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Oppenheimer added that the company hopes to improve margins with further supply chain and manufacturing process optimization as its production of the iPad mini continues to ramp up and become more efficient and cost-effective.
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In addition, this SV introductory article, highlights future research directions, such as the need for energy consumption and emission data for advanced manufacturing processes, optimization models and control schemes, supply chain innovations, and product-service integration.
But due to the limitation of the manufacturing processes or costs, some of these designs cannot be manufactured directly, so considering manufacturing process constraints in topology optimization becomes increasingly important.
A literature review spanning product design, manufacturing, and supply operations management reveals several near-term research needs, which are organized into four highly promising foci addressing product architecture engineering, assembly/disassembly operation modeling, manufacturing process modeling, and joint optimization of life cycle activities.
Stimulated by the growing demand for improving the reliability and performance of manufacturing process designs, the tolerance design optimization has been receiving significant attention from researchers in the field.
Besides that, the optimization technique for manufacturing process of eco-friendly brake pads is also covered.
Design and manufacturing process of lithium-ion battery electrodes are introduced in detail, and modeling and optimization of large-scale lithium-ion batteries are also presented.
The results validate the effectiveness of this comprehensive optimization procedure and the feasibility of designing the EFMRA to compensate the errors introduced from manufacturing process and environmental changes.
Controlling variability and process optimization are major issues of manufacturing processes which should be tackled together since optimal processes must be robust.
Scheduling optimization of manufacturing processes becomes more and more important.
In modeling and optimization of manufacturing processes using RSM, the sufficient data is collected through designed experimentation.
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