Many production facilities generate and update production schedules on shop floor for manufacturing. Rescheduling is necessary because the manufacturing system is dynamic and unexpected events occur. This research paper discusses Enterprise Resource Planning in Supply Chain Management policies and how they affect the performance of manufacturing systems. The benefits of proper Enterprise Resource Planning in Supply Chain Management include improved manufacturing system performance with reduced cost due to computational effort human or computer and disruptions to existing plans (nervousness). The paper summarizes previous work in this area and also discusses how it requires methods to solve production problems on shop floor. The goal is to help production planners, engineers, and researchers understand the importance of Enterprise Resource Planning in Supply Chain Management and the proper role of production in dynamic manufacturing systems. Enhanced competitiveness requires that companies ceaselessly integrate within a network of organizations. Firms ignoring this challenge are destined to fall behind their rivals. This integration of companies within a network has led to put more emphasis on Enterprise Resource Planning in Supply Chain Management. The main finding is that the panel experts saw only a modest role for ERP in improving future supply chain effectiveness and clear risk it actually limiting progress in SCM. ERP was seen as offering a positive contribution to future supply chain issues: 1.More customization of products and services, 2.More standardized processes and information, 3. The need for worldwide IT systems, and 4.Greater transparency of the market palace. Implications for research and management practice are discussed.
Keywords: - Manufacturing system, Enterprise resource planning, Integrated ERP in SCM model, Supply Chain Management and role of ERP and case study.
Typical meteorological year (TMY) is often used in the solar thermal field. Several methods to generate TMYs have been developed. However, results vary depending on the method used, which has a direct effect on the design of solar thermal systems. Because of this, it is necessary to establish a methodology for determining the TMY to be used. In this study were compared, five methods to generate TMYs with different weighting factors. TMYs were generated with weather data of a 15-year period (1998-2012) for Chillán, Chile (latitude 36.6° south). A solar thermal hot water system was evaluated in TRNSYS, using all TMYs generated. It was calculated Solar factor (SF), namely the fraction of solar energy used by the system throughout the year, for each TMYs and the years of data. Mean and median were then calculated for each month to all years. These values were compared to values obtained of SF from the TMYs. The TMY that presented the lowest difference in the 12 months with respect to those values was determined as the most representative. The selected TMY was generated by using ASRHAE based on dew point temperatures, and it is recommended for future studies for Chillán.
Keywords: - MATLAB, Meteorological variables, Thermal engineering, TRNSYS, Typical meteorological year.
Wireless Networks are increasingly used in different types of data-intensive applications scenarios such as micro-weather monitoring, meticulousness agriculture, and audio/video observation. The sensor nodes are minute and limited in power. Sensor types vary according to the application of WN. Whatever be the application the key challenge is to broadcast all the data generated within an application's life span to the base station in the face of the fact that sensor nodes have limited power supplies. The concept of mobile communication is that the mobile nodes change their locations so as to minimize the total energy consumed by both wireless transmission and locomotion. The predictable methods, however, do not take into account the energy level, and as a result they do not always extend the network lifetime.
Keywords: Data-intensive; Energy; communication; routing tree; WN
The aim of this work is to design an automatic voltage regulation system by selection of FOPID parameters. In this work the advantage of FOPID controller over Conventional PID controller is discussed using MATLAB/Simulink. PID (proportional-integral-derivative) control is one of the earlier control strategies. Its early implementation was in pneumatic devices, followed by vacuum and solid state analog electronics, before arriving at today‟s digital implementation of microprocessors. But in the last decade, fractional-order dynamic systems and controllers has been studying widely in many areas of engineering and science. The concept of the fractional-order PID controllers was proposed by Podlubny in 1997[1]. He also demonstrated the better response of this type of controllers, in comparison with the classical PID controllers, when used for the control of fractional-order systems. A method is presented based on idea of the Ziegler–Nichols and Cohen Coon for the tuning of PID controller. Motivated from the fact that the optimization techniques depend on initial estimates, Valerio and Costa have introduced some Ziegler-Nichols-type tuning rules for FOPIDs.
Keywords: FOPID controller, PID Controller, Ziegler Nichols and Cohen – Coon tuning
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