Flexible fuzzy-robust optimization method in closed-loop supply chain network problem modeling for the engine oil industry

This study models a closed loop supply chain network for the Iranian engine oil market. The primary goal of created model is to summarize tactical choices like choosing best degree discount and allocating flow products across facilities as well strategic decisions selecting supplier finding new facilities. three aim functions reducing overall expenses, optimizing employment rate, limiting unrealized demand are considered. novel flexible fuzzy robust optimization approach also controls uncertainty parameters meta-heuristics algorithm solving model. investigation showed that network's transportation operational expenses have risen rate dependability has grown. MOGWO was chosen an effective employed in numerical examples more significant size after final examination comparison indices between solution techniques (case study). According findings case study, four businesses, Behran, Sepahan, Iranol, Pars, were production hubs since they can generate 514 million liters annually. As consequence, building cost total 434321010 Rials, required than 37 thousand individuals, left 90 fuel short.