Optimal Design of Queuing Systems via Compositional Stochastic Programming
نویسندگان
چکیده
منابع مشابه
Stochastic extension of cellular manufacturing systems: a queuing-based analysis
Clustering parts and machines into part families and machine cells is a major decision in the design of cellular manufacturing systems which is defined as cell formation. This paper presents a non-linear mixed integer programming model to design cellular manufacturing systems which assumes that the arrival rate of parts into cells and machine service rate are stochastic parameters and descri...
متن کاملOptimal Power Dispatch via Multistage Stochastic Programming
The short term cost optimal dispatch of electric power in a generation sys tem under uncertain electricity demand is considered The system comprises thermal and pumped storage hydro units An operation model is developed which represents a multistage mixed integer stochastic program and a conceptual solution method using La grangian relaxation is sketched For xed start up and shut down decisions...
متن کاملThe optimal warehouse capacity: A queuing-based fuzzy programming approach
Among the various existing models for the warehousing management, the simultaneous use of private and public warehouses is as the most well-known one. The purpose of this article is to develop a queuing theory-based model for determining the optimal capacity of private warehouse in order to minimize the total corresponding costs. In the proposed model, the available space and budget to create a...
متن کاملOptimum beam design via stochastic programming
The purpose of the paper is to discuss the applicability of stochastic programming models and methods to civil engineering design problems. In cooperation with experts in civil engineering, the problem concerning an optimal design of beam dimensions has been chosen. The corresponding mathematical model involves an ODE-type constraint, uncertain parameter related to the material characteristics ...
متن کاملCompositional Stochastic Modeling and Probabilistic Programming
Probabilistic programming is related to a compositional approach to stochastic modeling by switching from discrete to continuous time dynamics. In continuous time, an operator-algebra semantics is available in which processes proceeding in parallel (and possibly interacting) have summed time-evolution operators. From this foundation, algorithms for simulation, inference and model reduction may ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Transactions on Communications
سال: 2019
ISSN: 0090-6778,1558-0857
DOI: 10.1109/tcomm.2019.2939468