The Integrated Exchange of Information and IoT for Smart Logistics Systems

2020 ◽  
pp. 140-145
Author(s):  
Gutu Ofgaa ◽  
Syed Umar
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Information Systems ◽  
Raw Materials ◽  
Logistics System ◽  
Supply Networks ◽  
Logistics Systems ◽  
Flow Mechanisms ◽  
Internet Platform ◽  
Intelligent Logistics

The logistics system is an important and stimulating process for producers. The logistics system starts with the supply of raw materials, product design, assembly and distribution to customers. A supply chain can be considered when designing this process. Therefore, modelling and optimizing supply networks related to the different processes of the logistics system and data transactions is a major challenge. On the other hand, developments in the digital environment of logistics systems are integrated with the development of Industry 4.0, including Internet of Things (IoT), big data, cloud computing and information systems. Therefore, this document discusses the development of information systems on different processes of logistics systems in modelling the exchange of data between elements of the supply network. The concepts of big data and cloud computing are taken into account when proposing information flow mechanisms. The result allows a complete exchange of data between the elements of the intelligent logistics system on the Internet platform. The functions and solutions of sales, transport, inventory and sales are presented in the different phases of the proposed logistics system. The need for data flow is created using a database concept for making real-time decisions

scholarly journals Intelligent Logistics for Intelligent Production Systems

2018 ◽  
Vol 20 (4) ◽  
pp. 16-23 ◽  
Author(s):  
Martin Krajcovic ◽  
Patrik Grznar ◽  
Miroslav Fusko ◽  
Radovan Skokan
Keyword(s):  
Large Scale ◽  
Production Systems ◽  
Internal State ◽  
Logistics System ◽  
Digital Twin ◽  
Logistics Systems ◽  
Inadequate Knowledge ◽  
Different Types ◽  
Intelligent Logistics ◽  
In The Beginning

The main topic of the submitted paper is intelligent logistics and its integration into production systems. In the beginning, the problem that lies in the inadequate knowledge of the internal state has been defined. The new society-wide trends that will originate in a few years are also outlined. Those trends will affect factories and their logistics systems on a large scale. Therefore, it is necessary to have a strategy that takes these new trends into consideration. In this manuscript, is described a strategy for intelligent production systems, as well as technologies for different types of production-logistic strategies. Many of these technologies can be applied together with the Digital Twin. The Digital Twin is a new concept in the field of designing production and logistics systems in the factory. Finally, we provide a description of the implementation of the Digital Twin into the production and logistics system.

scholarly journals Application of the New Nato Logistics System

2018 ◽  
Vol 23 (2) ◽  
pp. 121-127 ◽  
Author(s):  
Miroslav Pecina ◽  
Jan Husak
Keyword(s):  
Information Systems ◽  
Planning Process ◽  
Information Environment ◽  
Operational Planning ◽  
Information Support ◽  
Control Network ◽  
Functional Area ◽  
Logistics System ◽  
Logistics Systems ◽  
And Control

Abstract The article focuses on the current use of NATO’s logistics information systems in NATO’s defense planning and operational planning process in the logistics area. Information support is provided through NATO Logistics Functional Area Services (LOGFAS) Logistics Systems, which create the necessary information environment through individual software tools. In order to improve logistical information support, NATO is in parallel preparing for the modernization of the existing information environment and developing LOG FS project that should replace existing information systems in the future, optimize information support, bring new functions and enable logistics operations coordination within NATO’s integrated command and control network and between alliance and nations.

Organizational Memory

2015 ◽  
pp. 157-179
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Information Systems ◽  
Organizational Capacity ◽  
Organizational Memory ◽  
Intangible Asset ◽  
Organizational History ◽  
Generic Concept ◽  
Social Contribution ◽  
Individual Memory

Organizational memory is a generic concept that represents the organizational capacity for encoding, storing, retrieval, and decoding the organizational knowledge. It is an intangible asset of any organization that comprises cognitive, emotional, and spiritual knowledge in their multiple forms. Although many researchers conceived and described organizational memory using as a metaphor individual memory, organizational memory integrates a significant social contribution. Transactive memory is the first extension of individual memory and it is specific for the teams. Organizational culture contributes directly with the emotional and spiritual knowledge to the content of organizational memory. Beliefs, value, stories, myths, and traditions encode fundamental emotional and spiritual knowledge from the organizational history. Organizational memory can be enhanced by technology, especially by information systems. In the last years, new opportunities opened by using Big Data and cloud computing.

Challenges and Cloud Computing Environments Towards Big Data

2014 ◽  
pp. 203-208
Author(s):  
Kiran Kumar S V N Madupu
Keyword(s):  
Data Mining ◽  
Cloud Computing ◽  
Big Data ◽  
Technology Development ◽  
Computing Environments ◽  
Modern Technologies

Big Data has terrific influence on scientific discoveries and also value development. This paper presents approaches in data mining and modern technologies in Big Data. Difficulties of data mining as well as data mining with big data are discussed. Some technology development of data mining as well as data mining with big data are additionally presented.

Workflow Scheduling for Scientific Application in Homogeneous Cloud Environment

2017 ◽  
Vol 7 (7) ◽  
pp. 137
Author(s):  
. Monika ◽  
Pardeep Kumar ◽  
Sanjay Tyagi
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Large Data ◽  
Workflow Scheduling ◽  
Cloud Environment ◽  
Computing Environment ◽  
Scientific Application ◽  
Cloud Computing Environment ◽  
Flow Of Information

In Cloud computing environment QoS i.e. Quality-of-Service and cost is the key element that to be take care of. As, today in the era of big data, the data must be handled properly while satisfying the request. In such case, while handling request of large data or for scientific applications request, flow of information must be sustained. In this paper, a brief introduction of workflow scheduling is given and also a detailed survey of various scheduling algorithms is performed using various parameter.

Issues in security and privacy of big data

2018 ◽  
Vol 7 (12) ◽  
pp. 1
Author(s):  
Shaveta Bhatia
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Approximate Method ◽  
Biomedical Research ◽  
Cyber Security ◽  
Data Science ◽  
Third Party ◽  
Security And Privacy ◽  
Security Threats ◽  
The Third

 The epoch of the big data presents many opportunities for the development in the range of data science, biomedical research cyber security, and cloud computing. Nowadays the big data gained popularity.  It also invites many provocations and upshot in the security and privacy of the big data. There are various type of threats, attacks such as leakage of data, the third party tries to access, viruses and vulnerability that stand against the security of the big data. This paper will discuss about the security threats and their approximate method in the field of biomedical research, cyber security and cloud computing.

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