Ontoloji tabanlı çok-etmenli sanal fabrika sisteminin tasarımı ve geliştirilmesi.

Major developments in computers and information technologies, enable industrial and mechanical engineers to establish new net based, virtual collaboration platforms for enterprises. Benefiting from virtual enterprise platform enterprises will be able to combine their resources and capabilities on project based collaborations meanwhile protect their independent mainstream policies and secure their secret information. This concept is called virtual enterprise(VE). Virtual Enterprise (VE) is a collaboration model between multiple business partners in a value chain. The VE model is particularly feasible and appropriate for Small and Medium Enterprises (SME) and industry parks containing multiple SMEs that have different vertical competencies. One of the main targets of this research is to create an Ontology based Multi Agent Virtual Enterprise (OMAVE) System to prepare an appropriate platform for collaboration between technology start-ups in techno-parks and SMEs in Organized Industrial Zones in order to produce high value added high-tech products. OMAVE aims to help SMEs to shift from classic trend of manufacturing part pieces towards high-tech, innovative and research based products. In this way and to reach this goal a new semantic data infrastructure to enhance Re-Configurability and Flexibility of virtual enterprise systems has been developed. In order to support flexibility in Virtual Enterprise business processes and enhance its integration to enterprises' available manufacturing systems (e.g. MRP) an ontology based domain model of VE system has been established. OWL DL semantic data structure of VE by defining concepts, axioms, rules and functions in VE system has been developed. TDB data store to keep VE data and information in form of triples developed. SPARQL semantic RDF query language is used to handle and manipulate data on developed system data store. This architecture supports structure flexibility for developed VE infrastructure and improve reusability of data and knowledge in VE life cycle. To establish a multi agent based partner selection platform different agent types have been developed. These agents collaborate and compete with each other to select the most appropriate partner for the forthcoming VE project consortium. The agent based auctioning platform is coupled with a Fuzzy-AHP-TOPSIS multi criteria decision making algorithm to evaluate incoming bids from agents and rank proposals in each iteration. It is also important to notice that here, agents interaction's semantic is provided by an agent ontology. This agent ontology provides concepts, properties and all message formats for agents to settle a common language in interactions between agents. Implementing concurrent engineering, collaborative design and Product Life Cycle Management (PLM) concepts by integrating Dassault systems web based CATIA/ENOVIA V6 design and PLM tools to OMAVE system. To test and verify these achievements a case study to produce a test product by using developed OMAVE tools is established. This test product manufactured by contributions of SMEs from OSTIM organized Industrial Zone Aviation and Defense Cluster.Ph.D. - Doctoral Progra

Multi Site Coordination using a Multi-Agent System

A new approach of coordination of decisions in a multi site system is proposed. It is based this approach on a multi-agent concept and on the principle of distributed network of enterprises. For this purpose, each enterprise is defined as autonomous and performs simultaneously at the local and global levels. The basic component of our approach is a so-called Virtual Enterprise Node (VEN), where the enterprise network is represented as a set of tiers (like in a product breakdown structure). Within the network, each partner constitutes a VEN, which is in contact with several customers and suppliers. Exchanges between the VENs ensure the autonomy of decision, and guarantiee the consistency of information and material flows. Only two complementary VEN agents are necessary: one for external interactions, the Negotiator Agent (NA) and one for the planning of internal decisions, the Planner Agent (PA). If supply problems occur in the network, two other agents are defined: the Tier Negotiator Agent (TNA) working at the tier level only and the Supply Chain Mediator Agent (SCMA) working at the level of the enterprise network. These two agents are only active when the perturbation occurs. Otherwise, the VENs process the flow of information alone. With this new approach, managing enterprise network becomes much more transparent and looks like managing a simple enterprise in the network. The use of a Multi-Agent System (MAS) allows physical distribution of the decisional system, and procures a heterarchical organization structure with a decentralized control that guaranties the autonomy of each entity and the flexibility of the network

MAS platforms as an enabler of enterprise mobilisation: The state of the art

One of the main application areas for multi-agent systems technology is enterprise mobilization, wherein the main business process actors are nomadic workers. An agent's autonomy, sociality and intelligence are highly prized features when it comes to supporting those mobile workers who are geographically isolated from the main knowledge source (i.e. the corporate Intranet) and are frequently moving from one location to another. Based on experience gained from two field trials of applications (built using for multi-agent systems technology and running on lightweight handheld devices) that support mobile business processes for telecommunications service provisioning and maintenance, this paper proposes desirable metrics for any multi-agent systems platform intended for enterprise mobilisation use. These metrics are then used to compare a number of existing multi-agent systems platforms, and based on the results, this paper identifies some areas for improvement