Investigation on task scheduling for robotic system in 5G manufacturing industry

Wan, Wing Sheng (2021) Investigation on task scheduling for robotic system in 5G manufacturing industry. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

Task Scheduling is a tool that may help in any type of industrials and smoothen the process flow in production lines specially manufacturing sector. With the development of 5G technology, the robotic system has been bought into industrials but there may not apply them in an optimal performance such as robots cannot complete the tasks on time. Even manufacturer plan the task flow by using project management, an error may occurred and make the tasks overlap to each other because they are using the traditional scheduling method. It may waste a lot of time between the tasks and robots will get into stand-by mode to wait for the next tasks if the scheduling is failed. To obtain a flexible scheduling with the shortest total complete time of all the tasks, an algorithm is needed to arrange the tasks accordingly. Genetic Algorithm (GA) is applied on task scheduling and it provided the better solution from previous result or arrangement due to iteration. In this thesis, an analysis involves multi robots to complete various industrial operations, consisting of multi-tasks. For saving the time during processing and costs in production, GA may help on it with having the optimal value about total complete time to avoid any wastage. In short, manufacturer will have a higher productivity and better performance among the robots when applied a suitable Task Scheduling in the industry or workplace.

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