Right to Repair - Service Management Solutions
by Ashok Balasubramanian Updated: Sep 2, 2021
Why aren't consumers allowed to fix their gadgets on their own terms? Advocates worldwide have been attempting to push for effective' right to repair' laws. The 'right to repair' movement has faced resistance from tech giants such as Apple, Amazon, Tesla, and Microsoft. They counter that opening up their design and IP to third-party services, or repairers could lead to IP misuse and reduce the safety and security of their devices.
The goal of the 'right to repair' movement is to get manufacturers of devices to make spares, tools, and the know-how to repair devices available to the public to increase the lifespan of products, improve recycling and eliminate waste.
US President Joe Biden signed an executive order calling on the Federal Trade Commission to curb restrictions imposed by manufacturers that limit consumers' ability to repair their gadgets on their terms. The UK also introduced right-to-repair rules that make it much easier to buy and repair daily-use gadgets.
kandi collection on Right to Repair - Service Management Solutions showcases popular libraries across stand-alone Repair and Service Management Solutions, Service Management Integrations to ECommerce and ERP and Predictive Maintenance libraries.
Repair and Service Management Solutions
Servo by fpsw, RepService by victordomingos, field-service by OCA, otrs by OTRS, felicity by Unotechsoftware and Geoclarity by babupriyavrat provide Repair and Service Management capabilities
Service Management for Authorised Apple Service Providers
Python 27 Version:Current License: Permissive (BSD-2-Clause)
Database application for in-store registering of warranty and service/repair processes in general. It enables store staff to keep an organized log of the products left for repair by costumers, their route during the process and the communications made. Processes that require special attention, for instance because of a delay in delivery or while waiting for an answer from the costumer, are highlighted in the main list, in order to allow proper intervention by the staff team.
Python 10 Version:v.0.21 License: Strong Copyleft (CC-BY-SA-4.0)
Field Service Management
Python 113 Version:Current License: Strong Copyleft (AGPL-3.0)
((OTRS)) Community Edition is one of the most flexible web-based ticketing systems used for Customer Service, Help Desk, IT Service Management. Please note that ((OTRS)) Community Edition offers limited OTRS functionality.
Perl 783 Version:Current License: Others (Non-SPDX)
Felicity is an open soure integrated platform that allows convergence of Service Management, Operations Management, Asset Management into a versatile IT Service framework. The system has an internal workflow engine that powers IT Service Management methodologies covering the area of Request, Incident, Problem and Change Management.
Perl 10 Version:v2.0.1 License: Others (Non-SPDX)
Field Service management System
PHP 4 Version:Current License: No License
Service Management Extensions for ECommerce and ERP
ofbiz-framework by apache and woocommerce-return-warranty-management by ChiliDevsTeam enable Service Management in ECommerce and ERP
Apache OFBiz is an open source product for the automation of enterprise processes. It includes framework components and business applications for ERP, CRM, E-Business/E-Commerce, Supply Chain Management and Manufacturing Resource Planning. OFBiz provides a foundation and starting point for reliable, secure and scalable enterprise solutions.
Java 526 Version:Current License: Permissive (Apache-2.0)
An extension for manage return and warranty system (RMA) for WooCommerce shop
PHP 2 Version:v1.2.0 License: No License
Experiment with Predictive Maintenance
Try Predictive-Maintenance-using-LSTM by umbertogriffo, AI-PredictiveMaintenance by Azure and predictive-maintenance-using-machine-learning by awslabs to experiment with Predictive Maintenance
Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.
Python 493 Version:Current License: Permissive (MIT)
Set up end-to-end demo architecture for predictive maintenance issues with Machine Learning using Amazon SageMaker
Python 46 Version:Current License: Permissive (Apache-2.0)