MANUFACTURING COST ESTIMATION - A MULTIVARIATE LEARNING-CURVE APPROACH

被引：8

作者：

BADIRU, AB

机构：

[1] University of Oklahoma, Norman, OK

来源：

JOURNAL OF MANUFACTURING SYSTEMS | 1991年 / 10卷 / 06期

关键词：

LEARNING CURVE; MANUFACTURING PROGRESS FUNCTION; MULTIVARIATE ANALYSIS; COST ESTIMATION; PRODUCTIVITY ANALYSIS;

D O I：

10.1016/0278-6125(91)90001-I

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

This paper introduces an analytic framework for extending univariate learning curves (manufacturing progress functions) to multivariate models. Multivariate functions are needed to account for the multitude of factors that can influence learning in manufacturing operations. A specific example of a bivariate manufacturing progress function is presented:

引用

页码：431 / 441

页数：11

共 28 条

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[2] Badiru, Project Management in Manufacturing and High Technology Operations, (1988)
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[4] Belkaoui, The Learning Curve, (1986)
[5] Carlson, Cubic Learning Curves: Precision Tool for Labor Estimating, Manufacturing Engineering and Management, 71, 5, pp. 22-25, (1973)
[6] Carr, Peacetime Cost Estimating Requires New Learning Curves, Aviation, 45, (1946)
[7] Chase, Aquilano, Production and Operations Management, (1981)
[8] Conley, Experience Curves as a Planning Tool, IEEE Spectrum, 7, 6, pp. 63-68, (1970)
[9] Conway, Schultz, The Manufacturing Progress Function, Journal of Industrial Engineering, 1 No., pp. 39-53, (1959)
[10] Dada, Srikanth, Monopolistic Pricing and the Learning Curve: An Algorithmic Approach, Operations Research, 38, 4, pp. 656-666, (1990)

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