Paper Info
Title
Real-Time Multi-agent Forecasting and Replenishment Solution for LEGOs Branded Retail Outlets
Abstract
The paper describes main features of a real-time forecasting and scheduling multi-agent solution designed for the LEGO Company. The design is based on Knowledge Genesis Group own multi-agent platform and technology, which provide real-time adaptive event-driven scheduling to replenish products to LEGO Branded Retail stores. The prototype system has been used to schedule 20 US-based LEGO retail outlets for a yearlong trial period and has achieved the following results:Reduction of lost sale from 40% to 16%; Increase in service level from 66% to 86%;Increase in profitability 56% to 81%. The results show a considerable potential value for full scale LEGO supply chain multi-agent solution which would be able to dynamically and adaptively re-schedule deliveries in real time.
Year
DOI
Venue
2012
10.1109/SNPD.2012.25
SNPD
Keywords
Field
DocType
replenishment solution,lego company,us-based lego retail outlet,knowledge genesis group,real-time adaptive event-driven scheduling,own multi-agent platform,retail outlets,real-time multi-agent forecasting,chain multi-agent solution,retail store,full scale lego supply,real-time forecasting,multi-agent solution,job shop scheduling,stock control,real time systems,ontologies,profitability,forecasting,retailing,supply chain,real time,demand forecasting,multi agent systems,supply chains,supply chain management,scheduling
Job shop scheduling,Service level,Demand forecasting,Computer science,Scheduling (computing),Simulation,Operations research,Multi-agent system,Supply chain management,Profitability index,Supply chain,Distributed computing
Conference
Citations 
PageRank 
References 
4
0.67
0
Authors
4
Name
Order
Citations
PageRank
Bjorn Madsen141.01
Petr Skobelev211824.61
George Rzevski36912.37
Alexander Tsarev4306.44