Thesis (M.Sc.)--Memorial University of Newfoundland, 2004. / Restricted until May 2005. Bibliography: leaves 220-230.

Thesis (doctoral) - Univ. der Bundeswehr, München, 2005.

Thesis (M.S.)--Virginia Polytechnic Institute and State University, 1994. / Vita. Abstract. Includes bibliographical references (leaves 171-176). Also available via the Internet.

No description available.

The goal of this diploma thesis is to apply the calculation methods of productivity in the level of national economics and company economics. Subsequently we found out the results of particular productivity and evaluate their development in both levels. Afterwards we compared individual results of the company with industry.

The aim of the Diploma´s work was to explain the concept of corporate and regional productivity and possibility of evaluation. Furthermore to analyze the development of value added on the basis of the specific enterprise data and at the regional level. The theoretical part described the concept of productivity and factors of production. Then followed a description of the business concept of productivity, the possibility of evaluation and rating of regional productivity. In the practical part was characterized selected company. Followed economic data needed to calculate productivity at the enterprise level. The productivity was significantly affected by the economic crisis of 2009. Another part of work was devoted to evaluation of regional productivity. In the last section were compared corporate productivity and regional productivity in the years 2005 - 2011. The comparison showed that labor productivity in enterprise is on a lower level than the sector average. Conversely capital productivity was higher in the enterprise. Another finding was significant annual changes in enterprise productivity compared to the relatively stable of sector development.

The South African economy desperately requires an injection from small manufacturing enterprises that are productive and highly organized - hence the need to identify suitable productivity measurement approaches for use in these enterprises. The following research question was formulated: Which productivity approach( es) is (are) generally most suitable for small manufacturing enterprises in the steel and engineering industry of South Africa? The following directions of research were identified: (1) A literature search revealed 12 productivity measurement approaches. The theory of each is discussed in detail. (2) An empirical search was performed to establish the requirements of industry. This process is fully discussed. The results of both the literature and empirical searches were used to develop a list of criteria. These criteria were compared with each of the approaches, and only three were found to conform to these requirements. The results of this comparison provided the answer to the research question. / Department of Business Management / M.Com (Business Management)

The South African economy desperately requires an injection from small manufacturing enterprises that are productive and highly organized - hence the need to identify suitable productivity measurement approaches for use in these enterprises. The following research question was formulated: Which productivity approach( es) is (are) generally most suitable for small manufacturing enterprises in the steel and engineering industry of South Africa? The following directions of research were identified: (1) A literature search revealed 12 productivity measurement approaches. The theory of each is discussed in detail. (2) An empirical search was performed to establish the requirements of industry. This process is fully discussed. The results of both the literature and empirical searches were used to develop a list of criteria. These criteria were compared with each of the approaches, and only three were found to conform to these requirements. The results of this comparison provided the answer to the research question. / Department of Business Management / M.Com (Business Management)

A project report submitted to the faculty of Engineering, University of the Witwatersrand, in partial fulfillment of the requirement for the degree of master of science in engineering / Industry in South Africa, and in particular the mining industry is faced with unprecedented challenges to remain profitable. [Abbreviated Abstract. Open document to view full version] / AC2017

Until recent developments, labor productivity had been analyzed manually requiring time-consuming work and the possibility of human error. Past research has shown the multitude of benefits obtained from implementing radio frequency identification technology within various construction sites including asset tracking, inventory management, and on-site security upgrades. Additional construction improvements can be identified in terms of productivity analysis of work crews, material transport, and the overall approach to a project to determine whether the construction process is operating at maximum efficiency or can be adjusted to improve its effectiveness. This paper presents the results of implementing radio-frequency identification technology and provides a study of labor productivity analysis for a window replacement project on a high-rise construction site. This extensive study tracks the efficiency of a buck hoist worker and material lift system for transportation and illustrates the applicability of the technology despite the presence of numerous signal impeding obstacles located throughout the site. These issues are resolved with an effective automated location and time tracking system that work in both an indoor and outdoor environment simultaneously with a data recording software and database. The in-house development of the database allows for timely information retrieval of various items of interest in this study and requires less The experimental results show that RFID technology has the capacity to work and produce useful data for labor productivity purposes in an ever-changing construction environment. The research further recognizes relevant information regarding system optimization and worker feedback for future use.