Development of public cloud manufacturing markets: a mechanism design approach

Abstract

Online manufacturing markets are new emerging types of markets that are spreading in the shade of public Cloud Manufacturing. This paper introduces a public Cloud Manufacturing market and denotes its differences from a private one. Public Cloud Manufacturing enables service-oriented manufacturing models for everyone in society. The prosperity of such market is tied to appropriate matching between providers to consumers. This paper elaborates on a mechanism to prescribe an appropriate allocation between resources and demands in this public market. The mechanism exploits the VIKOR method to develop preference lists for providers and consumers, the method also is augmented by the Intuitionistic Fuzzy Sets to remove complexities and uncertainties that exist in the process of ranking; and Deferred Acceptance (DA) algorithm is utilised as the matching algorithm of the mechanism. The performance of the mechanism is analysed under influence of the proposer, resource availability and matching algorithm. The influence of proposer study indicates that the situation of the consumer as the proposer is preferred to the providers’ situation as proposer; the influence of resource availability study indicates a balanced situation is preferred to the scarcity and abundancy situations and the influence of matching algorithm indicates that DA outperforms Top Trading Cycle (TTC) algorithm as the matching algorithm of the mechanism.

KEYWORDS:

• Cloud manufacturing
• public cloud manufacturing market
• market design
• matching theory

Acknowledgement

The authors want to appreciate the precious comments of the editor and anonymous reviewers which enhanced and improved the quality and robustness of this paper.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Data availability statement

The data that support the findings of this study are available on request from the corresponding author. The data are not publicly available due to restrictions which they are containing information that could compromise the privacy of research firm participants.

Additional information

Notes on contributors

Jalal Delaram

Dr. Jalal Delaram is a Ph.D. in Industrial Engineering. Priore to his Ph.D., he achieved his B.Sc. and M.Sc. in Industrial Engineering from Sharif University of Technology. His area of research includes, Game Theory and Goal programming in Cloudl Manufacturing systems and their market design.

Mahmoud Houshamand

Mahmoud Houshamand is a Professor of Industrial Engineering in the Department of Industrial Engineering at Sharif University of Technology. His expertise is in area of advanced Manufacturing systems. He received his PhD in Advanced Manufacturing Systems from University of Manchester Institute of Science and Technology in 1982 as well as his M.Sc. in 1977.

Farid Ashtiani

Farid Ashtiani is an Associate professor of Electrical engineering in the Department of Electrical Engineering in the Sharif University of Technology. His area of expertise includes Analysis of Stable Throughput and Delay for Wireless Communication Networks, Energy Harvesting, and Wireless Network Virtualisation. He teaches graduate course like Stochastic Modeling in Communication Networks and Game Theory.

Omid Fatahi Valilai

Dr. Omid Fatahi Valilai is a University Lecturer in Industrial Engineering, School of Business, Social & Decision Sciences, Jacobs University Bremen since October, 1st, 2019. Formerly, He was an Associate Professor of Industrial Engineering at Sharif University of Technology since 2013. His expertise is in area of Computer Integrated Manufacturing and Cloud Based supply chain.