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Modeling errors in parts supply processes for assembly lines feeding

Antonio Casimiro Caputo (Department of Mechanical and Industrial Engineering, University of Roma Tre, Roma, Italy)
Pacifico Marcello Pelagagge (Department of Industrial Engineering, Information and Economics, University of L’Aquila, L’Aquila, Italy)
Paolo Salini (Department of Industrial Engineering, Information and Economics, University of L’Aquila, L’Aquila, Italy)

Industrial Management & Data Systems

ISSN: 0263-5577

Article publication date: 10 July 2017

Abstract

Purpose

The purpose of this paper is to develop a quantitative model to assess probability of errors and errors correction costs in parts feeding systems for assembly lines.

Design/methodology/approach

Event trees are adopted to model errors in the picking-handling-delivery-utilization of materials containers from the warehouse to assembly stations. Error probabilities and quality costs functions are developed to compare alternative feeding policies including kitting, line stocking and just-in-time delivery. A numerical case study is included.

Findings

This paper confirms with quantitative evidence the economic relevance of logistic errors (LEs) in parts feeding processes, a problem neglected in the existing literature. It also points out the most frequent or relevant error types and identifies specific corrective measures.

Research limitations/implications

While the model is general purpose, conclusions are specific to each applicative case and are not generalizable, and some modifications may be required to adapt it to specific industrial cases. When no experimental data are available, human error analysis should be used to estimate event probabilities based on underlying modes and causes of human error.

Practical implications

Production managers are given a quantitative decision tool to assess errors probability and errors correction costs in assembly lines parts feeding systems. This allows better comparing of alternative parts feeding policies and identifying corrective measures.

Originality/value

This is the first paper to develop quantitative models for estimating LEs and related quality cost, allowing a comparison between alternative parts feeding policies.

Keywords

Citation

Caputo, A.C., Pelagagge, P.M. and Salini, P. (2017), "Modeling errors in parts supply processes for assembly lines feeding", Industrial Management & Data Systems, Vol. 117 No. 6, pp. 1263-1294. https://doi.org/10.1108/IMDS-08-2016-0333

Publisher

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Emerald Publishing Limited

Copyright © 2017, Emerald Publishing Limited