Path optimization for joint distribution of medical consumables under hospital SPD supply chain mode

Gao, Gengjun; Che, Yuxuan; Shen, Jian

doi:10.1007/s10878-019-00506-x

Cited by 5 publications

(2 citation statements)

References 7 publications

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“…This mode solves the drawbacks existing in the traditional healthcare supply chain, optimizes the structure of the healthcare supply chain, and improves the efficiency of the healthcare supply chain. There is also a study on the SPD mode of the healthcare supply chain ( 23 ), which refers to a medical supplies management mode integrating supply/processing/distribution links, and its core carrier is a medical consumables supply chain platform, aiming to help medical institutions realize refined operation and cost control. The SPD mode comprehensively takes into consideration the operation rules and characteristics of each management link of medical consumables in hospitals, as well as the interconnection between links.…”

Section: Literature Reviewmentioning

confidence: 99%

Intelligent selection of healthcare supply chain mode – an applied research based on artificial intelligence

Long,

Lu,

Chen

et al. 2023

Front. Public Health

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IntroductionDue to the inefficiency and high cost of the current healthcare supply chain mode, in order to adapt to the great changes in the global economy and public health, it is urgent to choose an effective mode for sustainable development of healthcare supply chain. The aim of this paper is to use artificial intelligence systems to make intelligent decisions for healthcare supply chain mode selection.MethodsFirstly, according to the economic benefits, social benefits and environmental benefits of healthcare supply chain, this paper identifies different healthcare supply chain modes in combination with artificial intelligence technology. Secondly, this paper presents the intelligent choice optimization method of healthcare supply chain mode based on deep reinforcement learning algorithm. Finally, the effect of artificial intelligence in healthcare supply chain mode selection is verified by simulation experiment.Results and DiscussionThe experimental results show that healthcare supply chain mode selected by artificial intelligence is basically consistent with the target mode, while healthcare supply chain mode selected by the basic selection method, BP neural network method and big data method is different from the target mode, which indicates that AI has more advantages in the selection of medical supply chain mode. Therefore, we recommend the application of artificial intelligence to healthcare supply chain management. This study not only makes up for the ineffective problems of existing methods, but also makes up for the gaps in the application of AI technology in the field of healthcare supply chain. The scientific value of this paper is that the proposed framework and the artificial intelligence algorithm enrich the relevant theories of healthcare supply chain research and provide methodological guidance for intelligent decision-making of healthcare supply chain. At the same time, for medical enterprises, this research provides a new practical guideline for the application of artificial intelligence in the sustainable development and modern management of healthcare supply chain.

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Section: Literature Reviewmentioning

confidence: 99%

Intelligent selection of healthcare supply chain mode – an applied research based on artificial intelligence

Long,

Lu,

Chen

et al. 2023

Front. Public Health

View full text Add to dashboard Cite

show abstract

“…Gearing toward the more sophisticated SPD, researchers adopted an optimization approach to identify the routes between distributing and consuming nodes. Compared to the pre-optimization distribution scheme, the optimized distribution route lowers hospital distribution costs while improving medical service levels and management efficiency (Gao et al 2021). Despite the noticeable expansion of the SPD deployments and desired results, all prior studies only involved medicine used or distributed inside hospitals.…”

Section: Literature Reviewmentioning

confidence: 99%

Third Party Logistics–SPD Model in Hospital Supply Chain

Lapmool,

Kritchanchai

2023

Proceedings of the International Conference on Industrial Engineering and Operations Management

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The complexity of the hospital supply chain results in numerous unfavorable outcomes, including out-of-stock situations, excessive inventory levels, product expiration, and medical errors. SPD, which refers to supply, processing, and distribution, has come to light as a solution for mitigating some complexities-related burdens. Nevertheless, the SPD is still immature and has limited applications. Adopting supply chain management approaches successfully implemented in other industries with the desired outcomes to strengthen the SPD's capabilities is therefore promising for the hospital. This study's objectives are to examine the third-party logistics (3PL) model functioning as SPD and to enhance its performance by incorporating it with vendor-managed inventory (VMI) and inventory policies in managing the SPD of continuous ambulatory peritoneal dialysis (CAPD) service. Therefore, this research proposes four logistics models, including an SPD with VMI (SPD-VMI) and three SPD-VMI models integrated with three different inventory policies, which include average inventory level and out-of-stock (OOS), are analyzed using discrete event simulation (DES). The results show that integrating the SPD with VMI improves inventory levels and out-of-stock incidents. When three inventory models are implemented, the results indicate a comparable out-of-stock reduction for all three policies. Additionally, the SPD-VMI with an order-up-to policy has the best performance in minimizing inventory and out-of-stock occurrences.

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Literature review on pharmaceutical supply chain management development toward the circular economy

Suhandi¹,

Chen²

2023

AIP Conference Proceedings

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Path optimization for joint distribution of medical consumables under hospital SPD supply chain mode

Cited by 5 publications

References 7 publications

Intelligent selection of healthcare supply chain mode – an applied research based on artificial intelligence

Intelligent selection of healthcare supply chain mode – an applied research based on artificial intelligence

Third Party Logistics–SPD Model in Hospital Supply Chain

Literature review on pharmaceutical supply chain management development toward the circular economy

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