Integrating Product Functional and Decision-Making Models into a Single Survey to Better Understand Customer Requirements
| atmire.migration.oldid | 3107 | |
| dc.contributor.advisor | Freiheit, Theodor | |
| dc.contributor.author | Jin, Tian | |
| dc.date.accessioned | 2015-04-29T19:42:08Z | |
| dc.date.available | 2015-06-22T07:00:47Z | |
| dc.date.issued | 2015-04-29 | |
| dc.date.submitted | 2015 | en |
| dc.description.abstract | In the evaluation of product value, many attributes have been identified as influential factors. Functionality is one factor considered important and of primary concern when designing a new product. However, the determination of good product functional design currently relies mostly on designer opinion based on their experience, and thus there is a subsequent risk of increased new product development investment when designing to meet customer expectations. To better understand customer requirements so that functional design can be integrated into what the customer requires, this thesis proposes a methodology to measure customer functional preferences quantitatively as a determinant of good product functional design. A purchase decision-making model based survey method is developed for collecting data about customer functional preferences. The correlation between customer functional preferences and product functional design elements are defined by the reconciliation of the purchase decision-making model and the product functional model. This methodology ultimately supports the use of statistical analysis methods such as the structured equation modeling method to quantify the correlations so that an optimal understanding of product functional design requirements can be acquired by correlative mapping from customer functional preferences. In addition, the utility of the survey method is addressed by its implementation in a smartphone application as the interface for data collection. | en_US |
| dc.identifier.citation | Jin, T. (2015). Integrating Product Functional and Decision-Making Models into a Single Survey to Better Understand Customer Requirements (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/26578 | en_US |
| dc.identifier.doi | http://dx.doi.org/10.11575/PRISM/26578 | |
| dc.identifier.uri | http://hdl.handle.net/11023/2176 | |
| dc.language.iso | eng | |
| dc.publisher.faculty | Graduate Studies | |
| dc.publisher.institution | University of Calgary | en |
| dc.publisher.place | Calgary | en |
| dc.rights | University of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission. | |
| dc.subject | Engineering--Mechanical | |
| dc.subject.classification | customer functional preference | en_US |
| dc.subject.classification | functional design | en_US |
| dc.subject.classification | product function | en_US |
| dc.subject.classification | Decision Making | en_US |
| dc.subject.classification | data collection | en_US |
| dc.subject.classification | functional modeling | en_US |
| dc.title | Integrating Product Functional and Decision-Making Models into a Single Survey to Better Understand Customer Requirements | |
| dc.type | master thesis | |
| thesis.degree.discipline | Mechanical and Manufacturing Engineering | |
| thesis.degree.grantor | University of Calgary | |
| thesis.degree.name | Master of Science (MSc) | |
| ucalgary.item.requestcopy | true |