Inventory Management - A Case Study with NetLogo

Multi-Agent Systems (MAS) have been applied to several areas or tasks ranging from energy networks controlling to robot soccer teams. MAS are the ideal solution when they provide decision support in situations where human decision and actions are not feasible to operate the system in control and in real-time. Thus, we present a case study that is related to dynamic simulation of an automatic inventory management system. We provide two types of agents, the clients, and the seller agents. Through a system of communication, the agents exchange messages to fulfill their inventory needs. The client agents trade products in quantities according to their needs and rely on seller agents if other clients in the retailer chain cannot provide the needed items. Additionally, it is expected that the trading between a client and the sellers is done through a reverted type of auction. This case study MAS uses BDI and FIPA-ACL in its implementation resulting in a clear simulation of the system. We expect to provide a comparison between two distinct situations. One with only external transactions with providers, and a situation where both internal and external transactions are allowed.

READ FULL TEXT
research
10/03/2015

Client Profiling for an Anti-Money Laundering System

We present a data mining approach for profiling bank clients in order to...
research
01/23/2013

Artificial Decision Making Under Uncertainty in Intelligent Buildings

Our hypothesis is that by equipping certain agents in a multi-agent syst...
research
12/20/2018

Atomic Appends: Selling Cars and Coordinating Armies with Multiple Distributed Ledgers

The various applications using Distributed Ledger Technologies (DLT) or ...
research
04/22/2021

Optimal communication and control strategies in a multi-agent MDP problem

The problem of controlling multi-agent systems under different models of...
research
07/19/2023

Two Tales of Platoon Intelligence for Autonomous Mobility Control: Enabling Deep Learning Recipes

This paper presents the deep learning-based recent achievements to resol...
research
01/15/2021

Trading on-chain: how feasible is regulators' worst-case scenario?

When consumers trade financial products, they typically use well-identif...
research
12/04/2018

Analyzing Client Behavior in a Syringe Exchange Program

Multiple syringe exchange programs serve the Chicago metropolitan area, ...

Please sign up or login with your details

Forgot password? Click here to reset