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

A Novel Partner Selection Method in Virtual Enterprise Based on the Ontology and SOA and AHPmodel

Partner selection is a key problem in virtual enterprise. This paper researches on selecting the dynamic, Competitive and compatible partners, which is the key link in the establishment of virtual enterprise. this paper presented a method have two main steps , first step is detecting candidate partner using semantic concept and second step is selecting proper partner using competency and quality of service in AHP method . The advantage of this method scrutiny of partner selection problem , and partner selection in this method occur dynamic and automation

An agent-based negotiation model to support partner selection in a virtual enterprise

Session - MP-Fd Supply Chain Management & Logistics 4: cie182hk-1Conference Theme: Soft Computing Techniques for Advanced Manufacturing and Service SystemsIn response to the global business competitive environment, it is common for several companies to participate in a virtual enterprise (VE) to cooperate and collaborate dynamically to complete a common business opportunity. This paper proposes an agent-based negotiation model to support the partner selection process in a VE. To begin with, the VE partner selection problem is abstracted as a buyer-seller relationship such that the VE initiator is the buyer and the VE partners are sellers or vice verse. In the multi-agent system (MAS) that supports the proposed negotiation model, autonomous agents are established to represent various parties and functions of the VE. For instance, a buyer agent represents the VE initiator and the potential partners are represented by seller agents. Thus, the VE partner evaluation and selection problem is the process of finding the partners that are able to provide the buyer with the right quality products and services at the right price and at the right time. Evaluation and selection of partners is a typical multiattribute decision making (MADM) problem involving various issues that can both be qualitative and quantitative.published_or_final_versionThe 40th International Conference on Computers & Industrial Engineering (CIE40), Awaji City, Japan, 25-28 July 2010. In Proceedings of the International Conference on Computers and Industrial Engineering, 2010, p. 1-

A contribution for the development of new resources selection models for the agile/virtual enterprises

The process of resources systems selection, takes an important part in Agile / Virtual Enterprises (A/V E) integration because the efficient resources selection, or resources systems selection, running in useful time and cost and with efficient solution, is an important operation within the A/V E design phase and certainly will contribute for the flexibility of an A/V E within the phase of its reconfiguration. The resources systems selection is a difficult matter to solve in A/V E because: it can be of exponential complexity resolution; it can be a multi criteria problem; and because there are different types of A/V Es with different requirements that have originate the creation of a specific resources selection model for each one of them. This kind of selection approach models will be reviewed from literature and analyzed its limitations and the consequent necessities of development new ones. At the first time we identified necessities that never were thought before, like performance measures for the selection model, and the necessities of identifying the sponsor for the selection process. We will see too that the models fit uniquely the requirements of a unique A/V E are rigid and not flexible enough to satisfy the requirements of another A/V E. These limitations that we highlight in this work are important to be considered in the development of new models and were simultaneously considered in the development of our selection model for the project of the BM_Virtual Enterprise.info:eu-repo/semantics/publishedVersio

An Evolutionary Based Algorithm for Resources System Selection Problem in Agile/Virtual Enterprises

The problem of resources systems selection takes an important role in Agile/Virtual Enterprises (A/VE) integration. However, the resources systems selection problem is difficult to solve in A/VE because: it can be of exponential complexity resolution; it can be a multi criteria problem; and because there are different types of A/V Es with different requisites that have originated the development of a specific resources selection model for each one of them. In this work we have made some progress in order to identify the principal gaps to be solved. This paper will show one of those gaps in the algorithms area to be applied for its resolution. In attention to that gaps we address the necessity to develop new algorithms and with more information disposal, for its selection by the Broker. In this paper we propose a genetic algorithm to deal with a specific case of resources system selection problem when the space solution dimension is high.info:eu-repo/semantics/publishedVersio

Tools for enterprises collaboration in virtual enterprises

Virtual Enterprise (VE) is an organizational collaboration concept which provides a competitive edge in the globalized business environment. The life cycle of a VE consists of four stages i.e. opportunity identification (Pre-Creation), partner selection (Creation), operation and dissolution. The success of VEs depends upon the efficient execution of their VE-lifecycles along with knowledge enhancement for the partner enterprises to facilitate the future formation of efficient VEs. This research aims to study the different issues which occur in the VE lifecycle and provides a platform for the formation of high performance enterprises and VEs. In the pre-creation stage, enterprises look for suitable partners to create their VE and to exploit a market opportunity. This phase requires explicit and implicit information extraction from enterprise data bases (ECOS-ontology) for the identification of suitable partners. A description logic (DL) based query system is developed to extract explicit and implicit information and to identify potential partners for the creation of the VE. In the creation phase, the identified partners are analysed using different risks paradigms and a cooperative game theoretic approach is used to develop a revenue sharing mechanism based on enterprises inputs and risk minimization for optimal partner selection. In the operation phases, interoperability remains a key issue for seamless transfer of knowledge information and data. DL-based ontology mapping is applied in this research to provide interoperability in the VE between enterprises with different domains of expertise. In the dissolution stage, knowledge acquired in the VE lifecycle needs to be disseminated among the enterprises to enhance their competitiveness. A DL-based ontology merging approach is provided to accommodate new knowledge with existing data bases with logical consistency. Finally, the proposed methodologies are validated using the case study. The results obtained in the case study illustrate the applicability and effectiveness of proposed methodologies in each stage of the VE life cycle

Integration of BPM systems

New technologies have emerged to support the global economy where for instance suppliers, manufactures and retailers are working together in order to minimise the cost and maximise efficiency. One of the technologies that has become a buzz word for many businesses is business process management or BPM. A business process comprises activities and tasks, the resources required to perform each task, and the business rules linking these activities and tasks. The tasks may be performed by human and/or machine actors. Workflow provides a way of describing the order of execution and the dependent relationships between the constituting activities of short or long running processes. Workflow allows businesses to capture not only the information but also the processes that transform the information - the process asset (Koulopoulos, T. M., 1995). Applications which involve automated, human-centric and collaborative processes across organisations are inherently different from one organisation to another. Even within the same organisation but over time, applications are adapted as ongoing change to the business processes is seen as the norm in today’s dynamic business environment. The major difference lies in the specifics of business processes which are changing rapidly in order to match the way in which businesses operate. In this chapter we introduce and discuss Business Process Management (BPM) with a focus on the integration of heterogeneous BPM systems across multiple organisations. We identify the problems and the main challenges not only with regards to technologies but also in the social and cultural context. We also discuss the issues that have arisen in our bid to find the solutions