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Stanley Gershwin. Li, Chengguang, M. Eng. Massachusetts Institute of Technology Massachusetts Institute of Technology. Dept. of Mechanical Engineering. Massachusetts Institute of Technology. Department of Mechanical Engineering 2008-09-03T15:20:32Z 2008-09-03T15:20:32Z 2007 2007 http://hdl.handle.net/1721.1/42324 232665259 Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2007. Includes bibliographical references. The CSC department of IBM Singapore has been established two years ago. It provides a variety of hardware and software services for its customers. Due to the complex mix of products and the different ways of completing the tasks at each section of the factory, it is difficult to estimate the resources needed to complete a set of similar jobs. It is also difficult to put the resources at the right place at the right time and not create under or overcapacity. A quick way of estimating and allocating resources (qualification) is necessary to predict the cost that will incur for a certain job. This is useful during the negotiation process for a new contract and improves decision making of management. Resource allocation allows smooth workflow within the sections of the factory. This can increase factory capacity. This thesis shows the mistakes made by management during former resource estimation and allocation. It shows the step-by-step examination of the factory operations and the model derived through quantitative and qualitative analysis. It demonstrates the new resource estimation and allocation process and provides thoughts on future areas of development. by Chengguang Li. M.Eng. 59 p. eng Massachusetts Institute of Technology M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 Mechanical Engineering. Qualification of the IBM CSC factory in Singapore : resource estimation and allocation in software and hardware services Thesis application/pdf false Publication unknown unknown <Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="d56397fe-175e-4f88-a02d-cc9017d71d90"> <Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type> <Language>eng</Language> <Title>Qualification of the IBM CSC factory in Singapore : resource estimation and allocation in software and hardware services</Title> <PublishedIn> <Publication> </Publication> </PublishedIn> <PublicationDate>2007</PublicationDate> <Authors> <Author> <DisplayName>Li, Chengguang, M. Eng. Massachusetts Institute of Technology</DisplayName> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> </Authors> <Editors> </Editors> <Publishers> <Publisher> <DisplayName>Massachusetts Institute of Technology</DisplayName> <OrgUnit /> </Publisher> </Publishers> <License>http://dspace.mit.edu/handle/1721.1/7582</License> <Keyword>Mechanical Engineering.</Keyword> <Abstract>The CSC department of IBM Singapore has been established two years ago. It provides a variety of hardware and software services for its customers. Due to the complex mix of products and the different ways of completing the tasks at each section of the factory, it is difficult to estimate the resources needed to complete a set of similar jobs. It is also difficult to put the resources at the right place at the right time and not create under or overcapacity. A quick way of estimating and allocating resources (qualification) is necessary to predict the cost that will incur for a certain job. This is useful during the negotiation process for a new contract and improves decision making of management. Resource allocation allows smooth workflow within the sections of the factory. This can increase factory capacity. This thesis shows the mistakes made by management during former resource estimation and allocation. It shows the step-by-step examination of the factory operations and the model derived through quantitative and qualitative analysis. It demonstrates the new resource estimation and allocation process and provides thoughts on future areas of development.</Abstract> <Access xmlns="http://purl.org/coar/access_right" > </Access> </Publication>