Optimality of zero-inventory policies for unreliable manufacturing systems
Operations Research
Some comments on a theorem of Hardy and Littlewood
Journal of Optimization Theory and Applications
Turnpike sets and their analysis in stochastic production planning problems
Mathematics of Operations Research
Hierarchical decision making in stochastic manufacturing systems
Hierarchical decision making in stochastic manufacturing systems
Journal of Optimization Theory and Applications
Optimal feedback production planning in a stochastic N-machine flowshop
Automatica (Journal of IFAC)
Optimal production planning in a stochastic manufacturing system with long-run average cost
Journal of Optimization Theory and Applications
Ergodic Control of Switching Diffusions
SIAM Journal on Control and Optimization
Dynamic modeling and control of supply chain systems: A review
Computers and Operations Research
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This paper is concerned with the problem of productionplanning in a flexible manufacturing system consisting of a singleor parallel failure-prone machines producing a number of differentproducts. The objective is to choose the rates of productionof the various products over time in order to meet their demandsat the minimum long-run average cost of production and surplus.The analysis proceeds with a study of the corresponding problemwith a discounted cost. It is shown using the vanishing discountapproach for the average cost problem that the Hamilton-Jacobi-Bellmanequation in terms of directional derivatives has a solution consistingof the minimal average cost and the so-called potential function.The result helps in establishing a verification theorem, andin specifying an optimal control policy in terms of the potentialfunction. The results settle a hitherto open problem as wellas generalize known results.