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Quality and productivity linking methodologies for industries using SPSS (Statistical Package for Social Sciences)

Organized by Centre for Communication Skills and Entrepreneurship UniMAP in collaboration with The Ministry of Higher Education Malaysia, 5th - 6th December 2008 at Putra Palace Hotel, Perlis.

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Bibliographic Details
Main Authors: Untawale, S. P., Akant, S. S.
Format: Working Paper
Language:English
Published: Universiti Malaysia Perlis 2009
Subjects:
SPSS (Computer file)
Productivity
Quality
Resource planning
Quality process orientation
Performance improvement and monitoring
Quality procedure implementation
Social sciences > Data processing
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/5833
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spelling my.unimap-58332009-05-28T00:47:19Z Quality and productivity linking methodologies for industries using SPSS (Statistical Package for Social Sciences) Untawale, S. P. Akant, S. S. SPSS (Computer file) Productivity Quality Resource planning Quality process orientation Performance improvement and monitoring Quality procedure implementation Social sciences -- Data processing Organized by Centre for Communication Skills and Entrepreneurship UniMAP in collaboration with The Ministry of Higher Education Malaysia, 5th - 6th December 2008 at Putra Palace Hotel, Perlis. Worldwide competition and the pace of technological innovation simply will not permit distraction from industries’ primary tasks of producing quality products at competitive prices. The profitability, productivity and market share of Indian firms have been adversely affected by many factors, including raw material price increases, a failure to understand customers and markets, incentives, quality procedure implementation and poor use of capital. In the present conditions of global business, most organizations have identified the competitive priorities, such as; cost, quality, dependability, flexibility and innovativeness. These priorities can be considered to be embedded in Total Quality Management (TQM) and Total Productivity Management (TPM). Productivity and quality are intimately linked. An effective way to improve productivity is through total quality improvement, which must be a comprehensive effort carefully linked to the strategic planning process. This study examines the factors responsible for providing a major enhancement to the organization by improving its quality and hence productivity. The objective of this study is to determine how productivity and quality can be integrated and how to formulate a model for this interrelation. The data analysis and conclusions were sought using the factor analysis concept of SPSS (Statistical Package for the Social Sciences). About hundred people connected with quality and productivity was given a questionnaire on 90 parameters with respect to quality and productivity. The subjects felt that improving machines and equipment, strategic planning of resources, involvement and participation of people for monitoring, continuous quality improvement, performance improvement and quality procedure implementation would best increase both productivity and quality. The results showed that it is possible to devise measures, which increase both productivity and quality. 2009-05-28T00:47:18Z 2009-05-28T00:47:18Z 2008-12-05 Working Paper p.386-403 http://hdl.handle.net/123456789/5833 en International Conference on the Roles of the Humanities and Social Sciences in Eengineering 2008 (ICOHSE08) Universiti Malaysia Perlis
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic SPSS (Computer file)
Productivity
Quality
Resource planning
Quality process orientation
Performance improvement and monitoring
Quality procedure implementation
Social sciences -- Data processing
spellingShingle SPSS (Computer file)
Productivity
Quality
Resource planning
Quality process orientation
Performance improvement and monitoring
Quality procedure implementation
Social sciences -- Data processing
Untawale, S. P.
Akant, S. S.
Quality and productivity linking methodologies for industries using SPSS (Statistical Package for Social Sciences)
description Organized by Centre for Communication Skills and Entrepreneurship UniMAP in collaboration with The Ministry of Higher Education Malaysia, 5th - 6th December 2008 at Putra Palace Hotel, Perlis.
format Working Paper
author Untawale, S. P.
Akant, S. S.
author_facet Untawale, S. P.
Akant, S. S.
author_sort Untawale, S. P.
title Quality and productivity linking methodologies for industries using SPSS (Statistical Package for Social Sciences)
title_short Quality and productivity linking methodologies for industries using SPSS (Statistical Package for Social Sciences)
title_full Quality and productivity linking methodologies for industries using SPSS (Statistical Package for Social Sciences)
title_fullStr Quality and productivity linking methodologies for industries using SPSS (Statistical Package for Social Sciences)
title_full_unstemmed Quality and productivity linking methodologies for industries using SPSS (Statistical Package for Social Sciences)
title_sort quality and productivity linking methodologies for industries using spss (statistical package for social sciences)
publisher Universiti Malaysia Perlis
publishDate 2009
url http://dspace.unimap.edu.my/xmlui/handle/123456789/5833
_version_ 1643788398431830016
score 13.211869

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