Titlebook: Recent Advances in Control and Optimization of Manufacturing Systems; George Yin (Dr),Qing Zhang (Dr) Conference proceedings 1996 Springer

健壯

Optimal control of a failure prone manufacturing system with the possibility of temporary increase nce between the costs of building inventory, “buying” extra capacity, and backlogged demand. In this paper, we address this problem in the context of a single failure prone machine that produces a single part-type and show that the optimal control policy is a switching policy that is generally characterized by three switching levels.

FECK

Using second moment information in stochastic scheduling,istribution information about the random quantities. In particular, we allow general dependence among the stochastic quantities and require at most two moments of each distribution function. Our objective is to minimize expected tardiness. We investigate the benefits of the scheduling heuristic versus a dispatching rule using a simulation study.

fulcrum

Matrix methods in production planning of failure prone manufacturing systems,rival. The inter-arrival time of the demand, up time of the machine and processing time for one unit of product are exponentially distributed. When the machine is down, it is subject to a sequence of . repairing phases. In each phase, the repair time is exponentially distributed. The machine states

Oscillate

Optimal control of a failure prone manufacturing system with the possibility of temporary increase periods in which the production capacity is not sufficient to satisfy demand, and (b) temporarily increasing the production capacity, for example, by hiring temporary workers, adding overtime and/or extra shifts, or outsourcing part of the production. A production control problem is to strike a bala

歡呼

Optimal control of manufacturing systems with buffer holding costs,sts. Under the assumption that the machines are reliable, we discuss and extend the method of solution used by Perkins and Kumar [31]. This approach exploits the structural properties of controls which perform well, and shows that an optimal control is determined by solving a series of quadratic pro

我沒有命令

Using second moment information in stochastic scheduling, fail at random intervals, or both. Dispatching rules based on substituting expected values for random quantities are often used for scheduling in this uncertain environment. The scheduling heuristic we propose performs restricted dynamic updating of an initial schedule for the shop, using limited d

木質(zhì)

協(xié)定

Asymptotic optimal feedback controls in stochastic dynamic two-machine flowshops,e problem is difficult to solve, it can be approximated by a deterministic problem when the rates of machine failure and repair become large. Furthermore, beginning with the solution of the deterministic problem, we can construct a feedback control for the stochastic flowshop that is asymptotically

Oligarchy

palette

On robust design for a class of failure prone manufacturing systems,ration, a new model for failure prone flexible manufacturing system with machines subject to breakdown and repair is proposed and analyzed. The machine capacity is assumed to be a Markov chain with finite state space, whereas the demand rate is treated as a bounded disturbance that can be determinis