This paper discusses an industrial project in which the objective was to develop a classification method for associating key characteristics of supplier/customer relationships with supplier evaluation focus groups and core supplier capabilities. A neural network model was developed to supplement...

A method is proposed for decomposing the decision making process based on risk factors in product development (e.g., redesign risk, schedule risk). The IDEF3 methodology is used to capture the macro-decision structure of the design process. Decision sets are identified based on logical...

The reduction of setup time has a significant impact on shortening manufacturing cycle time. In this paper, characteristics of setup activities are investigated, and models for sequencing setup activities are discussed. Sequencing setup activities can be modeled as a project scheduling problem....

A newly introduced product or service becomes an innovation after it has been proven in the market. No one likes the fact that market failures of products and services are much more common than commercial successes. A data-driven approach to innovation is proposed. It is a natural extension of...

Innovation research is highly interdisciplinary and has attracted numerous science and practice communities. Though innovation results are broadly applicable, this paper focuses on engineering and service domains. The two are tightly interrelated, as the benefits of product innovation are...

The term innovation resonates broadly in cyberspace, books and journals. A careful analysis of the vast open-source information indicates that the engineering literature on underlying science of innovation is limited. Innovations in any domain can be enhanced by principles and insights from...

The term innovation resonates broadly in the cyberspace, books, and journals. A careful analysis of the literature indicates that the knowledge of the underlying science of innovation is limited. Innovation in any domain can be enhanced by principles and insights from different disciplines....

Models and algorithms for effective decision-making in a data-driven environment are discussed. To enhance the quality of the extracted knowledge and decision-making, the data sets are transformed, the knowledge is extracted with multiple algorithms, the impact of the decisions on the modeled...

The IDEF methodology has been extensively used for modeling various processes. Qualitative and quantitative reliability analysis and risk assessment of IDEF models is of interest to industry for several reasons. It identifies critical activities in a process, improves the process performance,...

In this paper, models for short- and long-term prediction of wind farm power are discussed. The models are built using weather forecasting data generated at different time scales and horizons. The maximum forecast length of the short-term prediction model is 12 h, and the maximum forecast length...