Yesim Sireli

Integration of Kano's Model Into QFD for Multiple Product Design

Simultaneous multiple product design is essential to meet customer expectations faster and with a focus on shortening life cycles, and new methodologies are needed to address the complexities related to it. quality function deployment (QFD) can help gather customer needs and link them to product design. However, understanding customer needs accurately is a challenge for traditional QFD analysis, and for this reason, Kanos model of customer satisfaction is associated with QFD in the literature. However, incorporating the results of Kanos model into QFD presents another challenge. The objective of this research is to provide a step-by-step methodology that fine-tunes the QFD method by combining Kanos model and QFD in a robust manner, from the perspective of simultaneous multiple product design. This research also includes an application of this proposed methodology on cockpit weather information system (CWIS) design, a part of NASAs Aviation Weather Information (AWIN) project, to demonstrate its usefulness

A Decision Model to Analyze Costs and Benefits of RFID for Superior Supply Chain Performance

Radio frequency identification (RFID) is believed to change drastically how supply chains operate, giving more control and visibility into the materials and information flowing through the entire chain. While adoption of RFID technology is starting to ramp up, many supply chain players are still skeptical due to the high costs. The purpose of this paper is to analyze the cost versus the benefits of RFID. Given the uncertainties regarding the RFID technology and scarcity of related data, a simulation model is built to carry out a net present value (NPV) analysis for various possible business scenarios. The parameters considered in our simulation experiments include company size, margins, tag prices, fixed costs, increased sale and margin benefits. The resulting NPV distributions help us identify the risk and the volumes and margins that make RFID a viable option

A New Market Adoption Model for the Information Systems Industry

Abstract: The information systems (IS) industry has challenges in the effectiveness of product development because new product failures are a significant problem. High failure rates of IS projects suggest that organizations need to improve their ability to forecast market adoption of their products. This study first reviews several aggregate diffusion models based on selection criteria created according to the needs of the IS industry. It then concludes that developing a new market penetration model based on the criteria is helpful to the IS product development process. The new model is formulated by using conjoint analysis and a purchase decision simulator. The functionality of the model is also demonstrated on the sales data global positioning systems (GPS). Forecasting the life cycles of technical products such as IS is essential for engineering managers to develop products with potential market success. As a result, this research contributes to the engineering management body of knowledge by providing two beneficial outcomes: (1) a brief survey of market adoption models to engineering managers, and (2) a new model for engineering managers, particularly for the ones working with IS, to support their new product development decisions based on forecasts on future market adoption of their products.