scholarly journals Modeling the impact of threats and vulnerabilities in transport logistics of a developing enterprise

2021 ◽  
pp. 29-36
Author(s):  
Oleg Fedorovich ◽  
Yurii Pronchakov ◽  
Yuliia Leshchenko ◽  
Alina Yelizieva
Keyword(s):  
Optimization Problems ◽  
Cost Minimization ◽  
Mathematical Methods ◽  
Agent Based ◽  
Agent Model ◽  
Event Modeling ◽  
Goods Movement ◽  
The Cost ◽  
Distributed Production ◽  
The Impact

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.

Optimization problems for ensuring ecological safety of main oil pipelines

2020 ◽  
Vol 10 (3) ◽  
pp. 293-299
Author(s):  
Аdam М. Gonopolsky ◽  
◽  
Тatyana V. Zinets ◽  
Keyword(s):  
Optimization Problems ◽  
Economic Security ◽  
Main Pipelines ◽  
Oil Pipelines ◽  
Environmental Technologies ◽  
Goal Functions ◽  
The Cost ◽  
Stochastic Reliability ◽  
State Of The Environment ◽  
The Impact

This article is devoted to the search for optimal conditions for environmental and economic security of oil main pipelines using classical calculus of variations. The goal functions here are either stochastic reliability criteria for deterministic parametric criteria, or parametric criteria for specified reliability criteria. The functions of the optimization process are environmental and technological indicators of the system, taking into account the characteristics of oil pipelines or a set of measures to improve their reliability. The arguments are environmental and economic indicators that reflect the impact of control actions on the state of the environment and on the level of costs for the implementation of proposals. The formulation and study of the variational problem showed that only the introduction of environmental technologies and structures can minimize the cost of ensuring the safety of the impact of oil main pipelines on the host ecosystem.

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
Keyword(s):  
System Performance ◽  
Simulation Method ◽  
Production Model ◽  
Organizational Strategy ◽  
Organizational Strategies ◽  
Agent Based ◽  
Agent Model ◽  
The Impact ◽  
Motorcycle Engine ◽  
Production Cell

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.

Relaxing Synchronization Constraints in Distributed Agent-based Simulations

2013 ◽  
Vol 63 (3) ◽  
Author(s):  
Omar Rihawi ◽  
Yann Secq ◽  
Philippe Mathieu
Keyword(s):  
Time Management ◽  
Large Scale ◽  
Computer Network ◽  
Population Level ◽  
Emergent Properties ◽  
Agent Based ◽  
Multi Agent ◽  
The Cost ◽  
The Impact ◽  
Synchronization Constraints

In the context of situated agents simulations, when the number of agents increases, the number of their interactions will be increased too. These growths leads to higher requirements in memory and computation power. When simulations involve millions of agents, it becomes necessary to distribute the simulator on a computer network. In this paper we study the impact of synchronization policies in such context. Our claim is that when millions of agents are used in a simulation, because observations of these complex systems is made at the population level, emergent properties at the macroscopic level should not be highly impacted if some failure appears at the microscopic level. This paper is focused on the study of the impact of synchronization relaxation in the context of large scale situated agents simulations. We evaluate the cost in performance of several synchronization policies and their impact on the macroscopic properties of simulations. To that aims, we study three different time management mechanisms and evaluate them on two multi-agent applications.

scholarly journals Comparison of epidemic control strategies using agent-based simulations

2020 ◽  
Author(s):  
Pablo Martínez Ruiz del Árbol ◽  
Lara Lloret Iglesias
Keyword(s):  
Control Strategies ◽  
Large Fraction ◽  
Small Population ◽  
Graph Database ◽  
Epidemic Control ◽  
Agent Based ◽  
Testing Strategies ◽  
Basic Parameters ◽  
The Cost ◽  
The Impact

AbstractA simulation of the dynamics of a small population is used to assess the impact of different confinement and testing strategies in the control of an epidemic. The simulation considers individuals as agents moving randomly across the habitat according to predefined urban patterns. Agents carry a simple tracing device that identifies signals emitted by other agents, recording the position and time of the encounter. The information of every device is propagated daily to an epidemic observatory based on an online graph database. Infections are simulated as stochastic processes depending on the proximity among individuals. Different epidemic control strategies are tested with and without the information of the tracing device under several scenarios. We observe that the success of the strategies strongly depends on the duration of the period of infectiousness before the presence of symptoms and the fraction of asymptomatic agents. If these values are high, strategies based on the presence of symptoms or on testing campaigns can hardly contain the epidemic. Strategies using massive confinement of the agents are able to control the epidemic at the cost of sending a large fraction of the population into quarantine. In cases with moderate and low values for these parameters, the tracing devices can provide a slightly better performance but only if a large fraction of the agents carry the device. Otherwise, the impact of these devices is found to be negligible in comparison with other strategies not using them. Finally, we provide a methodology allowing to use the information of the graph database to estimate basic parameters of the disease such as the infection probability.

scholarly journals Cost Minimization of Aircraft Critical Components for Planning and Maintenance Requirements

2020 ◽  
Vol 12 (7) ◽  
Author(s):  
Fatin Hamizah Abdol Rahim ◽  
◽  
Norliza Mohd Noor ◽  
Haslaile Abdullah ◽  
Bayram Annanurov ◽  
...  
Keyword(s):  
Optimization Model ◽  
Current Problem ◽  
Cost Minimization ◽  
Minimum Cost ◽  
Spare Parts ◽  
Machine Learning Techniques ◽  
Optimum Level ◽  
Critical Components ◽  
The Cost ◽  
The Impact

Spare parts management of the aircrafts is a part of maintenance planning that requires effective and efficient planning in order to reduce aircraft downtime in maintenance processes. Spare parts unavailability during maintenance is one of the factors that affects operational availability of the aircrafts fleet. This study focused on identifying the current problem affecting operational availability of the aircrafts fleet, developing an optimization model for cost minimization of spare parts and assessing the impact on spare parts availability using the cost minimization optimization model. Data analysis using machine learning techniques in WEKA was used to identify the current problem that is affecting aircrafts fleet operational availability. Then, Linear Integer Programming (LIP) and Goal Programming (GP) methods were used to develop the cost minimization optimization model by considering the current stock level of the critical components and the budget constrain. From this study, we discovered that spare parts unavailability during maintenance was the biggest contributing factor to the operational availability of the aircrafts fleet. Besides that, the cost minimization optimization model developed in the research had produced optimum level of inventory for the critical components with minimum cost. Spare parts availability for the aircrafts fleet had been improved with the application of the model which directly maximizes the operational availability of the aircraft fleet.

Service Provisioning for Multi-source IoT Applications in Mobile Edge Computing

2022 ◽  
Vol 18 (2) ◽  
pp. 1-25
Author(s):  
Jing Li ◽  
Weifa Liang ◽  
Zichuan Xu ◽  
Xiaohua Jia ◽  
Wanlei Zhou
Keyword(s):  
Minimization Problem ◽  
Optimization Problems ◽  
Cost Minimization ◽  
Edge Computing ◽  
Service Provisioning ◽  
Mobile Edge Computing ◽  
Iot Applications ◽  
Iot Devices ◽  
Cost Minimization Problem ◽  
The Cost

We are embracing an era of Internet of Things (IoT). The latency brought by unstable wireless networks caused by limited resources of IoT devices seriously impacts the quality of services of users, particularly the service delay they experienced. Mobile Edge Computing (MEC) technology provides promising solutions to delay-sensitive IoT applications, where cloudlets (edge servers) are co-located with wireless access points in the proximity of IoT devices. The service response latency for IoT applications can be significantly shortened due to that their data processing can be performed in a local MEC network. Meanwhile, most IoT applications usually impose Service Function Chain (SFC) enforcement on their data transmission, where each data packet from its source gateway of an IoT device to the destination (a cloudlet) of the IoT application must pass through each Virtual Network Function (VNF) in the SFC in an MEC network. However, little attention has been paid on such a service provisioning of multi-source IoT applications in an MEC network with SFC enforcement. In this article, we study service provisioning in an MEC network for multi-source IoT applications with SFC requirements and aiming at minimizing the cost of such service provisioning, where each IoT application has multiple data streams from different sources to be uploaded to a location (cloudlet) in the MEC network for aggregation, processing, and storage purposes. To this end, we first formulate two novel optimization problems: the cost minimization problem of service provisioning for a single multi-source IoT application, and the service provisioning problem for a set of multi-source IoT applications, respectively, and show that both problems are NP-hard. Second, we propose a service provisioning framework in the MEC network for multi-source IoT applications that consists of uploading stream data from multiple sources of the IoT application to the MEC network, data stream aggregation and routing through the VNF instance placement and sharing, and workload balancing among cloudlets. Third, we devise an efficient algorithm for the cost minimization problem built upon the proposed service provisioning framework, and further extend the solution for the service provisioning problem of a set of multi-source IoT applications. We finally evaluate the performance of the proposed algorithms through experimental simulations. Simulation results demonstrate that the proposed algorithms are promising.

Demonstrating Nutrient Cost Gradients: A Brooklyn Case Study

2014 ◽  
Vol 84 (5-6) ◽  
pp. 244-251 ◽  
Author(s):  
Robert J. Karp ◽  
Gary Wong ◽  
Marguerite Orsi
Keyword(s):  
Low Income ◽  
Energy Content ◽  
Food Selection ◽  
The United States ◽  
United States Department ◽  
Micronutrient Deficiencies ◽  
Caloric Density ◽  
Low Income Families ◽  
The Cost ◽  
The Impact

Abstract. Introduction: Foods dense in micronutrients are generally more expensive than those with higher energy content. These cost-differentials may put low-income families at risk of diminished micronutrient intake. Objectives: We sought to determine differences in the cost for iron, folate, and choline in foods available for purchase in a low-income community when assessed for energy content and serving size. Methods: Sixty-nine foods listed in the menu plans provided by the United States Department of Agriculture (USDA) for low-income families were considered, in 10 domains. The cost and micronutrient content for-energy and per-serving of these foods were determined for the three micronutrients. Exact Kruskal-Wallis tests were used for comparisons of energy costs; Spearman rho tests for comparisons of micronutrient content. Ninety families were interviewed in a pediatric clinic to assess the impact of food cost on food selection. Results: Significant differences between domains were shown for energy density with both cost-for-energy (p < 0.001) and cost-per-serving (p < 0.05) comparisons. All three micronutrient contents were significantly correlated with cost-for-energy (p < 0.01). Both iron and choline contents were significantly correlated with cost-per-serving (p < 0.05). Of the 90 families, 38 (42 %) worried about food costs; 40 (44 %) had chosen foods of high caloric density in response to that fear, and 29 of 40 families experiencing both worry and making such food selection. Conclusion: Adjustments to USDA meal plans using cost-for-energy analysis showed differentials for both energy and micronutrients. These differentials were reduced using cost-per-serving analysis, but were not eliminated. A substantial proportion of low-income families are vulnerable to micronutrient deficiencies.

TRANSFER FİYATLAMA UYGULAMASININ İŞLETME PERFORMANSINA ETKİSİ VE VERGİSEL AÇIDAN DEĞERLENDİRİLMESİ

2014 ◽  
Vol 1 (2) ◽  
pp. 187
Author(s):  
Serdar KUZU
Keyword(s):  
Business Performance ◽  
Transfer Pricing ◽  
Tax Law ◽  
Economic Activities ◽  
Tax System ◽  
Goods And Services ◽  
Tax Legislation ◽  
International Transactions ◽  
The Cost ◽  
The Impact

The size of international trade continues to extend rapidly from day to day as a result of the globalization process. This situation causes an increase in the economic activities of businesses in the trading area. One of the main objectives of the cost system applied in businesses is to be able to monitor the competitors and the changes that can be occured as a result of the developments in the sector. Thus, making cost accounting that is proper according to IAS / IFRS and tax legislation has become one of the strategic targets of the companies in most countries. In this respect, businesses should form their cost and pricing systems according to new regulations. Transfer pricing practice is usefull in setting the most proper price for goods that are subject to the transaction, in evaluating the performance of the responsibility centers of business, and in determining if the inter-departmental pricing system is consistent with targets of the business. The taxing powers of different countries and also the taxing powers of different institutions in a country did not overlap. Because of this reason, bringing new regulations to the tax system has become essential. The transfer pricing practice that has been incorporated into the Turkish Tax System is one of the these regulations. The transfer pricing practice which includes national and international transactions has been included in the Corporate Tax Law and Income Tax Law. The aim of this study is to analyse the impact of goods and services transfer that will occur between departments of businesses on the responsibility center and business performance, and also the impact of transfer pricing practice on the business performance on the basis of tax-related matters. As a result of the study, it can be said that transfer pricing practice has an impact on business performance in terms of both price and tax-related matters.

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