scholarly journals Development of a simulation model of a cargo customs complex operation as a link of a logistic supply chain

2021 ◽  
Vol 5 (3 (113)) ◽  
pp. 19-29
Author(s):  
Alexander Mazurenko ◽  
Andrii Kudriashov ◽  
Iryna Lebid ◽  
Nataliia Luzhanska ◽  
Irina Kravchenya ◽  
...  
Keyword(s):  
Supply Chain ◽  
Simulation Model ◽  
Simulation Modeling ◽  
Random Number ◽  
Random Number Generators ◽  
Maximum Value ◽  
Proposed Model ◽  
Wide Range ◽  
Simulation Error ◽  
Optimal Type

The main link in the logistics supply chain is the cargo customs complex. It provides customs and logistics services to cargo owners during the export and import of goods, complex services, placement of goods in a customs warehouse and a temporary storage warehouse. To substantiate the choice of the optimal logistics supply chain and optimize the work of the cargo customs complex, it is proposed to use simulation modeling. The model of operation of the logistics chain and the cargo customs complex is presented in a general form. The proposed model is implemented in the GPSS World simulation automation package. Testing the simulation model involved checking its adequacy. Checking the adequacy of the simulation model, which showed the maximum value of the t-statistic of 1.424 with a critical value of 1.85, proved its compliance with the work of a real object. After completing the adequacy check, the simulation error was estimated, which was 3 % with an allowable 5 %, due to the presence of pseudo-random number generators in the simulation model. Thus, the simulation error is insignificant for this study. For the cargo customs complex, an example of the simulation results is given. Based on the results of simulation modeling, it is possible to determine: the optimal type of the logistics supply chain and the optimal structure of the cargo customs complex. A wide range of tasks that the proposed simulation model can solve is presented. Thus, the developed simulation model will make it possible to analyze and improve the modes of operation of the cargo customs complex. In addition, it will allow to get an informed decision regarding the use of a certain type of logistics supply chain

Theory, methodology and practice of regional strategic planning

2021 ◽  
Author(s):  
Ol'ga Babina
Keyword(s):  
Strategic Planning ◽  
Simulation Model ◽  
Simulation Modeling ◽  
Economic Agents ◽  
Modeling Technology ◽  
Wide Range ◽  
Regional Strategic Planning ◽  
Planning Processes ◽  
Rational Management

In the monograph, the region is presented as a complex, multilevel socio-economic system consisting of many heterogeneous, interacting economic entities of different levels (economic agents and markets, management, resources and economic processes), jointly organizing reproduction processes embedded in the economic space of the national economy on the local territory. Currently, the role of rational management of the socio-economic development of the region is increasing. In such conditions, it is advisable to use strategic planning, which, in turn, has increasingly been carried out using a simulation model. The simulation model in regional strategic planning allows government agencies to predict their activities in the presence of various controlled and uncontrolled factors of the external and internal environment. In this study, the list of principles of strategic planning focused on the processes of strategic planning of the region using the method of simulation modeling is supplemented. A methodology for organizing strategic planning processes at the meso-level using simulation modeling technology is proposed. For a wide range of readers interested in the problems of regional strategic planning.

scholarly journals Development of a simulation model of energy-saving system based on CCGT-110 and ABСM for energy and thermodynamic analysis

2021 ◽  
Vol 48 (3) ◽  
pp. 6-15
Author(s):  
L. V. Galimova ◽  
D. Z. Bayramov
Keyword(s):  
Simulation Model ◽  
Energy Saving ◽  
Thermodynamic Analysis ◽  
Simulation Modeling ◽  
Nonlinear Approximation ◽  
C Programming Language ◽  
Wide Range ◽  
C Programming ◽  
Scale Experiment ◽  
Manual Calculation

Objectives. Simulation modeling is increasingly being used for the study of complex economic, technical, biological, etc. systems. Such systems are characterized by multifactorial relationships of their functioning, nonlinear dependencies between system elements and stochasticity of their parameters, etc. The purpose of this work is to develop a simulation model based on the C# programming language for the energy-saving CCGT-110 and ABCM system based on the results of manual analysis according to the data of a full-scale experiment.Method. Methods of linear and nonlinear approximation, methods of energy and thermodynamic analysis, as well as methods of mathematical simulation modeling are used to develop the simulation model.Result.The result of this work is the developed software SAESS 3.0, which allows you to analyze the operation of the CCGT-110 and ABCM systems together and  separately  in  a  wide  range  of  parameters  and  in  real  time.  Conclusion.To  assess  the adequacy of the developed program, a comparative analysis of software and manual calculation was carried out. Deviations do not exceed an average of 3 %, which confirms the reliability of the simulation model.

Assessment of feasibility of placing the parking space of passenger cars on the basis of simulation modeling

2021 ◽  
pp. 65-73
Author(s):  
O. A. Kopylova ◽  
◽  
P. N. Mishkurov ◽  
A. A. Chetvergova ◽  
◽  
...  
Keyword(s):  
Simulation Model ◽  
Simulation Modeling ◽  
Economic Effect ◽  
Parking Space ◽  
Preliminary Assessment ◽  
Passenger Cars ◽  
Large Cities ◽  
The Road ◽  
Standard Values ◽  
Optimal Type

The article deals with the issues of assessing the development of parking systems of passenger cars in large cities based on the use of the simulation modeling method. With the help of AnyLogic software, a simulation model for evaluating the feasibility of parking space placement has been developed. The proposed simulation model simulates the movement of vehicles on a section of the road network (RN) and determines the number of cars that could not park due to the lack of parking spaces. Three calculators are built into the simulation model. The first calculator calculates the required number of parking spaces based on standard values, depending on the purpose of the object near which the parking space is planned. The second calculator allows you to determine the preliminary cost of the project, depending on the type of parking space. The third calculator evaluates the efficiency of the project, changes such indicators as the required number of cars, the average time spent by cars in the system under study, their average speed, the number of car stops. Using the developed model allows you to determine changes in the values of traffic flow indicators and choose the optimal type of parking space, based on a preliminary assessment of the expected economic effect.

A Colored Petri Net-based modeling method for supply chain inventory management

SIMULATION ◽  
2021 ◽  
pp. 003754972110387
Author(s):  
Maria Drakaki ◽  
Panagiotis Tzionas
Keyword(s):  
Supply Chain ◽  
Inventory Management ◽  
Petri Net ◽  
Simulation Modeling ◽  
Modeling Method ◽  
Operating Conditions ◽  
Supply Chain Performance ◽  
Colored Petri Net ◽  
Wide Range ◽  
The Impact

Supply chain planning and control approaches need to include a wide range of factors in order to optimize production. Supply chain simulation modeling has been identified as a potential methodology toward increasing the efficiency of current systems to this end. The purpose of this paper is to evaluate the impact of inventory management decisions on supply chain performance using a Colored Petri Net based simulation modeling method. The presented method uses hierarchical timed Colored Petri Nets to model inventory management in a multi-stage serial supply chain, under normal operating conditions, and under the presence of disruptions, for both traditional and information sharing configurations. Disruptions are introduced as canceled orders and canceled deliveries, in a time period. Supply chain performance has been evaluated, in the context of order variance amplification and stockout amplification. Validation of the method is done by comparing results obtained for the bullwhip effect with published literature results, as well as by state space analysis results.

scholarly journals True-Randomness and Pseudo-Randomness in Ring Oscillator-Based True Random Number Generators

2010 ◽  
Vol 2010 ◽  
pp. 1-13 ◽  
Author(s):  
Nathalie Bochard ◽  
Florent Bernard ◽  
Viktor Fischer ◽  
Boyan Valtchanov
Keyword(s):  
Simulation Model ◽  
Mathematical Analysis ◽  
Random Number ◽  
Statistical Tests ◽  
System Security ◽  
Ring Oscillator ◽  
Post Processing ◽  
Random Number Generators ◽  
Entropy Reduction ◽  
The One

The paper deals with true random number generators employing oscillator rings, namely, with the one proposed by Sunar et al. in 2007 and enhanced by Wold and Tan in 2009. Our mathematical analysis shows that both architectures behave identically when composed of the same number of rings and ideal logic components. However, the reduction of the number of rings, as proposed by Wold and Tan, would inevitably cause the loss of entropy. Unfortunately, this entropy insufficiency is masked by the pseudo-randomness caused by XOR-ing clock signals having different frequencies. Our simulation model shows that the generator, using more than 18 ideal jitter-free rings having slightly different frequencies and producing only pseudo-randomness, will let the statistical tests pass. We conclude that a smaller number of rings reduce the security if the entropy reduction is not taken into account in post-processing. Moreover, the designer cannot avoid that some of rings will have the same frequency, which will cause another loss of entropy. In order to confirm this, we show how the attacker can reach a state where over 25% of the rings are locked and thus completely dependent. This effect can have disastrous consequences on the system security.

scholarly journals Satchain: Secured Autonomous Transactions in Supply Chain using Block Chain

2020 ◽  
Vol 9 (4) ◽  
pp. 1661-1669
Keyword(s):  
Supply Chain ◽  
Textile Industry ◽  
Business Models ◽  
Raw Materials ◽  
Operating Mode ◽  
Proposed Model ◽  
Wide Range ◽  
Block Chain ◽  
Non Destructive

With the increasing of digitization and massive adoption of advanced technologies in the various industries such as automotive, food, electronic goods etc. not only transform the equipment manufacturer’s operating mode, but also changing the business models. In particular textile industry, the raw materials are collected from different other industries, end products are manufactured, distributed and sold globally. Supply chain and logistics, in particular, are considered as fertile ground for a blockchain implementation due to the several parties involved in the logistic processes and the lack of trust that usually characterize the industry. In this paper, we addressed the automatic textile industry supply chain as case study, in which we present a non – destructive way of ensuring the traceability of different operational modes of supply chain. We have implemented automatic block chain-based framework, which helps track and trace every mode of operation in supply chain. The proposed framework is simulated in Ethereum platform and the result shows the proof – of – concept of proposed model that can be used for wide range of future smart applications.

scholarly journals Semi-device-independent random number generation with flexible assumptions

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Matej Pivoluska ◽  
Martin Plesch ◽  
Máté Farkas ◽  
Natália Ružičková ◽  
Clara Flegel ◽  
...  
Keyword(s):  
Quantum Mechanics ◽  
Random Number ◽  
Random Number Generation ◽  
Random Number Generators ◽  
Number Generation ◽  
Physical Implementation ◽  
Data Rates ◽  
Wide Range ◽  
Classical Entropy

AbstractOur ability to trust that a random number is truly random is essential for fields as diverse as cryptography and fundamental tests of quantum mechanics. Existing solutions both come with drawbacks—device-independent quantum random number generators (QRNGs) are highly impractical and standard semi-device-independent QRNGs are limited to a specific physical implementation and level of trust. Here we propose a framework for semi-device-independent randomness certification, using a source of trusted vacuum in the form of a signal shutter. It employs a flexible set of assumptions and levels of trust, allowing it to be applied in a wide range of physical scenarios involving both quantum and classical entropy sources. We experimentally demonstrate our protocol with a photonic setup and generate secure random bits under three different assumptions with varying degrees of security and resulting data rates.

scholarly journals Low power pseudo-random number generator based on lemniscate chaotic map

2021 ◽  
Vol 11 (1) ◽  
pp. 863
Author(s):  
Mohamed Saber ◽  
Marwa M. Eid
Keyword(s):  
Low Power ◽  
Random Number ◽  
Chaotic Map ◽  
Random Number Generator ◽  
Number Generator ◽  
Pseudo Random Number ◽  
Proposed Model ◽  
Wide Range ◽  
Field Programmable ◽  
Pseudo Random Number Generator

Lemniscate chaotic map (LCM) provides a wide range of control parameters, canceling the need for several rounds of substitutions, and excellent performance in the confusion process. Unfortunately, the hardware model of LCM is complex and consumes high power. This paper presents a proposed low power hardware model of LCM called practical lemniscate chaotic map (P-LCM) depending on trigonometric identities to reduce the complexity of the conventional model. The hardware model designed and implement into the field programmable gate array (FPGA) board, Spartan-6 SLX45FGG484-3. The proposed model achieves a 48.3 % reduction in used resources and a 34.6 % reduction in power consumption compared to the conventional LCM. We also introduce a new pseudo-random number generator based on a proposed low power P-LCM model and perform the randomization tests for the proposed encryption system.

Modeling of Supply Chain for Defective Goods Using Jit-Logistics

2012 ◽  
Vol 59 (2) ◽  
Author(s):  
Salah Alden Ghasimi ◽  
Rizauddin Ramli ◽  
Nizaroyani Saibani
Keyword(s):  
Supply Chain ◽  
Just In Time ◽  
Research Issues ◽  
Chain Management ◽  
Total Cost ◽  
The Past ◽  
Proposed Model ◽  
Wide Range ◽  
Operational Models ◽  
Jit Logistics

Supply chain management (SCM) is a field of study which covers a wide range of research issues involving strategic to operational models. In the past two decades, SCM has drawn much attention from manufacturers and organizations for optimizing their operations. In this paper, a mathematical model to optimize costs of the supply chain for defective and repairable goods through the application of just-in-time (JIT) logistics is proposed. The hypothesis is that the defective goods are repairable and some of them are considered as scraps. The aim of this model is to minimize the total cost of production, maintenance, freight, reworking, scrap goods and shortage to retailers. The proposed model is novel and LINGO has been used to solve it. The validity of the model was proven by testing 12 sample problems and the results showed correctness and fine function of the model. Based on the data parameters, this model can also determine which manufacturer or distributor in the particular period of the production needs to be active. The model is applicable for all producers that are encountering with problem of producing of defective goods.

scholarly journals Resilience-Based Restoration Model for Supply Chain Networks

Mathematics ◽  
2020 ◽  
Vol 8 (2) ◽  
pp. 163
Author(s):  
Xinhua Mao ◽  
Xin Lou ◽  
Changwei Yuan ◽  
Jibiao Zhou
Keyword(s):  
Supply Chain ◽  
Simulated Annealing Algorithm ◽  
Programming Model ◽  
Supply Chain Networks ◽  
Performance Loss ◽  
Proposed Model ◽  
Wide Range ◽  
Nonlinear Programming Model ◽  
Annealing Algorithm ◽  
Restoration Model

An optimal restoration strategy for supply chain networks can efficiently schedule the repair activities under resource limits. However, a wide range of previous studies solve this problem from the perspective of cost-effectiveness instead of a resilient manner. This research formulates the problem as a network maximum-resilience decision. We develop two metrics to measure the resilience of the supply chain networks, i.e., the resilience of cumulative performance loss and the resilience of restoration rapidity. Then, we propose a bi-objective nonlinear programming model, which aims to maximize the network resilience under the budget and manpower constraints. A modified simulated annealing algorithm is employed to solve the model. Finally, a testing supply chain network is utilized to illustrate the effectiveness of the proposed method framework. The results show that the optimal restoration schedule generated by the proposed model is a tradeoff between the cumulative performance loss and the restoration rapidity. Additionally, the sensitivity analysis of parameters indicates that decision-maker’s preference, tolerance factor of delivery time, number of work crews, and availability of budget all have significant impacts on the restoration schedule.

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