A Comparative Simulation of Organizational Strategies in Production Cells Based on Agent Model

2011 ◽  
Vol 186 ◽  
pp. 489-493
Author(s):  
Xiao Dong Zhang ◽  
Tian Yu ◽  
Xun De Xie ◽  
Dong Fang Zhao

In order to simulate the impact of organizational strategy on production cell, agent model of workers was developed and integrated into the production model. An agent-based human-machine collabrative simulation method for production cells was proposed. Structure and modeling steps of the simulation were studied, the proposed simulation method was applied in a motorcycle engine box production cell, and the system performance under the two different organizational strategies ‘specialized division of labor’ and ‘multi-skill team’ was compared. The results indicate that the agent-based simulation method can simulate the organizational strategy in production cells, and provide a new way to study affecting mechanism of different organizational strategies on prodution cells.

Author(s):  
Oleg Fedorovich ◽  
Yurii Pronchakov ◽  
Yuliia Leshchenko ◽  
Alina Yelizieva

A scientific and appliedproblem of modeling the impact of threats and vulnerabilities in the logistics of transportation of goods of a distributed production system was posed and solved. The relevance of the research topic is associated with the identification of significant threats and the emergence of vulnerabilities, which can lead to deterioration in the main indicators of a developing enterprise. The research solves of the task of increasing of logistic processes effectiveness of goods transportation in a distributed manufacturing system in emerging threats and manifestation of vulnerability conditions. A set of possible threats is analyzed and formed, which influence goods transportation in a heterogeneous transport system of distributed manufacture. A virtual experiment method is proposed for using the experts' opinions regarding the identification of threat factors using a developed multifactorial and multi-response experimental plan, where lines represent the factors and a combination of threat factors, and the columns are associated with possible threats. A manifestation of vulnerabilities risks and emerging threats is used as responses. A regressive dependence to identify the most important threat factors is formed.The cost indicators are used for solving optimization problems, which connected with vulnerability removal, the time of events to vulnerabilities neutralization and risks of threat emergence. The cost minimization associated with the removal (neutralization) of vulnerabilities that may appear when threats emerge. The agent model for simulation and event modeling of a logistic of transportation in a distributed manufacture in conditions of threat factors and vulnerability emergence is proposed. Agent-based modeling allows you to determine the time of goods movement without vulnerability emergence and time of goods movement with vulnerability emergence using possible risk generator. Mathematical methods used systems analysis, the theory of experiments planning, integer (Boolean) programming, agent-based and event modeling.


2020 ◽  
pp. 196-196
Author(s):  
Milos Simonovic ◽  
Aleksandra Cvetkovic ◽  
Jelena Manojlovic ◽  
Vlastimir Nikolic

The development of Internet of Things (IoT) devices as well as the increase of nodes in wireless networks, motivates the use of node?s cooperation for wireless system performance improvement. On the other hand, the power requirements of the increasing number of nodes leads to the need for new powering sources. In this paper we consider device-to-device (D2D) relay-assisted system, where decode-and-forward (DF) relay is not equipped with its own power supply, but it harvests energy and uses it for the data transfer to the destination node. System performance is derived for the Fisher-Snedecor F composite fading channel model and energy harvesting protocol based on time-switching scheme. The closed-form approximate expression for the outage probability is derived, that corresponds to the exact results. The impact of the channel fading and shadowing parameters and time-switching factor of energy harvesting protocol on the system performances are investigated. Numerical results are confirmed by an independent simulation method.


2012 ◽  
Vol 43 (1-2) ◽  
pp. 54-63 ◽  
Author(s):  
Baohong Lu ◽  
Huanghe Gu ◽  
Ziyin Xie ◽  
Jiufu Liu ◽  
Lejun Ma ◽  
...  

Stochastic simulation is widely applied for estimating the design flood of various hydrosystems. The design flood at a reservoir site should consider the impact of upstream reservoirs, along with any development of hydropower. This paper investigates and applies a stochastic simulation approach for determining the design flood of a complex cascade of reservoirs in the Longtan watershed, southern China. The magnitude of the design flood when the impact of the upstream reservoirs is considered is less than that without considering them. In particular, the stochastic simulation model takes into account both systematic and historical flood records. As the reliability of the frequency analysis increases with more representative samples, it is desirable to incorporate historical flood records, if available, into the stochastic simulation model. This study shows that the design values from the stochastic simulation method with historical flood records are higher than those without historical flood records. The paper demonstrates the advantages of adopting a stochastic flow simulation approach to address design-flood-related issues for a complex cascade reservoir system.


Water ◽  
2021 ◽  
Vol 13 (11) ◽  
pp. 1540
Author(s):  
Qianqian Ji ◽  
Zhe Gao ◽  
Xingyao Li ◽  
Jian’en Gao ◽  
Gen’guang Zhang ◽  
...  

The Loess Hilly–Gully region (LHGR) is the most serious soil erosion area in the world. For the small watershed with high management in this area, the scientific problem that has been paid attention to in recent years is the impact of the land consolidation project on the erosion environment in the gully region. In this study, the 3D simulation method of vegetation, eroded sediment and pollutant transport was innovated based on the principles of erosion sediment dynamics and similarity theory, and the impacts of GLCP were analyzed on the erosion environment at different scales. The verification results show that the design method and the scale conversion relationship (geometric scale: λl = 100) were reasonable and could simulate the transport process on the complex underlying surface of a small watershed. Compared with untreated watersheds, a significant change was the current flood peak lagging behind the sediment peak. There were two important critical values of GLCP impact on the erosion environment. The erosion transport in HMSW had no change when the proportion was less than 0.85%, and increased obviously when it was greater than 3.3%. The above results have important theoretical and practical significance for watershed simulation and land-use management in HMSW.


Pharmaceutics ◽  
2021 ◽  
Vol 13 (7) ◽  
pp. 996
Author(s):  
Niels Lasse Martin ◽  
Ann Kathrin Schomberg ◽  
Jan Henrik Finke ◽  
Tim Gyung-min Abraham ◽  
Arno Kwade ◽  
...  

In pharmaceutical manufacturing, the utmost aim is reliably producing high quality products. Simulation approaches allow virtual experiments of processes in the planning phase and the implementation of digital twins in operation. The industrial processing of active pharmaceutical ingredients (APIs) into tablets requires the combination of discrete and continuous sub-processes with complex interdependencies regarding the material structures and characteristics. The API and excipients are mixed, granulated if required, and subsequently tableted. Thereby, the structure as well as the properties of the intermediate and final product are influenced by the raw materials, the parametrized processes and environmental conditions, which are subject to certain fluctuations. In this study, for the first time, an agent-based simulation model is presented, which enables the prediction, tracking, and tracing of resulting structures and properties of the intermediates of an industrial tableting process. Therefore, the methodology for the identification and development of product and process agents in an agent-based simulation is shown. Implemented physical models describe the impact of process parameters on material structures. The tablet production with a pilot scale rotary press is experimentally characterized to provide calibration and validation data. Finally, the simulation results, predicting the final structures, are compared to the experimental data.


2021 ◽  
Vol 13 (8) ◽  
pp. 195
Author(s):  
Akash Gupta ◽  
Adnan Al-Anbuky

Hip fracture incidence is life-threatening and has an impact on the person’s physical functionality and their ability to live independently. Proper rehabilitation with a set program can play a significant role in recovering the person’s physical mobility, boosting their quality of life, reducing adverse clinical outcomes, and shortening hospital stays. The Internet of Things (IoT), with advancements in digital health, could be leveraged to enhance the backup intelligence used in the rehabilitation process and provide transparent coordination and information about movement during activities among relevant parties. This paper presents a post-operative hip fracture rehabilitation model that clarifies the involved rehabilitation process, its associated events, and the main physical movements of interest across all stages of care. To support this model, the paper proposes an IoT-enabled movement monitoring system architecture. The architecture reflects the key operational functionalities required to monitor patients in real time and throughout the rehabilitation process. The approach was tested incrementally on ten healthy subjects, particularly for factors relevant to the recognition and tracking of movements of interest. The analysis reflects the significance of personalization and the significance of a one-minute history of data in monitoring the real-time behavior. This paper also looks at the impact of edge computing at the gateway and a wearable sensor edge on system performance. The approach provides a solution for an architecture that balances system performance with remote monitoring functional requirements.


Safety ◽  
2021 ◽  
Vol 7 (2) ◽  
pp. 47
Author(s):  
Wattana Chanthakhot ◽  
Kasin Ransikarbum

Emergency events in the industrial sector have been increasingly reported during the past decade. However, studies that focus on emergency evacuation to improve industrial safety are still scarce. Existing evacuation-related studies also lack a perspective of fire assembly point’s analysis. In this research, location of assembly points is analyzed using the multi-criteria decision analysis (MCDA) technique based on the integrated information entropy weight (IEW) and techniques for order preference by similarity to ideal solution (TOPSIS) to support the fire evacuation plan. Next, we propose a novel simulation model that integrates fire dynamics simulation coupled with agent-based evacuation simulation to evaluate the impact of smoke and visibility from fire on evacuee behavior. Factors related to agent and building characteristics are examined for fire perception of evacuees, evacuees with physical disabilities, escape door width, fire location, and occupancy density. Then, the proposed model is applied to a case study of a home appliance factory in Chachoengsao, Thailand. Finally, results for the total evacuation time and the number of remaining occupants are statistically examined to suggest proper evacuation planning.


Sign in / Sign up

Export Citation Format

Share Document