An AUGMECON2VIKOR Algorithm for a Multi-objective Model in a Sustainable Manufacturing System Under Reliable Constraints

Recognizing suitable manufacturing methods for goods can be taken into account as a crucial manufacturing task resulting in the optimization of activities. It has gained significance in the food industry owing to the distinct limitations and assumptions posed by perishable as well as non-perishable goods in this issue. Therefore, this research presents a novel mathematical formulation based on knowledge discovery and an assignment model for the optimization of manufacturing systems for perishable as well as non-perishable tailored to satisfy their unique features. In the proposed formulation, three objectives of minimizing the makespan, the production costs, and the energy consumption are considered. Two numerical examples considering both small and medium sizes are applied to appraise the performance of the combination of an improved version of epsilon-constraint augmented (AUGMECON2) and VlseKriterijumska Optimizacija I Kompromisno Resenje in Serbia (VIKOR), namely AUGMECON2VIKOR. The sensitivity analysis represents the positive reliable constraint impacts, influencing objective functions.