<p>Some products may degrade while being stored, transported or produced, which negatively affects the supply chain in terms of overall profit. In this study, a two-stage supply chain is considered in which the primary chain consists of a manufacturer, retailer, and supplier. In order to reduce the degradation of raw material at the supplier's end, a manual inspection policy is used. During production, defectives are reworked to convert them into original items. The retailer uses a combined online and offline sales channel. A utility-based method has been suggested to reflect consumers' decisions among the various choices. The deteriorated units recovered from the primary supply chain are supposed to be recycled in the secondary chain. The global optimal solution for the optimization issue is proposed with the help of metaheuristics, viz., Differential Evolution (DE) and Particle Swarm Optimization (PSO). Taking a suitable example, metaheuristics implemented are compared with a numerical optimization scheme namely Sequential Quadratic Programming (SQP). The validity of the proposed model and its efficacy in maximizing the combined profit of the supply chain of probiotic food is established via numerical simulations. The managerial insights are also facilitated based on numerical and sensitivity outcomes.</p>