Systems analysis of cellular networks under uncertainty

Designing Cellular Manufacturing Systems under Uncertainty

This paper addresses a stochastic model in order to design the cellular manufacturing systems (CMSs) under uncertain environment. In real-world cases, any parameters such as demand, processing time, inter arrival time and etc may change over the planning horizon. In this research, it’s assumed that processing time for parts on machines and arrival time for parts to cells are stochastic and desc...

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...

Analyzing Bullwhip Effect in Supply Networks under Exogenous Uncertainty

This paper explains a model for analyzing and measuring the propagation of order amplifications (i.e. bullwhip effect) for a single-product supply network topology considering exogenous uncertainty and linear and time-invariant inventory management policies for network entities. The stream of orders placed by each entity of the network is characterized assuming customer demand is ergodic. In fa...

Systems under Demand Uncertainty

Systems under Demand Uncertainty