Neapibrėžtumo efekto tiekimo grandinėse mažinimo modeliavimas

Abstract

In this work bullwhip effect in the supply chains was studied and reduction of the effect was analyzed. Simulation was done with Rockwell Arena software. Eight different models were created using two different bullwhip reduction schemes (batching removal and information sharing) with two different ordering distributions (normal and exponential distribution). Analyzed supply chain consisted of two groups of customers, two distributors, one manufacturer and two suppliers, producing different components for manufacturer. Information processing, lead and manufacturing times where stochastic values. Analysis is based on the mean value and standard deviation of orders and inventory level. Research showed, that most effective bullwhip reduction scheme is information sharing which let to reduce supplier’s inventory level up to 90%. Also effect reduction schemes are more effective when order variability is greater. This work is primary supply chain model. Therefore author offers to continue this work and do next analysis: to analyze other order distributions’ and other stochastic model variables influence to bullwhip reduction schemes, to analyze other supply chain structures, to do mathematical evaluation.