ICONS 2019 Paper Abstract


Paper ThPSTPos.4

TOUIL, ACHRAF (Labotatory of Engineering, of Industrial Management and Innovati), ECHCHATBI, ABDELWAHED (e.abdelwahed1975@gmail.com), CHARKAOUI, ABDELKABIR (Labotatory of Engineering, of Industrial Management and Innovati), Mousrij, Ahmed (FST-Settat)

Uncertain Chance-Constrained Model for Energy Consumption in the Permutation Flow Shop

Scheduled for presentation during the Regular Session "Poster session" (ThPSTPos), Thursday, August 22, 2019, 14:30−15:30,

5th IFAC International Conference on Intelligent Control and Automation Sciences, August 21-23, 2019, Queen’s University Belfast, Northern Ireland

This information is tentative and subject to change. Compiled on November 29, 2021

Keywords Swarm Intelligence (ant colony, particle swarm, differential evolution, cultural algorithms), Manufacturing, Performance specifications and operation constraints


This paper addresses the consumption energy in the permutation flow shop within the framework of uncertainty theory. It proposes an uncertain chance-constrained programming model. Moreover, we employ some properties of uncertainty theory to build the corresponding deterministic equivalent model which is solved by a discrete eagle strategy combined with the sine-cosine algorithm (SCA). Additionally, numerical results are reported to demonstrate the applicability of the proposed model. We have also tested the proposed algorithm with the well known PFSP benchmarks to show the performance of the proposed algorithm.


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