Application Of Multiagent Simulation Modeling To Forecast Milk Receiving Process

2021 ◽  
Author(s):  
Evgeny A. Nazoykin
Keyword(s):  
Simulation Modeling ◽  
Food Production ◽  
Multiagent System ◽  
Simulation Models ◽  
Simulation Environment ◽  
General Technique ◽  
Multiagent Simulation ◽  
Production Processes ◽  
Basic Parameters ◽  
And Storage

This research paper discusses the application of multiagent simulation model of production processes by reference to milk receiving and storage. The paper describes basic parameters for general models, and presents the experiment results obtained during the model processing, as well as the approach towards implementation of the multiagent system employing AnyLogic simulation environment. The introduction of general technique to plot multiagent simulation models allows to use digital tools to create a virtual copy of the true-life processes with the possibility to provide forecast and identification of the food production industries. The employment of simulation modeling enables refinement of the production process under study, identification of its weaknesses, and provision of the expert opinion on improvement of production processes and as regards the results of virtual testing thereof.

MULTI-AGENT SIMULATION MODELING OF MILK INTAKE PROCESS

2021 ◽  
Vol 13 (4) ◽  
pp. 4-8
Author(s):  
Yu. Gridnev ◽  
E. Nazoykin ◽  
I. Blagoveschenskiy ◽  
D. Stukalenko ◽  
E. Kuzero
Keyword(s):  
Simulation Modeling ◽  
Food Production ◽  
Digital Tools ◽  
Simulation Methods ◽  
Multi Agent System ◽  
Simulation Environment ◽  
Intake Process ◽  
Real Process ◽  
Agent Simulation ◽  
Multi Agent

The article is devoted to the creation of a multi-agent simulation model of the production process of receiving and storing milk; the description of the main parameters and the results obtained during the work with experiments with the model, as well as the description of the implementation of the multi-agent system using the Anylogic simulation environment are given. The introduction of multi-agent simulation methods allows to use digital tools to create a virtual copy of a real process with the ability to predict and identify food production facilities. The usage of simulation modeling is necessary for conducting experiments aimed at improving production processes through virtual testing.

Innovations in Food Production - Status and Directions of Development

2012 ◽  
Vol 7 (2) ◽  
pp. 183-193
Author(s):  
Barbara Grzybowska
Keyword(s):  
Functional Food ◽  
Food Production ◽  
Food Industry ◽  
Statistical Data ◽  
New Products ◽  
Technological Innovations ◽  
The Status ◽  
Product Manufacturing ◽  
The Subject ◽  
And Storage

This paper characterises the directions of innovative activities undertaken by food industry enterprises concerning the manufacturing of food products. Based on the subject literature and secondary statistical data, the status of food industry innovativeness and areas of innovative activities related to implementation of technological and non-technological innovations are presented. The activities of enterprises focus on manufacturing new products in response to the ever-changing needs and expectations of consumers. In particular, the production of so-called functional food (which seeks to promote health, minimise the risk of specific diseases, improve psychophysical fitness, lose weight, etc.) is increasingly extensive. Manufacturers must also improve the technologies and techniques of product manufacturing, packaging and storage. 

Process simulation modeling of phytophagans' influence on the yield of seed fruit crops

2019 ◽  
pp. 138-143
Author(s):  
V. A. Shishkin ◽  
E. P. Rybalkin ◽  
E. B. Balykina
Keyword(s):  
Process Simulation ◽  
Simulation Modeling ◽  
Software Package ◽  
Development Process ◽  
Simulation Models ◽  
Vegetation Period ◽  
Fruit Crops ◽  
Generational Change ◽  
Apple Trees ◽  
Nonlinear Characteristics

Simulation modeling of phytophagans’ influence on the yield of seed fruit crops, in particular apple trees, was carried out. By means of simulation models the importance of phytophagans’ influence at different stages of the vegetation period and the period of fruit ripening was revealed. The software package Matlab was used to build simulation models. As a result, simulation models with nonlinear characteristics were obtained, which maximally reflected the studied processes. The developed models imitate the process of phytophagans’ development. Generation change of pests and all stages of their development are simulated. Their respective numbers are recorded at each stage for all generations. The development process at each stage is modeled by separate subsystems of the simulation model. To simulate the development of one generation of pests, these subsystems are connected by external links. In addition, part of the relationships provides a simulation of generational change. There are a number of input parameters that allow to configure the simulation of the process of changing generations, taking into account the peculiarities of the development of various phytophagans.

scholarly journals Application of electrophysical heating methods in food production processes

2021 ◽  
Vol 640 (7) ◽  
pp. 072001
Author(s):  
V I Perov ◽  
M A Belyaeva ◽  
E I Koroleva ◽  
A E Eremin ◽  
I A Kechkin
Keyword(s):  
Food Production ◽  
Production Processes

Dynamic Modeling on the Hybrid MCFC-Gas Turbine Bottoming Cycle

2003 ◽  
Author(s):  
Huisheng Zhang ◽  
Shilie Weng ◽  
Ming Su
Keyword(s):  
Fuel Cell ◽  
Power Plant ◽  
Gas Turbine ◽  
Simulation Modeling ◽  
Dynamic Models ◽  
Simulation Models ◽  
Fuel Cell Stack ◽  
Hybrid Power ◽  
Hybrid Power Plant ◽  
Micro Turbine

The intention of this paper is to present the dynamic models for the MCFC-gas turbine hybrid cycle. This paper analyzes the performance of various components in the hybrid power plant, such as compressor, turbine, recuperator, generator, fuel cell stack etc. The modular simulation models of these components are presented. Based on the dynamic simulation modeling principle, one bottoming hybrid MCFC-Micro turbine cycle was studied to carry out the simulation, the simulation result is reasonable.

Simulation of the construction of cable-stayed bridges

1998 ◽  
Vol 25 (3) ◽  
pp. 490-499 ◽  
Author(s):  
Dulcy M Abraham ◽  
Daniel W Halpin
Keyword(s):  
Computer Simulation ◽  
Simulation Modeling ◽  
Simulation Models ◽  
Interstate Highways ◽  
Simulation Techniques ◽  
Pedestrian Bridges ◽  
Cantilever Construction ◽  
Fertile Area ◽  
Computer Simulation Techniques ◽  
Cable Stayed Bridges

Cable-stayed bridges are ideal for spanning natural barriers of wide rivers, deep valleys, or ravines, and for pedestrian bridges crossing wide interstate highways. Modern construction of cable-stayed bridges makes use of the segmental balanced cantilever techniques and involves many repetitive cycles of placing the concrete segments (both cast-in-place and precast) and supporting cables. It provides a fertile area for the application of computer simulation techniques for the planning and analysis of the process, particularly for studying the interaction of resources used in the construction phase and also for assessing the productivity of the construction processes. This paper employs MicroCYCLONE, a microcomputer-based simulation program, for the modeling and simulation of the construction of two cable-stayed bridges: the Dame Point Bridge in the state of Florida, U.S.A., and the Tsukuhara Bridge in Hyuougo, Japan. The paper will also provide a brief explanation of the suspended long traveler method used on the Tsukuhara Bridge, the simulation models developed to analyze the construction processes, and the results of sensitivity analyses.Key words: simulation, modeling, construction, cable-stayed bridges, resources, productivity, balanced cantilever construction.

Methods for the Control of Uncertainty in Multilevel Process Chains Using the Example of Drilling/Reaming

2011 ◽  
Vol 104 ◽  
pp. 103-113 ◽  
Author(s):  
Michael Haydn ◽  
Thomas Hauer ◽  
Eberhard Abele
Keyword(s):  
Systematic Approach ◽  
Simulation Models ◽  
Production Costs ◽  
Material Strength ◽  
Process Chain ◽  
Production Processes ◽  
Process Chains ◽  
Key Aspects ◽  
And Control ◽  
Previous Step

Uncertainty during production processes has an important influence on the product quality as well as production costs. For multilevel process chains with serially connected processes, additional uncertainty can be caused by the previous step. The manufacturing of precision holes by drilling and reaming is an important multilevel process chain. The interactions between machine, tool and pre-drilled hole cause process errors during the quality determinant final reaming process. In this paper, a systematic approach for the identification and control of uncertainty during the reaming process is presented. Thus, the influence of key aspects like skewness of pre-drilled hole or the influences of material strength gradients are analyzed. Further, simulation models for the consideration of these uncertainties are presented.

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