DocumentCode :
2876646
Title :
Sample performance measures for organization processes
Author :
Gomes, A.M. ; de Oliveira, J.R.
Author_Institution :
Dept. of Ind. Eng., Pontifical Catholic Univ. of Rio de Janeiro, Brazil
fYear :
1991
fDate :
27-31 Oct. 1991
Firstpage :
400
Abstract :
Summary form only given, as follows. The issue of planning for quality and productivity improvements in an organization has been examined. Rational actions toward achieving goals and objectives require strategic planning under multiple decision criteria. Those criteria can be customer satisfaction, lack of necessity for reworking, total dollars income/total dollars spent, etc. They are usually interdependent and not necessarily quantifiable in monetary terms. Once a number of feasible strategies are generated, estimates of the expected measures of performance according to the various criteria must be produced. this is a fundamental input to the selection of the alternative (or alternatives) to be implemented, given previously identified as well as unfolding scenarios. Given the essential multicriteria nature of the planning process, guidelines for choosing analytical evaluation tools are outlined. Emphasis is placed on the particular application context of improving quality and productivity of data processing organizations. For the example context, candidate alternative strategies and evaluation criteria, within the major dimensions of the multicriteria evaluation problem, have been suggested.<>
Keywords :
DP industry; management; QC; analytical evaluation tools; customer satisfaction; data processing organizations; organization processes; planning; productivity improvement; quality improvement; sample performance measures; total dollars income; total dollars spent; Customer satisfaction; Data processing; Government; Guidelines; Process planning; Productivity; Strategic planning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Technology Management : the New International Language
Conference_Location :
Portland, OR, USA
Print_ISBN :
0-7803-0161-7
Type :
conf
DOI :
10.1109/PICMET.1991.183677
Filename :
183677
Link To Document :
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