A mathematical model in the smart supply chain based on ICPT in the MTS environment

Due to the increasing requirement in the manufacturing industry and the rapid development of technology, the traditional supply chains face many challenges such as changes in demand and transportation problems so that they need the flexibility in capacity, lead time, and distribution channels. In this research, in order to overcome the problems of the traditional supply chain, a supply chain based on ICPT in the MTS production environment called smart supply chain is considered where including four levels of manufacturer, warehouse, distributor, and customer that the goal is to maximize profits and minimize lead time. At first, a Mixed Integer Non-Linear Programming was proposed for the problem, then a sample problem was solved by the augmented ε-constraint technique in GAMS and the results were analyzed. Two scenarios of increment of demand and adding a new product were examined which all of them showed the accuracy of the model and the efficiency of the proposed method.