FX Infrastructure Complaint Management System

2021 ◽  
Vol 10 (02) ◽  
pp. 91-102
Author(s):  
Selvi Selvi ◽  
Sahaya Jenitha ◽  
Sivanesh Sivanesh

The FX Infrastructure Complaint Management System is a web application which focuses on an activity or function, which is based on management of infrastructure of institutions. In this web application user select faulty accessories and report it to the admin with particular complaint. It maintains a database of all the information that are recorded and received. It helps the college to maintain all the accessories safely. The admin get this information, Admin can perform quick action to repair infrastructure of college. Also according to students and teachers complaint he quickly know the location of accessories as classroom, cantine, library, bathroom etc. This web application is mainly focus on the maintenance of college infrastructure management.

Author(s):  
R. Gomathijayam ◽  
J. Ayeesha Parveen

Today's world belongs to information technology. Information is worthwhile only if, it can be accessed at the right time, by the right person & is useful for the purpose defined. The purpose of Medical Product Complaint Management System (MPCMS) is to provide their prescription details and complaint registration easier one. This is an important tool to control and effectively manage the entire operation of patient details management and complaint registration in a very efficient manner and take it to the path of growth. The System deals with the collection of patient details and the prescription details and outputting it to the user through web application. The prescription details are stored into the database and when the user logs into the system they can view their prescription details. The user has been given a login to view the details and he can able to register the complaint in case of severe problems occurred due to the wrong prescription of medicines. The complaint will be submitted and it will be viewed by the NGO. The NGO is having separate login to view the complaints and he will be given the authority to accept/reject the complaint.


Author(s):  
P. Sarwanto

Among other obligations imposed under the forestry permit, watershed rehabilitation planting is perceived by the upstream oil and gas sector as the most complex challenge to conquer. Despite its poor track in fulfilling timeline and required result, there are also other challenges to consider, for instance lack of critical location, weather, fire, land tenure, community habit and capability, and cost optimization. In attempt to respond these challenges, an innovation in management system is constructed at PT Pertamina Hulu Mahakam, embracing and tailoring all related challenges, difficulties, and complexities, escalating the activity to be beyond compliance. So that it will be able to deliver more than merely avoid the identified potential risks towards company. The management system, called PIRAMIDA TINGGI (Pemberdayaan Masyarakat untuk Melestarikan Hutan di Dunia demi Ketahanan Energi Nasional), actively involves government, community, and business sector as equilateral triangle that work together to perform watershed rehabilitation planting. Developed using ISO 9001:2015 process approach namely PDCA (Plan-Do-Check-Act), the PIRAMIDA TINGGI system is in line as well with NAWACITA (President Joko Widodo’s vision, mission and program). To encounter other issue found during field work, this system is equipped as well with another innovation tool named PARIDA, a geospatial mobile-desk top-web application that easily able to map and identify vegetation in real time for further geo-analyzing multi-purposes, to be operated by local community. Full set implementation of this system has benefitted all parties. To Company in form of significant cost efficiency around 13.9 MUSD and 7 days’ faster result delivery besides obligation fulfillment, for others in form of broader advantage of proven sustainability project that has gave contribution to 5P (People, Planet, Prosperity, Partnership and Peace), objectives required by UN Sustainable Development Goals 2030.


Author(s):  
Hamza Mahfoud Hamer ◽  
Osama Ibraheem Ashour Ashour ◽  
Muhammad Ilyas

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ririn Diar Astanti ◽  
Ivana Carissa Sutanto ◽  
The Jin Ai

PurposeThis paper aims to propose a framework on complaint management system for quality management by applying the text mining method and potential failure identification that can support organization learning (OL). Customer complaints in the form of email text is the input of the framework, while the most frequent complaints are visualized using a Pareto diagram. The company can learn from this Pareto diagram and take action to improve their process.Design/methodology/approachThe first main part of the framework is creating a defect database from potential failure identification, which is the initial part of the failure mode and effect analysis technique. The second main part is the text mining of customer email complaints. The last part of the framework is matching the result of text mining with the defect database and presenting in the form of a Pareto diagram. After the framework is proposed, a case study is conducted to illustrate the applicability of the proposed method.FindingsBy using the defect database, the framework can interpret the customer email complaints into the list of most defect complained by customer using a Pareto diagram. The results of the Pareto diagram, based on the results of text mining of consumer complaints via email, can be used by a company to learn from complaint and to analyze the potential failure mode. This analysis helps company to take anticipatory action for avoiding potential failure mode happening in the future.Originality/valueThe framework on complaint management system for quality management by applying the text mining method and potential failure identification is proposed for the first time in this paper.


Author(s):  
A. V. Vo ◽  
D. F. Laefer ◽  
M. Trifkovic ◽  
C. N. L. Hewage ◽  
M. Bertolotto ◽  
...  

Abstract. The massive amounts of spatio-temporal information often present in LiDAR data sets make their storage, processing, and visualisation computationally demanding. There is an increasing need for systems and tools that support all the spatial and temporal components and the three-dimensional nature of these datasets for effortless retrieval and visualisation. In response to these needs, this paper presents a scalable, distributed database system that is designed explicitly for retrieving and viewing large LiDAR datasets on the web. The ultimate goal of the system is to provide rapid and convenient access to a large repository of LiDAR data hosted in a distributed computing platform. The system is composed of multiple, share-nothing nodes operating in parallel. Namely, each node is autonomous and has a dedicated set of processors and memory. The nodes communicate with each other via an interconnected network. The data management system presented in this paper is implemented based on Apache HBase, a distributed key-value datastore within the Hadoop eco-system. HBase is extended with new data encoding and indexing mechanisms to accommodate both the point cloud and the full waveform components of LiDAR data. The data can be consumed by any desktop or web application that communicates with the data repository using the HTTP protocol. The communication is enabled by a web servlet. In addition to the command line tool used for administration tasks, two web applications are presented to illustrate the types of user-facing applications that can be coupled with the data system.


Author(s):  
Sai Ba Oo ◽  
Nang Hlaing Myat Oo ◽  
Suparat Chainan ◽  
Arpha Thongniam ◽  
Waralak Chongdarakul

2019 ◽  
Vol 2019 ◽  
pp. 1-15 ◽  
Author(s):  
F. Rodrigues ◽  
J. Teixeira ◽  
R. Matos ◽  
H. Rodrigues

Nowadays the built heritage has been recognized as one of the main sectors that can support the economic and sustainable development of countries. In the last years, the built heritage has been subject to several levels of interventions, being now clear its need for a proper maintenance and conservation management. However, in several cases, the maintenance faces lack of building records, which makes the maintenance a harsh, long, and expensive process. Therefore, there is an opportunity and need to apply new technologies, like Building Information Modelling (BIM), as supporting tool to the management of historical heritage. By so, the aim of this work was the development of a management system to be used as a supporting tool to the maintenance and conservation of the existent buildings, in historical context, facilitating to the interested parties the automated and digitized information needed to carry out the most varied tasks, with the particularity to be directly connected to the 3D-BIM model of the building. But in order to test the developed system (its applicability and functionality), it was in an early phase, applied to a pilot project with the significant heritage value. This work follows a development methodology applied to the case study and had different phases: (1) the case study was modelled in Autodesk Revit software, in whose model was inserted all the parametric information and associated metadata; (2) then, a support database of the management system was developed in Microsoft SQL Server, which will support all the information exported from the BIM model; (3) a web application was developed in C# through Visual Studio 2015, which works through and application programming interface (API) allowing the communication between the web application and the BIM model, allowing not only the interaction with the parametric information of this one, but also, a persistent access to a data management system (drawings, inspection reports, specifications, etc.) that has been created. The development of the management system and its application to the case study allows us to show its potential as a tool for the historical heritage management, contributing to its permanent and constantly updated management and cross off the fragmentation and loss of information therefore reducing the consequent investment in data collection.


Sign in / Sign up

Export Citation Format

Share Document