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Title: Application of product family design for engineered systems in changing market space
Author (s): Goswami, Mohit, 1982-
Advisor(s): Allada, Venkata
Department/Lab Affiliations: Space Systems Engineering
Sustainable Design Laboratory
Issue Date: 2008
Publisher: Missouri University of Science and Technology
Citation: Goswami, Mohit. "Application of Product Family Design for Engineered Systems in Changing Market Space." Master's Thesis, Engineering Management, Missouri University of Science & Technology, 2008.
Abstract: "The focus of this paper is on the design of an engineered system for a changing market space. Due to the dynamic nature of the customer requirements, the specification of product offerings in a particular market may change. Manufacturers need to strategically design their product portfolio in such a way that their profitability is maximized, while deploying the right number of platforms necessary for deriving product variants. Depending on the system architecture, subsystems can be classified into one of the two types: scalar subsystems and modular subsystems. Each subsystem is defined by various parameters, performance criteria, and physical compatibility constraints. The market demand is modeled as a function of selling price and performance criteria. The objective function is formulated as maximization of total profitability for the current and future markets while meeting the required performance criteria. The profitability of an individual unit is the difference between the selling price and cost of that particular unit. The selling price has been expressed as a linear function of system characteristic and performance parameters. The cost of an individual system is the sum of the cost of all the subsystems involved. The cost of an individual subsystem is a function of parameters of that particular subsystem. Further, different types of technology are considered available at different time periods that impacts the switchover cost. The total profitability is further reduced by the platform development cost of the variants. The complete engineered system level problem is formulated as a non-linear programming optimization problem and solved using the non-linear generalized reduced gradient algorithm. The application of the proposed methodology is demonstrated using a case example of an automotive truck family"--Abstract, p. iv.
Type: Thesis/Dissertation
text
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titleApplication of product family design for engineered systems in changing market space
contributor.advisorAllada, Venkata
contributor.authorGoswami, Mohit, 1982-
contributor.deptlabSpace Systems Engineering
contributor.deptlabSustainable Design Laboratory
contributor.sponsorNational Science Foundation
subject.LCSHEngineering systems -- Evaluation.
subject.LCSHManufactures -- Decision making.
subject.LCSHNetwork analysis (Planning)
subject.LCSHProduct management.
date.issued2008
publisherMissouri University of Science and Technology
identifier.URI
http://scholarsmine.mst.edu/thesis/pdf/Goswami_09007dcc804feafa.pdf
identifier.citationGoswami, Mohit. "Application of Product Family Design for Engineered Systems in Changing Market Space." Master's Thesis, Engineering Management, Missouri University of Science & Technology, 2008.
identifier.oclc232271046
descriptionIncludes bibliographical references (p. 33-35).
descriptionMode of access: World Wide Web.
descriptionSystem requirements: Adobe Acrobat Reader; Internet browser.
descriptionThe entire thesis text is included in file.
descriptionThesis (M.S.)--Missouri University of Science and Technology, 2008.
descriptionTitle from title screen of thesis/dissertation PDF file (viewed May 19, 2008)
descriptionVita.
description.abstract"The focus of this paper is on the design of an engineered system for a changing market space. Due to the dynamic nature of the customer requirements, the specification of product offerings in a particular market may change. Manufacturers need to strategically design their product portfolio in such a way that their profitability is maximized, while deploying the right number of platforms necessary for deriving product variants. Depending on the system architecture, subsystems can be classified into one of the two types: scalar subsystems and modular subsystems. Each subsystem is defined by various parameters, performance criteria, and physical compatibility constraints. The market demand is modeled as a function of selling price and performance criteria. The objective function is formulated as maximization of total profitability for the current and future markets while meeting the required performance criteria. The profitability of an individual unit is the difference between the selling price and cost of that particular unit. The selling price has been expressed as a linear function of system characteristic and performance parameters. The cost of an individual system is the sum of the cost of all the subsystems involved. The cost of an individual subsystem is a function of parameters of that particular subsystem. Further, different types of technology are considered available at different time periods that impacts the switchover cost. The total profitability is further reduced by the platform development cost of the variants. The complete engineered system level problem is formulated as a non-linear programming optimization problem and solved using the non-linear generalized reduced gradient algorithm. The application of the proposed methodology is demonstrated using a case example of an automotive truck family"--Abstract, p. iv.
description.
statementOfResponsibility
by Mohit Goswami.
typeThesis/Dissertation
type.DCMITypetext
format.extentix, 62 p. : ill., digital, PDF file.
language.ISO639-2eng
rightsThese materials are protected under copyright by the original author.
date.accessioned2008-06-18T15:18:02Z
date.available2008-06-18T15:49:53Z
identifier.persist.URI
http://scholarsmine.mst.edu/thesis/Application_of_produ_09007dcc8051f4c1.html
Full Text
Goswami_09007dcc804feafa.pdf