IEEE International Engineering Management ConferenceIEEE, 1998 |
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Pagina 161
... CHARACTERISTICS : DISTRIBUTIONS PARAMETERS Fig 2. The Probabilistic Modeling . The modeling of the random variables and the processes aims at describing the project and its characteristics using probabilistic distributions . For these ...
... CHARACTERISTICS : DISTRIBUTIONS PARAMETERS Fig 2. The Probabilistic Modeling . The modeling of the random variables and the processes aims at describing the project and its characteristics using probabilistic distributions . For these ...
Pagina 292
... characteristics does the output on certain conditions such as the patterns and the ranges of characteristics . Therefore , to predict the output more correctly we first extract the features and next find rules that can select features ...
... characteristics does the output on certain conditions such as the patterns and the ranges of characteristics . Therefore , to predict the output more correctly we first extract the features and next find rules that can select features ...
Pagina 433
... Characteristics of Institutionalization In order to assess the level of institutionalization associated with a particular tool or procedure , it is necessary to understand the elements and characteristics which make up the concept of ...
... Characteristics of Institutionalization In order to assess the level of institutionalization associated with a particular tool or procedure , it is necessary to understand the elements and characteristics which make up the concept of ...
Inhoudsopgave
STRATEGIC MANAGEMENT OF TECHNOLOGY | 1 |
Multisensor Optoelectronics System | 15 |
Animation of a Job Shop Scheduling Process | 28 |
Copyright | |
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activities analysis application approach areas automation Balanced Scorecard benefits capabilities Cellular Manufacturing client communication companies competitive complex cost cycle cyclical software development data mart database decision defined development process economic effective employees Engineering enterprise environment evaluation example expected Expert Systems factors Fat Clients firms focus function Geographic Information Systems global goals identified impact implementation important improve increase industry information system integration interaction internal issues kenaf knowledge manufacturing methodology Object OOBIS operations organization organizational output paper parameters performance phase planning problems product development Project Management psychological contract radical innovation Re-Design Rensselaer Polytechnic Institute requirements role schedule sharing specific stage strategy structure success system supplier task TCAD team members technical Thin Clients value network variables Waterfall Model