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Fuzzy approach for production planning by using a three-dimensional printing-based ubiquitous manufacturing system

Published online by Cambridge University Press:  15 August 2019

Tin-Chih Toly Chen Open the ORCID record for Tin-Chih Toly Chen [Opens in a new window]
Tin-Chih Toly Chen*
Affiliation:
Department of Industrial Engineering and Management, National Chiao Tung University, 1001, University Rd., Hsinchu, Taiwan
*
Author for correspondence: Tin-Chih Toly Chen, E-mail: [email protected]
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Abstract

A ubiquitous manufacturing (UM) system is used in manufacturing for obtaining the Internet of things solutions and provides location-based manufacturing services. Human-induced uncertainty and early termination are two complications that hamper the effectiveness of an UM system based on three-dimensional (3D) printing. To resolve these complications, several solutions were considered in this study. First, fuzzy-valued parameters were defined to determine uncertainty. Subsequently, slack was derived to determine whether to restart an early terminated 3D printing process in the same 3D printing facility. Consequently, two optimization models – a fuzzy mixed-integer linear programming model and a fuzzy mixed-integer quadratic programming model – were developed in this study. Based on the two optimization models, a fuzzy 3D printing-based UM system that considers uncertainty and early termination was developed. The effectiveness of the proposed methodology was tested by conducting a regional experiment. The experimental results revealed that the proposed methodology could shorten the average cycle time by 9% and could enable 3D printing facilities to make real-time, online reprinting decisions.

Keywords

Cycle timefuzzyslackthree-dimensional printingubiquitous manufacturing
Type
Practicum Paper
Information
AI EDAM , Volume 33 , Special Issue 4: Intelligent Interaction Design , November 2019 , pp. 458 - 468
Copyright
Copyright © Cambridge University Press 2019

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