Multi-Agent-Based Analysis and Design of Decision-Support System for Real-Time Environment Control

2018 ◽  
Vol 9 (1) ◽  
pp. 1-19 ◽  
Author(s):  
Namrata Das ◽  
Anirban Kundu
Keyword(s):  
Real Time ◽  
Support System ◽  
Time Data ◽  
Centroid Method ◽  
Output Measurement ◽  
Analysis And Design ◽  
Different Temperatures ◽  
Different Seasons ◽  
Environment Control ◽  
Multi Agent

The authors analyze different temperatures in different times and different seasons. They apply well-known data analysis agents, such as interpretation analysis, observation analysis, deductive analysis, and predictive analysis on the proposed framework. Some temperature values fall in intersected zones in which it is not definite to decide output measurement based on real-time temperature. In such scenarios, they apply fuzzy reasoning for analyzing real-time data and find the best possible solutions. Maximum method and centroid method are used for better performance in achieving optimum results for specific decisions as a support system.

scholarly journals Analysis and Design of Distribution Systems Information Flow in the Sugar Supply Chain in Indonesia

2021 ◽  
Vol 2 (1) ◽  
pp. 47
Author(s):  
Ratna Ekawati ◽  
Yandra Arkeman ◽  
Suprihatin Suprihatin ◽  
Titi Candra Sunarti
Keyword(s):  
Supply Chain ◽  
Real Time ◽  
Information Flow ◽  
Value Chain ◽  
Distribution Systems ◽  
Product Information ◽  
Information Support ◽  
Main Process ◽  
Time Data ◽  
Analysis And Design

Today's modern supply chain represents a complex and real-time, organization, resource, activity, information, and data source that is involved in the distribution of products and services ranging from upstream to downstream of the supply chain. In the past 4.0 supply chain technology was not just a linear business function, but as the center of the main process of ecosystems that are in a blind spot chained by value. With information as a foundation in the decision-making process so that information can create integrated and efficiently coordinated supply chains. So that it can show continuity from planning to production, inventory, quality, and price control in each chain. An inefficient distribution that results in mistrust among stakeholders, because it has an impact on the decline and loss of value chain in quality and quantity. Integrity problems from the data collected were found in this study. These findings include the identification of various stakeholders, including farmers, importers to customers, and regulators, as well as their needs, which will be described through the use case, and BPMN. The results obtained are that the main actors (stakeholders) of the system are divided into farmers, importers, processing factories, headquarters, hauling services, and markets (customers) in the distribution of product information flow systems. Suggests tracking and tracing based on real-time data flow of product information coming from each actor in the sugar supply chain that is equipped with an accurate data distribution information support system.

Lifting Operations with Wind Turbine Installation Jack-Ups Using Real-Time Data

2021 ◽  
Author(s):  
Kayo Vanderheggen ◽  
Joost Janssen ◽  
Nate Meredith
Keyword(s):  
Wind Turbine ◽  
Real Time ◽  
Support System ◽  
High Load ◽  
Full Potential ◽  
Catastrophic Failure ◽  
Time Data ◽  
Real Time Data ◽  
Jack Up ◽  
Turbine Installation

When a wind turbine installation jack-up performs a heavy lifting operation with the crane it affects the loads on the foundation. For these units the crane typically encircles a leg or is positioned close to it. Consequently, that leg attracts most of the loads due to crane operations. For each location jack-ups prove the capacity of the foundation by applying a controlled, high load at each of the footings before commencing operations. This process is known as preloading. The achieved preload at the jack-up’s foundation determines the operational limit. Exceedance of the preload value may result in foundation instability. Depending on the site’s foundation characteristics the consequences of such an exceedance range from negligible to catastrophic failure. GustoMSC has developed Operator Support System (OSS) software with the purpose to make the operator aware of the limitations imposed by the preloaded foundation. The application outlines operational limits based on real-time data from the jack-up, jacking system and crane which enables the operators to safely unlock the full potential of their wind turbine installation jack-up.

The Development of Information Integration System for Oil Production Equipment

2014 ◽  
Vol 644-650 ◽  
pp. 3145-3148
Author(s):  
Mei Tian Wang
Keyword(s):  
Real Time ◽  
Information Integration ◽  
Collaborative Work ◽  
Full Range ◽  
Information Service ◽  
Oil Production ◽  
Production Equipment ◽  
Time Data ◽  
Analysis And Design ◽  
Production Run

Oil production equipment has a large amount of information, data acquisition channels, strong professional characteristics, and the data real-time, reliability and consistency of the demand is higher. For the production department for oil real-time data and collect data source point each production run for unified management, timely and accurate response oil production information, to improve the efficiency of collaborative work between the production departments, it provides a full range of production equipment management information service and aided decision basis. This paper from the aspects of system requirements and system architecture of oil production equipment running information integration platform has carried on the overall analysis and design.

scholarly journals Implementation of a LoRaWAN Based Smart Agriculture Decision Support System for Optimum Crop Yield

2022 ◽  
Vol 14 (2) ◽  
pp. 827
Author(s):  
Jehangir Arshad ◽  
Musharraf Aziz ◽  
Asma A. Al-Huqail ◽  
Muhammad Hussnain uz Zaman ◽  
Muhammad Husnain ◽  
...  
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Real Time ◽  
Long Range ◽  
Support System ◽  
Irrigation System ◽  
Time Data ◽  
Conductivity Sensor ◽  
Accessible Information ◽  
Sensor Module

A majority of the population of developing countries is associated with agriculture directly or indirectly. The liaison of engineering technology and Sustainable Development Goals (SDGs) can build a bridge for farmers to enhance their skills regarding advancements through future generation agriculture trends. The next-generation trends include better soil preparation, intelligent irrigation systems, advanced methods of crop nutrient inspection, smart fertilizers applications, and multi-cropping practices. This work proposes a smart Decision Support System (DSS) that acquires the input parameters based on real-time monitoring to optimize the yield that realizes sustainability by improving per hectare production and lessening water seepage wastage in agribusiness. The proposed model comprises three basic units including an intelligent sensor module, smart irrigation system and controlled fertilizer module. The system has integrated sensors, cloud employing decision support layers, and networking based DSS to recommend cautions for optimum sustainable yield. The intelligent sensors module contains a temperature and humidity sensor, NPK sensor, soil moisture sensor, soil conductivity sensor, and pH sensor to transmit the statistics to the cloud over the internet via Long Range (LoRa) using Serial Peripheral Interface (SPI) communication protocol. Moreover, an android application has been developed for real-time data monitoring according to GPS location and node information (accessed remotely). Furthermore, the DSS contemplates the accessible information from sensors, past patterns, monitoring climate trends and creating cautions required for sustainable fertilizer consumption. The presented results and comparison validate the novelty of the design as it embraces smart irrigation with smart control and smart decision-making based on accurate real-time field data. It is better than existing systems as it transmits the data over the LoRa that is an open-source communication with long-range transmission ability up to several kilometres. The sensor nodes helped in advancing the yield of crops, which resulted in achieving inclusive and sustainable economic goals.

scholarly journals A Decision Support System for Dynamic Job-Shop Scheduling Using Real-Time Data with Simulation

Mathematics ◽  
2019 ◽  
Vol 7 (3) ◽  
pp. 278 ◽  
Author(s):  
Ahmet Turker ◽  
Adnan Aktepe ◽  
Ali Inal ◽  
Olcay Ersoz ◽  
Gulesin Das ◽  
...  
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Real Time ◽  
Support System ◽  
Job Shop ◽  
Performance Criteria ◽  
Dispatching Rules ◽  
Dispatching Rule ◽  
Time Data ◽  
Real Time Data

The wide usage of information technologies in production has led to the Fourth Industrial Revolution, which has enabled real data collection from production tools that are capable of communicating with each other through the Internet of Things (IoT). Real time data improves production control especially in dynamic production environments. This study proposes a decision support system (DSS) designed to increase the performance of dispatching rules in dynamic scheduling using real time data, hence an increase in the overall performance of the job-shop. The DSS can work with all dispatching rules. To analyze its effects, it is run with popular dispatching rules selected from the literature on a simulation model created in Arena®. When the number of jobs waiting in the queue of any workstation in the job-shop falls to a critical value, the DSS can change the order of schedules in its preceding workstations to feed the workstation as soon as possible. For this purpose, it first determines the jobs in the preceding workstations to be sent to the current workstation, then finds the job with the highest priority number according to the active dispatching rule, and lastly puts this job in the first position in its queue. The DSS is tested under low, normal, and high demand rate scenarios with respect to six performance criteria. It is observed that the DSS improves the system performance by increasing workstation utilization and decreasing both the number of tardy jobs and the amount of waiting time regardless of the employed dispatching rule.

Analysis and Design of Open Remote Monitor and Control System

2013 ◽  
Vol 722 ◽  
pp. 393-396
Author(s):  
Xiang Chen ◽  
Hui Huang Pi ◽  
Lin Lin Zhou
Keyword(s):  
Control System ◽  
Real Time ◽  
Monitor System ◽  
Monitoring And Control ◽  
Time Data ◽  
Remote Monitor ◽  
Analysis And Design ◽  
Remote Monitor System ◽  
The Stability ◽  
And Control

Introduced a Web-based real-time network monitoring and control system design methods, the 3-D VR was applied in a remote monitor system based on browser/server structure, and a VRML and Java based 3-D remote monitor system was realized. Meanwhile, give possible solutions of the real-time data transmission and the stability of the system.

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