http://20.198.91.3:8080/jspui/handle/123456789/7678 2026-04-05T19:56:38Z http://20.198.91.3:8080/jspui/handle/123456789/1945 Title: Shape & size-tuned magnetic nanostructures and ferrofluids for biomedical and industrial applications Authors: Srividhya, J. 2017-01-01T00:00:00Z http://20.198.91.3:8080/jspui/handle/123456789/1944 Title: Performance improvement of an automobile industry using supply and demand chain management Authors: K. Balakannan Abstract: ABSTRACT In this era of globalization and fluctuating markets, supply chain management has gained more significance among the corporate. Supply chain management is an important activity in manufacturing which influences product life cycles, price levels, delivery schedule, customer satisfaction, inventory etc., Supply chain management integrates all key business activities through improved relationship at all levels of supply chain. In the present scheme of things, in a manufacturing industry inventory is pitched as one of the predominant resources that require to be handled effectively. The aim of the first section of the research was to develop a mixed- integer linear programming model to configure the closed loop supply chain (CLSC) network that could be optimized for maximizing the profit by determining the fixed order quantity inventory policy in various sites at multiple periods. In onward supply chain, a standard inventory policy could be followed when the product moves from manufacturer to end user, but it is very difficult to manage the inventory in the reverse supply chain of the product with the same standard policy. The proposed model examines the standard policy of fixed order quantity by considering three major types of return-recovery pair such as, commercial returns, end-of-use returns, end-of-life returns and their inventory positioning at multiple periods. Raw material supplier, manufacturer, distributer, retailer, customers and for major returnscollection sites like repair site, disassembly site, recycling site and disposal site were included in the network to develop this CLSC network model. The objective of this section was to maximize the profit through CLSC by determining the optimal inventory of product and part mix during multiple periods. The proposed model to configure the CLSC network was solved by using IBM ILOG CPLEX OPL studio and the results of the model were analysed with numerical investigations followed by sensitivity analysis. In universal spirited environment, automotive industries are desired to perform efficiently to meet the maximum percentage of demand by minimum cost. The objective of the second section of the research section was to create a balance scorecard model for the evaluation of reliability and performance of automotive manufacturing industries to evaluate their supply and demand chain system. Using this new idea, the performance of industries could be assessed regarding their supply and demand chain system with the major four criteria like design and development, manufacturing point, financial requirement and consumer’s point of view. The main four features of the industries are policies and firm coordination, design and execution, effectiveness of shipment and information technology usage totally covered by the new designed balanced scorecard with twenty five evaluation points. A broad survey was carried out in Indian automotive manufacturing industries with well structured questionnaires to collect the necessary data. The comparison between multinational, public limited, private limited and small scale organizations were carried out to measure the performance variation of their supply and demand chain system. Based on the correlation of the above four features, a structural equation model was designed to improve the supply and demand chain management system for automotive manufacturing industries and found that the ‘α’ coefficient was above 0.80, hence, the balanced score card was taken as reliable. The third section of the research was to study the application of Fuzzy AHP method for evaluating Green supply chain management strategies for automobile manufacturing company. The strategies were calculated by the model of Fuzzy AHP, the main attributes, sub attributes and measurement indicators were defined based on the automobile manufacturing process. The fourth section of the study deals with the selection of suppliers. Traditionally in Supply chain management, the key focus and scope has been on managing the flow of materials and goods from suppliers through manufacturing and distribution chain to the customer. The idea of demand chain management is based on the principle of using demand instead of supply as the factor integrating the information needs in the supply chain. The key in demand chain management is the continuous flow of the demand information from customers and end users through distribution and manufacturing to suppliers. The shared objective of the chain is fulfilling of customer demand. The most important controlling inputs are rolling forecasts and plans, point-of-sales data, daily orders, management decisions and performance feedback. The final section of the research was on the green supply chain management which is the basic tool for integration of raw materials procurement, production handling and material distribution. The added benefits of this process is effective management capacity, accuracy in demand forecasting and enhanced delivery performance by making the supply chain more sustainable and effective. The organizations should adopt ecological balance, eco-friendly strategies for the establishment of harmonic supply chain management. Already various investigations have been done and theoretical and empirical models developed in the field of supply chain management. The results of the study revealed that "green manufacturing” share to be the most worthwhile attribute in the present Green supply chain management strategy. The overall objective of this research on the supply and demand chain performance parameters has been made with a view on green manufacturing in an automobile industry. From the convincing studies conducted, the results were evaluated and various suggestions were presented for improvement. 2017-01-01T00:00:00Z http://20.198.91.3:8080/jspui/handle/123456789/1943 Title: On demand service provisioning on Peer-to-Peer networks Authors: Mistry, Sujoy Abstract: Abstract The demand for distributed applications has been increasing since the birth of internet. It has scaled geographical areas in search of information and computational resources for processing. The recent developments in areas like the grid, cloud and utility computing have enabled researchers in need of compute power to utilize resources from a globally shared pool. The emergence of Service Oriented Architectures and Web Services has contributed to the development of several platforms for grid/cloud computing which offer a new way to create loosely-coupled dynamic distributed systems. Thus introduction of Virtual Organizations has added an impetus towards distributed applications by providing on-demand service provisioning. The use of job-based paradigms and strong coupling of current service-based paradigms with static registries such as UDDI hinder the achievement of complete dynamism over volatile resources of the distributed frameworks. A possible solution is the use of structured peer to peer overlay networks, which has emerged as a means of sharing data and computing power where the nodes act as peers of each other to keep a check on the resources as well as handle the volatility of the system. In this thesis, the architecture of a demand-driven web service deployment framework is presented which allows sharing of data and computing capacity using p2p technology as its backbone. Thus the use of dynamic peer-to-peer (p2p) techniques within a web service based framework introduce the ability of the network to adapt to resource volatility which has been already established in p2p-based content-delivery models. Consideration of a service as well as user speci cation of resources for provisioning consumer requests increases performance of the entire architecture. The proposed framework also incorporates a proper load balancing approach between the servers, thereby increasing the utilization of resources in the networks. One of the main focus of this architecture is decentralization of the registry. The distributed registry in the proposed architecture has been implemented in such a way that it makes service discoverable form any part of the network, increases the service availability, and provides a better platform for handling the scalability of the framework. The use p2p le sharing techniques within this framework reduces the overhead of fetching the deployable code from the service repository and sharing it among the deployed instances to carry out successive deployments. Thus, this thesis focuses on various issues such as resource availability, scalability and abstraction. Demand-driven resource allocation is based on request parameters and availability of the resources to create the basis for a fully dynamic virtual market place of computational resources. 2017-01-01T00:00:00Z http://20.198.91.3:8080/jspui/handle/123456789/1677 Title: Integrated cost-effective model for augmenting sustainable water supply through surface and groundwater interaction in hydrological and hydro-geologically critical areas of West Bengal Authors: Banerjee, Gourab 2017-01-01T00:00:00Z