We consider a production-inventory planning problem with time-varying demands, convex production costs and a warehouse capacity constraint. It is solved by use of the Lagrangian form of the maximum principle. The possible existence of strong decision and forecast horizons is demonstrated. When...

This paper describes a maximum principle for distributed parameter systems, i.e. systems characterized by partial differential equations. The maximum principle is applied to solve the problem of a cattle rancher who must decide the number of cattle in different age groups to be bought and sold...

What is Optimal Control Theory? -- The Maximum Principle: Continuous Time -- The Maximum Principle: Mixed Inequality Constraints -- The Maximum Principle: General Inequality Constraints -- Applications to Finance -- Applications to Production and Inventory -- Applications to Marketing -- The...

Solutions for Chapter 1 -- Solutions for Chapter 2 -- Solutions for Chapter 3 -- Solutions for Chapter 4 -- Solutions for Chapter 5 -- Solutions for Chapter 6 -- Solutions for Chapter 7 -- Solutions for Chapter 8 -- Solutions for Chapter 9 -- Solutions for Chapter 10 -- Solutions for Chapter 11...

Management science applications frequently involve problems of controlling continuous time dynamic systems, that is, systems which evolve over time. Optimal control theory, a relatively new branch of mathematics, determines the optimal way to control such a dynamic system. The purpose of this...

First-order necessary and sufficient conditions are obtained for the following quasilinear distributed-parameter optimal control problem:max{J(u)=IntF(x,u,t)dw IntG(x,t)dsigma},subject to the partial differential equationA(t)x =f(x, u, t),where t, u, G are vectors and x, F are scalars. Use is...