论文信息 - A DISCRETE DYNAMIC OPTIMIZATION MODEL FOR MADE‐TO‐ORDER COST ANALYSIS

A DISCRETE DYNAMIC OPTIMIZATION MODEL FOR MADE‐TO‐ORDER COST ANALYSIS

A model is presented that yields optimal production rates for a firm producing a contracted order. The model is unique in that it considers the influence of production rate and learning on total program cost. An application to the specific characteristics of two military production programs is presented. As demonstrated by the application, models of this type may be used as decision-making tools when negotiating the cost impact of contract modifications.

T. Gulledge | N. K. Womer | M. M. Tarimcilar

[1] T. P. Wright,et al. Factors affecting the cost of airplanes , 1936 .

[2] D. E. Muller. A method for solving algebraic equations using an automatic computer , 1956 .

[3] Jack Hirshleifer,et al. The Firm's Cost Function: A Successful Reconstruction? , 1962 .

[4] A. Alchian. Reliability of Progress Curves in Airframe Production , 1963 .

[5] L. Rapping. Learning and World War II Production Functions , 1965 .

[6] W. Oi. The Neoclassical Foundations of Progress Functions , 1967 .

[7] A. Washburn. The Effects of Discounting Profits in the Presence of Learning in the Optimization of Production Rates , 1972 .

[8] S. Rosen. Learning by Experience as Joint Production , 1972 .

[9] N. K. Womer. Learning Curves, Production Rate, and Program Costs , 1979 .

[10] N. K. Womer. Some Propositions on Cost Functions , 1981 .

[11] Thomas R. Gulledge,et al. A dynamic cost function for an airframe production program , 1983 .

[12] Thomas R. Gulledge,et al. Learning and costs in airframe production: A multiple‐output production function approach , 1984 .