Jiting Yang

Optimizing the NW Off-Shore Wind Turbine Design

Abstract This paper provides a solution to address one of the requirements identified in the US Northwest 6th Power Plan, specifically, meeting an increase in the forecasted Pacific Northwest demand with renewable generation. A model is presented which evaluates one source of renewable generation, off-shore wind energy. The model analyzes different wind turbine design characteristics, assigns significance to potential synergistic effects of one design feature on another, and provides an optimized design relative to the cost, environment, robustness, and overall efficiency of an off-shore wind turbine.

Enabling Collaborative Solutions Across the Semiconductor Manufacturing Ecosystem

A qualitative empirical study of 29 semiconductor manufacturer and supplier firms investigates the challenges associated with implementing lean practices that require broadly based collaboration across firms. The studys primary contribution is a model of the semiconductor manufacturing ecosystem, which shows how chipmakers, suppliers of enabling technologies, subsystem suppliers, and their respective competitors interact to develop the right technologies at the right time. The study finds that the biggest challenge to industry-wide collaboration is managing knowledge flows between users and suppliers in a manner that allows all parties to collaborate without losing competitive advantage. The paper also presents insights into how inter-organizational knowledge is created synchronously in the semiconductor industry. Finally, the paper makes suggestions as to how interfirm knowledge can be managed.

Organizational Learning and Capital Productivity in Semiconductor Manufacturing

This paper presents an empirical study, which leads to a theoretical framework that links organizational learning and capital productivity. The approach described in this paper helps fab managers make fundamental strategic decisions concerning capital investment and point of entry by engaging in scenario planning. Three strategic options for semiconductor manufacturing are analyzed in detail-leading-edge manufacturer, fast follower, and slow follower. The study concludes that profitability and capital productivity can be in conflict with each other. Leading-edge manufacturers can make large profits, if they ramp up to volume production in a timely manner, but their return on investment and thus their capital productivity are relatively low. Generally, manufacturers that do not run state-of-the-art processes are less profitable than those that do, but their return on investment and thus their capital productivity is comparatively high. Fast followers, which import part of their manufacturing process and ramp to volume production rapidly but with a delay, neither break even nor recover their investment.

Organizational learning and capital productivity in semiconductor manufacturing

This paper presents an empirically grounded model, which links organizational learning and capital productivity. The approach described in this paper helps fab managers make fundamental strategic decisions concerning capital investment and point of entry by engaging in scenario planning. Three strategic options for semiconductor manufacturing are analyzed in detail-leading-edge manufacturer, fast follower and slow follower.

Managing Pattern-Specific Fixed Costs in Integrated Device Manufacturing

This paper presents an empirically grounded model, which links organizational learning to pattern-specific fixed costs in integrated device manufacturing. The approach described in this paper helps fab managers make fundamental strategic decisions concerning product design and product mix by engaging in scenario planning. Four critical aspects of managing pattern-specific fixed cost are analyzed in detail-sensitivity to time, design cost, and production volume; platform designs; process postponement solutions; and design penalties. The model suggests that designers and fabrication facilities must collaborate extensively on the design and realizations of product platforms for state-of-the-art integrated circuit products to remain economically viable.

Managing the economic constraints of foundries and fabless enterprises

This paper presents an empirically grounded model, which links organizational learning to pattern-specific fixed costs. The approach described in this paper helps fab managers make fundamental strategic decisions concerning product design and product mix by engaging in scenario planning. Four critical aspects of managing pattern-specific fixed cost are analyzed in detail - sensitivity to time, design cost and production volume; platform designs; process postponement solutions; and design penalties. The model suggests that fabless enterprises and foundries must collaborate extensively on the design and realizations of product platforms for state-of-the-art integrated circuit products to remain economically viable.

A decision model for energy resource selection in China

Energy is important to human existence, economic development and society progress, which is also related to safety of a country and sustainable growth of economy. China is a rapidly developing country, where the decisions about energy alternatives are critical. This paper discusses coal, petroleum, natural gas, nuclear energy and renewable energy resources as energy alternatives for China. The paper presents a hierarchical decision model for the selection of energy resources for China in the future. The results indicate that renewable energy, coal, nuclear energy, natural gas and petroleum are ranked in that order. The sensitivity analysis reflects that the most critical criterion in the energy selection is the current energy infrastructure.