A Generalized Learning Curve Adapted for Purchasing and Cost Reduction Negotiations

This paper presents the use and validation of a generalized learning curve in the economies of scale purchasing experience. The model, based on Wright’s curve, incorporates two extra degrees of freedom to accommodate initial purchases of multiple (instead of single) units and a finite asymptotic pri...

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Main Author: Lam F. Wong
Format: Article
Language:English
Published: Hindawi Limited 2013-01-01
Series:Advances in Operations Research
Online Access:http://dx.doi.org/10.1155/2013/584762
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spelling doaj-854e2890d48a4f5ca4e7d9d81d8e53e32020-11-24T22:06:44ZengHindawi LimitedAdvances in Operations Research1687-91471687-91552013-01-01201310.1155/2013/584762584762A Generalized Learning Curve Adapted for Purchasing and Cost Reduction NegotiationsLam F. Wong0Department of Engineering & Engineering Technology, Cuyahoga Community College, MHCS 122, 2900 Community College Avenve, Cleveland, OH 44115-3196, USAThis paper presents the use and validation of a generalized learning curve in the economies of scale purchasing experience. The model, based on Wright’s curve, incorporates two extra degrees of freedom to accommodate initial purchases of multiple (instead of single) units and a finite asymptotic price at high volumes. The study shows that each time the part purchase quantity is doubled, the price is reduced either by a constant percentage (a learning rate) or by an approach to an asymptotic plateau rate indicating a point of diminishing returns. Supplier price quotations at multiple purchase quantities were obtained for a pool of 17 critical parts. The data were fitted with the generalized learning curve by the method of least squares regression. The regressed learning rate, first unit price, and the asymptotic price can be used to infer supplier pricing strategies. Coupled with a “should-cost” analysis based on estimates of standard time and material, a system cost reduction task was carried out by the supply chain organization.http://dx.doi.org/10.1155/2013/584762
collection DOAJ
language English
format Article
sources DOAJ
author Lam F. Wong
spellingShingle Lam F. Wong
A Generalized Learning Curve Adapted for Purchasing and Cost Reduction Negotiations
Advances in Operations Research
author_facet Lam F. Wong
author_sort Lam F. Wong
title A Generalized Learning Curve Adapted for Purchasing and Cost Reduction Negotiations
title_short A Generalized Learning Curve Adapted for Purchasing and Cost Reduction Negotiations
title_full A Generalized Learning Curve Adapted for Purchasing and Cost Reduction Negotiations
title_fullStr A Generalized Learning Curve Adapted for Purchasing and Cost Reduction Negotiations
title_full_unstemmed A Generalized Learning Curve Adapted for Purchasing and Cost Reduction Negotiations
title_sort generalized learning curve adapted for purchasing and cost reduction negotiations
publisher Hindawi Limited
series Advances in Operations Research
issn 1687-9147
1687-9155
publishDate 2013-01-01
description This paper presents the use and validation of a generalized learning curve in the economies of scale purchasing experience. The model, based on Wright’s curve, incorporates two extra degrees of freedom to accommodate initial purchases of multiple (instead of single) units and a finite asymptotic price at high volumes. The study shows that each time the part purchase quantity is doubled, the price is reduced either by a constant percentage (a learning rate) or by an approach to an asymptotic plateau rate indicating a point of diminishing returns. Supplier price quotations at multiple purchase quantities were obtained for a pool of 17 critical parts. The data were fitted with the generalized learning curve by the method of least squares regression. The regressed learning rate, first unit price, and the asymptotic price can be used to infer supplier pricing strategies. Coupled with a “should-cost” analysis based on estimates of standard time and material, a system cost reduction task was carried out by the supply chain organization.
url http://dx.doi.org/10.1155/2013/584762
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