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dc.contributor.advisorSteven D. Eppinger and Fred Moavenzadeh.en_US
dc.contributor.authorRaghunathan, Krishnanen_US
dc.contributor.otherLeaders for Manufacturing Program.en_US
dc.date.accessioned2007-04-20T15:55:28Z
dc.date.available2007-04-20T15:55:28Z
dc.date.copyright2006en_US
dc.date.issued2006en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/37239
dc.descriptionThesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; and, (S.M.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering; in conjunction with the Leaders for Manufacturing Program at MIT, 2006.en_US
dc.descriptionIncludes bibliographical references (p. 82).en_US
dc.description.abstractProductivity improvements in manufacturing facilities have been studied in detail and there are many standardized tools and frameworks readily available to the industry for implementation. However the concept of productivity improvement in large engineering projects that involve high white-collar job content is less clearly understood. While lean concepts like value streams or continuous improvement apply to this environment there are no ready tools available for implementing a lean improvement initiative. This thesis applies lean and concurrent engineering concepts to large scale engineering design and development projects. ABB Lummus, the sponsor company for the internship behind this thesis, is in the business of executing such large-scale projects. Lummus is an EPC contractor providing engineering, procurement and construction (EPC) services for building manufacturing plants. EPC projects run for few years and involve coordination of efforts by hundreds of engineering staff. There are inherently many productivity and information flow issues in such projects. EPC industry in general has been facing significant operational efficiency difficulties leading to cost and schedule overruns in recent years.en_US
dc.description.abstract(cont.) The main issue was identified as rework due to the fact that the existing project structures do not deal with concurrent engineering nature of the projects. In this thesis we leverage the concepts a combination of lean value streams, Design Structure Matrix (DSM) and Theory of Constraints (TOC) to propose a value streams based organization for EPC projects. We show how this approach addresses the common problem in the EPC projects and sets the stage for improving productivity. The discussion in this thesis has helped launch an initiative that has enabled the acceptance of value streams and DSM techniques at ABB Lummus. Currently a dedicated program is planning a large (> 1 Bn Euro) EPC project along the line of value streams. The following are the key contributions in this thesis: From first principles we define a way to decompose an EPC downstream project into nine value streams. We use DSM to analyze a key value stream in detail and show the need for a value-stream-based organization. Using value streams and DSM we enable the implementation of TOC planning in EPC projects and show how these tools complement each other.en_US
dc.description.statementofresponsibilityby Krishnan Raghunathan.en_US
dc.format.extent82 p.en_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.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.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582
dc.subjectSloan School of Management.en_US
dc.subjectCivil and Environmental Engineering.en_US
dc.subjectLeaders for Manufacturing Program.en_US
dc.titleProductivity improvement in downstream EPC projects using value streams based organizationen_US
dc.typeThesisen_US
dc.description.degreeS.M.en_US
dc.description.degreeM.B.A.en_US
dc.contributor.departmentLeaders for Manufacturing Program at MITen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Civil and Environmental Engineering
dc.contributor.departmentSloan School of Management
dc.identifier.oclc85824116en_US


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