Intelligent process control in manufacturing industry with sequential processes

Article Abstract:

A hybrid approach for intelligent process control in manufacturing environments with sequential processes is proposed. The method is used in combination with the inductive learning and neural network to derive rules and control and improve operating manufacturing conditions. The proposed approach is applied to an intelligent process control system in the production of color-cathode ray tubes and semiconductors. It is shown that the hybrid method is capable of handling a continuous output value by using a self-organizing feature map model, which clusters groups along the characteristics of data.

Models, Usage, Computer networks, Neural networks, Manufacturing processes, Manufacturing, Process control, Intelligent control systems

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Product costing for complex manufacturing systems

Article Abstract:

A model that improves activity-based costing (ABC) was created to act as an aid in planning and simulating business processes. The model, which integrates manufacturing planning and product costing, specifically act as a planning tool to establish a managerial support system that allows close monitoring of manufacturing performance. Utilization of the model developed results to enhancement of cost management initiatives as well as sales and production planning.

Cost accounting

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Managing capacity in tightly constrained systems

Article Abstract:

A study investigated the different tactical choices that make-to-order companies can make to effectively allocate capacity and manage demand. The analysis was confined to scenarios where total demand is greater than available capacity. Findings indicate that the application of the concept of rationing capacity to discriminate between classes of products could be valuable in a variety of make-to-order manufacturing environments.

Production (Economics), Demand (Economics), Industrial capacity

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