Ali Abedini, Hamid Reza Irani, Hamid Reza Yazdani,
Volume 13, Issue 1 (5-2019)
Abstract
Background and Aim: In our country because of the security of production and distribution of medicine, Pharmaceutical producers and distributors are known for profitability. The weaknesses in this industry include low productivity in the raw material supply, inefficiency in Pharmaceutical distribution and increasing corporate finance costs. Therefore, the purpose of this research is to identify and prioritize the critical success factors in SCM and distribution of the pharmaceutical industry in the country to provide effective decision making in this field.
Materials and Methods: The research consists of two phases of library and surveying. In the first phase, by searching in scientific databases, CSFs in the supply chain and distribution were identified and were categorized in 25 dimensions. Based on the Pareto principle 9 dimensions out of 25 divided dimensions became the pairwise comparison in DEMATEL method to determine the impact and effectiveness. The statistical Society of this research is pharmaceutical producers and distributors in 2018. We have used 13 experts in marketing, SCM, and distribution of pharmaceuticals companies as samples. For data analysis, Excel and MATLAB software were used.
Results: Senior management commitments, use of information technology and government intervention were the first three influential factors and processes, service quality and trust were the first three effective factors. Also, the most challenging factor was the senior management commitment and the least interactive factor was government intervention.
Conclusion: Managers can not consider all the factors; they should invest in influential and challenging factors.
Mohammad Reza Mehregan, Shahrokh Yousefzadeh, Ali Reza Hatam Siahkal Mahalle,
Volume 15, Issue 2 (5-2021)
Abstract
Background and Aim: The overall goal of the medical department is to develop and manage an efficient and effective supply chain. Intrinsic instability and unpredictability of treatment needs to require a flexible supply chain. Agility reflects the hospital's response to environmental changes, and agile hospitals are able to provide appropriate services to the patients. Hospital supply chain management agility needs to find the main aspects affecting the relationship and communication between them and to analyze the dimensions together. The purpose of this study was interpretive-structural modeling and analysis of dimensions of agile hospital supply chain management.
Materials and Methods: The research design combined descriptive - survey exploratory approach to the future. The population study were doctors, nurses and staff at the University of Medical Sciences. The Delphi technique was used to determine the dimensions of agility and the interpretive-structural modeling approach was used for analysis and modeling. Mick Mac software was used to analyze the dimensions of agility.
Results: The final model of agile hospital supply chain management with 16 dimensions had 8 levels, which was at the highest level of cost reduction and at the lowest level of organizational leadership commitment. The results indicate that leadership commitment is the foundation of supply chain agility in the hospital. Knowledge management variable had low impact and effectiveness and was known as a secondary leverage variable. The results showed that most agile supply chain management aspects of the main causes of complex communication and interaction, and the importance of agility in the hospital of the show.
Conclusion: The analysis and interpretation of functional from the aspect of Impact and Influence of agility dimensions in hospital environment Showed that, Dimensions of strategic planning, human resource development and staff skills training, human resource management and employee satisfaction, process management, process integration and organizational transformation, flexibility, organizational communication development and information management integration, service quality management and continuous improvement, acceptance of new technology and new ideas, speed of service, patient understand and satisfaction, monitor, find best responds demand and market sensitivity in the strategic area are located and They cause model instability and With high impact and high influence, They play an important role in the agility of hospital supply chain management.
Setareh Talayeh, Farzad Firouzi Jahantigh, Fatemeh Bahman,
Volume 17, Issue 5 (12-2023)
Abstract
Background and Aim: The tourism industry plays a very important role in the economic cycle of society. Medical tourism, as one of the types of tourism industries, has a direct result in globalizing health care. Therefore, by strengthening the supply chain in this area, a very high added value can be achieved. For this reason, the present study provides a conceptual framework for predicting the demand for medical tourism supply chain by determining the relationship between medical tourism demand and economic, medical, and welfare-service components of Zahedan city.
Materials and Methods: The present study is a descriptive-analytical and applied research. Data were collected using a questionnaire and field and library methods. The statistical population of interest was specialist doctors in Zahedan city, and 97 people were selected using simple random sampling with Morgan’s table. The validity of the questionnaire was confirmed by experts and its reliability was obtained using Cronbach’s alpha coefficient with SPSS software more than 0.7. Data analysis was performed using the tangent sigmoid neural network algorithm, linear regression criteria, and mean square error. For this purpose, SPSS software was used to examine the correlation between the data, and MATLAB software was used to design the neural network.
Results: There was anerrore in The basis for the optimality of the answers, linear regression criteria and mean square error. The results showed that the values related to regression, education, and health were more than 0.8 and were 0.9033, 0.8818, and 0.9985, respectively. The highest priorities of the respondents related to medical equipment, education, and health were 0.5657, 0.5558, and 0.20726, respectively.
Conclusion: According to the results obtained from the proposed model, the neural network has a high accuracy in predicting the demand for medical tourism supply chain in terms of education, health, and welfare. It is also predicted that the demand for medical tourism has been constant during the one-year period of research and it is expected that medical tourism in Zahedan city will decrease in future. Therefore, it is recommended that officials pay attention to the development and improvement of medical tourism to promote it.
