[PDF] Top 20 A robust multi-objective optimization model for sustainable closed-loop supply chain network design under demand uncertainty

... logistics network planning is also in the primary development ...the network planning is considered to establish a scientific and reasonable clothing closed-loop supply chain ... See full document

... environmental supply chain design. Pishvaee et al. [9] introduced Robust Possibilistic Programming (RPP) as a programming approach to coping with uncer- tain parameters in their ... See full document

... a model for designing a reliable network of facilities in a CLSCN under ...programming model was developed, which minimizes the total costs and the expected transportation costs after failure ... See full document

... on supply chain performance and showed that the purchasing based on social criteria has direct and positive impacts on suppliers ...mathematical model in their ...to model and analyze ... See full document

... MILP model in a reverse logistic context in which queueing relationships are considered to incorporate a product’s cycle time and inventory holding ...nonlinear model, they proposed an algorithm based on ... See full document

... a supply chain is that the researchers may know the precise value of some parameters while they may not be sure about the value of some ...such uncertainty using the fuzzy logic approach (Soleimani ... See full document

... Counterpart Model Reliable supply chain network models perform efficiently while disruptions ...this model, the flow decision variables depend on defined scenarios and location ... See full document

... three-level supply chain networks under uncertain environment through finite discrete ...a robust optimization model and formulated the model as a two-objective ... See full document

... the uncertainty in human’s judgments. The proposed QFD model is used to evaluate external suppliers, remanufacturing subcontractors, and refurbishing ...programming model is proposed to configure the ... See full document

... resilient multi-echelon closed-loop location-allocation-inventory problem (RMCLIP) is presented in which some strategic and tactical decisions are analyzed in ...pricing model based on ... See full document

... designing model, which locate facilities in the reverse logistics networks ...linear model minimizing transportation ...a model considering both forward and backward flows, ...The design of ... See full document

... the closed-loop supply chain. For example, a multi-product, multi-period model to design closed-loop supply chain network ... See full document

... Robust optimization is one of the new methods in mathematical planning that has attracted the attention of many ...researchers. Robust optimization is a response to uncertainty of ... See full document

... to model financial aspects of the ...simulation model to consider both environmental and financial aspects of a chemical supply ...mathematical model for supply chain planning ... See full document

... mathematical model to integrate the operational and nancial supply chain management in the inventory control ...The model decides on the optimal purchasing order quantity with respect to the ... See full document

... novel multi-objective model for dynamic and integrated network design of sustainable closed-loop supply chain network is proposed, which aims ... See full document

... an optimization model for the design of a capacitated multi-product reverse net- work with ...limits, multi-product management and uncertainty on product demands in order to ... See full document

... flexible supply chain facing operational risks were examined by Esmaeilikia et ...a supply chain including producer-distributors for delivering a type of product to ...reliable supply ... See full document

... CLSC network and used a Memetic algorithm to solve ...possibilistic optimization model that minimizes the total cost of CLSC and the total tar- diness of delivered ...fuzzy multi- ... See full document

... of Supply Chain Network Design (SCND) have seen a rapid development in applying the stochastic models to get closer to real-world ...to design a closed-loop supply ... See full document