Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations
Practical neural network recipes in C++
Practical neural network recipes in C++
Neural network and fuzzy logic applications in C/C++
Neural network and fuzzy logic applications in C/C++
An economic design of the zone control chart for jointly monitoring process centering and variation
Computers and Industrial Engineering - Special issue on reverse engineering in industry: research issues and applications
Proceedings of the 15th annual conference on Computers and industrial engineering
The simulation metamodel
Control chart tests based on geometric moving averages
Technometrics
Simulation Modeling and Analysis
Simulation Modeling and Analysis
Time Series Analysis, Forecasting and Control
Time Series Analysis, Forecasting and Control
Computers and Industrial Engineering
A Platform for Service-Oriented Integration of Software Engineering Environments
Proceedings of the 2009 conference on New Trends in Software Methodologies, Tools and Techniques: Proceedings of the Eighth SoMeT_09
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In this paper, an integrated multidimensional process improvement methodology (IMPIM) is formulated to address the yield management, process control and cost management problems of a manufacturing system. Simulation is used as a platform to implement the integrated multidimensional process methodology by incorporating the productivity, quality and cost dimension in a unified, systematic and holistic manner. Total Quality Management (TQM) addresses the quality parameters and Activity-Based Costing is used to manage the cost dimension of the system. Discrete event simulation is then used as a platform to perform process reengineering (Business Process Reengineering) and process improvement (TQM). The general implementation framework of the IMPIM is given with a step-by-step explanation. A conceptual discussion is also provided for the integrated methodology. The generic IMPIM is then formulated and the detailed implementation procedures for two case studies are compared with the generic methodology.