Performance evaluation and benchmarking
Atiyeh Sarparast; Ravil Akhmadeev
Abstract
Considering the position of free zones in the country's commercial development, the present study identifies and ranks the factors affecting the attraction of domestic and foreign investments in the development of Iran's free trade zones and is customized in Amirabad port free zone. The present study ...
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Considering the position of free zones in the country's commercial development, the present study identifies and ranks the factors affecting the attraction of domestic and foreign investments in the development of Iran's free trade zones and is customized in Amirabad port free zone. The present study is in the group of descriptive-survey research in terms of applied purpose and data collection method, which used statistical tests and Multi-Criteria Decision Making (MCDM) approach. In this regard, the statistical population of the study includes all actual and potential investors and managers of economic units located in the Amirabad Behshahr Free Zone, of which 385 people were analyzed using a questionnaire. The results obtained in the present study at the second level show that the first and the most important criteria is the management issues, followed by strategic planning, infrastructure, economic policies, laws and regulations, and finally location. Next, the most important factor is related to facilities and infrastructure, followed by the existence of natural resources and public budget allocation.
Scheduling
Manizheh Teimoori; Houshang Taghizadeh; Jafar Pourmahmoud; Morteza Honarmand Azimi
Abstract
Air traffic management is an important job and often faces various problems. One of the most common problems in this area is the issue of aircraft sequencing, which is a multi-dimensional problem due to the large number of flights and their different positional conditions. Previously proposed models ...
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Air traffic management is an important job and often faces various problems. One of the most common problems in this area is the issue of aircraft sequencing, which is a multi-dimensional problem due to the large number of flights and their different positional conditions. Previously proposed models were based on First Come, First Service (FCFS) have not considered the time factor, resulting in increased delay penalties. In this regard, this article proposes a model in which the time factor is one of the factors that is managed and additional costs due to delay will be eliminated. This paper proposed the Multi-Objective Grey Wolf Optimization (MOGWO) algorithm to evaluate three objective functions such as the airport runway efficiency, the apron and parking costs, and the fuel consumption costs. The proposed algorithm compared with well- known NSGA-II (non–dominated Sorting Genetic Algorithm). The obtain results represented that in the case of using all the data for the first, second and third-objective function, MOGWO performs better than NSGA-II. The brilliant results demonstrated the superiority of the proposed model. In this study, using the proposed model, the data set of Shahid Hasheminejad International Airport in Mashhad was analyzed.
Quality Control
Chimata Murali Krishna; Satyam Sahu; Mayank Kisnya; Gunwant Mishra; Samyak Jain
Abstract
The objectives of this work are to investigate the status of implementation of quality initiatives by manufacturing firms in Madhya Pradesh, India, and to compare large and small-medium scale industries. Very few researchers have attempted to compare large scale and small-medium scale firms in order ...
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The objectives of this work are to investigate the status of implementation of quality initiatives by manufacturing firms in Madhya Pradesh, India, and to compare large and small-medium scale industries. Very few researchers have attempted to compare large scale and small-medium scale firms in order to know the extent of implementation of quality initiatives for a state like Madhya Pradesh. In this study, the survey questionnaire method was used for the collection of data. Nine quality initiatives were selected for the study. The obtained data are grouped into two groups: 1) large scale firms, and 2) small-medium scale firms. Descriptive and inferential statistics are used for analysis and the results are presented. Hypothesis testing was used to investigate for any significant difference between the two groups of firms in implementing each quality initiative. Results from inferential statistics reveal that there is a significant difference in the implementation of quality initiatives in large and small-medium scale industries. The findings of the present work will guide firms to identify areas where improvement is required at each quality initiative level. The study will help small-medium scale firms in the Madhya Pradesh state of India to conduct training programs in the areas of relevant quality initiatives for improving their quality of products.
Decision analysis and methods
Niloofar Khalili; Parisa Shahnazari Shahrezaei; Amir Gholm Abri
Abstract
The current study, according to ergonomic factors, aims to model the nurses’ work shift scheduling problem. Considering the urgent needs of the hospitals in providing better services to patients, it seems significant to take the preferences of nurses in scheduling shifts into account. Therefore, ...
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The current study, according to ergonomic factors, aims to model the nurses’ work shift scheduling problem. Considering the urgent needs of the hospitals in providing better services to patients, it seems significant to take the preferences of nurses in scheduling shifts into account. Therefore, in this paper, a multi-objective model of nurses’ scheduling with emphasis on reducing their fatigue during the career shift is presented. To evaluate the outputs of the model, two numerical instances in small and large sizes with real data of Labbafinejad Hospital were designed in 18-person and 90-person wards. To solve a small size problem, a comprehensive standard decision method is employed, the results of which showed that nurses take their most rest during the night shift and in the middle of their working hours to reduce fatigue. Furthermore, due to the NP-Hard nature of the nurses' scheduling problem, in the problem of the 90-person ward, MOPSO and NSGA II algorithms are applied based on the design of a new chromosome. Using the TOPSIS method and entropy weighting method shows that the designed NSGA II algorithm can solve the nurses’ scheduling problem of Labbafinejad Hospital faster and better.
Computational Intelligence
Kaushal Kishore Rao Mangalore; Nikhitha Pradeep; Bhawesh Rajpal; Nitin Prasad; Ravi Shastri
Abstract
The move to standardize Indian Sign Language has created an opportunity for researchers to focus on solving local problems, to increase its reach. In this paper, a survey and assessment of the techniques applied to the recognition and conversion of Indian Sign Language are performed. An overview of the ...
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The move to standardize Indian Sign Language has created an opportunity for researchers to focus on solving local problems, to increase its reach. In this paper, a survey and assessment of the techniques applied to the recognition and conversion of Indian Sign Language are performed. An overview of the techniques used in sign language recognition for Indian Sign Language is provided to understand the status of research in this field. Following this, a comparison of techniques aimed at rendering a more detailed picture of the research results is presented. The challenges faced by researchers, the limitations of current techniques, and the need for improved research in this area are highlighted. With the intent of spurring more in-depth research, key areas within the approaches and techniques in need of improvement are summarized.
Neural Networks
Mohammad Karimi Moridani; Atiye Hajiali
Abstract
In recent years, the use of intelligent methods for automatic detection of sleep stages in medical applications to increase diagnostic accuracy and reduce the workload of physicians in analyzing sleep data by visual inspection is one of the important issues. The most important step for the automatic ...
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In recent years, the use of intelligent methods for automatic detection of sleep stages in medical applications to increase diagnostic accuracy and reduce the workload of physicians in analyzing sleep data by visual inspection is one of the important issues. The most important step for the automatic classification of sleep stages is the extraction of useful features. In this paper, an EEG-based algorithm for automatic detection of sleep stages is presented using features extracted from the recurrence plot and artificial neural network. Due to the non-stationary of the EEG signal, the recurrence plot was used in this paper for nonlinear analysis and extraction of signal features. Various extracted features have different numerical ranges. Normalization was performed to prevent the undesirable effects of large values of data. As all normalized features could not correctly classify different stages of sleep, effective features were selected. The results of this paper show the selected features and the Multi-Layer Perceptron (MLP) neural network able to achieve the values of 98.54 ± 1.88%, 99.03 ± 1.43%, and 98.32 ± 2.11%, respectively, for specificity, sensitivity, and accuracy between the two types of sleep, i.e., Non-Rapid Eye Movement (Non-REM) and Rapid Eye Movement (REM). Also, the results show that the selection of Pz-Oz channel compared to Fpz-Cz channel leads us to a higher percentage for the separation of stages I-IV, awake, while the separation of REM stage using Fpz-Cz channel is better. The results show that the proposed method has a higher success rate in classifying sleep stages than previous studies. The proposed method could well identify and distinguish all stages of sleep at an acceptable level. In addition to saving time, automatic analysis of sleep stages can help better and more accurate diagnosis and reduce physicians' workload in analyzing sleep data through visual inspection.
Neural Networks
Soroush Babaee Khobdeh; Mohammad Reza Yamaghani; Siavash Khodaparast Sareshkeh
Abstract
Clustering players based on their abilities, a new perspective and an important opportunity to meet needs that in the light of traditional talent identification and player science, which is held periodically and there is not enough time for them to appear. Early recognition of these abilities is a factor ...
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Clustering players based on their abilities, a new perspective and an important opportunity to meet needs that in the light of traditional talent identification and player science, which is held periodically and there is not enough time for them to appear. Early recognition of these abilities is a factor influencing the success of sports teams. Artificial Neural Network (ANN) is a new method of modelling and prediction. The aim of this study was to cluster basketball players based on their individual abilities. For this purpose, Self-Organizing Map (SOM) Neural Networks (NNs) were used. The data set used by 3000 NBA players for 2011 until 2018 is from the Basketball-Reference[1] site. Each player is assigned 30 attributes to reduce them using the Principal Component Analysis (PCA) method and the features for each player were reduced to 12 samples. In order to implement a SOM of features and functions in MATLAB software 65% of the data were used as the network training phase and the remaining 35% were used to the test phase. 12 players’ features as network input and output 9 clusters resulting from the combination of features. After simulation using SOM, accuracy parameter with the help of this system were obtained above 95%. The result of the study showed that the performance of the SOM in clustering basketball players was higher than the K-Means algorithm. The network implemented in this article has a faster speed in the training process and generalizability than similar cases.
Computational Intelligence
Bhawesh Rajpal; Nitin Prasad; Kaushal Kishore Rao Mangalore; Nikhitha Pradeep; Ravi Shastri
Abstract
This paper consists of analysis of an algorithm dealing with facial expressions recognition. The algorithm has three major steps, initially image is processed, then the facial features are extracted and finally facial expression is recognized. In the initial processing stage the facial region is identified ...
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This paper consists of analysis of an algorithm dealing with facial expressions recognition. The algorithm has three major steps, initially image is processed, then the facial features are extracted and finally facial expression is recognized. In the initial processing stage the facial region is identified using a Haar cascade classifier. This facial region is passed on to the model trained by a CNN where facial features are matched with the features specified in the model. In the final step on the basis of comparison in the previous step the image is labelled and results are displayed. By the experiment results it is clear that the method specified in the paper can detect facial expressions very well.
Management and Entrepreneurship
Seyedeh Sara Pourmorshed; Seyed Mojtaba Sajadi; Sonia Sadeghian Esfahani
Abstract
This paper aims to introduce a business model for eco-tourism residences based on Osterwalder’s canvas business model with a creative tourism approach. Despite of the significance of creative tourism and business model of eco-tourism residences, there is still a lack of sufficient attention to ...
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This paper aims to introduce a business model for eco-tourism residences based on Osterwalder’s canvas business model with a creative tourism approach. Despite of the significance of creative tourism and business model of eco-tourism residences, there is still a lack of sufficient attention to this issues in the literature. Moreover, regarding the growing tourism industry in Iran and the importance of creative tourism in cultural and adventure tourism, it is necessary to seek new ideas to improve service quality and the business owners’ knowledge of their industry. In this regard, this multiple case study research is conducted by semi-structured interviews with seven eco-tourism residence owners in Iran. Open and axial coding methods were adopted for data analysis. This research identifies the main components of nine blocks of the Osterwalder’s canvas business model for eco-tourism residences, including, value proposition, customer segments, customer relationships, channels, key resources, key activities, key partners, revenue streams and cost structure. The results of this study show that the supply factors of creative tourism framework including diversity of world cultures, the provision of unique culture, infrastructure, local crafts, hospitality, creative industries, cultural tourism resources, and more types of tourism are connected to the value propositions in the presented business model.
Systems and service modeling and simulation
Anis Shabani; Amir Hossein Refahi Sheikhani; Hossein Aminikhah
Abstract
In this article, we investigated the robust control approach for variable-order fractional time fractional butterfly- shaped chaotic attractor system that the fractional derivative is considered in Atangana-Baleanu-Caputo sense. We show the computational algorithm with high accuracy for solving the proposed ...
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In this article, we investigated the robust control approach for variable-order fractional time fractional butterfly- shaped chaotic attractor system that the fractional derivative is considered in Atangana-Baleanu-Caputo sense. We show the computational algorithm with high accuracy for solving the proposed systems. For the suggested system, Adams-Bashforth-Moulton approach applied for converting the system of the equations into a system of linear or nonlinear algebraic equations. The existence and uniqueness of the solution are shown and also asymptotically stable is investigated in this article. At the end, a number of statistical indicators were presented in order efficiency, accuracy and simple applicability of the proposed method.
Mathematical modelling
Mohsen Khasteh; Amir Hossein Refahi Sheikhani; Farhad Shariffar
Abstract
In this paper, we proposed a numerical approach to solve a distributed order time fractional COVID 19 virus model. The fractional derivatives are shown in the Caputo-Prabhakar contains generalized Mittag-Leffler Kernel. The coronavirus 19 disease model has 8 Inger diets leading to system of 8 nonlinear ...
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In this paper, we proposed a numerical approach to solve a distributed order time fractional COVID 19 virus model. The fractional derivatives are shown in the Caputo-Prabhakar contains generalized Mittag-Leffler Kernel. The coronavirus 19 disease model has 8 Inger diets leading to system of 8 nonlinear ordinary differential equations in this sense, we used the midpoint quadrature method and finite different scheme for solving this problem, our approximation method reduce the distributed order time fractional COVID 19 virus equations to a system of algebraic equations. Finally, to confirm the efficiency and accuracy of this method, we presented some numerical experiments for several values of distributed order. Also, all parameters introduced in the given model are positive parameters.
Engineering Modeling
Salar Babaei; Alireza Hamidieh
Abstract
The development of cell sites as part of the infrastructure of telecommunication technology is playing a unique role in emerging businesses at present. Natural disasters and crises can disrupt communication equipment and create severe challenges in service provisions, especially health and security, ...
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The development of cell sites as part of the infrastructure of telecommunication technology is playing a unique role in emerging businesses at present. Natural disasters and crises can disrupt communication equipment and create severe challenges in service provisions, especially health and security, by damaging sites. This might lead to traffic congestion in certain network sections, causing chaos and social crises and increasing the commissioning and equipping costs of backup sites for operators. This study developed an integrated location–coverage–allocation model to improve sustainability through maximum coverage, enhanced flexibility, and minimized overhead expense by determining the position of backup sites and mitigating environmental pollution resulting from the establishment of sites. The stochastic robust optimization model was employed to control the effect of nonparametric uncertainty, while acceptable solutions were generated using the Lagrangian relaxation to address complicated model constraints.
Supply chain management
Reza Tavakkoli-Moghaddam; Javid Ghahremani-Nahr; Paria Samadi Parviznejad; Hamed Nozari; Esmaeil Najafi
Abstract
This paper examines the use of the Internet of Things (IoT) in the Food Supply Chain (FSC) and identifies the strengths and weaknesses of this system. Since this paper is a review study, the papers published from 2014 to June 2021 have been studied and 93 articles related to the field of IoT applications ...
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This paper examines the use of the Internet of Things (IoT) in the Food Supply Chain (FSC) and identifies the strengths and weaknesses of this system. Since this paper is a review study, the papers published from 2014 to June 2021 have been studied and 93 articles related to the field of IoT applications in the FSC have been reviewed. By reviewing the literature, six basic applications obtained for this type of network include transportation procurement, food production, resource/waste management, food safety improvement, food quality maintenance, and FSC transparency. Clustering is used to achieve these. Cluster analysis suggests that researchers should pay more attention to IoT applications for product quality and transparency throughout the supply chain, and consider IT-based systems seamlessly at each level of the supply chain.
Supply chain management
Elham Shadkam; Mahdiyar Cheraghchi
Abstract
One of the stages of crisis management is planning and initial preparation to deal with the crisis. During natural disasters, one of the main activities is the logistics of relief groups and the activities of relief teams to save the lives of the victims of the accident. A review of past events shows ...
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One of the stages of crisis management is planning and initial preparation to deal with the crisis. During natural disasters, one of the main activities is the logistics of relief groups and the activities of relief teams to save the lives of the victims of the accident. A review of past events shows that the chances of rescuing the injured decrease and that a quick and correct decision is important in this situation. This paper presents a two-phase hybrid approach to decision-making and prioritization of affected regions to send relief teams. In this approach, multi-criteria decision-making methods in two phases are used to consider different indicators in achieving the optimal solution. In the first phase, with the help of the primary decision matrix, the AHP, TOPSIS and AHP-TOPSIS methods are used. And in the second phase, according to the results obtained from the first phase, the secondary decision matrix is created. With the CoCoSo method's help, one of the newest methods in this field, areas are prioritized for relief. In order to implement the proposed approach, the city of Amol has been studied.
Case studies in industry and services
K. M. Mustafizur Rahman
Abstract
Job satisfaction of the employees is a concerning issue, accelerates the productivity of any organization. Higher job satisfaction among the employees means the higher chance of profitability of the employers. An effective understanding of factors associated with job satisfaction of the employees is ...
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Job satisfaction of the employees is a concerning issue, accelerates the productivity of any organization. Higher job satisfaction among the employees means the higher chance of profitability of the employers. An effective understanding of factors associated with job satisfaction of the employees is precious to push organizational development. This study based on the data collected from three aluminum industries inRajshahi cityofBangladesh during January 21, 2016 to March 20, 2016 to identify the determinants of job satisfaction among the employees. In this study, age, sex, education, work experience, satisfaction with salary, workplace environment and workplace management system are revealed as the determinants of job satisfaction. For instance, higher aged respondents in more likely to satisfy with job than lower aged (Odds Ratio (OR): 1.30 [0.48-3.57]). Female are more likely (OR: 1.90 [1.03-3.51]) to satisfy with their job than the male. Higher educated employees are less likely (OR: 0.97 [0.56-1.70]) to satisfy with their job than the lower educated employees. Respondents with 15 & above years of experience are more likely (OR: 1.05 [0.33-2.15]) to satisfy with their job than those have less than 5 years of experience. Satisfaction with salary (OR: 1.97 [1.14-3.41]), workplace environment (OR: 1.62 [0.59-6.51]), management system (OR: 1.24 [1.25-3.98]) are significantly associated with job satisfaction of the employees. As the first study, it provides the determinants of job satisfaction among the employees in aluminum industries in Rajshahi city of Bangladesh. Relevant authorities are suggested to consider the study’s findings and recommendations to create new policies regarding job satisfaction.
Case studies in industry and services
MOJISOLA ADERENIKE BOLARINWA; Emmanuel Chukwuwuikem Ofiebor
Abstract
The quality-of-service delivery in any organization needs to be at its best, otherwise, there would be losses in that organization. The health industry, particularly hospitals and specifically emergency departments in hospitals are not excluded. If anything, they play such vital roles that its evaluation ...
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The quality-of-service delivery in any organization needs to be at its best, otherwise, there would be losses in that organization. The health industry, particularly hospitals and specifically emergency departments in hospitals are not excluded. If anything, they play such vital roles that its evaluation needs to be carried out as regularly as possible. Several methods have been deployed in order to evaluate service quality. Two of these methods; the Taguchi approach and the SERVAQUAL approach have been utilized and compared in this research. The Taguchi approach, through the application of mini-tab software, showed that the role of the Nurses in the emergency department appeared to be the most vital. The SERVAQUAL approach revealed that patients perceived empathy from the workers as the highest quality displayed by staff in the department. It can be concluded that these two approaches gave similar results, as Nurses are trained particularly to have a great deal of empathy.Keywords: Emergency department, Health, Patients, Service Quality, Taguchi.
Industrial Mathematics
Mohammad Shafiekhani; Alireza Rashidi Komijan; Hassan Javanshir
Abstract
In this paper, a new type of vehicle routing problem in the valuable commodity transportation industry is modeled considering the route risk constraint. The proposed model has two objective functions for risk minimization. In the first objective function, three concepts are presented, which are: 1) the ...
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In this paper, a new type of vehicle routing problem in the valuable commodity transportation industry is modeled considering the route risk constraint. The proposed model has two objective functions for risk minimization. In the first objective function, three concepts are presented, which are: 1) the vehicle does not travel long distances in the first three moves because it carries more money, 2) to serve the same branch on two consecutive days, at the same time 3) The bow should not be repeated in two consecutive days. This reduces the possibility of determining a fixed pattern for the service and increases the security of the service. In the second objective function, risk is a function of the amount of money, the probability of theft and the probability of its success. To solve the proposed model, two different meta-heuristic algorithms including genetic algorithm and ant colony optimization algorithm have been used. In computational testing, the best parameter settings are determined for each component and the resulting configurations are compared in the best possible settings. The validity of the answers of the algorithms has been investigated by generating different problems in various dimensions and using the real information of Shahr Bank. The results show that the genetic algorithm provides better results compared to the ant colony algorithm with an average of 0.93% and a maximum of 1.87% difference with the optimal solution.
Computational modelling
Eshetu Dadi Gurmu; Mengesha Dibru Firdawoke; Mekash Ayalew Mohammed
Abstract
In this paper, a nonlinear mathematical model of COVID-19 was formulated. We proposed a SEIQR model using a system of ordinary differential equations. COVID-19 free equilibrium and endemic equilibrium points of the model are obtained. A basic reproduction number of the model is investigated by the next-generation ...
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In this paper, a nonlinear mathematical model of COVID-19 was formulated. We proposed a SEIQR model using a system of ordinary differential equations. COVID-19 free equilibrium and endemic equilibrium points of the model are obtained. A basic reproduction number of the model is investigated by the next-generation matrix. The stability analysis of the model equilibrium points was investigated using basic reproduction numbers. The results show that the disease-free equilibrium of the COVID-19 model is stable if the basic reproduction number is less than unity and unstable if the basic reproduction number is greater than unity. Sensitivity analysis was rigorously analyzed. Finally, numerical simulations are presented to illustrate the results.
Case studies in industry and services
Kh. Ghaziyani; farhad hosseinzadeh Lotfi; Sohrab Kordrostami; alireza amirteimoori
Abstract
Today, one of the main problems in many organizations such as banks with many branches, is that the method of evaluating them is not correct. The traditional techniques used to evaluate performance are often single-level and do not provide the manager with enough information to identify the inefficiency ...
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Today, one of the main problems in many organizations such as banks with many branches, is that the method of evaluating them is not correct. The traditional techniques used to evaluate performance are often single-level and do not provide the manager with enough information to identify the inefficiency causes of inefficient units. In contrast, Bi-level Data Envelopment Analysis (DEA) models solve the problem of ignoring internal relationships. In this paper, first, the factors that had a higher rank were selected as input and output factors with the help of bank experts and the AHP method. Then, the performance of 30 branches of the Central Bank of Iran was evaluated using the leader-follower method and generalizing Russell's non-radial method. In this paper, the intermediate data is desirable and undesirable. The results showed that the proposed model does not have the problems of traditional models and provides a more realistic assessment of the efficiency of bank branches.
Supply chain management
Fatemeh Kangi; Seyed Hamid Reza Pasandideh; Esmaeil Mehdizadeh; Hamed Soleimani
Abstract
In recent years, the expansion of social responsibility concept, increased environmental considerations, economic incentives and governmental pressure on manufacturers for waste management have caused organizations to focus attention on the development of closed-loop supply chains (CLSC) and reverse ...
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In recent years, the expansion of social responsibility concept, increased environmental considerations, economic incentives and governmental pressure on manufacturers for waste management have caused organizations to focus attention on the development of closed-loop supply chains (CLSC) and reverse logistics (RL) processes. The adoption of these approaches, will enable organizations to simultaneously meet economic, social and environmental goals and consider the manufacturing cycle from supply and production to reuse of products. Hence, this study deals with an optimization model within the framework of a multi-echelon, multi-product and multi-period CLSC with hybrid facilities where cross-docking strategy and vehicle routing with soft time windows have been included in the model. In the problem defined as a MILP model, decisions are made simultaneously at three levels of strategic, tactical and operational. Furthermore, to tackle the NP-hard problem and achieve near-to-optimal results in reasonable time, two meta-heuristic algorithms, NRGA and MOPSO are developed and the algorithms’ parameters are tuned using the Taguchi method. Finally, the computational results are examined by the performance measures and statistical analysis and the sensitivity analysis is performed regarding the impacts of demand and rate of returned product on the objective functions’ values.
Supply chain management
Pooria Malekinejad; Seyed Haidar mirfakhradini; Ali Morovati sharifabadi; Seyed Mahmood Zanjirchi
Abstract
The increasing use of electronic goods worldwide has led to a significant increase in the amount of waste generated from their consumption, resulting in a major environmental concern. In response, this study aims to provide a systemic framework for reducing electronic waste by considering the benefits ...
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The increasing use of electronic goods worldwide has led to a significant increase in the amount of waste generated from their consumption, resulting in a major environmental concern. In response, this study aims to provide a systemic framework for reducing electronic waste by considering the benefits of a closed-loop sustainable supply chain. To achieve this goal, a systematic literature review was conducted to identify influential factors related to the green supply chain. Based on the identified factors in this section regarding electronic waste, a systematic framework was devised for the technology park companies' chain in Yazd. Accordingly, utilizing fuzzy cognitive mapping technique based on the current state, a systemic structure was formed. The statistical population of this study consisted of industry experts in e-waste in Iran. The initial criterion for identifying these individuals was having at least one international research publication or a minimum of 10 years of work experience in this field. These individuals were selected using the snowball sampling method. After completing the snowball sampling process, 72 experts were selected. Based on this framework, forward and backward scenarios were created to offer practical solutions for addressing the problem of electronic waste in Iran. The results of this study suggest that instead of discarding a significant portion of electronic waste, efforts should be focused on cost reduction through better recycling processes. By implementing a closed-loop sustainable supply chain, businesses can recover valuable resources from electronic waste, reduce their carbon footprint, and ultimately contribute to creating a more sustainable future.
Fuzzy sets and systems
Abouzar Sheikhi; M. J. Ebadi
Abstract
Linear fractional programming (LFP) is a powerful mathematical tool for solving optimization problems with a ratio of linear functions as the objective function. In real-world applications, the coefficients of the objective function may be uncertain or imprecise, leading to the need for interval coefficients. ...
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Linear fractional programming (LFP) is a powerful mathematical tool for solving optimization problems with a ratio of linear functions as the objective function. In real-world applications, the coefficients of the objective function may be uncertain or imprecise, leading to the need for interval coefficients. This paper presents a comprehensive study on solving linear interval fractional transportation problems with interval objective function (ILFTP) which means that the coefficients of the variables in the objective function are uncertain and lie within a given interval.We propose a novel approach that combines interval analysis and optimization techniques to handle the uncertainty in the coefficients, ensuring robust and reliable solutions.The variable transformation method used in this study is a novel approach to solving this kind of problems. By reducing the problem to a nonlinear programming problem and then transforming it into a linear programming problem, the proposed method simplifies the solution process and improves the accuracy of the results. The effectiveness of the proposed method is demonstrated through various numerical examples and comparisons with existing methods. The outcomes demonstrate that the suggested approach is capable of precisely resolving ILFTPs. Overall, the proposed method provides a valuable contribution to the field of linear fractional transportation problems. It offers a practical and efficient solution to a challenging problem and has the potential to be applied in various real-world scenarios.
Computational Intelligence
ramin mousa; Mohammad Ali Dadgostarnia; Amir Olfati Malamiri; Elham Behnam; Shahram Miri Kelaniki
Abstract
Sentiment Analysis (SA) is the computational analysis of ideas, feelings and opinions using natural language processing techniques, computational methods and text analysis to extract polarity (positive, negative or neutral) from unstructured documents or textual comments. Multi-domain SA is based on ...
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Sentiment Analysis (SA) is the computational analysis of ideas, feelings and opinions using natural language processing techniques, computational methods and text analysis to extract polarity (positive, negative or neutral) from unstructured documents or textual comments. Multi-domain SA is based on a labelled dataset, which reduces the dependence on large amounts of domain-specific data and addresses data scarcity issues by leveraging existing data from other domains. This paper presents a novel deep learning-based approach for Persian multi-domain SA analysis. The proposed Bi-IndRNNCapsule technique combines bidirectional IndRNN and CapsuleNet, which use Bi-GRU to extract features for CapsuleNet. In IndRNN, recurrent layer neurons operate independently, with simple RNN computing the hidden state h via element-wise vector multiplication u * state, indicating that each neuron has a solitary recurrent weight linking it to the most recent hidden state. We evaluated the proposed approach on the Digikala dataset and found it to provide acceptable accuracy compared to existing techniques.
Human factors, ergonomics, and safety
Md Sumon Rahman; Jiro Sakamoto
Abstract
Construction trades are considered to be at high risk for work-related musculoskeletal disorders (WRMSDs) due to their nature. Previous reviews have addressed various risk factors for developing WRMSDs among construction workers. In contrast, the results appear insufficient because proper evidence was ...
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Construction trades are considered to be at high risk for work-related musculoskeletal disorders (WRMSDs) due to their nature. Previous reviews have addressed various risk factors for developing WRMSDs among construction workers. In contrast, the results appear insufficient because proper evidence was not reported. Therefore, the purpose of this current review was to summarize the occurrence rates of WRMSDs and quantify the relationships between various risk factors and WRMSDs among construction workers. Literature searches were conducted through the following electronic databases from 2000 to 2022: Science Direct, PubMed, Web of Science, Google Scholar, Research Gate, and Medline. Selected articles were classified as strong, moderate, limited, and no effect, respectively, based on their association with WRMSDs. From the selected 66 articles, the highest occurrence rates of WRMSDs were found in construction workers (ranging from 33% to 89%). There were various significant risk factors for developing WRMSDs in construction workers, including age, working experiences, awkward working postures, vibration, repetitive body movement, manual material handling, biomechanical stress, and physical fatigue. Although most of the study was conducted through a cross-sectional survey to find out the relationships between risk factors and WRMSDs in construction workers. To determine the insights on risk factors and WRMSDs among construction workers, experimental, longitudinal, and real-time task-based studies can be conducted. This study may be helpful to improve awareness about risk factors for developing WRMSDs among construction workers.
Innovation, knowledge management, and organizational learning
mojtaba mohamadjkhani; Reza Radfar; nazanin Pilevarisalmasi; mohamadali afsharkazemi
Abstract
In the past, companies relied only on internal intellectual resources and tried to develop and commercialize ideas within the organization. The open innovation approach leads companies to make more use of external technologies in their activities and allows other companies to use their innovations. Open ...
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In the past, companies relied only on internal intellectual resources and tried to develop and commercialize ideas within the organization. The open innovation approach leads companies to make more use of external technologies in their activities and allows other companies to use their innovations. Open innovation methods have a high diversity, but each economic enterprise should use one or more methods compatible with the company's situation according to its conditions. In the current research, a network-based fuzzy inference system has been used as one of the methods of artificial intelligence and MATLAB software to choose the appropriate method of open innovation in the automotive industry. For this purpose, 2 inputs under the title of company's technical knowledge level and the complexity of parts technology and 9 possible modes for the output including all kinds of open innovation methods are considered in the fuzzy inference system so that by using the existing rules, a technique suitable to the company's conditions can be extracted. In this research, 50% of the data were considered training data for model design, and 50% of the data were considered test data for model evaluation. The designed model selected open innovation methods with 90% accuracy. Therefore, the presented model is a suitable tool for choosing the open innovation method for the automotive industry.
