Bayesian networks as a guide to value stream mapping for lean office implementation: a proposed framework

Tamie Takeda Yokoyama (), Satie Ledoux Takeda-Berger, Marco Aurélio Oliveira, Andre Hideto Futami, Luiz Veriano Oliveira Dalla Valentina and Enzo Morosini Frazzon
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Tamie Takeda Yokoyama: University Center Educational Society of Santa Catarina
Satie Ledoux Takeda-Berger: Federal University of Santa Catarina
Marco Aurélio Oliveira: University Center Educational Society of Santa Catarina
Andre Hideto Futami: University Center Educational Society of Santa Catarina
Luiz Veriano Oliveira Dalla Valentina: University Center Educational Society of Santa Catarina
Enzo Morosini Frazzon: Federal University of Santa Catarina

Operations Management Research, 2023, vol. 16, issue 1, No 4, 49-79

Abstract: Abstract Bayesian networks (BNs) are recognized worldwide for their ability to work with reasoning involving uncertainty. BNs are formed by a directed acyclic graph whose nodes are random variables with different states with associated conditional probabilities. BN allows identifying and prioritizing where to act first and simulating its results to avoid costs with changes without significant results. On the other hand, the lean office (LO) philosophy is recognized for focusing on reducing waste (which does not add value to the product or service) applied to the office environment. One of its main tools is the value stream mapping (VSM), which assists in the lean transformation, aiming at the visualization and elimination of wastes. In this context, this paper aims to propose a framework for using BNs as a guide in the VSM elaboration to implement the LO, with prioritization of lead time (LD) reduction more reliably. To evaluate the validity of the proposed framework, a case study was conducted in a product development department of an electronics industry. The results demonstrated the feasibility and effectiveness of the proposed framework. Accordingly, the contributions of this paper are twofold. In theoretical terms, it promotes increased knowledge by exploring the combination of BNs with LO. In practical terms, the proposed framework is easy to apply and understand, allowing managers and professionals to implement it to reduce lead time in other types of processes in different industries. Thus, it can support decision-makers in eliminating waste in their processes.

Keywords: Bayesian networks; Lean office; Value stream mapping; Product development process; Lead time reduction (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s12063-022-00274-8

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