scholarly journals A Structural Functional Model for Managing the Digital Potential of a Strategic Innovatively Active Industrial Cluster

2021 ◽  
Vol 12 (7) ◽  
pp. 1359
Author(s):  
Aleksander Babkin ◽  
Larissa Tashenova ◽  
Dinara Mamrayeva ◽  
Tamara Andreeva
2020 ◽  
pp. 26-32
Author(s):  
VLADIMIR V KIRSANOV VLADIMIR V ◽  

The problems of the digitalization of livestock enterprises are closely related to the construction of models and algorithms describing the functioning of individual technological processes and subsystems united by a common control system. Based on the cluster approach, three groups of tasks for the intellectualization and digitalization of objects in livestock breeding are formulated: 1) recognition of images of biological objects and models of their group and individual behavior, 2) genomic assessment of farm animals, prediction of their genetic potential, with the possibility of better adaptation to technologies and specifi c economic conditions, 3) multi-agent management of automated and robotic technical means. The authors initialized the video images of biological objects, developed a structural and functional model of a complex biotechnical system “Man-Machine-Animal”, including automated workstations of key specialists, signal receiving-and-transmitting base stations, technological modules for animal service (feeding, watering, milking, microclimate, etc.), representing local biotechnical systems. The paper presents a structural-and-logistic “funnel” model of a livestock farm functioning. The model includes vectors of incoming material fl ows, outgoing production fl ows and outgoing byproducts (production waste) described using appropriate formalizations. The authors provide the structural typifi cation of technological modules and subsystems for their mathematical analysis and subsequent digital transformation of livestock farms.


2019 ◽  
Vol 5 (2) ◽  
pp. 95-103
Author(s):  
Rosa Delima ◽  
Halim Budi Santoso ◽  
Gerry Herbiyan Aditya ◽  
Joko Purwadi ◽  
Argo Wibowo

E-Commerce is a process model of selling and buying goods using information and communication technology. This business model offers a broad market for products owned by the seller. However this sales model is not yet common for agricultural products. Most of the process of buying and selling agricultural products is still done conventionally. The lack of agricultural e-commerce sites is the main reason for the research conducted. This research will develop an agricultural e-commerce system. This system has two main modules that are sales module and purchasing module. This article specifically develops sales modules for agricultural e-commerce. In the development of modules applied Dynamic System Development Method. The used of this model is based on characteristic of the project which have limited number of development team and short development time. The development stages consist of pre-project, feasibility study, business study, functional model iteration, and design and build iteration. In this study a prototype has been produced for the sales module on agricultural e-commerce that is being developed


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