ALI Karbalaei Ebrahim; Davood Darvishi Selokolayi; Abbas Ahmadi
Volume 3, Issue 1 , May 2022, , Pages 1-11
Abstract
Purpose: Environmental systems and supply chain management are complementary, and their implementation not only improves the environment within the country but also increases the sustainability and environmental performance of the global supply chain. The present study evaluates the supply chain management ...
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Purpose: Environmental systems and supply chain management are complementary, and their implementation not only improves the environment within the country but also increases the sustainability and environmental performance of the global supply chain. The present study evaluates the supply chain management in the pharmaceutical system of selected public hospitals in Mazandaran province.Methodology: Experts completed the designed questionnaire to rank the factors affecting the evaluation of supply chain management in the pharmaceutical system. After collecting the data, they were analyzed using the fuzzy analytic hierarchy process. Various factors and models were identified by studying the research background. The conceptual model of the research was presented by experts in four categories of main criteria and 16 sub-criteria. These factors include managerial and employee, economic, organizational, and cultural factors.Findings: The results showed that economic factors weighing 0.266 are the most important regarding experts and have the first rank, followed by managerial and employee factors, organizational factors, and cultural factors. Also, among the sub-criteria, the factors of adopting a business strategy commensurate with environmental goals with a weight of 0.0936, first place, designing a competitive business plan for optimal price and quality with a weight of 0.0878, second place, and modelling the trade policies of leading countries with a weight of 0.0846, third place. Originality/Value: Given the importance of factor-related criteria in implementing supply chain management, this article examines the factors that affect managers to help find a suitable model for their future investment plans.
Samira Khajehkhasan; Soheil Fakheri
Volume 1, Issue 2 , September 2020, , Pages 187-201
Abstract
Purpose: Breast cancer is one of the most important and common types of cancer in the world. There are two types of breast cancer: benign and malignant cancer. The benign condition has poor growth in the body and is rarely distributed in other areas of the body. It also has specific characteristics. ...
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Purpose: Breast cancer is one of the most important and common types of cancer in the world. There are two types of breast cancer: benign and malignant cancer. The benign condition has poor growth in the body and is rarely distributed in other areas of the body. It also has specific characteristics. However, in the malignant type, we see a tendency to spread faster, which is dangerous for a person's life. Therefore, its classification into these two modes is essential for diagnosis and treatment. Methodology: First, mammographic images of patients' breasts were evaluated with the help of doctors, and then the photos were processed. At this stage, we succeeded in using fuzzy logic to identify cancer and its type more quickly. Results: This article proposes a new algorithm for diagnosing benign and malignant cancers. Each benign and malignant branch has two types of tumor: adenosis and phyllodes tumor, and malignant has two types of duct and papillary cancer. This article proposes an algorithm for diagnosing breast cancer that includes four steps. The first stage is the preprocessing stage; the second stage is for image analysis, which uses wavelet transform to analyze images; the third stage is the extraction of valuable features that we use the results of wavelet transform to obtain; and the fourth stage That is, we use fuzzy logic to identify two types of benign or malignant images. Originality/Value: A new way to diagnose the disease and prevent it from becoming malignant is fundamental.
