خط مشی دسترسیدرباره ما
ثبت نامثبت نام
راهنماراهنما
فارسی
ورودورود
صفحه اصلیصفحه اصلی
جستجوی مدارک
تمام متن
منابع دیجیتالی
رکورد قبلیرکورد بعدی
Record identifier : 568764
Personal Name - Primary Intelectual Responsibility : Ganguly, Anirban
Title and statement of responsibility : A decision-making model for the selection of capital projects [Thesis];supervisor: Merino, Donald N
Publication, Distribution,Etc. : Stevens Institute of Technology, 2009
Language of the Item : eng
Dissertation of thesis details and type of degree : Ph.D
Body granting the degree : , Stevens Institute of Technology
Summary or Abstract : Policy makers at all levels are confronted with the problem of selecting among alternative projects. The objective of this dissertation is to provide a decision-making model combing both economic and non-economic attributes attached to the process. Although most decision-making process emphasizes on the financial aspects, non-economic analysis forms an equally important part of the decision-making process. The proposed model observes the decision-making process from both economic as well as non-economic viewpoint. A set of economic variables are considered as a part of the economic study while a set of key customer and technical attributes were considered for the non-economic study. The economic analysis is comprised of an after tax study followed by a sensitivity analysis on key financial parameters. The non-economic analysis consisted of an integrated AHP-QFD model that was supported by a multiattribute analysis. The model was validated using an illustrative case study comparing two competing drug development processes--an existing versus an emerging (and potentially disruptive ) technology. Additionally, a set of metrics used to determine a disruptive technology and a set of possible risks associated with a emerging/disruptive technology process is provided in the appendix of the dissertation. The dissertation is expected to contribute significantly to the engineering management decision-making process, especially while comparing between an existing and an emerging (or disruptive) technology. Finally, the pharmaceutical policy-makers can use this model as a part of selecting their preferred drug development process..
Topical Name Used as Subject : Management
Information of biblio record : TL
 
 
 
(در صورت عدم وضوح تصویر اینجا را کلیک نمایید)