Session: DFMLC-05-01-Design for Additive Manufacturing 1

Paper Number: 90597

90597 - Incorporating Truck-Drone Bimodal Delivery System Into Mobile Additive Manufacturing Considering Preferred Delivery Time-Window and Optimal Printing Sequence 

Additive manufacturing technology is one of the leading technologies of the latest phase of the industrial revolution, Industry 4.0, and is attracting significant attention from both academia and industries. Truck-drone bimodal delivery system was studied and applied for multiple decades due to its high cost-savings and high customer satisfaction, and currently received multiple attentions. However, to the best of our knowledge, there is no prior work combining additive manufacturing and truck-drone delivery system, although each of them has been widely implemented. This paper proposes an initial investigation of combining these two areas and aims to fill this gap by integrating truck-drone delivery system with mobile additive manufacturing while also considering the customers’ preferred delivery time-window and the optimal printing sequence. A mixed integer linear programming model is proposed to establish this innovative mechanism. A computational case study was applied to validate the proposed model. The results confirm the applicability and effectiveness of the proposed model. The results also indicate that the maximum drone flight range and the printing job complexity have the significant impacts on the overall cost performance and satisfying the customers’ on-time delivery requirements. The proposed mechanism is applicable to multiple industrial sectors, including manufacturing, after-sales service, and warehouse inventory management.  

Presenting Author: Junfeng Ma Mississippi State Univ

Presenting Author Biography: Junfeng Ma, Ph.D., is an assistant professor in Dept. of Industrial and Systems Engineering at Mississippi State University. He got dual title Ph.D. degree in Industrial Engineering and Operations Research from The Pennsylvania State University, MS degree in engineering management from Wilkes University, and BS degree in mechanical engineering and automation from Xi'an Jiaotong University in China. His primary research interest concentrates on utilizing operations research and data analytics tools to deal with sustainability related complex system decision making. The implementations include logistics and transportation system, design and manufacturing system, and healthcare and education system. He is an active member of IISE, ASME, INFORMS and ASEE.

Authors: