IEEE International Engineering Management ConferenceIEEE, 1994 |
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Pagina 194
... stages of information processing . First , the acquisition of information stage from the environment and the memory can be biased . The issue here is the salience of information . Biases at this stage could be availability , selective ...
... stages of information processing . First , the acquisition of information stage from the environment and the memory can be biased . The issue here is the salience of information . Biases at this stage could be availability , selective ...
Pagina 283
... stage i that are used as inputs by stage j . In the ith stage , there is a subset of k protocols , ak and associated production tasks and states which produce intermediate goods xij . With a transformation Akj I1 α1 ( 1 ) ... ... I a ...
... stage i that are used as inputs by stage j . In the ith stage , there is a subset of k protocols , ak and associated production tasks and states which produce intermediate goods xij . With a transformation Akj I1 α1 ( 1 ) ... ... I a ...
Pagina
... stages in the OLP . The first stage involves generation of alternative perspectives of the organization by participants . The first stage , begins by selecting focus areas , e.g. , issues in transformation to a quality organization or ...
... stages in the OLP . The first stage involves generation of alternative perspectives of the organization by participants . The first stage , begins by selecting focus areas , e.g. , issues in transformation to a quality organization or ...
Inhoudsopgave
Implementation | 2 |
Al Connelly Connelly Associates International | 13 |
Total Quality in Management Decision Making | 93 |
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achieve activities Analytic Hierarchy Process application approach areas bisociative carrier characteristics chart communication competitive complex continuous improvement corporate cost creativity criteria database decision analysis defined effective employees Engineering Management environment evaluation factors FFRDCs Figure Finland focus functions global goals House of Quality identified IEEE implementation important increased individual industrial base innovative behavior input integrated internal leadership learning logistics manufacturing measure mentoring methodology metrics needs operations organization organizational organizational learning output performance phase planning potential problem problem-solving style product development project management Quality Function Deployment quality management quality system R&D management R&D projects relationship requirements responsibility Review risk selection specific strategic structure success systems thinking tasks technical Total Quality Management University