Intelligent Agents and Risk Based Model for Supply Chain Management (original) (raw)

A Multi Agent-based Service Framework for Supply Chain Management

Procedia Computer Science, 2014

Supply chain coordination has emerged as one of the major areas for companies to gain a competitive edge in a globalized world. Business organizations are increasingly located at the intersection of multiple supply chain networks. Managing such networks is hugely dependent on automation through combining advanced technologies such as software agent technologies, service oriented technologies, Internet of Things etc. This paper presents a multi agent and web service framework for Collaborative Material Procurement System (CMPS) in a supply chain. The information used in CMPS is used in two forms: business service rules and service description cases. It utilizes this hybrid information in order to form appropriate service, by using rule-based reasoning (RBR) and case-based reasoning (CBR). This paper outlines the CMPS architecture, designed to automatically retrieve softwarebased services for the agents that coordinate the supply chain form a service repository using a semantics-driven service similarity assessment algorithm.

An Agent Based Service Oriented Model for Supply Chain Management

2015

In today's highly dynamic and competitive business environment the realization of the Supply Chain Management (SCM) has been a challenging task. Especially the dynamic nature of various processes involved in a SCM scenario demands for suitable policy to monitor and take suitable actions in order to handle changing customer requirements. In this article, we address this issue by proposing a service oriented model augmented with software agents. While the notion of service is used to decompose a complex inter-organizational supply chain task into well-defined service components, the notion of software agents has been used to monitor the workflow and the associated tasks. Further, the agents are designed to take both reactive and proactive decisions to facilitate cross-organizational information flow. This paper proposed a new framework to realize the desired collaboration among several autonomous and heterogeneous business processes across organizational boundaries. Further, we ha...

An agent-based architecture for supply chain management

2013 IEEE Eleventh International Symposium on Autonomous Decentralized Systems (ISADS), 2013

Business processes have been changing since the Internet was created, and they are now oriented towards a more distributed and collaborative business model, in an e-commerce environment that adapts itself to the competitive and changing market conditions. This paper presents a multi-agent system architecture for supply chain management, which explores different strategies and offers solutions in a distributed e-commerce environment. The system is designed to support different types of interfaces, which allow interoperating with other business models already developed. In order to show how the entire multi-agent system is being developed, the implementation of a collaborative agent is presented and explained. The testing and evaluation of the entire multi-agent system is being carried out in an agentbased experimentation platform.

Towards a Multi-Agent System Architecture for Supply Chain Management

ArXiv, 2021

Individual business processes have been changing since the Internet was created, and they are now oriented towards a more distributed and collaborative business model, in an e-commerce environment that adapts itself to the competitive and changing market conditions. This paper presents a multi-agent system architecture for supply chain management, which explores different strategies and offers solutions in a distributed e-commerce environment. The system is designed to support different types of interfaces, which allow interoperating with other business models already developed. In order to show how the entire multi-agent system is being developed, the implementation of a collaborative agent is presented and explained.

A multi-agent based framework for supply chain risk management

Journal of Purchasing and Supply Management, 2010

The high level of complexity of supply chains and the inherent risks that exist in both the demand and supply of resources-especially in economic downturns-are recognized as major limiting factors in achieving high levels of supply chain performance. The use of modern information technology (IT) decision support systems is fast becoming an indispensable tool for designing and managing complex supply chain systems today. This paper develops a framework for the design of a multi-agent based decision support system for the management disruptions and mitigation of risks in manufacturing supply chains.

Agent-Oriented Supply-Chain Management

International Journal of Flexible …, 2000

The supply chain is a worldwide network of suppliers, factories, warehouses, distribution centers, and retailers through which raw materials are acquired, transformed, and delivered to customers. In recent years, a new software architecture for managing the supply chain at the tactical and operational levels has emerged. It views the supply chain as composed of a set of intelligent software agents, each responsible for one or more activities in the supply chain and each interacting with other agents in the planning and execution of their responsibilities. This paper investigates issues and presents solutions for the construction of such an agent-oriented software architecture. The approach relies on the use of an agent building shell, providing generic, reusable, and guaranteed components and services for communicative-act-based communication, conversational coordination, role-based organization modeling, and others. Using these components, we show two nontrivial agent-based supply-chain architectures able to support complex cooperative work and the management of perturbation caused by stochastic events in the supply chain.

An Agent-Based Framework for Supply Chain Cooperation

Applied Mechanics and Materials, 2013

The importance of cooperation in the supply chain has led scholars to suggest diverse approaches for problems in the collaboration process. Cooperation refers to the integration of different parts of an organization or different organizations in supply chain to accomplish a collective set of tasks and to achieve mutual benefits. The use of modern information technology (IT) decision support systems is fast becoming an indispensable tool for designing and managing complex supply chain systems today. This study describes a model of intelligent framework for cooperation in the supply chain environment. The aim of the paper is to demonstrate that agent technology can represent the supply chains by (a) reviewing intelligent agent applications for supply chain and (b) illustrating how a multi-agent system can provides a solution for supply chain cooperation. We review and synthesis existing applications in comparison to traditional and Internet-based technologies and critically evaluate a...

Agent-based supply chain management—1: framework

Computers & Chemical Engineering, 2002

In the face of highly competitive markets and constant pressure to reduce lead times, enterprises today consider supply chain management to be the key area where improvements can significantly impact the bottom line. More enterprises now consider the entire supply chain structure while taking business decisions. They try to identify and manage all critical relationships both upstream and downstream in their supply chains. Some impediments to this are that the necessary information usually resides across a multitude of resources, is ever changing, and is present in multiple formats. Most supply chain decision support systems (DSSs) are specific to an enterprise and its supply chain, and cannot be easily modified to assist other similar enterprises and industries. In this two-part paper, we propose a unified framework for modeling, monitoring and management of supply chains. The first part of the paper describes the framework while the second part illustrates its application to a refinery supply chain. The framework integrates the various elements of the supply chain such as enterprises, their production processes, the associated business data and knowledge and represents them in a unified, intelligent and object-oriented fashion. Supply chain elements are classified as entities, flows and relationships. Software agents are used to emulate the entities i.e. various enterprises and their internal departments. Flows */ material and information */are modeled as objects. The framework helps to analyze the business policies with respect to different situations arising in the supply chain. We illustrate the framework by means of two case studies. A DSS for petrochemical cluster management is described together with a prototype DSS for crude procurement in a refinery. #

Agent-based transactional framework for the supply chain

Proceedings. International Conference on Machine Learning and Cybernetics, 2002

We propose a framework for supporting manufacturing activities as part of the supply chain management. The manufacturing process is seen as a network of processing nodes where products are either transformed or assembled. Each node is endowed with some autonomy that enables it to enhance the agility and the 'fluidity' of the manufacturing process. Nodes are able to search for the best deals on the market and to respond dynamically to changes in internal or external conditions. This requires transactional knowledge as well as some knowledge of the supply chain (embodied into the degree of availability at a particular node). This framework is modelled by a combination of agent technology and extended transaction models in order to facilitate dynamic activities in supply chain.

Multi-Agent Supply Chain Management: Design Issues for a Generic Architecture

2006

The supply chain is a worldwide network of suppliers, factories, warehouses, distribution centers, and retailers through which raw materials are acquired, transformed, and delivered to customers. Supply Chain Management (SCM) is extremely important to the manufacturing and retailing industries. In recent years, a new software architecture for managing the supply chain at the tactical and operational levels has emerged.