Multi Agent Systems in Logistics: A Literature and State-of-the-art Review

Based on a literature survey, we aim to answer our main question: “How should we plan and execute logistics in supply chains that aim to meet today’s requirements, and how can we support such planning and execution using IT?†Today’s requirements in supply chains include inter-organizational collaboration and more responsive and tailored supply to meet specific demand. Enterprise systems fall short in meeting these requirements The focus of planning and execution systems should move towards an inter-enterprise and event-driven mode. Inter-organizational systems may support planning going from supporting information exchange and henceforth enable synchronized planning within the organizations towards the capability to do network planning based on available information throughout the network. We provide a framework for planning systems, constituting a rich landscape of possible configurations, where the centralized and fully decentralized approaches are two extremes. We define and discuss agent based systems and in particular multi agent systems (MAS). We emphasize the issue of the role of MAS coordination architectures, and then explain that transportation is, next to production, an important domain in which MAS can and actually are applied. However, implementation is not widespread and some implementation issues are explored. In this manner, we conclude that planning problems in transportation have characteristics that comply with the specific capabilities of agent systems. In particular, these systems are capable to deal with inter-organizational and event-driven planning settings, hence meeting today’s requirements in supply chain planning and execution.supply chain;MAS;multi agent systems

Multi Agent Systems in Logistics: A Literature and State-of-the-art Review

Based on a literature survey, we aim to answer our main question: “How should we plan and execute logistics in supply chains that aim to meet today’s requirements, and how can we support such planning and execution using IT?” Today’s requirements in supply chains include inter-organizational collaboration and more responsive and tailored supply to meet specific demand. Enterprise systems fall short in meeting these requirements The focus of planning and execution systems should move towards an inter-enterprise and event-driven mode. Inter-organizational systems may support planning going from supporting information exchange and henceforth enable synchronized planning within the organizations towards the capability to do network planning based on available information throughout the network. We provide a framework for planning systems, constituting a rich landscape of possible configurations, where the centralized and fully decentralized approaches are two extremes. We define and discuss agent based systems and in particular multi agent systems (MAS). We emphasize the issue of the role of MAS coordination architectures, and then explain that transportation is, next to production, an important domain in which MAS can and actually are applied. However, implementation is not widespread and some implementation issues are explored. In this manner, we conclude that planning problems in transportation have characteristics that comply with the specific capabilities of agent systems. In particular, these systems are capable to deal with inter-organizational and event-driven planning settings, hence meeting today’s requirements in supply chain planning and execution

Object-oriented design processes of electronic commerce in a multi-agent environment

[[abstract]]Corporations are moving from traditional management into a world of agile and electronic business. Such businesses have continually sought to develop information technology (IT) systems, in order to assist in the decision-making of the business process. Due to rapid changes in the business environment this process is subject to ongoing examination. To ensure the agility of electronic commerce, business design process problems must be addressed by a team of specialists or intelligent agents, and be based on object-oriented design, characterized by computability, reusability, and exchangeability. This paper proposes a multi-agent system encompassing an object-oriented approach, to design processes for electronic commerce. This approach entails solutions to design processes, for decision-makers who are geographically separated and operate on differing computer platforms. By combining various objects, different types of design processes can be solved with the same agent-based framework, making this approach very responsive. The proposed methodology is applied to a real-world construct that involves combining objects to complete an electronic commerce model: in particular the logistics objective.[[note]]SC

Object-Oriented Design Processes of Electronic Commerce in a Multi-Agent Environment

[[abstract]]Corporations are moving from traditional management into a world of agile and electronic business. Such businesses have continually sought to develop information technology (IT) systems, in order to assist in the decision-making of the business process. Due to rapid changes in the business environment this process is subject to ongoing examination. To ensure the agility of electronic commerce, business design process problems must be addressed by a team of specialists or intelligent agents, and be based on object-oriented design, characterized by computability, reusability, and exchangeability. This paper proposes a multi-agent system encompassing an object-oriented approach, to design processes for electronic commerce. This approach entails solutions to design processes, for decision-makers who are geographically separated and operate on differing computer platforms. By combining various objects, different types of design processes can be solved with the same agent-based framework, making this approach very responsive. The proposed methodology is applied to a real-world construct that involves combining objects to complete an electronic commerce model: in particular the logistics objective