Applied Mechanics and Materials Vols. 752-753

Abstract: Accurate surface modeling of washing liquid bottle is to get through RP technology. Point cloud data of washing liquid bottle is obtained by hand-held laser scanner and processed by Imageware software, 3D model is got by Pro/E. Rapid prototyping machine is used to print solid model. High precision model built by ABS is easily got without complex processes.

Abstract: Today companies don’t have time and resources availability to stop their production to evaluate new layout and strategies, unless the results are guaranteed. Developing or redesigning products, gathering them in a product family and creating product platforms can be expensive tasks that represent a meaningful outlay for companies if they don’t have the adequate tools in order to facilitate the work. Thus, it is important to define the most appropriate manufacturing system as well as the performance of the chain value and the equipment layout in order to achieve an optimal production with the best quality and the shortest times and production costs. Therefore, computational tools, validated by working strategies and philosophies as Lean Manufacturing (LM) and Product Lifecycle Management (PLM) become necessary. After the evaluation of products, the value chain and the layout, these tools allow the construction of models and simulations as dynamic Value Stream Map (dynamic VSM), to analyze the actual process functioning or future process plans and PLM software, to estimate production flows, equipment and human labor requirements without stopping the normal production activities and providing competitive advantages to the company.

Abstract: This research introduces KPS (Korea Production System), which is a type of manufacturing innovation methodology. The KPS has been developed by KPC (Korea Productivity Center), which is a special corporation with the objective of industrial productivity improvement. In this paper, we show theoretical validity of the KPS, in which there are 6 principles (People Involvement, Field Standardization, Continuous Innovation, Flexibility of Production, Commercialization of production Information) and thirty core activities based on the above 6 principles, and the KPS has a list of 140 assessment items for evaluations of the above core activities. In addition, we summarize some differentiations between the KPS and other manufacturing innovation methodologies. During the past three years, the KPS has been used in productivity innovation partnership program between major companies and SMEs (small and mediums-sized enterprises) in Korea. In this program, the KPS has been applied in production lines of various SMEs, which are almost cooperative firms of global and major companies such as Samsung elec., POSCO, LG elec. and so on. To show the effectiveness of the KPS, we introduce outcomes of some real implementation cases in the production lines of SMEs, finally.

Abstract: The objective of this research paper is to demonstrate the application of hybrid knowledge-based system, gauging absences of pre-requisites (GAP), and analytic hierarchy process (AHP) approaches for selecting the improvement programs for Collaborative Green Manufacturing Management (CGMM) system. In this research, a generic knowledge-based system is developed to measure the level of CGMM adoption in automotive manufacturers compared to the ideal system. Using the GAP and AHP tools, the key green manufacturing improvement programs can be prioritized and demonstrated with an illustrative example.

Abstract: Using Cured-in-Place-Pipes for sewer renovation has developed to a common and widely used trenchless technology for pipes and especially sewer rehabilitation in different countries in last 20 years. This process was accelerated with the standardization of the CIPP liners and also due to intensive quality assurance which is highly developed especially in Germany. The quality control and quality assurance is generally ruled according EN ISO 11296-4 which is not fully sufficient as our research has shown.

Abstract: Power quality is main issue because of the impact to electricity suppliers, equipments, manufacturers and user.To solve the power quality problem, an analysis of power quality disturbances is required to identify and rectify any failures on power system. Most of researchers apply fourier transform in power quality analysis, however the ability of fourier transform is limited to spectral information extraction that can be applied on stationary disturbances. Thus, time-frequency analysis is introduced for analyzing the power quality distubances because of the limitation of fourier transform. This paper presents the analysis of real power quality disturbances using S-transform. This time-frequency distribution (TFD) is presented to analyze power quality disturbances in time-frequency representation (TFR). From the TFR, parameters of the disturbances such as instantaneous of root mean square (RMS), fundamental RMS, total harmonic distortion (THD), total nonharmonic distortion (TnHD) and total waveform distortion (TWD) of the disturbances are estimated. The experimental of three phase voltage inverter and starting motor are conducted in laboratory to record the real power quality disturbances. The disturbances are recorded via data logger system which is mplemented using LabVIEW while the analysis is done using Matlab in offline condition. The results show that S-transform gives good performance in identifying, detecting and analyzing the real power quality disturbances, effectively.

Abstract: Manufacturing companies in high-wage countries are facing rising challenges in a global market. Increasing customer demands for a higher degree of individualization result in smaller lot sizes and higher variety of products. In addition, competitors from low-wage countries in Asia and Eastern Europe have significantly improved their technical capabilities, resulting in a more competitive environment. The tool making industry provides its customers with the means to achieve excellence in production due to its unique position in the value chain between product development and the serial production of parts. A tool making company’s ability to improve the efficiency of serial production and develop innovative product design is strongly dependent on its capability of integrating itself into the preceding and following customer processes. Over the last years, customer demands for global sourcing of tools have changed from low prices to the demands of extended tool operating life and high operational availability. European tool making companies have learned to take this development as a chance to differentiate themselves from global competitors and subsequently increase their range of services up- and downstream the value chain. As a result, new industrial product-service-systems (IPS²) for the European tool making industry need to be developed that address the demand of a higher degree of integration into the preceding and following customer processes. Within the German Government founded research project “Smart Tools”, an industrial product-service-system (IPS²) for the tool making industry has been developed based on a modular service-oriented cyber-physical system. Core element of the cyber-physical system is the smart tool – an injection molding tool equipped with state-of-the-art sensor technology to capture data on the condition of the tool during its operational use. Its intelligence derives from the condition based interpretation and data management of the collected process data which is also the basis for the design of customer specific services. Besides the successful integration of force and position sensors into the tool, experimental research has delivered important results on the application of solid borne sound sensors for online early detection of tool wear. An innovative concept for the distribution and interpretation of the process data incorporates the specific requirements of the customers. To cope with the demands of individual and small series production in the tool making industry, a modular sensor kit has been developed together with a diagnostic unit for data interpretation and storage of data in an electronic tool book. The developed modular service-oriented cyber-physical system delivers the means to extended tool operating life and improves the overall efficiency of serial production. Based on the results new business models can be developed for tool making companies to differentiate themselves from global competitors and overcome the challenges of production in high-wage countries.

Abstract: Sensitive data such as personal telephone number, address, social security number at database is prevented to access by SQL search query. In order to prevent security problems it needs to encrypt database. Order preserving encryption (OPE) is a method of encrypting data so that it's possible to make efficient inequality comparisons on the encrypted items without decrypting them. OPE data of database is available to make index without decryption. In this paper, the data preprocessor by reducing plaintext range, the performance of OPE is increased and sensitive data are protected at database.

Abstract: The purpose of this study was to develop a knowledge management system for basic hand tools and machinery using ontology technique for increasing information search efficiency and for practical use. Ontology technique was applied to help presenting the system in the form of semantic web using OWL and RAP languages that supported analyses in knowledge management process. The system was designed to meet users’ need. It was tested and evaluated by experts and users.The study showed that the system could help the users to efficiently use the right tools for the right jobs. According to the satisfaction evaluation, the experts and the users were very satisfied with the developed system. The satisfaction mean was 4.34 and the standard deviation was 0.54. This proved that the set hypothesis was true.

Abstract: The concept of the "On-site Factory" consists in the temporary use of fully functioning mobile mini-factories or production cells at the site of consumption. Mobile Factories are well suitable for situations in the construction industry with long distances and therefore high logistics costs. The advantage of this concept is its economic efficiency combined with a maximum of flexibility and a just-in-time supply. By a high degree of reconfigurability and scalability of the On-site Factory, it can be adapted to its individual mission and the quantity demand at the construction site. This research discusses the need for new and innovative JIT solutions for construction industry and addresses the specific case of networks of mobile on-site factories. The creation of a Mobile Factory Network (MFN) shows an interesting new and innovative business model for decentralized manufacturing on-site. The research shows a possible form of network structure and organization as well as its advantages and potential for the construction sector.