increasing the speed of processing supply chain decisions in uncertain conditions using the internet of things

New technologies have enabled companies to respond to market needs quickly and efficiently. in this context, the new concept of virtual network chain was formed. this research has studied a multi-period and multi-product network to the internet of things using virtual empowerment with the aim of maximizing profit and minimizing the processing speed of uncertain data. in addition to the usual cost, the virtualization cost is considered in the objective. to achieve on-line decision-making design in the network, an acceptable value for the transfer time is set. and to be close to reality, the product return rate and uncertain transportation costs are considered. the virtual closed-loop network (vclsc) is modeled with the probability of no interruption of intervals. the set has the loops of supplier, manufacturer, distributor, customer, recycling center and organ center, and the returned products are recovered or destroyed based on the quality. the model is solved robustly and its behavior is examined by analyzing the input programs. the results show that the processing is highly sensitive to the change of options.