Multi-agent based beam search for intelligent production planning and scheduling

A multi Agent System Based on Modified Shifting Bottleneck and Search Techniques for Job Shop Scheduling Problems

This paper presents a multi agent system for the job shop scheduling problems. The proposed system consists of initial scheduling agent, search agents, and schedule management agent. In initial scheduling agent, a modified Shifting Bottleneck is proposed. That is, an effective heuristic approach and can generate a good solution in a low computational effort. In search agents, a hybrid search ap...

Multi-Agent-Based Production Planning and Control

An intelligent optimal production scheduling approach using constraint-based search and agent-based collaboration

This research introduces an intelligent approach for identifying the optimal production schedule to satisfy product and manufacturing constraints. In this approach, product constraints are modeled using a feature-based product representation scheme. Manufacturing constraints are described as available resources including facilities and persons. Manufacturing requirements for producing the produ...

Trial-Based Heuristic Tree-search for Distributed Multi-Agent Planning

We present a novel search scheme for privacypreserving multi-agent planning. Inspired by UCT search, the scheme is based on growing an asynchronous search tree by running repeated trials through the tree. We describe key differences to classical multiagent forward search, discuss theoretical properties of the presented approach, and evaluate it based on benchmarks from the CoDMAP competition.

Agent-based approach for cooperative scheduling

This paper studies the multi-factory production (MFP) network scheduling problem where a number of different individual factories join together to form a MFP network, in which these factories can operate more economically than operating individually. However, in such network which known as virtual production network with self-interested factories with transportation times, each individual facto...