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Application of Fuzzy Logic to Multi-Objective Scheduling Problems in Robotic Flexible Assembly Cells

Year: 2013

Type: article

Abstract: This paper is aimed at developing a methodology to solve a multi-objective problem in robotic flexible assembly cells. The proposed methodology is based on three main steps: (1) scheduling of the RFACs using different common rules, (2) normalisation of the scheduling outcomes, and (3) selection of the optimal scheduling rules, using a fuzzy inference system. In this paper, four rules, namely short processing time, long processing time, earlier due date and random, are examined. Four objectives are considered simultaneously: scheduling length, total transportation time, utilisation rate and workload rate. A realistic case study is provided for demonstrating applicability of the suggested methodology. The results show that the methodology is practical and works in RFACs settings.

Source: Automation Control and Intelligent Systems

DOI: 10.11648/j.acis.20130103.11

Author: Khalid Abd

Institutions: University of South Australia, University of Technology - Iraq

Language: English

Topic: Scheduling and Optimization Algorithms

Subfield: Industrial and Manufacturing Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: bronze

OpenAlex ID: W2139386265

FWCI: 2.211

Cites: 32

Cited by: 6

Related to: 10