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To Develop a Knowledge-Based System for Parallel Machine Operations Scheduling

Ramli, Mohd Razman (2004) To Develop a Knowledge-Based System for Parallel Machine Operations Scheduling. Universiti Teknologi Petronas. (Unpublished)

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Abstract

As the industrialized world develops, more and more resources are becoming critical. Machines, manpower and facilities are now commonly thought of as critical resources in production and service activities. Scheduling these resources leads to increased efficiency, utilization, and ultimately, profitability. Current operation scheduling methods require complex mathematically modeling techniques that demand the substantial and extensive knowledge. Otherwise, the simple methods may not provide good results. The project is intended to engage in the issue of parallel machine operation scheduling from the knowledge based system perspective. The deal between both fields will emerge a new development of formulation and integration in artificial intelligence at area of industrial scheduling. Eventhough there are diversity techniques in manufacturing industry, the scope of the study is only limited to identical parallel operation scheduling due to time constraint towards the completion of the project. The goal of this project is to produce a working model of knowledge system for parallel machine operation scheduling. The execution of the project will be conducted in two semesters. For the First Semester, the data gathering and carrying out the associated case studies were explicitly nurtured as to aid better understanding of the project. The case studies performed were: (1) Parallel Processing - Jobs of Equal Weight, (2) Parallel Processing - Weighted Jobs, and (3) Parallel Processing - Jobs with Due Dates. In the Second Semester, the knowledge system was effectively developed. The development of the knowledge system was done in the expert interface which consists of six parts. The first step is theory familiarization, followed by user interface development, the inference engine development, dry run or testing and verification of the system. When all the steps are taken, the knowledge system can be considered as complete.

Item Type: Final Year Project
Academic Subject : Academic Department - Mechanical Engineering - Materials - Engineering materials - Metals alloys - Fabrication
Subject: T Technology > TJ Mechanical engineering and machinery
Divisions: Engineering > Mechanical
Depositing User: Users 2053 not found.
Date Deposited: 09 Oct 2013 11:08
Last Modified: 25 Jan 2017 09:46
URI: http://utpedia.utp.edu.my/id/eprint/8711

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