Author/Authors :
Kargari Esfand Abad, Hesam Department of Industrial Engineering - Faculty of Industrial and Mechanical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran , Vahdani, Behnam Department of Industrial Engineering - Faculty of Industrial and Mechanical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran , Sharifi, Mani Department of Industrial Engineering - Faculty of Industrial and Mechanical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran , Etebari, Farhad Department of Industrial Engineering - Faculty of Industrial and Mechanical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran
Abstract :
Cross docking is a logistics strategy that strives to reduce inventory holding costs, shipping costs,
and delays in delivering the products. In this research, an optimization model is presented for split loading
and unloading products by suppliers and customers, vehicle routing with fuzzy possibilistic time window
constraints among them, assignment of vehicles to cross dock, consolidation and integration of products in
cross dock, and allocation of sorted products to outbound vehicles. The mathematical model provided in this
study has three objective functions. The first and second objectives minimize total cost and fuel consumption,
and the third one maximizes satisfaction degrees of suppliers and customers. With the intention of solving the
model, two multi-objective meta-heuristic algorithms, namely Multi-Objective Grey Wolf Optimizer
(MOGWO) and Multi-Objective Imperialist Competitive Algorithm (MOICA) were utilized. With the intention
of illustrating the accuracy of the suggested model and solution approaches, a broad range of numerical
instances were considered and the results were investigated.
Keywords :
Split pickup and delivery , Satisfaction , Integration , Cross docking , Consolidation
