چكيده به لاتين
Perishable products due to special characteristics such as short life, special storage conditions, special equipment for storage, production, distribution, transportation, etc. are introduced as an important category of goods that need special attention in supply chains and in the literature. They have always been of interest to researchers. There is a group of perishable goods that must always be stored, transported, and distributed under certain temperature controls, and therefore need to be tracked throughout the chain. The supply chain of these goods is called the cold supply chain. The cold chain process is used to maintain, extend and ensure the shelf life of products, especially ornamental flowers. This research is presented for the application of flower industry and qualitative evaluation of flower chain with Sustainability and under uncertainty. In this research, a Scenario-based Random Mathematical Model is presented considering the possible stochastic disturbance for the development and design of a Sustainable multi-product supply chain including three levels of supplier, hub or distribution center and customer for ornamental flowers. After harvesting on the farms and supply, the flowers are transported to the hub or distribution center through suppliers. Hubs or distribution centers include two sections of transit collection and centers for processing or storing flowers. This chain is designed according to the quality and temperature index in harvesting and supply, collection, processing and storage facilities. In the flow path and movement from one level to another, the quality decreases due to the logistical conditions and the duration of the logistic operation. The goals include three aspects: economic, environmental and social. The economic aspect includes reducing costs and increasing profits, the environmental aspect to reduce the effects of greenhouse gases, waste due to the nature of corruption and short life, and the social aspect includes increasing employment, workers' wages due to uncertainty and disruption. The scenario-based optimization approach has been used for robustness and stability against uncertainty. GAMS software has been used to solve the proposed model with the generalized constraint optimization approach of Epsilon.
