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- All Subjects: engineering
- Genre: Masters Thesis
Description
Utilizing the Arizona State University's Performance Based Studies Research Group, and their PIPS program, a roofing materials manufacturing company can evaluate performance of representatives, products and contractors. Service life of the systems can be tracked and customer satisfaction measured it provides an objective viable tool for the consumer to choose a quality product and contractor without the distractions of marketing, promises, or a salesman's hype. Facilities purchasing a new roof system, can benefit from the information gathered as a guide in making sound, value based decisions. Creating a historical, concise and accurate documentation of roofing systems is a benefit to all involved. The procurement process, installation and longevity of the roofing systems can be tracked and graded.
ContributorsGreenfeld, Larry (Author) / Kashiwagi, Dean T. (Thesis advisor) / Sullivan, Kenneth T. (Committee member) / Badger, William W. (Committee member) / Arizona State University (Publisher)
Created2013
Description
As a term and method that is rapidly gaining popularity, Building Information Modeling (BIM) is under the scrutiny of many building professionals questioning its potential benefits on their projects. A relevant and accepted calculation methodology and baseline to properly evaluate BIM's benefits have not been established, thus there are mixed perspectives and opinions of the benefits of BIM, creating a general misunderstanding of the expected outcomes. The purpose of this thesis was to develop a more complete methodology to analyze the benefits of BIM, apply recent projects to this methodology to quantify outcomes, resulting in a more a holistic framework of BIM and its impacts on project efficiency. From the literature, a framework calculation model to determine the value of BIM is developed and presented. The developed model is applied via case studies within a large industrial setting where similar projects are evaluated, some implementing BIM and some with traditional non-BIM approaches. Cost or investment metrics were considered along with benefit or return metrics. The return metrics were: requests for information, change orders, and duration improvements. The investment metrics were: design and construction costs. The methodology was tested against three separate cases and results on the returns and investments are presented. The findings indicate that in the tool installation department of semiconductor manufacturing, there is a high potential for BIM benefits to be realized. The evidence also suggests that actual returns and investments will vary with each project.
ContributorsBarlish, Kristen Caroline (Author) / Sullivan, Kenneth T. (Thesis advisor) / Kashiwagi, Dean T. (Committee member) / Badger, William W. (Committee member) / Arizona State University (Publisher)
Created2011
Description
Commodity contracts are often awarded on the basis of price. A price-based methodology for making such awards fails to consider the suppliers' ability to minimize the risk of non-performance in terms of cost, schedule, or customer satisfaction. Literature suggests that nearly all risk in the delivery of commodities is in the interfacing of nodes within a supply chain. Therefore, commodity suppliers should be selected on the basis of their past performance, ability to identify and minimize risk, and capacity to preplan the delivery of services. Organizations that select commodity suppliers primarily on the basis of price may experience customer dissatisfaction, delayed services, low product quality, or some combination thereof. One area that is often considered a "commodity" is the delivery of furniture services. Arizona State University, on behalf of the Arizona Tri-University Furniture Consortium, approached the researcher and identified concerns with their current furnishing services contract. These concerns included misaligned customer expectations, minimal furniture supplier upfront involvement on large capital construction projects, and manufacturer design expertise was not being utilized during project preplanning. The Universities implemented a best value selection process and risk management structure. The system has resulted in a 9.3 / 10 customer satisfaction rating (24 percent increase over the previous system), for over 1,100 furniture projects totaling $19.3M.
ContributorsSmithwick, Jake (Author) / Sullivan, Kenneth T. (Thesis advisor) / Kashiwagi, Dean T. (Committee member) / Badger, William W. (Committee member) / Arizona State University (Publisher)
Created2012