AnalysingCausal dependencies of composite service resilience in cloud manufacturing using resource-based theory and DEMATEL method

These years, a new networked manufacturing mode named cloud manufacturing is arising. Cloud manufacturing comprehensively uses various information technology, manufacturing technology and management technology, through virtualization and servitization of manufacturing hardware and software resources. CloudM is to provide user with on-demand, always-ready, high-quality and low-consumption service, which is available from product design, manufacturing, testing, simulation and maintenance and other manufacturing lifecycle process. Service composition is one of the key issues in implementing CloudM system. In this paper, an adaptive ant algorithms have been proposed, which In hadoop environment to optimize the use of composite service execution path. As the experimental result shown, this method can effectively avoid the congestion of data on the critical path.

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Equilibrial service composition model in Cloud manufacturing (ESCM) based on non-cooperative and cooperative game theory for healthcare service equipping

PeerJ Computer Science ◽

10.7717/peerj-cs.410 ◽

2021 ◽

Vol 7 ◽

pp. e410

Author(s):

Ehsan Vaziri Goudarzi ◽

Mahmoud Houshmand ◽

Omid Fatahi Valilai ◽

Vahidreza Ghezavati ◽

Shahrooz Bamdad

Keyword(s):

Game Theory ◽

Information And Communication Technologies ◽

Cooperative Game ◽

Real World ◽

Service Composition ◽

Industry 4.0 ◽

Healthcare Service ◽

Manufacturing System ◽

Cloud Manufacturing ◽

Composite Service

Industry 4.0 is the digitalization of the manufacturing systems based on Information and Communication Technologies (ICT) for developing a manufacturing system to gain efficiency and improve productivity. Cloud Manufacturing (CM) is a paradigm of Industry 4.0. Cloud Manufacturing System (CMS) considers anything as a service. The end product is developed based on the service composition in the CMS according to consumers’ needs. Also, composite services are developed based on the interaction of MCS providers from different geographical locations. Therefore, the appropriate Manufacturing Cloud Service (MCS) composition is an important problem based on the real-world conditions in CMS. The game theory studies the mathematical model development based on interactions between MCS providers according to real-world conditions. This research develops an Equilibrial Service Composition Model in Cloud Manufacturing (ESCM) based on game theory. MCS providers and consumers get benefits mutually based on ESCM. MCS providers are players in the game. The payoff function is developed based on a profit function. Also, the game strategies are the levels of Quality of Service (QoS) based on consumers’ needs in ESCM. Firstly, the article develops a composite service based on a non-cooperative game. The Nash equilibrium point demonstrates the QoS value of composite service and the payoff value for the players. Secondly, the article develops a composite service based on a cooperative game. The players participate in coalitions to develop the composite service based on formal cooperation. The grand coalition demonstrates the QoS value of composite service and the payoff value for the players in the cooperative game. The research has compared the games’ results. The players’ payoff and the QoS value are better in the cooperative game than in the non-cooperative game. Therefore, the MCS providers and consumers are satisfied mutually in the cooperative game based on ESCM. Finally, the article has applied ESCM in a Healthcare Service to equip 24 hospitals in the best time.

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Research of Cloud Manufacturing Execution Path Optimization Based on Adaptive Ant Colony Algorithm on Hadoop Platform

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.628.417 ◽

2014 ◽

Vol 628 ◽

pp. 417-420 ◽

Cited By ~ 2

Author(s):

Zhi Gao Chen

Keyword(s):

Ant Colony Algorithm ◽

Critical Path ◽

Cloud Manufacturing ◽

Experimental Result ◽

Composite Service ◽

Execution Path ◽

Manufacturing Service Composition ◽

Hadoop Platform ◽

Manufacturing Resources ◽

Computational Resources

Cloud Manufacturing is developed in the cloud computing, which is based on the idea of "Made in service" recently. As execution of manufacturing resources is more complicated than computational resources the service combination execution reliability becomes a mandatory considering problem in cloud manufacturing. In this paper we present a cloud manufacturing service composition method considering execution reliability based on adaptive ant algorithm, which in hadoop environment to optimize the use of composite service execution path to save the costs. As the experimental result shown, this method can effectively avoid the congestion of data on the critical path.

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Cloud Logistics Path Optimization Based on Ant Colony Algorithm

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.722.442 ◽

2014 ◽

Vol 722 ◽

pp. 442-445

Author(s):

Zhi Gao Chen

Keyword(s):

Ant Colony Algorithm ◽

Cloud Manufacturing ◽

Ant Algorithm ◽

Composite Service ◽

Execution Path ◽

Logistics Mode ◽

Manufacturing Service Composition ◽

Manufacturing Resources ◽

Manufacturing Mode ◽

Made In

Cloud Manufacturing is developed in the cloud computing, which is based on the idea of "Made in service" recently. Cloud manufacturing mode connect all sorts of manufacturing resources and capability together and form standard manufacturing services which customers can obtain according to their demand at any time. Logistics mode should coincide with manufacturing mode for the certain correlation between logistics and manufacturing process,so the production and development of cloud manufacturing mode had the logistics mode reformed. In this paper we present a cloud manufacturing service composition method considering execution reliability based on ant algorithm, to optimize the use of composite service execution path to save the costs.

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Research on Service Selection Approach Based on Composite Service Execution Information

Chinese Journal of Computers ◽

10.3724/sp.j.1016.2008.01398 ◽

2009 ◽

Vol 31 (8) ◽

pp. 1398-1411 ◽

Cited By ~ 6

Author(s):

Ming-Wei ZHANG ◽

Wei-Jie WEI ◽

Bin ZHANG ◽

Xi-Zhe ZHANG ◽

Zhi-Liang ZHU

Keyword(s):

Service Selection ◽

Composite Service ◽

Service Execution ◽

Selection Approach

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Bank Merger in Mexico Post Crisis 1994, Under the Vision of the Resource-Based Theory

SSRN Electronic Journal ◽

10.2139/ssrn.2220010 ◽

2013 ◽

Author(s):

José G. Vargas-Hernández

Keyword(s):

Bank Merger ◽

Resource Based Theory

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Strategic resources and smallholder performance at the bottom of the pyramid

International Food and Agribusiness Management Review ◽

10.22434/ifamr2018.0111 ◽

2019 ◽

Vol 22 (3) ◽

pp. 365-380 ◽

Cited By ~ 1

Author(s):

Matthias Olthaar ◽

Wilfred Dolfsma ◽

Clemens Lutz ◽

Florian Noseleit

Keyword(s):

Large Scale ◽

Business Environment ◽

Agricultural Economics ◽

Local Market ◽

Bottom Of The Pyramid ◽

Fine Grained ◽

Strategic Resources ◽

Relative Contribution ◽

The Relationship ◽

Resource Based Theory

In a competitive business environment at the Bottom of the Pyramid smallholders supplying global value chains may be thought to be at the whims of downstream large-scale players and local market forces, leaving no room for strategic entrepreneurial behavior. In such a context we test the relationship between the use of strategic resources and firm performance. We adopt the Resource Based Theory and show that seemingly homogenous smallholders deploy resources differently and, consequently, some do outperform others. We argue that the ‘resource-based theory’ results in a more fine-grained understanding of smallholder performance than approaches generally applied in agricultural economics. We develop a mixed-method approach that allows one to pinpoint relevant, industry-specific resources, and allows for empirical identification of the relative contribution of each resource to competitive advantage. The results show that proper use of quality labor, storage facilities, time of selling, and availability of animals are key capabilities.

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