Title: Modelling, simulation and optimisation of medical enterprise warehousing process based on FlexSim model and greedy algorithm

Authors: Hexu Wang; Fei Xie; Jing Li; Fei Miu

Addresses: School of Business, Xijing University (XJU), Xi'an, Shaanxi, China; Guanghua School of Management, Peking University (PKU), Beijing, China ' School of AOAIR, Xidian University (XDU), Xi'an, Shaanxi, China; Department of Electronic Engineering, Tsinghua University (THU), Beijing, China ' School of Business, Xijing University (XJU), Xi'an, Shaanxi, China ' Rui Jin Hospital, School of Medicine, Shanghai Jiao Tong University (SJTU), Shanghai, China

Abstract: With the modern logistics gradual transformed from labour-intensive to technology-intensive industry, artificial intelligence technology is widely used in logistics scheduling optimisation. As the warehouse management is one of the most important activities of logistics, the operation level of warehousing has a direct impact on the efficiency and total cost of the whole supply chain. Therefore, this paper takes the medical enterprise as the research object, investigates the current situation of its warehousing process, and finds out the existing problems. Then, FlexSim modal and greedy algorithms are used to simulate and optimise the operation process. After optimisation, the efficiency of medical storage has been improved obviously, and the operation cost has been reduced significantly, so as to realise the lean management of the whole medical supply chain.

Keywords: medical supply chain; medical warehousing; FlexSim; greedy algorithm; artificial intelligence application.

DOI: 10.1504/IJBIC.2022.120756

International Journal of Bio-Inspired Computation, 2022 Vol.19 No.1, pp.59 - 66

Received: 16 Jul 2021
Accepted: 24 Sep 2021
Published online: 07 Feb 2022 *

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