scholarly journals Cooperative and Noncooperative Games for Capacity Planning and Scheduling

Author(s):  
Nicholas G. Hall ◽  
Zhixin Liu
2008 ◽  
Vol 24 (5) ◽  
pp. 404-414 ◽  
Author(s):  
Ali Afzal ◽  
A. Stephen McGough ◽  
John Darlington

2022 ◽  
Vol 30 (8) ◽  
pp. 0-0

Artificial Intelligence (AI) significantly revolutionizes and transforms the global healthcare industry by improving outcomes, increasing efficiency, and enhancing resource utilization. The applications of AI impact every aspect of healthcare operation, particularly resource allocation and capacity planning. This study proposes a multi-step AI-based framework and applies it to a real dataset to predict the length of stay (LOS) for hospitalized patients. The results show that the proposed framework can predict the LOS categories with an AUC of 0.85 and their actual LOS with a mean absolute error of 0.85 days. This framework can support decision-makers in healthcare facilities providing inpatient care to make better front-end operational decisions, such as resource capacity planning and scheduling decisions. Predicting LOS is pivotal in today’s healthcare supply chain (HSC) systems where resources are scarce, and demand is abundant due to various global crises and pandemics. Thus, this research’s findings have practical and theoretical implications in AI and HSC management.


2004 ◽  
Vol 37 (4) ◽  
pp. 317-322
Author(s):  
Bozena Skolud ◽  
Marc Zolghadri

2011 ◽  
Vol 20 (No. 1) ◽  
pp. 31-37 ◽  
Author(s):  
S. Simeonov ◽  
J. Simeonovová

Nowadays manufacturers are facing rapid and fundamental changes in the ways business is done. Producers are looking for simulation systems increasing throughput and profit, reducing cycle time, improving due-date performance, reducing WIP, providing plant-wide synchronization, etc. Planning and scheduling of coffee production is important for the manufacturer to synchronize production capacity and material inputs to meet the delivery date promised to the customer. A simulation model of coffee production was compiled. It includes roasting, grinding and packaging processes. Using this model the basic features of the coffee production system are obtained. An optimization module of the simulation SW is used for improving the current structure of the production system. Gantt charts and reports are applied for scheduling. Capacity planning problems related to coffee production are discussed.  


Author(s):  
Dušan Malindžák ◽  
Peter Kacmary

Each company is original from the point of production processes. Application of standard enterprise information system (SAP, proAlpha, Baan, etc.) need difficult adaptation, especially for conditions of small or medium enterprises (SMEs) and the price of that system is relatively high. Therefore, the proposed capacity planning model is much more suitable for the conditions, requires and demands of SMEs. Specifics of production processes of RS Ltd. are: - combinations of discrete and continuous processes, - this small company is connected to a supply chain (KANBAN) with its mother company, which defines the level of some chosen products in the expedition warehouse by the end of a month. For the above mentioned reason it had to be designed the new original production logistic system.


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