SCHEDULING PLATFORM DESIGN BASED ON CLOUD COMPUTING

• Main Author: Rianti
• Format: Theses
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/62375
• Institution: Institut Teknologi Bandung

Production scheduling is one of the most important and difficult activities in the company's production system. On the other hand, a lot of scheduling has been produced. So companies need a platform that bridges between companies and scheduling algorithm researchers. Companies also need a platform that facilitates the scheduling process so that it can be done anywhere and anytime. The researcher tries to make a schedule that can be offered as a service with non-physical resources. The conceptual model is designed as a benchmark for the build platform. The scheduling platform that is designed to provide ease of use contains a library of cloud computing based scheduling algorithms, so companies can easily implement scheduling according to their needs on the production floor. The input and output formats that have been provided are standardized in order to make it easier for users. The implementation of this design prototype uses the python programming language with a cloud server using Amazon Web Service (AWS). In this research, the prototype test that has been designed is implemented using several examples of case data studies. The results of testing the prototype platform are getting the appropriate schedule, so that the concept model can be used.