Providing products that are customized to meet a specific customer's unique needs is challenging for companies. Product configuration systems are tools that enables parts of these activities to be performed automatically. However, there is a lack of systems designed to ensure that the configured products are based on customer needs. Decision support systems based on Multi-criteria decision making methods have the potential to solve this problem. Yet, there is a lack of knowledge regarding various multi-criteria decision making methods. Moreover, there is a need to reduce the complexity of the methods by incorporating them into user-friendly software’s. This research therefore investigates how the architecture of a decision support system based on multi-criteria decision making methods could be structured to include customer needs and suggest product configurations based on them. Through a literature review various methods are analyzed. In collaboration with an aircraft towing tractor manufacturer as a representative of customizable products the architecture of the system is developed. The study shows that a system based on a combination of Analytical Hierarchy Process, Quality Function Deployment and Expert system can solve the problem. This is to the authors knowledge the first study to use this combination. It provides an approach of how to ensure that product configurations can be aligned with customer needs and that the consistency of these needs is assured.
Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:lnu-131229 |
Date | January 2024 |
Creators | Hannes, Fransson |
Publisher | Linnéuniversitetet, Institutionen för skog och träteknik (SOT) |
Source Sets | DiVA Archive at Upsalla University |
Language | English |
Detected Language | English |
Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
Format | application/pdf |
Rights | info:eu-repo/semantics/openAccess |
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