Planning models for continuous supply of parts in assembly systems

Caputo, Antonio Casimiro; Pelagagge, Pacifico M.; Salini, P.

doi:10.1108/aa-05-2014-040

Cited by 15 publications

(3 citation statements)

References 33 publications

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“…Cottyn et al (2008) as well as Govaert et al (2011) propose a simple model to plan an integrated kitting and LS feeding systems superseding traditional fork lift material handling. Planning models for continuous supply systems, both JIT And LS, are instead developed by Caputo et al (2015b). They also present a case study where break-even points are obtained as a function of lot size.…”

Section: Qualitative Approachesmentioning

confidence: 99%

A decision model for selecting parts feeding policies in assembly lines

Caputo

Pelagagge

Salini

2015

Industrial Management &Amp; Data Systems

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Purpose – The purpose of this paper is to develop an optimization model allowing the choice of parts feeding policy to assembly lines in order to minimize total cost. Design/methodology/approach – An integer linear programming mathematical model is developed to assign the optimal material feeding policy to each part type. The model allows choice between kitting, line stocking and just in time delivery policies. Findings – The choice of assembly lines feeding policy is not trivial and requires a thorough economic comparison of alternatives. It is found that a proper mix of parts feeding policies may be better that adopting a single material delivery policy for all parts. Research limitations/implications – The model is aimed at single-model assembly lines operating in a deterministic environment, but can be extended to the multi-model line case. While relevant quantitative cost drivers are included, some context-related qualitative factors are not included yet. The model assumes that information about product structure and part requirements are known and that a preliminary design of the assembly system has been carried out. Practical implications – Production managers are given a quantitative-decision tool to determine the optimal mix of material supply policies at an early decision stage. Originality/value – Respect previous simplified literature models, this approach allows to quantify a number of additional factors which are critical for successful implementation of cost-effective parts feeding systems, allowing comparison of alternative policies on a consistent basis.

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Section: Qualitative Approachesmentioning

confidence: 99%

A decision model for selecting parts feeding policies in assembly lines

Caputo

Pelagagge

Salini

2015

Industrial Management &Amp; Data Systems

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“…This usually implies moving parts from an internal warehouse to a dedicated storage area at the workstations (Caputo and Pelagagge, 2011;Kilic and Durmusoglu, 2015). Continuous material supply is one of the most common parts feeding methods, where each different part type is supplied in an individual container to the assembly line (Caputo et al, 2015a). This can be done, in turn, by adopting two different practices.…”

Section: Introductionmentioning

confidence: 99%

Modeling errors in parts supply processes for assembly lines feeding

Caputo

Pelagagge

Salini

2017

IMDS

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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.

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“…Kitting significa que varias partes se agrupan y clasifican en contenedores con kits de piezas, y a continuación se entregan Just-In-Sequence (JIS) en la línea de montaje pero no en el punto de consumo, para así poder así realizar la operación de montaje en el vehículo con el kit correspondiente (Boysen y Emde, 2014;Caputo et al, 2015d;Taylor, Hanson, y Medbo, 2012).…”

Section: Política Kittingunclassified

Modelos y métodos para el diseño de sistemas de aprovisionamiento a líneas de montaje con mezcla de modelos.

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Planning models for continuous supply of parts in assembly systems

Cited by 15 publications

References 33 publications

A decision model for selecting parts feeding policies in assembly lines

A decision model for selecting parts feeding policies in assembly lines

Modeling errors in parts supply processes for assembly lines feeding

Modelos y métodos para el diseño de sistemas de aprovisionamiento a líneas de montaje con mezcla de modelos.

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