Copyright (c) 2009 All rights reserved. http://works.bepress.com/salpteki Recent documents in Sema E. Alptekin en-us Sun, 31 May 2009 11:42:47 PDT 3600 http://works.bepress.com/salpteki/25 http://works.bepress.com/salpteki/25 Tue, 25 Nov 2008 09:22:27 PST Proper integration of scheduling and control in Flexible Manufacturing Systems will make available the required level of decision-making capacity to provide a flexibly-automated, efficient, and quality manufacturing process. To achieve this level of integration, the developments in computer technology and sophisticated techniques of artificial intelligence (AI) should be applied to such FMS functions as scheduling. In this paper, we present an Intelligent Scheduling System for FMS under development that makes use of the integration of two AI technologies. These two AI technologies -- Neural Networks and Expert Systems -- provide the intelligence that the scheduling function requires in order to generate good schedules within the restrictions imposed by real-time problems. Because the system has the ability to plan ahead and learn, it has a higher probability of success than conventional approaches. The adaptive behavior that will be achieved contribute to the integration of scheduling and control in FMS. Luis Carlos Rabelo Articles http://works.bepress.com/salpteki/24 http://works.bepress.com/salpteki/24 Tue, 25 Nov 2008 09:22:22 PST Designing efficient and integrated manufacturing systems is the first step in attaining computer integrated enterprises (CIE). Integration of planning and implementation phases of manufacturing is essential for taking full advantage of the CIE. In order to design reliable and efficient manufacturing systems, the designers must consider the impacts of planning decisions made by computer aided production management (CAPM) modules on implementations held in manufacturing cells.This paper focuses on two issues. The first issue is importance and necessity of integrating CAPM modules with manufacturing cells. The second issue includes major features of the object-oriented approach and their relevance to our objective of modeling a design framework which focuses on integration of CAPM modules and simulation models which emulate the manufacturing cells in the CIE environment. Emine Persentili Articles http://works.bepress.com/salpteki/23 http://works.bepress.com/salpteki/23 Mon, 17 Nov 2008 08:34:50 PST In this paper, we describe various techniques used to make Intuitionistic Fuzzy Logic Systems amenable to operating on applications with large numbers of inputs. A rule reduction technique known as Combs method is combined with an automated tuning process based on Particle Swarm Optimization. A second stage of tuning on rule weights results in improved performance and further reduction in the size of the rule-base. The entire process has been developed to operate within the Matlab software environment. The technique is tested against the Wisconsin Breast Cancer Database. The use of these tools shows great promise in significantly expanding the range and complexity of problems that can be addressed using Atanassov's Intuitionistic Fuzzy Logic. Jon C. Ervin Conference Proceedings http://works.bepress.com/salpteki/22 http://works.bepress.com/salpteki/22 Mon, 17 Nov 2008 08:33:58 PST The transition from basic automation to flexible manufacturing is an expensive and tedious procedure. It requires meticulous planning and almost clairvoyant forecasting to insure that the initial flexibility obtained is sufficient to allow growth and expansion in the future. This paper will suggest a systematic and methodological approach to achieve optimal flexibility and describe the present results of its application to an ongoing system transformation.Conclusions based on existing levels of completion are presented along with identification of critical and non critical flexibility requirements. The considerations and steps taken are summarized in a procedural format which may then be applied to a wide variety of system transformations. Sema E. Alptekin Articles http://works.bepress.com/salpteki/21 http://works.bepress.com/salpteki/21 Mon, 17 Nov 2008 08:33:38 PST Artificial neural networks with such characteristics as learning, graceful degradation, and speed inherent to parallel distributed architectures might provide a flexible and cost solution to the real time control of robotics systems. In this investigation artificial neural networks are presented for the coordinate transformation mapping of a two-axis robot modeled with Fischertechnik physical modeling components. The results indicate that artificial neural systems could be utilized for practical situations and that extended research in these neural structures could provide adaptive architectures for dynamic robotics control. Stephen Aylor Articles http://works.bepress.com/salpteki/20 http://works.bepress.com/salpteki/20 Wed, 24 Sep 2008 08:46:05 PDT The paper describes the design for manufacturability of a prototype product as part of a manufacturing engineering capstone course. The product chosen was a vertically launched unmanned aerial vehicle (UAV)--the "Flying Eye." The Flying Eye is an autonomous parafoil surveillance platform quipped with sensors, controllers, mechanical components, and software. Once the autonomous UAV is deployed, it is designed to follow a predetermined flight path down to the ground. The design effort of the prototype device took place over a three-year period as a collaborative effort between the Aerospace Engineering and Industrial and Manufacturing Engineering departments at California Polytechnic State University. This project proved to be an excellent tool for the "project-based learning environment," which is the focus of Cal Poly's hands-on engineering programs. Details of the Flying Eye project and lessons learned during the course of this educational experience are provided. Sema E. Alptekin Articles http://works.bepress.com/salpteki/16 http://works.bepress.com/salpteki/16 Tue, 12 Aug 2008 10:02:42 PDT Abstract published of poster paper presented at conference. Wade Stark Conference Proceedings http://works.bepress.com/salpteki/15 http://works.bepress.com/salpteki/15 Tue, 12 Aug 2008 10:02:38 PDT Academia must develop a new approach to teaching in order to better prepare engineering students to function efficiently and adjust readily within the framework of the factories in the real world. Some engineering programs emphasize theory, while others emphasize application as isolated blocks. The "Teaching Factory" being developed at Cal Poly combines both theory and applications. It makes use of state-of-the-art industrial grade production equipment, computer hardware and software in the form of the following two systems: 1) a functioning "real" factory hardware environment, and 2) a Production Planning and Control Center. Sema E. Alptekin Conference Proceedings http://works.bepress.com/salpteki/14 http://works.bepress.com/salpteki/14 Tue, 12 Aug 2008 10:02:30 PDT This paper evaluates the tardiness performance of a sampling-based adaptive heuristic in a dynamic manufacturing environment. A test bed, following a real world manufacturing system, has been developed. The proposed algorithm has been implemented in this simulated environment. After fine tuning the algorithm, it has been tested in various shop conditions. The results of these simulation studies are summarized. Ali S. Kiran Articles http://works.bepress.com/salpteki/17 http://works.bepress.com/salpteki/17 Tue, 12 Aug 2008 10:02:00 PDT The manufacturing systems capable of producing several products simultaneously are frequently subject to changes in product types due to demand fluctuations. In such systems a product flexible manufacturing planning and control (MPC) strategy is needed to change from one product type to another with minimum deterioration to system performance levels. The objective of this research is to develop a systematic analysis and evaluation approach in order to compare the MRP-push and JIT-pull strategies quantitatively based on a product flexibility measure. A new product flexibility measure is developed based on the sensitivity to change concept and presented together with the implementation in a real manufacturing system. Simulation is used to compare the performance of a JIT-pull with an MRP-push strategy based on performance measures, e.g. manufacturing lead time, work-in-process inventory, backorders, machine utilization and throughput. The performances of the two strategies are evaluated in two scenarios: (i) a single product; (ii) a second product is added (the first product being simple and the second being complex in terms of processing). The impacts of adding the second product on the performance measures for the push and pull strategies are then assessed. A multi-attribute evaluation scheme is used to compare the two strategies where the attribute values are the change in performance measures as the second product is added. The proposed product flexibility measure is utilized in the interpretation of the results. Emine Persentili Articles