Integrated Distributed Production and Distribution Problem for Minimizing Earliness and Tardiness Penalty
Document Type
Conference Proceeding
Publication Date
1-1-2021
Abstract
Production and distribution play essential roles in a supply chain. How to integrate them for overall high performance has become an important problem in academia and industry. This work proposes an intelligent optimization method to solve an Integrated Distributed Production and Distribution problem with Time-windows (IDPDT). We need to assign the jobs among flow shops and deliver the products by vehicles to customers within required time windows. Accordingly, a mathematical programming model is built to minimize total weighted earliness and tardiness and an improved brainstorm optimization algorithm is developed by fully considering problem characteristics. Through a comparison with a memetic algorithm, the experiment results indicate that the developed approach is effective in handling the investigated problem.
Identifier
85126659389 (Scopus)
ISBN
[9781665440486]
Publication Title
Icnsc 2021 18th IEEE International Conference on Networking Sensing and Control Industry 4 0 and AI
External Full Text Location
https://doi.org/10.1109/ICNSC52481.2021.9702229
Grant
2020RWG011
Fund Ref
National Natural Science Foundation of China
Recommended Citation
Hou, Yushuang; Fu, Yaping; Zhou, Mengchu; Guo, Xiwang; and Qi, Liang, "Integrated Distributed Production and Distribution Problem for Minimizing Earliness and Tardiness Penalty" (2021). Faculty Publications. 4642.
https://digitalcommons.njit.edu/fac_pubs/4642