Imran Ali Chaudhry1, Isam A-Q Elbadawi1, Amer Farhan Rafique2, Attia Boudjemline1, Mohamed Boujelbene1, Muhammed Usman3, Mohamed Aichouni1
Revista Internacional de Métodos Numéricos para Cálculo y Diseño en Ingeniería, Vol.38, No.2, pp. 1-13, 2022, DOI:10.23967/j.rimni.2022.05.002
- 02 June 2022
Abstract The majority of the flowshop scheduling literature focuses on regular performance measures like makespan, flowtime etc. In this paper a flowshop scheduling problem is addressed where the objective is to minimize completion time variance (CTV). CTV is a non-regular performance measure that is closely related to just-in-time philosophy. A Microsoft Excel spreadsheet-based genetic algorithm (GA) is proposed to solve the problem. The proposed GA methodology is domain-independent and general purpose. The flowshop model is developed in the spreadsheet environment using the built-in formulae and function. Addition of jobs and machines can be catered for without More >
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