The Application of Concurrent Fuzzy Prolog in the Field of Modeling Flexible Manufacturing Systems

نویسنده

  • C. Geiger
چکیده

In this paper we present the application of Concurrent Fuzzy Prolog (ConFuP) 10, 9] in the eld of modeling exible manufacturing systems. ConFuP ooers the feasibility of concurrent process modeling through a set of descriptive rules based on uncertain or qualitative knowledge and enables the user to model hierarchical descriptions from a physical point of view (e.g. machines, tools, etc.) as well as from a logical one, where processes and machine states are described. Time considerations, modeling of alternative decisions and concur-rency/synchronization are also supported by ConFuP. With fuzzy data types and operators (fuzzy sets, fuzziication, defuzziication) the formulation of diierent kinds of uncertainty is possible. System calls for diierent fuzzy operators, methods and strategies allow maximum exibility.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

MULTI-OBJECTIVE ROUTING AND SCHEDULING IN FLEXIBLE MANUFACTURING SYSTEMS UNDER UNCERTAINTY

The efficiency of transportation system management plays an important role in the planning and operation efficiency of flexible manufacturing systems. Automated Guided Vehicles (AGV) are part of diversified and advanced techniques in the field of material transportation which have many applications today and act as an intermediary between operating and storage equipment and are routed and contr...

متن کامل

Concurrent Object Based Modeling of Fuzzy Strategies

Rapid prototyping of complex systems and their control strategies is an important approach in system modeling, especially in early desing stages. Naturally, these systems can be seen as a network of concurrently running communicating objects. A practical application field are flexible manufacturing systems (FMS) used in computer integrated manufacturing (CIM). A FMS consists of concurrently wor...

متن کامل

Scheduling of flexible manufacturing systems using genetic algorithm: A heuristic approach

Scheduling of production in Flexible Manufacturing Systems (FMSs) has been extensively investigated over the past years and it continues to attract the interest of both academic researchers and practitioners. The generation of new and modified production schedules is becoming a necessity in today’s complex manufacturing environment. Genetic algorithms are used in this paper to obtain an initial...

متن کامل

Modeling of Weld Bead Geometry Using Adaptive Neuro-Fuzzy Inference System (ANFIS) in Additive Manufacturing

Additive Manufacturing describes the technologies that can produce a physical model out of a computer model with a layer-by-layer production process. Additive Manufacturing technologies, as compared to traditional manufacturing methods, have the high capability of manufacturing the complex components using minimum energy and minimum consumption. These technologies have brought about the possibi...

متن کامل

Monte Carlo Simulation to Compare Markovian and Neural Network Models for Reliability Assessment in Multiple AGV Manufacturing System

We compare two approaches for a Markovian model in flexible manufacturing systems (FMSs) using Monte Carlo simulation. The model which is a development of Fazlollahtabar and Saidi-Mehrabad (2013), considers two features of automated flexible manufacturing systems equipped with automated guided vehicle (AGV) namely, the reliability of machines and the reliability of AGVs in a multiple AGV jobsho...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 1994