Optimal control of arrivals to token ring networks with exhaustive service discipline

Tseng, K.H.; Hsiao, M.-T.T.

doi:10.1109/infcom.1990.91321

Cited by 4 publications

(2 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…They assumed that costs are functions of the activity frequency which are performed on a node. Tseng and Hsiao (1995) studied optimal control of a queue system input with two stations under constraint of time delay in system in order to maximize throughput in the system. Kerbache and Smith (2000) studied optimal routing and positioning problems from the point of view of system optimization.…”

Section: Introductionmentioning

confidence: 99%

Multi-Objective Lead-Time Control Problem with Stochastic Constraints

Molavi

Hamzeli

Dalfard

2014

Journal of Applied Research and Technology

View full text Add to dashboard Cite

This research intends to find out any development of a robust multi-objective for lead time optimal control problem in a multi-stage assembly system model. Assembly system modeling is possible by the help of the open queue network. A working station includes one or infinite servers and just manufacturing or assembly operations are performed therein. Each part has a separate entry process and independent of each other. It is completely based upon Poisson process.Serving Lead Time of Stations are also independent of each other and therefore exponential distribution of each parameter is controllable. All stations have bounded uncertain unrecyclable wastes which are completely independent in compliance with Erlang distribution. Uncertainty in the problem parameters has been suggested as robust multi-objective optimal control model in which we have three incompatible target functions including cyclic operation cost minimization, average lead time minimization and lead time variance. Finally, target progress method has been applied in order to achieve serving optimal speeds and solve discrete time of the main problem approximately. The proposed model could present a suitable solution even for the same problem as mentioned in other related papers along with some considerable results in parameter uncertainty conditions.

show abstract

Section: Introductionmentioning

confidence: 99%

Multi-Objective Lead-Time Control Problem with Stochastic Constraints

Molavi

Hamzeli

Dalfard

2014

Journal of Applied Research and Technology

View full text Add to dashboard Cite

show abstract

“…For example, Jordan and Ku (1997) investigated the optimal control of two multiserver loss queues with two types of customers. Tseng and Hsiao (1995) analyzed the optimal control of the arrival rate to a two-station network of queues for the objective of maximum system throughput under a system time-delay constraint optimality criterion. Shioyama (1991) developed an optimal control problem in a queueing network system with two types of customers and two stages.…”

mentioning

confidence: 99%

Time-cost trade-off via optimal control theory in Markov PERT networks

2007

View full text Add to dashboard Cite

We develop a new analytical model for the time-cost trade-off problem via optimal control theory in Markov PERT networks. It is assumed that the activity durations are independent random variables with generalized Erlang distributions, in which the mean duration of each activity is a non-increasing function of the amount of resource allocated to it. Then, we construct a multi-objective optimal control problem, in which the first objective is the minimization of the total direct costs of the project, in which the direct cost of each activity is a non-decreasing function of the resources allocated to it, the second objective is the minimization of the mean of project completion time and the third objective is the minimization of the variance of project completion time. Finally, two multi-objective decision techniques, viz, goal attainment and goal programming are applied to solve this multi-objective optimal control problem and obtain the optimal resources allocated to the activities or the control vector of the problem

show abstract

A comparative study of three token ring protocols for real-time communications

Lim

Yao²,

Zhao

[1991] Proceedings. 11th International Conference on Distributed Computing Systems

View full text Add to dashboard Cite

Optimal control of arrivals to token ring networks with exhaustive service discipline

Cited by 4 publications

References 12 publications

Multi-Objective Lead-Time Control Problem with Stochastic Constraints

Multi-Objective Lead-Time Control Problem with Stochastic Constraints

Time-cost trade-off via optimal control theory in Markov PERT networks

A comparative study of three token ring protocols for real-time communications

Contact Info

Product

Resources

About