INFOR Information Systems and Operational Research, Год журнала: 2025, Номер unknown, С. 1 - 42
Опубликована: Фев. 20, 2025
Язык: Английский
Kybernetes, Год журнала: 2024, Номер unknown
Опубликована: Янв. 12, 2024
Purpose Nowadays, in many organizations, products are not delivered instantly. So, the customers should wait to receive their needed products, which will form a queueing-inventory model. Waiting long time queue may cause dissatisfaction and churn of loyal customers, can be significant loss for organizations. Although studies have been done on models, more practical models this area needed, such as considering customer prioritization. Moreover, minimizing total cost organization has overlooked. Design/methodology/approach This paper compare several machine learning (ML) algorithms prioritize customers. benefiting from best ML algorithm, categorized into different classes based value importance. Finally, mathematical model developed determine allocation policy on-hand each group through multi-channel service retailing minimize organization’s costs increase customers' satisfaction level. Findings To investigate application proposed method, real-life case study vaccine distribution at Imam Khomeini Hospital Tehran addressed ensure validation. The model’s accuracy was assessed excellent results generated by algorithms, problem modeling study. Originality/value Prioritizing with help optimizing waiting queues reduce could lead an levels among prevent churn. study’s uniqueness lies its focus determining queue, is relatively rare topic research queueing management systems. Additionally, obtained provide strong validation functionality.
Язык: Английский
Процитировано
7
Journal of Innovation & Knowledge, Год журнала: 2024, Номер 9(1), С. 100468 - 100468
Опубликована: Янв. 1, 2024
The development of urban digital platforms has changed its entrepreneurial environment and affected regional innovation vitality. We calculated the index 294 prefecture-level cities in China between 2013 2020 using principal component analysis method. used microdata enterprise registration information to describe activity. Digital have promoted activity significantly. Moreover, alleviating labour market distortions, optimizing financial environment, improving technological are virtual channels for increase Furthermore, play a more significant role promoting eastern region with better industrial structures. This impact nonlinear increasing "marginal effect" which faster platforms, effect on
Язык: Английский
Процитировано
7
Computers & Industrial Engineering, Год журнала: 2024, Номер 190, С. 110031 - 110031
Опубликована: Март 2, 2024
Язык: Английский
Процитировано
7
International Journal on Smart Sensing and Intelligent Systems, Год журнала: 2025, Номер 18(1)
Опубликована: Янв. 1, 2025
Abstract With the rapid technological advancement, convergence of Internet Things (IoT), blockchain, and machine learning (ML) has a significant revolution across industries, driving them in areas like Industry 4.0, smart cities, advanced transportation systems. This study presents comprehensive review integration IoT, ML technologies, highlighting their transformative impact on diverse industries. It addresses challenges scalability, security, data management posed by growth interconnected IoT devices, proposing solutions through algorithms blockchain for security immutability. By examining real-world applications reviewing existing literature, this underscores potential benefits complexities merging these while also identifying research future directions. Overall, it offers insights into innovative constructive collaboration ML, which become most important modern advances.
Язык: Английский
Процитировано
1
INFOR Information Systems and Operational Research, Год журнала: 2025, Номер unknown, С. 1 - 42
Опубликована: Фев. 20, 2025
Язык: Английский
Процитировано
1