Game theory based multi-task scheduling of decentralized 3D printing services in cloud manufacturing

2021 ◽  
Author(s):  
Sicheng Liu ◽  
Lin Zhang ◽  
Weiling Zhang ◽  
Weiming Shen
Keyword(s):  
Game Theory ◽  
3D Printing ◽  
Task Scheduling ◽  
Cloud Manufacturing

Game theory–based multi-task scheduling in cloud manufacturing using an extended biogeography-based optimization algorithm

2019 ◽  
Vol 27 (4) ◽  
pp. 314-330 ◽  
Author(s):  
Jiuhong Xiao ◽  
Wenyu Zhang ◽  
Shuai Zhang ◽  
Xiaoyu Zhuang
Keyword(s):  
Game Theory ◽  
Task Scheduling ◽  
Optimization Algorithm ◽  
Cloud Manufacturing ◽  
Experimental Simulation ◽  
Scheduling Problem ◽  
Manufacturing Networks ◽  
Proposed Model ◽  
Customer Perspective ◽  
Manufacturing Platform

Cloud manufacturing is an emerging paradigm of global manufacturing networks. Through centralized management and operation of distributed manufacturing services, it can deal with different requirement tasks submitted by multiple customers in parallel. Therefore, the cloud manufacturing multi-task scheduling problem has attracted increasing attention from researchers. This article proposes a new cloud manufacturing multi-task scheduling model based on game theory from the customer perspective. The optimal result for a cloud manufacturing platform is derived from the Nash equilibrium point in the game. As the cloud manufacturing multi-task scheduling problem is known as an NP-hard combinatorial optimization problem, an extended biogeography-based optimization algorithm that embeds three improvements is presented to solve the corresponding model. Compared with the basic biogeography-based optimization algorithm, genetic algorithm, and particle swarm optimization, the experimental simulation results demonstrate that the extended biogeography-based optimization algorithm finds a better schedule for the proposed model. Its benefit is to provide each customer with reliable services that fulfill the demanded manufacturing tasks at reasonable cost and time.

Multi-task scheduling of distributed 3D printing services in cloud manufacturing

2018 ◽  
Vol 96 (9-12) ◽  
pp. 3003-3017 ◽  
Author(s):  
Longfei Zhou ◽  
Lin Zhang ◽  
Yuanjun Laili ◽  
Chun Zhao ◽  
Yingying Xiao
Keyword(s):  
3D Printing ◽  
Task Scheduling ◽  
Cloud Manufacturing

scholarly journals Cloud Manufacturing, Internet of Things-Assisted Manufacturing and 3D Printing Technology: Reliable Tools for Sustainable Construction

2021 ◽  
Vol 13 (13) ◽  
pp. 7327
Author(s):  
Rajesh Singh ◽  
Anita Gehlot ◽  
Shaik Vaseem Akram ◽  
Lovi Raj Gupta ◽  
Manoj Kumar Jena ◽  
...  
Keyword(s):  
3D Printing ◽  
Internet Of Things ◽  
Materials Science ◽  
Predictive Analytics ◽  
Residential Buildings ◽  
Three Dimensional ◽  
Cloud Manufacturing ◽  
Service Evaluation ◽  
Sustainable Construction ◽  
Access Technology

The United Nations (UN) 2030 agenda on sustainable development goals (SDGs) encourages us to implement sustainable infrastructure and services for confronting challenges such as large energy consumption, solid waste generation, depletion of water resources and emission of greenhouse gases in the construction industry. Therefore, to overcome challenges and establishing sustainable construction, there is a requirement to integrate information technology with innovative manufacturing processes and materials science. Moreover, the wide implementation of three-dimensional printing (3DP) technology in constructing monuments, artistic objects, and residential buildings has gained attention. The integration of the Internet of Things (IoT), cloud manufacturing (CM), and 3DP allows us to digitalize the construction for providing reliable and digitalized features to the users. In this review article, we discuss the opportunities and challenges of implementing the IoT, CM, and 3D printing (3DP) technologies in building constructions for achieving sustainability. The recent convergence research of cloud development and 3D printing (3DP) are being explored in the article by categorizing them into multiple sections including 3D printing resource access technology, 3D printing cloud platform (3D–PCP) service architectures, 3D printing service optimized configuration technology, 3D printing service evaluation technology, and 3D service control and monitoring technology. This paper also examines and analyzes the limitations of existing research and, moreover, the article provides key recommendations such as automation with robotics, predictive analytics in 3DP, eco-friendly 3DP, and 5G technology-based IoT-based CM for future enhancements.

3D Printing in Cloud Manufacturing: Model and Platform Design

2016 ◽  
Author(s):  
Lei Ren ◽  
Shicheng Wang ◽  
Yijun Shen ◽  
Shikai Hong ◽  
Yudi Chen ◽  
...  
Keyword(s):  
3D Printing ◽  
Cloud Model ◽  
Cloud Manufacturing ◽  
Architecture Design ◽  
Know How ◽  
Platform Architecture ◽  
Service Oriented ◽  
Geographically Distributed ◽  
3D Printers ◽  
Advanced Model

Although 3D printing has attracted remarkable attention from both industry and academia society, still only a relatively small number of people have access to required 3D printers and know how to use them. One of the challenges is that how to fill the gap between the unbalanced supply of various 3D printing capabilities and the customized demands from geographically distributed customers. The integration of 3D printing into cloud manufacturing may promote the development of future smart networks of virtual 3D printing cloud, and allow a new service-oriented 3D printing business model to achieve mass customization. This paper presents a primary 3D printing cloud model and an advanced 3D printing cloud model, and analyzes the 3D printing service delivery paradigms in the models. Further, the paper proposes a 3D printing cloud platform architecture design to support the advanced model. The proposed advanced 3D printing cloud model as well as the architecture design can provide a reference for the development of various 3D printing clouds.

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