Application of fuzzy logic to multi-objective scheduling problems in robotic flexible assembly cells
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Date
2013
Authors
Abd, K.K.
Abhary, K.G.
Marian, R.M.
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Automation, control and intelligent systems, 2013; 1(3):34-41
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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.
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Copyright 2013 The Author(s). The authors' publications in SciencePG are distributed under Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/)