Personal Preference and Trade-Off Based Additive Manufacturing Web Service Selection


The growing number of Additive Manufacturing Web (AMW) services, offered by different providers over the Internet, makes it challenging for consumers to compare these AMW services to select a service of their choice. In addition, it is even more challenging for consumers to compare these AMW services against their personal preferences. This is because, consumers personal preferences on multiple non-functional attributes such as price, material, accuracy and schedule, should be considered for AMW service selection. The decentralized nature of AMW services coupled by the need to consider consumers personal preferences during AMW service selection, requires a system that will serve as a broker between AMW services and consumers. In this paper, we propose a service broker system for AMW services that provides consumers with a single point of access to a large number of AMW services from many additive manufacturing service providers. This broker system also incorporates the first real application of service selection with fuzzy logic based personalized preferences and trade-off. We develop a method to generate fuzzy membership functions for each non-functional attribute. This makes it easy for consumers to specify their fuzzy membership functions. Finally, we present an application case study to demonstrate the feasibility of brokerage in AMW services and also evaluate our method in terms of performance.

Meeting Name

2015 IEEE International Conference on Web Services, ICWS 2015 (2015: Jun. 27-Jul. 2, New York, NY)


Computer Science

Second Department

Mechanical and Aerospace Engineering

Keywords and Phrases

3D printers; Economic and social effects; Electronic trading; Fuzzy logic; Manufacture; Membership functions; Websites; Fuzzy membership function; Manufacturing service; Non-functional; Personal preferences; Real applications; Service broker; Service selection; Web service selection; Web services

International Standard Book Number (ISBN)


Document Type

Article - Conference proceedings

Document Version


File Type





© 2015 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.

Publication Date

01 Jun 2015