This dissertation develops a multi-objective framework for optimal replenishment strategy for perishable product to optimize revenue and transportation costs considering shelf life and delivery planning objectives under varying price scenario. Varying prices restrictions of shelf life time for product is introduced into this model to maximize the total profit of supply chain for perishable product. Using the frameworks developed, optimal delivery schedules for perishable products when the product prices vary based on the deteriorated or remaining shelf life of the product are determined. In this dissertation, mixed integer nonlinear (MINLP) mathematical models are developed for multi-objective problems with an objective to maximize revenue while taking into consideration shelf life, and minimization of transportation cost in order to determine the best schedule for delivery. The objective of the next research is in the study of location-allocation of depots for the development of supply chains of perishable products in which the prices depend on the time of delivery. This study developed models with an objective to maximize revenue while determining the need for adding new depots in order to minimize the total cost of the supply chain while meeting the due dates for delivery of the perishable product. MINLP models are developed for maximization of revenue while taking into consideration shelf life, the costs associated with depots, and minimization of transportation cost while meeting due dates for delivery. The last research objective in this dissertation develops a multi-objective optimal replenishment strategy for perishable product to optimize revenue and transportation costs considering shelf life and flexible customer demands. This research extends the initial objective to include demand profiles for multiple days for each retailer with an objective to maximize the total profit of the supply chain for perishable product.