Matching Items (2)
Description
The case study is designed based on two analytical techniques: Value Analysis (VA) and Quality Function Development (QFD). VA and QFD are two effective methods to help manufacturers to achieve cost reductions. The idea of designing an in-class workshop is taking the characteristic of QFD, which is customer preference analysis, and applying it to value analysis procedure to attain a goal of satisfying customer demands more effectively. The workshop aims to help students understand the significance of knowing customer requirements during the manufacturing process and demonstrate the effect of VA, which is supporting organizations to focus their development activities on areas that provide the greatest customer value. The workshop took place near the end of Spring 2020 semester for students who took the managerial accounting course. Students worked remotely on the project in teams. Each team analyzed one of the four products, Hummer H2, Ferrari 488, Large Luxury SUV, and Supercar. By following steps, students developed the importance ranking for vehicle functions and discussed their results, and eventually, they calculated system costs based on the rating results. As part of the workshop, students participated in a pre-class survey and a post-class survey, indicating their learning experiences and providing feedback. Through the analysis of the surveys, most of the students were satisfied with the instructions of the workshop and comfortable with learning materials. Considering the continuation of the workshop, recommendations on online structure and in-class settings will help to improve the effectiveness and learning outcomes of the in-class case study.
ContributorsLyu, Yidan (Author) / Swenson, Dan (Contributor) / Clausen, Thomas (Contributor) / School of Accountancy (Contributor) / Department of Finance (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
The purpose of this research was to identify various problems within value analysis teams as well as provide solutions that will help to better align the agents involved in the value analysis process. As healthcare costs continue to rise, and hospital reimbursements fall, value analysis teams will play an even more pivotal role in the success of healthcare organizations. Also, the industry trend toward value-based care is highlighting the importance of these teams. However, interdisciplinary value analysis teams bring to light the underlying agency issue that exists between physicians and hospital administrators, and the general misalignment of values between the participants. In order for these teams to function properly, it is inherent that all of the professionals involved align their incentives. For this study, I studied relevant literature pertaining to value analysis, attended relevant speakers, and then performed interviews with several different professionals involved in healthcare value analysis. I organized and coded this data using the Grounded Theory approach, and was able to identify the underlying issues within these teams. I then created a typology of value analysis teams, based on my respondents, where I segment them into four tiers based on their utilization of data, and their level of physician involvement. Finally, I identified three distinct strategies for developing value analysis teams to implement in order to increase their efficiency and overall success.
ContributorsLindgren, Thomas John (Author) / Schneller, Eugene (Thesis director) / Choi, Thomas (Committee member) / Department of Supply Chain Management (Contributor) / Department of Economics (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05