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Investment Decisions in Advanced Manufacturing Technology

Investment Decisions in Advanced Manufacturing Technology
Author: Magdy G. Abdel-Kader
Publisher: Routledge
Total Pages: 350
Release: 2018-12-20
Genre: Social Science
ISBN: 0429826826

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First published in 1998, this volume was designed to lead to an operational model of Advanced Manufacturing Technology (AMT) decision making which incorporated the mathematics of fuzzy set theory. The rapid advancement of robotics, automated technologies and software such as CAD and CAM have made such studies paramount. Here, analyses of a questionnaire survey and field study of major UK manufacturing companies together provide a simulating portrayal of AMT investment decision making and have been expanded upon with a model using fuzzy set theory.


Plant Investment Decisions in Manufacturing Industries

Plant Investment Decisions in Manufacturing Industries
Author: Lukas Endfellner
Publisher:
Total Pages:
Release: 2018
Genre:
ISBN:

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This thesis in the format of an exploratory study analyzes theinvestments of 1006 companies announcing investments intomanufacturing plants on a global scale from 1984-2017. Motivated byKevin B. Hendricks' and Vinod R. Singhal's paper on 'The effect of supplychain glitches on shareholder wealth' (2003) the findings presented inthis thesis create new insights into the development of the sums investedinto manufacturing facilities, the impact of investments on the number ofjobs created and the development of costs for new job creation in themanufacturing industry.The thesis includes investment announcements in four differentindustries: automotive, pharmaceuticals, chemical and the fast-movingconsumer goods industry (FMCG). The methodology used for dataanalysis is the multiple linear regression model.The analysis suggests, that the number of jobs is decreasing over timefrom 2008-2017, compared to a base period of 1984-2007 (representing12 % of the investments). Furthermore, the capital expenditures forinvestments are decreasing in the same period (2008-2017),contradictory to the hypothesis stated and opposing to the commonunderstanding. The hypothesis stating that companies are investing morein new manufacturing plants in the last 10 years has to be rejected,according to our data. In addition to that the, data shows that it becomesmore expensive for companies to create jobs in the most recent years.Finally, the results are discussed and opportunities for future research aswell as limitations are presented.


Strategic Investment Planning with Technology Choice in Manufacturing Systems

Strategic Investment Planning with Technology Choice in Manufacturing Systems
Author: Shan Ling Li
Publisher: Routledge
Total Pages: 168
Release: 2018-07-27
Genre: Business & Economics
ISBN: 0429835108

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Originally published in 1994 this book examines problems related to investment planning, capacity additions, and choice of technology in dynamic manufacturing systems characterized by multiple products, dynamic demand growth, uncertainty in demand and availability of alternative technologies. A model-based methodology is developed that focuses on trade-offs between flexible and conventional technology. The research conducted for this book is directed to the development of tools to support investment decisions in production capacity over medium and long-term planning horizons.


Investment Financing. An Empirical Study of Indian Manufacturing Sector

Investment Financing. An Empirical Study of Indian Manufacturing Sector
Author: Abdul Ansari
Publisher: GRIN Verlag
Total Pages: 121
Release: 2019-02-26
Genre: Business & Economics
ISBN: 3668885788

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Doctoral Thesis / Dissertation from the year 2018 in the subject Economics - Case Scenarios, University of Delhi, language: English, abstract: This book contains, first, a broad study of Indian Manufacturing sector, its contribution in Indian national income, employment and role in industrial output and growth. Second, by using CMIE industrial panel data and latest econometric methodology, an attempt has been made to empirically investigate the investment cash flow sensitivity in the non-government manufacturing sector of India after economic reforms of 1991. This book is most suited for advanced under graduates, post graduate and research students who are pursuing research in Indian economic development and investment analysis. Another feature of this book is the frequent presentation of statistical data in tables or graphs. These serve not only to give readers a sense of comparative analysis but also to acquaint them with possible sources for any research they may wish to undertake in Indian industrial sector themselves. Finally, this book also provides some of the short and long term problems faced by this sector which is necessary for an intelligent perusal of the Indian economic development issues.


Understanding Industrial Investment Decision-making

Understanding Industrial Investment Decision-making
Author: Christopher Russell
Publisher:
Total Pages: 0
Release: 2012
Genre: Manufacturing industries
ISBN:

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Evidence of a resurgent, domestic manufacturing sector has strategic implications for energy policy as well as the economy. This industrial renewal is an opportunity to lock in energy savings for a generation for the U.S., and should be taken advantage of by state and utility energy programs. This report examines the dynamics of capital investment that drives industrial energy use and competitiveness. The report presents results from a survey of industry stakeholders that identifies the nature of capital investment decision-making. With a better understanding of capital investment dynamics, program administrators can work in concert with industry managers to build more efficient and productive manufacturing facilities on U.S. soil to create a more efficient and competitive manufacturing base for the future.


Time-To-Build

Time-To-Build
Author: Marga Peeters
Publisher: Springer Science & Business Media
Total Pages: 208
Release: 2012-12-06
Genre: Business & Economics
ISBN: 3642468152

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As large physical capital stock projects need long periods to be built, a time-to-build specification is incorporated in factor demand models. Time-to-build and adjustment costs dynamics are identified since by the first moving average dynamics, whereas by the latter autoregressive dynamics are induced. Empirical evidence for time-to-build is obtained from data from the Dutch construction industry and by the estimation result from the manufacturing industry of six OECD countries.