A multi-agent approach to the integrated production scheduling and distribution problem in multi-factory supply chain

2018 ◽  
Vol 65 ◽  
pp. 577-589 ◽  
Author(s):  
Ali Gharaei ◽  
Fariborz Jolai
Keyword(s):  
Supply Chain ◽  
Production Scheduling ◽  
Distribution Problem ◽  
Integrated Production ◽  
Multi Agent

A Memetic Algorithm for Integrated Production Distribution Problem in a Supply Chain

2021 ◽  
pp. 198-224
Author(s):  
Nihan Kabadayi
Keyword(s):  
Supply Chain ◽  
Memetic Algorithm ◽  
Real Life ◽  
Data Sets ◽  
Distribution Problem ◽  
Setup Cost ◽  
Integrated Production ◽  
Holding Costs ◽  
Life Problems ◽  
Production Distribution

Supply chain is a complex system in which most of the activities are inter-related, and changes in one of these activities can affect the performance of the other processes. Thus, integrated management strategies in a supply chain can yield considerable advantages throughout the system as supply chain members and customers become more integrated. In this study, a memetic algorithm is proposed to solve the integrated production-distribution problem. The objective of the problem is to find optimal production quantity, customer delivery quantity, and schedule to minimize the total system cost, which is composed of production setup cost and variable production cost, inventory holding costs, and distribution cost. The effectiveness of the proposed algorithm is tested on the existing data sets. According to test results, the proposed algorithm is a very effective method to solve integrated production-distribution problems. To assess to benefits and applicability of the method on the real-life problems, a case study is conducted in a Turkish water manufacturing company.

Expert System Aided Multi-Agent Intelligent Ant Colony Optimization System

2011 ◽  
Vol 121-126 ◽  
pp. 2021-2025 ◽  
Author(s):  
Jing Hua Zhao ◽  
Jie Lin
Keyword(s):  
Supply Chain ◽  
Expert System ◽  
Mass Customization ◽  
Production Scheduling ◽  
Ant Colony Algorithm ◽  
Ant Colony ◽  
Production Environment ◽  
Scheduling Model ◽  
Decomposition Structure ◽  
Multi Agent

In the dynamic production environment of supply chain, based on information sharing among enterprises of supply chain, this paper designs an expert system aided multi-agent intelligent ant colony algorithm system to solve the production scheduling optimization model. Where ant colony is constructed with multi-agent and the order decomposition structure and constraint are expressed by expert system. And then it builds a system using JESS and JADE to confirm this algorithm applied in a mass customization supply chain scheduling model

scholarly journals Development of a Multi-agent System for Supply Chain Management Efficiency Improvement

2021 ◽  
Author(s):  
Darja Plinere
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Inventory Management ◽  
Production Scheduling ◽  
Total Production ◽  
Multi Agent System ◽  
Agent System ◽  
Chain Management ◽  
Management Efficiency ◽  
Multi Agent

The aim of the doctoral thesis is to develop an approach to the multi-agent system development that ensures the improvement of supply chain management efficiency. The developed approach allows creating a multi-agent system that can be used for various supply chain participants, as it reviews main supply chain processes and tasks to be solved. Various inventory management methods were used in the developed multi-agent system: forecasting algorithms, ABC analysis, and inventory replenishment point determination. Production scheduling and rescheduling were also used in the multi-agent system to reduce the total production time.

Quality safety of agricultural products in supply chain-computer simulation based on multi-agent system

2021 ◽  
pp. 1-8
Author(s):  
Wei Zhou ◽  
Maha Saad Metawea
Keyword(s):  
Computer Simulation ◽  
Supply Chain ◽  
Agricultural Products ◽  
Computer Simulation Model ◽  
Quality And Safety ◽  
Multi Agent System ◽  
Agent System ◽  
Supply Chain System ◽  
Multi Agent ◽  
Countermeasures And Suggestions

As is known that, one of the challenges in ensuring the quality and safety of agricultural products in China is how to organize plenty of scattered small farmers and integrate them into the modern agricultural products supply chain system. In this paper, in order to promote the tight integration of agricultural products supply chain, based on multi-agent system, a computer simulation model of agricultural products supply chain is proposed. Through a series of simulation experiments, the evolution of the organizational structure of the agricultural products supply chain, its impact on the quality and safety of agricultural products under different government regulations are explored and discussed in detail. It follows from these simulation results that the more long-term-contract farmers and sellers, the more conducive to the improvement of the quality and safety of agricultural products, and the corresponding countermeasures and suggestions are also provided.

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