Management of the Design Process: Human Resource Allocation in Factories of the Future

Propagating crowdsourcing services via a wireless network can be an appropriate solution to using the potential of crowds in crisis management processes. The present study aimed to deploy crowdsourcing services properly to spatial urgent requests. Composing such atomic services can conquer sophisticated crisis management. In addition, the conducted propagated services guide people through crisis fields and allow managers to use crowd potential appropriately. The use of such services requires a suitable automated allocation method, along with a proper approach to arranging the sequence of propagating services. The solution uses a mathematical framework in the context of a GIS (Geospatial Information System) in order to construct an allocation approach. Solution elements are set out in a multi-agent environment structure, which simulate disaster field objects. Agents which are dynamically linked to objects in a crisis field, interact with each other in a competitive environment, and the results in forming crowdsourcing services are used to guide crowds in the crisis field via the crowdsourcing services. The present solution was implemented through a proper data schema in a powerful geodatabase, along with various users with specialized interfaces. Finally, a solution and crowdsourcing service was tested in the context of a GIS in the 2019 Aqala flood disaster in Iran and other complement scenarios. The allocating performance and operation of other system elements were acceptable and reduced indicators, such as rescuer fatigue and delay time. Crowdsourcing service was positioned well in the solution and provided good performance among the elements of the Geospatial Information System.

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“…Some new concepts declined resource allocation stiffly to production management [30]. Emergency situations are not emphasized.…”

Section: Methodsmentioning

confidence: 99%

Flood Management in Aqala through an Agent-Based Solution and Crowdsourcing Services in an Enterprise Geospatial Information System

Eivazy

Malek

2019

IJGI

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“…The gateway has been practically used in the environmental pollution detection and prevention of the Rongshan River. With the continuous development of the Internet of Things technology, smart and environmental protection industry applications will incorporate more new technologies, and the architecture system in actual applications will also continue to develop and improve [20][21][22].…”

Section: Related Workmentioning

confidence: 99%

[Retracted] Social Governance Structure Construction and Resource Allocation Methods under the Management Mode of the Internet of Things

Zhou

2021

Wireless Communications and Mobile Computing

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Aiming at the problems in the social governance structure level under the management mode of the Internet of Things, this paper designs a network agent based on the idea of service grid construction that has the functions of service resource configuration discovery, load balancing, and protocol conversion. Using it as a service governance infrastructure reduces the coupling between business services and service governance, and the network agent will intercept the service call traffic within the platform to achieve cross-protocol and cross-frame service communication. Through the proposed global query decomposition strategy and algorithm, a global query mapping is realized, which solves the problem of global query decomposition based on the global data model. We designed the unified management mechanism of two commonly used IoT databases based on XML. This process involves the realization of heterogeneous Internet of Things database resource configuration, data mode conversion, and global query mapping. Among them, in the process of data schema conversion, the conflict of the data in the schema mapping is resolved, the XML Schema is generated, the schema mapping metadata is established, and the XML document of the data is generated. We build a framework for optimal allocation of cloud computing resources based on load forecasting and propose an adaptive elastic control system for resource allocation based on resource status monitoring and demand forecasting. In view of the low resource utilization problem caused by the resource management mode of single virtual machine serving single user adopted by Internet of Things service providers, this paper constructs a new public cloud architecture with a five-layer structure. On the basis of this architecture, an adaptive configuration mode of virtualized resources based on a single virtual machine serving multiple users is proposed. This mode can automatically search for optimal virtualization resources for application resource requests made by different users and run different applications on the same virtual machine without affecting the quality of service, so that IoT providers can guarantee services. At the same time, it improves the utilization efficiency of IoT resources and reduces energy consumption.

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“…The company's development is driven by the issue of human resource allocation, regardless of the company's historical development process or current development needs. Therefore, the problem of human resource allocation in the company has been a subject of general concern for research by theorists and practitioners in the field of management [1][2][3]. Whether in Western industrialized countries or developing countries with less developed economies, people have not come up with better human resource allocation strategies.…”

Section: Introductionmentioning

confidence: 99%

Research on the Application of MA Algorithm in the Optimization of Human Resource Allocation in Enterprises

Liang,

Liu

2024

Applied Mathematics and Nonlinear Sciences

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MA algorithms have received extensive attention from scholars soon after they were proposed, and are rapidly developing in various fields such as the problem of project schedule and the optimal allocation of cloud resources. In this paper, firstly, to address the lack of performance of the ordinary MA algorithm, Kent chaotic mapping is used in the initialization position to improve the initial traversal ability, and Sigmoid function is introduced to optimize the step-size settings in different stages of the crawling process. Different test functions are chosen to compare the efficiency of the solution and verify the performance of the improved MA algorithm. Finally, the improved MA algorithm is applied to allocate human resources in a city called China Mobile and a multi-project environment. Searching for the optimal solution and solving for the optimal value is the strongest performance of the improved MA algorithm compared to the other three algorithms. The human resource balance metrics of a city China Mobile are optimized and the peak human resource demand reaches the project below 120, reducing the waste of resources by about 20 people. In a multi-project environment, where 4 employees perform four different tasks, the optimal solution was found, resulting in an improvement in profitability.

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Management of the Design Process: Human Resource Allocation in Factories of the Future

Cited by 10 publications

References 12 publications

Flood Management in Aqala through an Agent-Based Solution and Crowdsourcing Services in an Enterprise Geospatial Information System

Flood Management in Aqala through an Agent-Based Solution and Crowdsourcing Services in an Enterprise Geospatial Information System

[Retracted] Social Governance Structure Construction and Resource Allocation Methods under the Management Mode of the Internet of Things

Research on the Application of MA Algorithm in the Optimization of Human Resource Allocation in Enterprises

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