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

Chen, Toly

doi:10.1017/s0890060419000222

Cited by 12 publications

(15 citation statements)

References 28 publications

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“…In this study, products made by 3D printing are fully customized. By contrast, in Chen [31], 3D printing was applied to duplicate old toys that are no longer made in the factory.In addition, the chain effect between two successive 3D printing facilities is considered in this study to gain more slack, which was not considered by Chen [31] and is the novelty of this study.…”

Section: Introductionmentioning

confidence: 98%

“…The differences between this study and Chen [31] include:Fuzzy logic was applied in Chen [31] to consider uncertainty, but was not applied in this study. The uncertainty issue was not taken into account in this study.3D printing was applied to different fields in the two studies.…”

Section: Introductionmentioning

confidence: 99%

“…The uncertainty issue was not taken into account in this study.3D printing was applied to different fields in the two studies. It was applied to the toy industry in Chen [31], but to the dental industry in this study.The applications in the two studies are of different natures. In this study, products made by 3D printing are fully customized.…”

Section: Introductionmentioning

confidence: 99%

“…Fuzzy logic was applied in Chen [31] to consider uncertainty, but was not applied in this study. The uncertainty issue was not taken into account in this study.…”

Section: Introductionmentioning

confidence: 99%

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A Collaborative and Ubiquitous System for Fabricating Dental Parts Using 3D Printing Technologies

2019

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Three-dimensional (3D) printing has great potential for establishing a ubiquitous service in the medical industry. However, the planning, optimization, and control of a ubiquitous 3D printing network have not been sufficiently discussed. Therefore, this study established a collaborative and ubiquitous system for making dental parts using 3D printing. The collaborative and ubiquitous system split an order for the 3D printing facilities to fulfill the order collaboratively and forms a delivery plan to pick up the 3D objects. To optimize the performance of the two tasks, a mixed-integer linear programming (MILP) model and a mixed-integer quadratic programming (MIQP) model are proposed, respectively. In addition, slack information is derived and provided to each 3D printing facility so that it can determine the feasibility of resuming the same 3D printing process locally from the beginning without violating the optimality of the original printing and delivery plan. Further, more slack is gained by considering the chain effect between two successive 3D printing facilities. The effectiveness of the collaborative and ubiquitous system was validated using a regional experiment in Taichung City, Taiwan. Compared with two existing methods, the collaborative and ubiquitous 3D printing network reduced the manufacturing lead time by 45% on average. Furthermore, with the slack information, a 3D printing facility could make an independent decision about the feasibility of resuming the same 3D printing process locally from the beginning.

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Section: Introductionmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…Fuzzy logic was applied in Chen [31] to consider uncertainty, but was not applied in this study. The uncertainty issue was not taken into account in this study.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Collaborative and Ubiquitous System for Fabricating Dental Parts Using 3D Printing Technologies

2019

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“…3. The imprecision of forecasting the future demand, the uncertainty in the availability of cloud-based capacity [5], and the prioritization of self-owned capacity are more critical to the effectiveness of mid-term or longterm capacity and production planning. To address this concern, a fuzzy mixed-integer linear programming (FMILP) model and a fuzzy mixed-integer nonlinear programming (FMINLP) model are proposed in this study.…”

Section: Introductionmentioning

confidence: 99%

A fuzzy mid-term capacity and production planning model for a manufacturing system with cloud-based capacity

Chen

Wang

2020

Complex Intell. Syst.

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Most of the past cloud manufacturing (CMfg) studies investigated the short-term production planning or job scheduling of a CMfg system, while the mid-term or long-term capacity and production planning of a CMfg system has rarely been addressed. In addition, most existing methods are suitable for CMfg systems comprising three-dimensional (3D) printers, computer numerical control (CNC) machines or robots, but ignore the coordination and transportation required for moving jobs across factories. To fill these gaps, a fuzzy mid-term capacity and production planning model for a manufacturer with cloud-based capacity is proposed in this study. The proposed methodology guides a manufacturer in choosing between noncloud-based capacity and cloud-based capacity. It can be applied to factories utilizing machines with different degrees of automation including highly automatic equipment (such as 3D printers, CNC machines, and robots) and lowly automatic (legacy) machines, while existing methods assume that orders can be easily transferred between machines that are often highly automatic. In the proposed methodology, first, various types of capacity are unequally prioritized. Then, a fuzzy mixed-integer nonlinear programming model is formulated and optimized to make the mid-term or long-term capacity and production plan of a factory. The fuzzy capacity and production planning model is designed for factories with parallel machines. The proposed methodology has been applied to a case to illustrate its applicability. According to the experimental results, the proposed methodology successfully reduced total costs by up to 8%. The advantage of the proposed methodology over existing practices in fulfilling customers' demand was also obvious.

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Introduction

Chen¹

2020

3D Printing and Ubiquitous Manufacturing

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

Cited by 12 publications

References 28 publications

A Collaborative and Ubiquitous System for Fabricating Dental Parts Using 3D Printing Technologies

A Collaborative and Ubiquitous System for Fabricating Dental Parts Using 3D Printing Technologies

A fuzzy mid-term capacity and production planning model for a manufacturing system with cloud-based capacity

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