چكيده به لاتين
Abstract:
Nowadays, organizations are outsourcing their logistic activities in order to focus more on their key strengths. Third party logistics companies (3pl) are companies to which, manufacturing or service organization, outsource all or part of their logistic activities. These companies are often expert in the fields of transportation and warehousing, and are able to adapt their services to different types and varieties of products.
One of the ways by which, 3pl companies optimize their logistics network design, is synchronization and integration of the flows. In order to achieve this integration, consolidation hubs are used to receive sent flows from sources and send them to consumers after being aggregated and stored.
This thesis represents a mathematical model for third-party supply chain network design in which two goals of minimizing cost and time are considered and a four level network is designed that consolidation hubs and distributors are located considering their possibility of disruption. One of the most important issues considered in this model is products rottenness and its relationship with consolidation hub failure. In case of hubs or distribution centers disruption, backup hubs or distribution centers take their place.
Due to the nature of uncertainty in real world and volatility for parameters, uncertainty is included in hubs and distribution centers disruption parameters and is estimated using possibilistic programming. Finally, a case study for drug distribution company Hijrat is used to evaluate performance if the represented model, and model results are analyzed.
Keywords: third party logistics, disruption, uncertainty, products rottenness, possibilistic programming, four level supply chain network, consolidation hubs.
