accepted and adopted lean metric for any type of machine/equipment. However, the standard OEE formulation presents two important limits: 1) it deals with a single machine; 2) gives a deterministic measure of effectiveness. The objective of this paper is to overcome both of these two shortcomings by proposing a Fuzzy approach for measuring the OEE of a manufacturing line (OEEML). Hence, starting from a possible definition of OEEML, this paper provides a framework to measure its modal value and its variability on an entire manufacturing line. The approach exploits fuzzy triangular numbers instead of burdensome stochastic quantities to measure this variability. Furthermore, it integrates a method which enables us to avoid the annoying 'overestimation effect' of FTNs. The integrated approach has proved to be useful in consistently capturing the OEEML variations, also, both the modal value and the range obtained from its application are good estimators of both the OEEML and its variability. A full case study is finally provided to show the effectiveness of the proposed approach in diagnosing problems and addressing improvement actions.

Keywords: lean manufacturing; overall equipment effectiveness; OEE; stochastic; variability; manufacturing line; fuzzy triangular numbers; FTNs; overestimation.

DOI: 10.1504/IJISE.2019.10010483

International Journal of Industrial and Systems Engineering, 2019 Vol.32 No.4, pp.469 - 496

Received: 31 Mar 2017
Accepted: 19 Nov 2017
Published online: 02 Aug 2019 *

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