Cloud Kanban Framework for Service Operations Management

Krishnaiyer, Krishnan; Chen, F. Frank; Bouzary, Hamed

doi:10.1016/j.promfg.2018.10.093

Cited by 20 publications

(16 citation statements)

References 38 publications

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“…Cyber risk can be defined as a function of 3 parameters: (i) Impact expresses the level of damage that a given risk may cause; (ii) Threat expresses whether or not a given risk can occur; (iii) Vulnerability expresses whether or not existing information security measures are effective [3,4]. New technological advances in every sectors, such as cloud manufacturing [5], industry 4.0 [6] and realtime service composition [7] has opened a new horizon into the cyber world with a new type of risk that was unknown beforehand.…”

Section: Risk Managementmentioning

confidence: 99%

A Web Platform for Integrated Vulnerability Assessment and Cyber Risk Management

et al. 2019

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Cyber risk management is a very important problem for every company connected to the internet. Usually, risk management is done considering only Risk Analysis without connecting it with Vulnerability Assessment, using external and expensive tools. In this paper we present CYber Risk Vulnerability Management (CYRVM)-a custom-made software platform devised to simplify and improve automation and continuity in cyber security assessment. CYRVM's main novelties are the combination, in a single and easy-to-use Web-based software platform, of an online Vulnerability Assessment tool within a Risk Analysis framework following the NIST 800-30 Risk Management guidelines and the integration of predictive solutions able to suggest to the user the risk rating and classification.

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Section: Risk Managementmentioning

confidence: 99%

A Web Platform for Integrated Vulnerability Assessment and Cyber Risk Management

et al. 2019

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“…Through equations (12)(13)(14) below, alpha, beta, and delta estimate the position of the prey, and other wolves update their positions randomly about the prey [25].…”

Section: Huntingmentioning

confidence: 99%

“…Solving a combinatorial optimization problem is very different from solving a problem with a continuous solution space. In a continuous search space, the search agents of GWO are able to update their position vectors according to the hunting process mimicked by equations (12)(13)(14). In a discrete space, however, the position of wolves cannot be updated likewise, since the position vectors can only take on discrete values.…”

Section: Embedded Evolutionary Operatorsmentioning

confidence: 99%

“…Cloud manufacturing (CMfg) has been proposed as the panacea to implement this groundbreaking idea in recent years. Nonetheless, to fully achieve this goal, there remains significant issues with regard to enabling technologies [3][4][5][6][7], trust evaluation [8], task and resource description [9,10], scheduling [11][12][13] and service composition, among which the last one, is the key to offering composite services through the above-mentioned collaboration among partners. This has to be done by selecting the optimal resource for each sub-task out of the existing candidates at the resources pool and composing them to achieve the highest quality of service (QoS).…”

Section: Introductionmentioning

confidence: 99%

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Optimal composition of tasks in cloud manufacturing platform: a novel hybrid GWO-GA approach

Bouzary¹,

Chen²,

Shahin³

2019

Preprint

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Emerging cloud manufacturing paradigm aims towards providing highly integrated solutions via enabling cooperation between distributed manufacturing resources and capabilities. Implementation of this groundbreaking idea, however, is facing serious challenges springing from the currently centralized industrial structures. In order to help it make its way out, researchers have to address a number of pivotal issues in this regard. Service composition and optimal selection (SCOS), which tackles the problem of optimally selecting and combining available resources into a composite service is one of them. To deal with this NP-hard problem, we developed a novel hybrid algorithm based on the recentlyintroduced grey wolf optimizer (GWO) in which evolutionary operators are also embedded into the hunting mechanism of the basic algorithm.This approach not only makes it possible to adapt an algorithm with continuous structure such as GWO to solve a combinatorial problem such as SCOS, but also empowers it with providing higher exploration through crossover and mutation operators. Experiments conducted clearly proves the superior performance of the proposed algorithm over existing discrete variations of GWO and genetic algorithm, especially in large-scale SCOS problems.

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“…Applications such as Kanban and Six Sigma, which are used to increase productivity in production processes, are now combined with technology and contribute to the development and change of the enterprise. The concepts and applications that can be considered as old are brought to the top with new technological developments [1,2]. The most important effects of Industry 4.0 are the use of technology, production of big data architecture, and analysis of these data.…”

Section: Introductionmentioning

confidence: 99%

Analysis of the Difficulties of SMEs in Industry 4.0 Applications by Analytical Hierarchy Process and Analytical Network Process

2018

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The concept of Industry 4.0 is seen as a recent paradigm in the manufacturing sector. The use of new production and management technologies required by the concept of Industry 4.0 is very important for small enterprises in order to keep up with the competition. However, most enterprises look at these requirements in a negative way. This study analyzes the propulsion forces of Industry 4.0 adopted in small and medium enterprises. By analyzing the difficulties in the transition process of small and medium-sized enterprises (SMEs) to Industry 4.0, the company contributes to the determination of strategic steps taking these results into consideration. This will facilitate the transition of enterprises to Industry 4.0 and progress can be made towards efficient use of resources. A hierarchical structure was established under the four main criteria of innovation, organization, environmental, and financial aspects, and the relative weight of these criteria and sub-criteria were calculated. The surveys conducted on business managers were evaluated using multi-criteria decision-making methods by the analytic hierarchy process method and the analytic network process. At the same time, the interaction between these criteria was taken into consideration and the criteria were re-evaluated by the analytical network process method. The results of the two methods seem to support each other.

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Cloud Kanban Framework for Service Operations Management

Cited by 20 publications

References 38 publications

A Web Platform for Integrated Vulnerability Assessment and Cyber Risk Management

A Web Platform for Integrated Vulnerability Assessment and Cyber Risk Management

Optimal composition of tasks in cloud manufacturing platform: a novel hybrid GWO-GA approach

Analysis of the Difficulties of SMEs in Industry 4.0 Applications by Analytical Hierarchy Process and Analytical Network Process

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