Search

Your search keyword '"optimization problem"' showing total 3 results
Start Over Descriptor "optimization problem" Region thailand
3 results on '"optimization problem"'

1. A Mathematical Model of Local Drug Store Selection for Psychiatric Disorders in Thailand.

Author

Napatsawan Dedkhard and Warisa Wisittipanich

Subjects
DRUGSTORES, MENTAL illness, FACILITY location problems, MATHEMATICAL optimization
Abstract

This paper presents the mathematical model which considered the facility location problem for local drug stores for psychiatric disorders in Thailand. Due to the increasing number of patients in the hospital, Thailand has initiated several strategies and projects in order to reduce congestion in the hospital. A medicine distribution system is one of the projects to cope with hospital overcrowding. The initiative project especially focuses on the psychiatric patients who live in rural areas which is hard to access psychiatric services. The idea of this project is to select local drug store representatives as medicine distributors, so that psychiatric patients can directly go to pick up their medicine from those local drug stores according to hospital's prescriptions. Therefore, this paper studies on the design of a drug delivery system between hospital and local drug stores, and 7 provinces in Northern Thailand are chosen as a case study. The goal of a mathematical model is to determine the location of local drug store representatives that will be medicine distribution hubs for psychiatric patients. The objective of the model is to minimum number of local drug store representatives that can serve all patients in the system. The model is solved using LINGO 14.0 and the experimental results showed that the optimal solutions can be obtained for all provinces. [ABSTRACT FROM AUTHOR]

Published
2022

2. A Mathematical Model of Local Drug Store Selection for Psychiatric Disorders in Thailand.

Author

Dedkhard, Napatsawan and Wisittipanich, Warisa

Subjects
DRUGSTORES, MENTAL illness, MATHEMATICAL models, FACILITY location problems
Abstract

This paper presents the mathematical model which considered the facility location problem for local drug stores for psychiatric disorders in Thailand. Due to the increasing number of patients in the hospital, Thailand has initiated several strategies and projects in order to reduce congestion in the hospital. A medicine distribution system is one of the projects to cope with hospital overcrowding. The initiative project especially focuses on the psychiatric patients who live in rural areas which is hard to access psychiatric services. The idea of this project is to select local drug store representatives as medicine distributors, so that psychiatric patients can directly go to pick up their medicine from those local drug stores according to hospital's prescriptions. Therefore, this paper studies on the design of a drug delivery system between hospital and local drug stores, and 7 provinces in Northern Thailand are chosen as a case study. The goal of a mathematical model is to determine the location of local drug store representatives that will be medicine distribution hubs for psychiatric patients. The objective of the model is to minimum number of local drug store representatives that can serve all patients in the system. The model is solved using LINGO 14.0 and the experimental results showed that the optimal solutions can be obtained for all provinces. [ABSTRACT FROM AUTHOR]

Published
2022

3. Criminal Cases Forecasting Model using A New Intelligent Hybrid Artificial Neural Network with Cuckoo Search Algorithm.

Author

Wongsinlatam, Wullapa and Buchitchon, Suntaree

Subjects
SEARCH algorithms, STANDARD deviations, ALGORITHMS, CUCKOOS, COMPUTER science, ARTIFICIAL neural networks
Abstract

Criminal cases are social problems that concern the public order and good morals of the citizens as a whole. Research in criminology has recently focused on finding the root causes of criminal cases in order to identify the factors accelerating crimes and to find preventive methods. Thus, the study on the factors relating to the occurrence of crimes would benefit policy makers in dealing with crimes. This research focuses on a forecasting model of the criminal related factors in the Upper Northeastern Provinces of Thailand by using a New Intelligent Hybrid Artificial Neural Network (NIHANN) with a Cuckoo Search Algorithm (CS). The new CS-NIHANN algorithm, which is a combination of the CS with the NIHANN, is used in this research. In addition, the research selected relevant parameters that related to criminal cases in the Upper Northeastern Provinces of Thailand. The comparison of performances of the forecasting model for historical forecast part was calculated by Mean Absolute Percentage Error (MAPE), Root Mean Squared Error (RMSE) and Correlation Coefficient (R). The result shows that the CS-NIHANN algorithm trains fast, can obtain the global optimal solution, and has a good generalization performance for Multiple Input Single Output (MISO) and Multiple Input Multiple Output (MIMO). Furthermore, the result shows that the CS-NIHANN algorithm has a faster convergence than the CS-ANN algorithm in calculating an optimal solution to the criminal cases. [ABSTRACT FROM AUTHOR]

Published
2020

Catalog

Books, media, physical & digital resources
See catalog results