Multi-agent enabled modeling and simulation towards collaborative inventory management in supply chains

2002 ◽  
Author(s):  
Yonghui Fu ◽  
R. Piplani ◽  
R. de Souza ◽  
Jingru Wu
Keyword(s):  
Modeling And Simulation ◽  
Supply Chains ◽  
Inventory Management ◽  
Multi Agent

The use of intelligent agents in modeling an integrated information system of transport logistics

2020 ◽  
Vol 5 ◽  
pp. 59-66
Author(s):  
Y.M. Iskanderov ◽  
Keyword(s):  
Information System ◽  
Supply Chains ◽  
Intelligent Agents ◽  
Technological Processes ◽  
Transport Services ◽  
Wide Range ◽  
Integrated Information System ◽  
Multi Agent ◽  
Transport Logistics ◽  
Integrated Information

Aim. The use of intelligent agents in modeling an integrated information system of transport logistics makes it possible to achieve a qualitatively new level of design of control systems in supply chains. Materials and methods. The article presents an original approach that implements the possibilities of using multi-agent technologies in the interests of modeling the processes of functioning of an integrated information system of transport logistics. It is shown that the multi-agent infrastructure is actually a semantic shell of the information system, refl ecting the rules of doing business and the interaction of its participants in the supply chains. The characteristic of the model of the class of an intelligent agent, which is basic for solving problems of management of transport and technological processes, is given. Results. The procedures of functioning of the model of integration of information resources of the participants of the transport services market on the basis of intelligent agents are considered. The presented procedures provide a wide range of network interaction operations in supply chains, including traffi c and network structure “fl exible” control, mutual exchange of content and service information, as well as their distributed processing, and information security. Conclusions. The proposed approach showed that the use of intelligent agents in modeling the functioning of an integrated information system makes it possible to take into account the peculiarities of transport and technological processes in supply chains, such as the integration of heterogeneous enterprises, their distributed organization, an open dynamic structure, standardization of products, interfaces and protocols.

scholarly journals 115 The Beef Industry in a Post-Pandemic World

2021 ◽  
Vol 99 (Supplement_1) ◽  
pp. 40-40
Author(s):  
Derrell S Peel
Keyword(s):  
Supply Chains ◽  
Inventory Management ◽  
Service Sector ◽  
Food Service ◽  
Consumer Products ◽  
Labor Management ◽  
Beef Industry ◽  
Design Changes ◽  
The Face ◽  
Retail Grocery

Abstract The onset of the COVID-19 pandemic in 2020 caused unprecedented shocks and disruptions in the cattle and beef industry. The shutdown of food service in March 2020 caused an unparalleled stacking of food demand on the retail grocery sector. The rigidity and specialized nature of food service and retail grocery supply chains, compounded by a surge in consumer demand at retail grocery, resulted in temporary shortages of meat in other consumer products in supermarkets. The food service sector recovered somewhat over many weeks but remained diminished through the balance of 2020 and beyond. In April 2020, COVID-19 infections affected the labor forces of many meat packing and processing facilities and resulted in significant reductions in beef packing and further processing for eight to twelve weeks. This caused additional product shortages in retail grocery and food service sectors. These impacts have raised many questions about how the beef industry might adapt to be more resilient in the face of such profound disruptions. Possible changes include more use of multi-purpose facilities (less specialized for food service or retail grocery supply chains); design changes in new plants and retrofitting existing facilities to reduce human health impacts; changes in labor management; changes in inventory management; and changes in business supply chain management and risk assessment practices.

A Simulation Approach for Analyzing MAS Model of SIS

2012 ◽  
Vol 468-471 ◽  
pp. 173-180
Author(s):  
Yi Ning Song ◽  
Zhi Li
Keyword(s):  
Information System ◽  
Modeling And Simulation ◽  
Longitudinal Analysis ◽  
Satellite System ◽  
Model Structure ◽  
Multi Agent System ◽  
Simulation Approach ◽  
Agent System ◽  
Agent Model ◽  
Multi Agent

The purpose of this paper is to explore the effective approach of Multi-Agent system(MAS) modeling and simulation. A detailed study of modeling and simulation of Space Information System has been carried out by combining controlled and intelligent requirements. To begin with we will provide a brief background on the Multi-Agent System concept and structure. Furthermore, grasp the model structure through vertical and longitudinal analysis with the consideration of emergence and collaboration. In addition, we described the Multi-agent model for Space Information System(SIS). Finally, algorithms of realizing the collaboration structures of the communication satellite system that presented in this paper were described.

scholarly journals Modelling of Traffic Flows and Supply Chains Based on Geospatial Knowledge

2021 ◽  
Vol 2068 (1) ◽  
pp. 012042
Author(s):  
A Kolesnikov ◽  
P Kikin ◽  
E Panidi
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Supply Chains ◽  
Inventory Management ◽  
Traffic Flows ◽  
Machine Learning Methods ◽  
Customer Interaction ◽  
Long Term Impact ◽  
Artificial Intelligence Systems

Abstract The field of logistics and transport operates with large amounts of data. The transformation of such arrays into knowledge and processing using machine learning methods will help to find additional reserves for optimizing transport and logistics processes and supply chains. This article analyses the possibilities and prospects for the application of machine learning and geospatial knowledge in the field of logistics and transport using specific examples. The long-term impact of geospatial-based artificial intelligence systems on such processes as procurement, delivery, inventory management, maintenance, customer interaction is considered.

Methodics to Create Effective Inventory Management System in a Company

2014 ◽  
Vol 708 ◽  
pp. 245-250 ◽  
Author(s):  
Martin Hart ◽  
Miroslav Musil ◽  
Pavel Taraba
Keyword(s):  
Supply Chains ◽  
Inventory Management ◽  
Management System ◽  
Logistics Management ◽  
Management Systems ◽  
Global Markets ◽  
Industrial Companies ◽  
Inventory Management System ◽  
Business Conditions ◽  
A Company

Pursuant to the statistics data of Eurostat, the economy of European Union is slowly recovering from year lasting recession. The gross domestic product volume increased in 2nd quarter of the year 2013 by 0.3%. The industrial companies in EU are nevertheless facing still increasing competitiveness as the European and global markets are developing under current business conditions. To be successful within the frame of current supply chains the companies must have well-developed logistics management systems to effectively treat with flows streaming in their inner or outer supply chains. One of the main elements of company logistics management systems is inventory management subsystem to plan, to manage and to control particular stock items. In the paper it is briefly described the methodics to design effective inventory management system whether in industrial or service company.

UUV formation system modeling and simulation research based on Multi-Agent Interaction Chain

2015 ◽  
Vol 06 (02) ◽  
pp. 1550019 ◽  
Author(s):  
Hongtao Liang ◽  
Fengju Kang ◽  
Honghong Li
Keyword(s):  
Modeling And Simulation ◽  
System Modeling ◽  
Rule Base ◽  
Communication Model ◽  
Static Structure ◽  
Dynamic Contract ◽  
Novel Approach ◽  
Agent Interaction ◽  
Multi Agent ◽  
Formation System

Unmanned Underwater Vehicle (UUV) formation system has an important role in the utilization of marine resource. In order to provide an efficient method to research modeling and simulation of UUV formation in the marine environment, the novel approach based on Multi-Agent Interaction Chain was proposed for the UUV formation system. Firstly, Multi-Agent Interaction Chain was analyzed, which mainly considered task and role of UUV in the formation, and the overall modeling process of UUV formation system based on Multi-Agent Interaction Chain was established. Then, the static structure of Multi-Agent Interaction Chain was researched focusing on Hybrid UUV-Agent model structure from the UUV-Agent State-Set and UUV-Agent Rule-Base which were the two aspects to strengthen reliability of interaction chain; the dynamic mechanism of Multi-Agent Interaction Chain was designed, which was focused on collaboration model and communication model through the Adaptive Dynamic Contract Net Protocol and KQML/XML/RTI. Finally, three experiments were established to verify the validity and effectiveness of proposed modeling approach for UUV formation system. Simulation results show the proposed model has good performance, which has important theoretical innovation and application prospects.

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