Mustafa Jahangoshai Rezaee | Urmia University Of Technology (original) (raw)

Papers by Mustafa Jahangoshai Rezaee

International journal of system assurance engineering and management, Jan 25, 2024

Artificial Intelligence Review, Mar 14, 2023

Advances in Industrial Engineering, Mar 21, 2017

Background & Aims:The provision of healthcare services is one of the main and vital necessiti... more Background & Aims:The provision of healthcare services is one of the main and vital necessities of every society, the lack of which is considered as a weak point for governments and leads to extensive social discontent. Regarding the increasing treatment costs, it seems essential to find a way to decrease the patients' expenses. Materials & Methods: This practical study was conducted in the Shahid Arefian Hospital of Urmia city, Iran based on the five phases of Lean Six Sigma. Out of the factors affecting patients' cost reduction, the cancellation of elective surgeries was investigated by the implementation of brainstorming meetings. Results: According to the results, the principal factors of surgery cancellations increasing patients' costs were paraclinic, clinical, and system factors, as well as the factors related to the surgeon and patient. The implementation of Six Sigma phases revealed that the sigma of the present process was 3.1827 that is an undesirable value for a medical center since disorganization in this section is not compensable. Conclusion: In the brainstorming meetings held with the members involved in the project, the practical solutions of reducing the canceling factors were proposed and presented in two flowcharts. It is predicted that the implementation of the proposed solutions would upgrade the sigma of the process to 3.5.

DOAJ (DOAJ: Directory of Open Access Journals), Dec 1, 2018

Advances in Industrial Engineering, Mar 20, 2016

CRC Press eBooks, Oct 27, 2022

PeerJ Computer Science, 2021

Natural gas, known as the cleanest fossil fuel, plays a vital role in the economies of producing ... more Natural gas, known as the cleanest fossil fuel, plays a vital role in the economies of producing and consuming countries. Understanding and tracking the drivers of natural gas prices are of significant interest to the many economic sectors. Hence, accurately forecasting the price is very important not only for providing an effective factor for implementing energy policy but also for playing an extremely significant role in government strategic planning. The purpose of this study is to provide an approach to forecast the natural gas price. First, optimal time delays are identified by a new approach based on the Euclidean Distance between input and target vectors. Then, wavelet decomposition has been implemented to reduce noise. Moreover, fuzzy transform with different membership functions has been used for modeling uncertainty in time series. The wavelet decomposition and fuzzy transform have been integrated into the preprocessing stage. An ensemble method is used for integrating the...

Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine, 2020

Applying artificial intelligence techniques for diagnosing diseases in hospitals often provides a... more Applying artificial intelligence techniques for diagnosing diseases in hospitals often provides advanced medical services to patients such as the diagnosis of leukemia. On the other hand, surgery and bone marrow sampling, especially in the diagnosis of childhood leukemia, are even more complex and difficult, resulting in increased human error and procedure time decreased patient satisfaction and increased costs. This study investigates the use of neuro-fuzzy and group method of data handling, for the diagnosis of acute leukemia in children based on the complete blood count test. Furthermore, a principal component analysis is applied to increase the accuracy of the diagnosis. The results show that distinguishing between patient and non-patient individuals can easily be done with adaptive neuro-fuzzy inference system, whereas for classifying between the types of diseases themselves, more pre-processing operations such as reduction of features may be needed. The proposed approach may h...

International Journal of Engineering, 2016

Industries are one of the main sources of pollution in the world. Besides, the levels of energy r... more Industries are one of the main sources of pollution in the world. Besides, the levels of energy resources consumption including water, electricity, and fossil fuel are very different among industries. On the other hand, Iranian government pays a large amount of energy subsidy to manufacturing units. Because of it, the government wants to know which of manufacturing industries are efficient, produce less environmental pollutions, and hence, must be supported. Besides, manufacturing industries are classified into various groups. In this paper, the conventional data envelopment analysis (DEA) model has been extended to multi-group state for evaluating manufacturing systems. The main feature of the proposed model is that it takes into consideration inputs/outputs prices (cost/revenue). In the other words, we propose a linear multi-group cost/revenue efficiency model. The data of 59 Iranian manufacturing industries are grouped under 23 classes to demonstrate the model. The inputs are energy resources such as the amount of fossil fuel, water and electricity consumption as well as a non-energy resources such as the number of employees. The results show that the efficiency scores and energy consumption performance are greatly changed when each industry is evaluated in its own group.

International journal of engineering. Transactions C: Aspects, Sep 1, 2016

Expert Systems with Applications

Mathematical Problems in Engineering

In Iran, location is usually done by temporary relief organizations without considering the neces... more In Iran, location is usually done by temporary relief organizations without considering the necessary standards or conditions. The inappropriate and unscientific location may have led to another catastrophe, even far greater than the initial tragedy. In this study, the proposed locations of crisis management in the region and the optimal points proposed by the Geographic Information System (GIS), taking into account the opinions of experts and without the opinion of experts, were evaluated according to 18 criteria. First, the optimal areas have been evaluated according to standard criteria extracted by GIS and the intended locations of the region for accommodation in times of crisis. Then, the position of each place is calculated concerning each criterion. The resulting matrix of optimal options was qualitatively entered into the Preference Ranking Organization Method for Evaluation (PROMETHEE) for analysis. The triangular fuzzy aggregation method for weighting and standard classifi...

Quality Engineering, 2022

international journal of hospital research, 2017

Background and objective: The location of facilities is of great importance in healthcare and is ... more Background and objective: The location of facilities is of great importance in healthcare and is of interest to researchers due to its importance. In this regard, a large proportion of classic location-allocation models concentrate on solving problems in an exclusive environment (non-competitive), but this assumption is rarely true in reality. Methods: At first, a basic Non-Competitive Location Model (NCLM) is presented. Then, a Competitive Location Model (CLM) is developed based on the initial model. This study proposes a multi-objective integer programming model based on Nash bargaining game. The first objective function maximizes the two-person Nash product, which in turn maximizes the total number of patients covered by the newly established healthcare centers. The second objective function minimizes the sum of distances between population centers and the newly established healthcare centers. Findings: The results obtained from applying the CLM on Tehran’s Health Centers reveale...

Journal of patient safety and quality improvement, 2020

Introduction The provision of services in hospitals is the final level of the health care system ... more Introduction The provision of services in hospitals is the final level of the health care system chain, which usually provides the patients with advanced medical services, such as surgery. On the other hand, the cancellation of elective surgeries is one of the problems, which reduces the quality of service delivery and decreases hospital's efficiency and patients' satisfaction followed by increases in patients' costs. This study presented an approach based on a fuzzy inference system to better assess these hazards and eliminate the related risks and investigate effective factors in the cancellation of elective surgeries. Materials and Methods The present study conducted a case study in Shahid Arefian Hospital Urmia, Iran, during 2016-2017. Principal factors of surgery cancellations were collected from surgery documents in the hospital. These factors were divided into five classes, including paraclinical, clinical, systematic, surgeon, and patient. The hazards identified ...

Computational Economics, 2021

Journal of Manufacturing Processes, 2021

Abstract The vial, a bottle known to store the drug, should be controlled to meet the requirement... more Abstract The vial, a bottle known to store the drug, should be controlled to meet the requirements of the standard dimension. Due to problems with a visual inspection, there is a need to develop an automated inspection system. In this paper, a machine vision system for measuring and controlling the dimensional characteristics of medical glass vials has been developed. In this regard, because of the difficulty of taking images of glass vials and reflecting the light that may have these images, some innovative actions have been taken to determine the way for obtaining the appropriate images. Also, the effectiveness of several common segmentation methods has been examined and a heuristic segmentation method is proposed to extract vial borders. Finally, using to integrate heuristic segmentation method and appropriate post-processing methods as well as employing machine learning, an automated approach for measuring different dimensional characteristics of vials is proposed and evaluated by real samples.

Artificial Intelligence Review, 2020

The Failure Mode and Effects Analysis (FMEA) technique due to its proactive nature can identify f... more The Failure Mode and Effects Analysis (FMEA) technique due to its proactive nature can identify failures and their causes as well as potential effects, and provide preventive/controlling measures before they occur. Nevertheless, some of the shortcomings of the FMEA technique like lack of a mental framework for considering the relationships between risks, lack of systematic perspective in confronting with risks, and weakness of Risk Priority Number (RPN) score in mathematical basis and disregarding the uncertainty of problem reduce the reliability of the outputs. In this study, an approach based on the Multi-Stage Fuzzy Cognitive Map and the Z-number theory (Z-MSFCM) is proposed to simultaneously consider the concept of uncertainty and reliability in quantities of risk factors and the weights of causal relationships in the MSFCM. Besides, a novel learning approach for Z-MSFCM has been applied based on the combination of the Particle Swarm Optimization (PSO) and S-shaped transfer function (PSO-STF) to preserve the uncertain environment of the problem. The proposed approach has been applied in a manufacturing automotive parts company and results indicate that: first, Z-MSFCM by considering the causal relationships between risks and their uncertainty and reliability in comparison with traditional RPN can provide better process-oriented insight into the impact of risks on the system; and second, the PSO-STF has high potential in generating solutions with high separability compared to Nonlinear Hebbian Learning and PSO algorithms. To put it differently, the mentioned advantages of the proposed approach can help decision-makers to analyze the problem with high reliability.