Case studies in industry and services
Rasoul Jamshidi; Sattar Rajabpour Sanati; Morteza Zarrabi
Abstract
The saving banks of “umbilical cord blood stem cells” are considered as strategic health-based institutions in most countries. Due to the limited capacity of cord blood sample storage tanks, the samples should be evaluated according to their quality. So these banks need a method to assess ...
Read More
The saving banks of “umbilical cord blood stem cells” are considered as strategic health-based institutions in most countries. Due to the limited capacity of cord blood sample storage tanks, the samples should be evaluated according to their quality. So these banks need a method to assess quality. In this paper, first, the effective factors on the quality index of the extracted cord blood from newborn infants are identified using the electronic records and database of Royan’s umbilical cord blood bank. Then by machine learning and various statistical methods such as multilayer perceptron neural networks, radial basis function neural networks, logistic regression, and C4.5 decision tree, the quality value of blood samples and their proper category (for discarding or freezing) are determined. Two different sets of data have been used to evaluate the proposed methods. The results show that the ensemble of radial basis function neural network with k-means clustering model has the best accuracy compared to other methods, which categorizes the samples with 91.5% accuracy for the first data set and 81.6% accuracy for the second one. The results also show that using this method can save about $1 million annually.
Aahmad Makui; Farzaneh Ashouri; Farnaz Barzinpour
Abstract
In this paper, we introduce a two stages model for allocation of injuries and medical supplies to medical centers. In the first stage a multi objective mathematical model allocates injured people from the affected neighborhood to medical centers. In the second stage a single objective linear model allocates ...
Read More
In this paper, we introduce a two stages model for allocation of injuries and medical supplies to medical centers. In the first stage a multi objective mathematical model allocates injured people from the affected neighborhood to medical centers. In the second stage a single objective linear model allocates medical supplies from the supply points to medical centers. The first stage’s objective is simultaneously minimizing the total relief time and costs and maximizing the level of matching the type of injury with the specialized field of the medical centers those injuries are sent. The second stage’s objective is to minimize the costs of allocating medical supplies to medical centers. An integrated model that combines the two previous models is presented and comparing the results with the two stages model. Proposed models are applied to one of the districts of Tehran to demonstrate their effectiveness. The case study includes two affected neighborhood and four medical centers and three supply points. ϵ-constraint method is used to produce the Pareto optimal solutions in a MOMP.
Case studies in industry and services
Astrid Diandra Maulidina; Fibi Eko Putra
Abstract
Some company strategies in managing business that can be implemented are Supply Chain Management (SCM). SCM works to ensure the availability of the material obtained from the supplier. With the increasingly advanced information technology in line with the progress in hardware and software technologies, ...
Read More
Some company strategies in managing business that can be implemented are Supply Chain Management (SCM). SCM works to ensure the availability of the material obtained from the supplier. With the increasingly advanced information technology in line with the progress in hardware and software technologies, the computing methods are also growing. One of the most important computing methods in its development is the Decision Support System (DSS). Every company is required to move quickly in decision-making or action, similarly, in the selection of suppliers. With reference to the Hierarchy Analytical Process (AHP) method, this research aims to make decisions in the selection of suppliers objectively based on the various criteria set. This is made so that the goods supply process can be run according to the needs of the company as one of the utilization and availability of Tugboat.
Engineering Modeling
Ibrahim Mousa Abu-Alshaikh
Abstract
The dynamic response of a homogeneous elastic simply-supported beam subjected to a load system moving with a uniform velocity is studied in detail in this paper. Analytical expressions for the dynamic responses of the beam and the load-moving system are obtained by means of a new technique using decomposition ...
Read More
The dynamic response of a homogeneous elastic simply-supported beam subjected to a load system moving with a uniform velocity is studied in detail in this paper. Analytical expressions for the dynamic responses of the beam and the load-moving system are obtained by means of a new technique using decomposition method whereby the generalized displacement of the beam is written as an infinite series. The method is versatile and simple so that its application to other related problems is possible. Comparisons between different cases of load-moving systems are made clear. Interaction, load, mass, velocity effects on the beam as well as on the load-moving system are investigated. It is concluded that the inertia effect of the load-moving system cannot be neglected when the traveling velocity and its mass ratio to that of the beam are large.
Data Envelopment Analysis, DEA
Seyed Ahmad Edalatpanah
Abstract
Several attempts have been made to deal with uncertain input and output data in Data Envelopment Analysis (DEA). However, due to the limitation of these methods, they cannot be applied for solving DEA with indeterminacy, impreciseness, vagueness, inconsistent and incompleteness information. So this paper ...
Read More
Several attempts have been made to deal with uncertain input and output data in Data Envelopment Analysis (DEA). However, due to the limitation of these methods, they cannot be applied for solving DEA with indeterminacy, impreciseness, vagueness, inconsistent and incompleteness information. So this paper for the first time deals with the Neutrosophic Data Envelopment Analysis and present a new model to solve it.
Fuzzy optimization
Seyed Ahmad Edalatpanah
Abstract
Traditional linearl programming usually handles optimization problems involving deterministic objective functions and/or constrained functions. However, uncertainty also exists in real problems. Hence, many researchers have proposed uncertain optimization methods, such as approaches using fuzzy and stochastic ...
Read More
Traditional linearl programming usually handles optimization problems involving deterministic objective functions and/or constrained functions. However, uncertainty also exists in real problems. Hence, many researchers have proposed uncertain optimization methods, such as approaches using fuzzy and stochastic logics, interval numbers, or uncertain variables. However, In practical situations, we often have to handle programming problems involving indeterminate information. The aim of this paper is to put forward two new algorithms, for solving the Single-Valued Neutrosophic linear Problem. A numerical experiments are reported to verify the effectiveness of the new algorithms.
Supply chain management
Peiman Ghasemi; Hossein Hemmaty; Adel Pourghader Chobar; Mohamad Reza Heidari; Mahdi Keramati
Abstract
Today, logistics costs often make up a major part of large organizations’ expenses. These costs can be reduced with optimal design and its implementation in the supply chain. As a result, in present study, a two-objective mathematical location-routing model is presented, where an objective is to ...
Read More
Today, logistics costs often make up a major part of large organizations’ expenses. These costs can be reduced with optimal design and its implementation in the supply chain. As a result, in present study, a two-objective mathematical location-routing model is presented, where an objective is to minimize the costs and the next is to maximize the reliability in order to deliver the goods timely to customer according to the probable time and time window. The proposed problem has two levels of distribution. The first level, which is called transportation level, points to the distribution of products from a factory to an open distribution center, and the latter is known as routing level, which is related to a part of the problem in which we deliver products from the warehouse to customers. The proposed mathematical model is solved by Epsilon-constraint and NSGA-II approaches in small and medium, and large scales problem, respectively. The present study has provided the following contributions: concurrent locating and routing in the supply chain in accordance with the customer’s time window, probable travel time in the supply chain and customer’s reliability in the supply chain. The assessment metric results indicate the proper performance of our proposed model.
Engineering Computations
Ali Mahmoudloo
Abstract
This study aimed to calculate the drift velocity and mobility of holes in organic semiconducting polymers by the Charge Extraction via Linearly Increasing Voltage (CELIV) technique to measure the charge carrier mobility. The charge carrier mobility is defined as carrier drift velocity v in each electric ...
Read More
This study aimed to calculate the drift velocity and mobility of holes in organic semiconducting polymers by the Charge Extraction via Linearly Increasing Voltage (CELIV) technique to measure the charge carrier mobility. The charge carrier mobility is defined as carrier drift velocity v in each electric field E. This technique is complementary to Time of Flight (ToF) by providing us with an indication of the material’s properties when other methods are not applicable. Typically, Photo-CELIV is used to measure the charge carrier mobility in Organic Semiconductor (OSCs) due to large bandgap (2 eV) and few thermally generated carriers for extraction in the dark. The effect of the recombination mechanism is investigated on the carrier mobility in the organic layer. The calculation results showed that saturation of extracted charge is linearly proportional to carrier concentration at low concentrations, whereas at high density is saturated due to bimolecular carrier recombination. Langevin recombination mechanisms show that extracted demand saturates at j0, the capacitive displacement current step. Therefore, Δj/j0=1 at high light intensities, the saturation of extracted charge will start to decrease from its maximum value only when tdel is increased to be like tmax. In Langevin recombination, the bimolecular carrier lifetime is much faster than transit time at high carrier concentrations giving the saturation of extracted charge.
Decision analysis and methods
Nima Hamta; Mohammad Ehsanifar; Arezoo Babai; Abbas Biglar
Abstract
The purpose of this paper is to develop a new Failure Mode and Effect Analysis (FMEA) framework for identification, prioritization and improvement of failure modes. A hybrid multiple criteria decision-making (MCDM) method combining Stepwise Weight Assessment Ratio Analysis (SWARA) and VlseKriterijumska ...
Read More
The purpose of this paper is to develop a new Failure Mode and Effect Analysis (FMEA) framework for identification, prioritization and improvement of failure modes. A hybrid multiple criteria decision-making (MCDM) method combining Stepwise Weight Assessment Ratio Analysis (SWARA) and VlseKriterijumska optimizacija I KOm-promisno Resenje (VIKOR) is used to rank the risk of failure modes identified in FMEA. For this purpose, the SWARA method is utilized to obtain the influential weights and then VIKOR technique is employed to give the prioritization levels for the failure modes in safety equipment. A case study of a gas company in Lorestan Province (Iran) is provided to illustrate the potential application and benefits of the proposed FMEA approach. The obtained results show that the new risk priority model can be effective to find high risk failure modes and create suitable maintenance strategies. The proposed FMEA also can overcome the shortcomings, improve the effectiveness of the traditional FMEA and provide useful information to help in managing risks of safety equipment.
Statistical Process
Elham Basiri
Abstract
Recently, Rayleigh distribution has received considerable attention in the statistical literature. This paper describes the Bayesian prediction of the one parameter Rayleigh distribution when the data are Type II censored data. Suppose we are planning to collect a Type II censored sample ...
Read More
Recently, Rayleigh distribution has received considerable attention in the statistical literature. This paper describes the Bayesian prediction of the one parameter Rayleigh distribution when the data are Type II censored data. Suppose we are planning to collect a Type II censored sample from the one parameter Rayleigh distribution in order to find a point predictor for a future order statistic with smallest mean squared prediction error (MSPE) among other point predictors. Although, considering large values for failure numbers yields a point predictor with smaller MSPE, the average cost may increase considerably. One question arises here that “How many failure is enough?”. The aim of this paper is finding the optimal value for number of failures in Type II censoring by considering two criteria, total cost of experiment and mean squared prediction error. Towards this end, we find the Bayesian point predictor for the parameter of distribution. Then, the optimal value for number of failures is obtained when the mean squared prediction error and the total cost of experiment are bounded. To show the usefulness of the obtained results, a simulation study is presented.
Decision analysis and methods
Hamzeh Amin-Tahmasbi; Seyedeh Samaneh Shariatmadari
Abstract
The Bankruptcy of insurance companies compared to companies in other industries can have a more devastating impact on the customers of this industry and on society as a whole; because the insurance company's bankruptcy is equal to the risk of the economic presence of the insurer and third parties. Severe ...
Read More
The Bankruptcy of insurance companies compared to companies in other industries can have a more devastating impact on the customers of this industry and on society as a whole; because the insurance company's bankruptcy is equal to the risk of the economic presence of the insurer and third parties. Severe outcomes of insurance company's bankruptcy have made financial monitoring institutions to design systems for evaluation and supervision of insurance companies’ solvency in order to reduce bankruptcy risk of these companies. Inappropriate design of these systems may transmit incorrect signals to the insurance companies, lawmakers, and insurers and would have irreversible effects. Thus, the current research aims at prioritizing different solvency monitoring systems of Iran Insurance Company using Analytic Network Process (ANP). This is an applied research in terms of purpose, and it is descriptive - analytical research in terms of data collection method. The identified indexes for evaluation and monitoring the insurance companies’ solvency include the quantitative computational aspects, flexibility, and qualitative aspects. Following data collection using the network analysis software, which was used for advanced hierarchy analysis and DEMATEL, which was used for ranking qualitative, quantitative aspects, and flexibility, it is concluded that the quantitative computational index has the highest impact, and the qualitative index has the lowest impact on the solvency of Iran Insurance Company.
Data Envelopment Analysis, DEA
Sima Madadi; Farhad Hosseinzadeh Lotfi; Mehdi Fallah Jellodar; Mohsen Rostamy-Malkhalifeh
Abstract
We developed a DEA-based resource re-allocation model based on environmental DEA technology for organizations with a central decision-making environment. The proposed model considered a weak disposability axiom for undesirable outputs and combined Data Envelopment Analysis (DEA) with Multiple-Objective ...
Read More
We developed a DEA-based resource re-allocation model based on environmental DEA technology for organizations with a central decision-making environment. The proposed model considered a weak disposability axiom for undesirable outputs and combined Data Envelopment Analysis (DEA) with Multiple-Objective Programing (MOP). The objective was to find the appropriate re-allocation model in order to save energy and reduce environmental pollution, so that the next steps could be taken toward improvement. Given that reducing the inputs and outputs of inefficient units is sometimes not achievable and does not seem logical, for the reduction in the values to be logical and achievable, we divided the Decision-Making Units (DMUs) into different levels of efficient frontier using the context-dependent DEA technique. For this purpose, the model was designed to move the DMUs from the current frontier to the efficient frontier of the previous layer, which has better efficiency conditions, or keep them on their own frontier. In addition, the opinion of the central decision maker regarding the amount of reduction in the inputs and outputs was expressed using Goal Programing (GP) in a way that does not make the model infeasible. By implementing the model in 8 regions of the world, suggestions were made regarding the amounts of energy saving and CO2 pollution reduction based on the conditions determined by the central decision maker aiming improve the efficiency of inefficient units in the next step.
Asset Pricing Models
Ebrahim Abbasi; Meysam Kaviani; Ebrahim Farbod
Abstract
The purpose of this paper is to empirically test and evaluate the possibility of using the traditional Capital Asset Pricing Model (CAPM) and the Modified Capital Asset Pricing Model (MCAPM) in the Tehran Stock Exchange. Traditional CAPM by Sharpe-Linter (1965) as one of the ways in which investors can ...
Read More
The purpose of this paper is to empirically test and evaluate the possibility of using the traditional Capital Asset Pricing Model (CAPM) and the Modified Capital Asset Pricing Model (MCAPM) in the Tehran Stock Exchange. Traditional CAPM by Sharpe-Linter (1965) as one of the ways in which investors can help explain the risk and return on investment offered by CAPM model to models of different MCAPM suggested by the Santosh Koirala (2015).Therefore, to achieve the desired objective, the research models using monthly returns of firm 96 (2009 to 2015) and test based on index of cash and capital gain returns. The results indicate that the explanatory power MCAPM more about stock returns compared to traditional CAPM in the Tehran Stock Exchange.
Other
Chandan Debnath
Abstract
Eyes play a vital role in our life. Usually, all of us have seen the visually impaired people and know the problems that they face in their daily life. In order to detect the obstacles, blind people use sticks when they are walking but this instrument just can help them find objects on the ground. Obstacle ...
Read More
Eyes play a vital role in our life. Usually, all of us have seen the visually impaired people and know the problems that they face in their daily life. In order to detect the obstacles, blind people use sticks when they are walking but this instrument just can help them find objects on the ground. Obstacle detection is a field of effort that has led to vast progress in primary safety systems and in the primary-secondary safety systems interaction. Obstacle detector for the blind is an automated device for blind people. The main objective of this device is to make easy the walking environment for blind people. In this paper, a device is made which help the blind people by assisting through an android application. First, the device is made and then its performance is tested in three demanding conditions, for instance, normal, windy, and rainy conditions. The device shows a satisfactory level of accuracy in the three conditions. It helps the user to hear the distance and the location in an automated human voice.
Saadoon Fahad Dakhil; Kifaya Oudah
Abstract
The hot climate in Basra city requires many research to find a solution to reduce heat. Usually, the thermal pump needs an external energy to ensure its continued operation. The objective of the study is the possibility of building a heat pump using renewable energy. The present work addresses a renewable ...
Read More
The hot climate in Basra city requires many research to find a solution to reduce heat. Usually, the thermal pump needs an external energy to ensure its continued operation. The objective of the study is the possibility of building a heat pump using renewable energy. The present work addresses a renewable energy heat bump by using paraffin wax during the daytime. The experimental and the CFD model of the solar collector and Thermal Energy Storage (TES) system based on Phase Change Materials (PCM) as a renewable heat pump system are presented. The system consists of three main parts: The solar collector, paraffin wax cavity, and cooling room. An experimental rig is constructed to conduct a practical analysis by measuring the intensity of solar radiation at different hours of the daytime. Temperatures distribution are measured with 24 type K thermocouples at different sites for the system. A numerical investigation has carried out to predict flow and heat transfer for the solar heat pump. Free convection of turbulent flow with 2-D unsteady state incompressible flow is examined. The numerical work is divided into two parts: The first part presents the development of numerical models of the heating collector room while the second is the numerical model of paraffin wax room. ANSYS FLUENT code 16 is applied to solve Navier Stock, energy, and k-Ɛ model equations by using finite volume method. The calculations of the velocity, temperatures distribution, and the Nusselt number values with different Rayleigh number for air at both heat collector room and paraffin wax room at different daytime are reported.The results of the present work guarantee future development of this technology for the food or agriculture industry. Maximum cooling temperature of the hot air is reached more than 20oC. It is found that a PCM leads to maximum energy savings and greater peak load at high solar intensity value. The practical results are also compared with numerical results, and good agreement is obtained.
Management and Entrepreneurship
Abbas Heravi; Afsaneh Zamani Moghadam; Seyed Ahmad Hashemi; Younos Vakil Alroaia; Abddulah Sajadi Jagharg
Abstract
Given the increased competition and turbulence in business environments, the proper management of human resources and employee growth is a significant challenge faced by organizations to achieve competitive advantage. The present study aimed to analyze the influential factors in human resource development ...
Read More
Given the increased competition and turbulence in business environments, the proper management of human resources and employee growth is a significant challenge faced by organizations to achieve competitive advantage. The present study aimed to analyze the influential factors in human resource development (HRD) in state-owned enterprises (SOEs). This was an applied research in terms of objective and a mixed (qualitative-quantitative), exploratory study in terms of design. In the qualitative-quantitative section of the study, content analysis and descriptive-exploratory techniques were applied. Data were collected via semi-structured interviews and by using questionnaires in the qualitative and quantitative sections, respectively. The research population included human resource experts, managers, and experts in the field of human resource planning and SOE management. In total, 22 individuals were selected via purposeful sampling. In the qualitative section, data analysis was carried out using open, axial, and selective coding for the classification of the identified factors into four categories of organizational, occupational, behavioral, and empowerment factors. In addition, screening was performed using the Fuzzy Delphi method, and the correlations between the identified factors and sub-factors were determined using the Fuzzy DEMATEL method. According to the results, empowerment factors were the most significant determinants of HRD, which could be improved by considering the associated influential factors and prioritization of organizational factors. On the other hand, the factor weighting findings based on the fuzzy analytic network process indicated that among the identified factors and sub-factors of knowledge management, empowerment factors had the most significant impact on HRD.
Sadam Hussain Khan
Abstract
Clays have a tendency to undergo volumetric changes when they interact with water. These soils are a very common reason for most of the foundation failures due to their degraded properties. With the growing need of infrastructure development, avoiding these soils for future constructions may not be possible. ...
Read More
Clays have a tendency to undergo volumetric changes when they interact with water. These soils are a very common reason for most of the foundation failures due to their degraded properties. With the growing need of infrastructure development, avoiding these soils for future constructions may not be possible. The present research is intended to examine the effect of gypsum and bagasse ash on the properties of clays and evaluate their potential for the stabilization and improvement of engineering properties of these soils. Gypsum is naturally occurring mineral and bagasse ash is a waste product produced by sugar-mills. Two types of swelling clays i.e. Low plastic, and high plastic clay, are used in this research for stabilization. Atterberg’s limits, compaction characteristics, unconfined compressive strength, California Bearing Ratio and swell potential of these soils are determined in both untreated as well as in treated form with varying content of gypsum and bagasse ash. The improvement observed for the combination of gypsum and bagasse ash is more significant as compared to the individual effect of gypsum or bagasse ash. Results obtained indicate that gypsum and bagasse ash can provide an effective and economical method for the improvement of Low and high plastic clays.
Kiran B Patar; Praveen Kumar R H; Rahul Raj K Jain; Sharanbasappa Pati
Abstract
India is a country of 1.32 billion population with 221 million registered vehicles on the road. Of these, 933950 three wheelers entered service in the year 2015-16 (114% increase from 2005-06). With atmospheric pollution and emission norms in mind, it is essential that we bring down the emission of vehicles. ...
Read More
India is a country of 1.32 billion population with 221 million registered vehicles on the road. Of these, 933950 three wheelers entered service in the year 2015-16 (114% increase from 2005-06). With atmospheric pollution and emission norms in mind, it is essential that we bring down the emission of vehicles. Tail pipe emission reduction is one of the ways to achieve that but, it is a difficult process. This paper explores the alternative. This work describes a methodology for retrofitting the conventional drivetrain of a vehicle with an electric power unit. This work describes the development of a real world drive cycle for three wheeler Autorickshaws in Bengaluru city. For this, the micro trip generation method is employed, which captures the driving conditions encountered by the vehicle on a regular working day. A Bajaj RE 4 stroke CNG vehicle is used as the test vehicle throughout the process. A GPS based data logging system VBOX 3i is used for data acquisition. The vehicle dynamics are simulated to determine the power rating required for the electric motor to retrofit the IC engine using one dimensional longitudinal acceleration analysis. Coast down test results determine aerodynamic drag and rolling resistance coefficients. Dyno test helps us to understand the torque requirements for the electric motor to be retrofitted. The results of the mathematical model and the dyno test are then used to find a suitable electric motor. The adopted methodology in this work can be used to find the suitable power train replacement for any vehicle.
Computational modelling
Othman Al-Hawamdeh; Ibrahim Mousa Abu-Alshaikh; Naser Al-Huniti
Abstract
Detailed formulation and coding of exact finite element is carried out to study the static behavior of a layered beam structure. The beam element is modelled based on the first-order shear deformation theory and it is assumed to be composed of three layers whereas the middle layer is made of functionally ...
Read More
Detailed formulation and coding of exact finite element is carried out to study the static behavior of a layered beam structure. The beam element is modelled based on the first-order shear deformation theory and it is assumed to be composed of three layers whereas the middle layer is made of functionally graded material (FGM), i.e. with variable elastic properties in the thickness direction. The shape of the FGM mechanical properties variation in the thickness direction takes the form of exponential or power-law. The governing equations and boundary conditions are derived by applying the virtual work principle. Variations of displacements along the beam and stresses across the depth due to mechanical loadings are investigated. Comparative examples are carried out to highlight the static behavior difference between FGM layered beams and pure metal-ceramic beams.
Javad Pourqasem
Abstract
As Grid systems distribute geographically, they become more heterogeneous and dynamic in terms of resources. Discovery service is an important issue in grid systems. Grid efficiently is as regards resource discovery in scalable and dynamic environments. In this paper, we review the peer-to-peer (P2P) ...
Read More
As Grid systems distribute geographically, they become more heterogeneous and dynamic in terms of resources. Discovery service is an important issue in grid systems. Grid efficiently is as regards resource discovery in scalable and dynamic environments. In this paper, we review the peer-to-peer (P2P) based decentralized discovery methods: Unstructured and Super-Peer. We describe major development of these approaches and provide discussion concerning efficiently and scalability features.
Abdella Yimam Ali; Jemal Mohammed Hassen; Gebrekidan Getahun Wendim
Abstract
This paper uses forecasting model to prevent over production of uneaten food in student’s cafeteria in Woldia University (Ethiopia). Students arrival in the university is highly variable. And it is difficult for the canteen management to estimate the number of students attend the meal during first ...
Read More
This paper uses forecasting model to prevent over production of uneaten food in student’s cafeteria in Woldia University (Ethiopia). Students arrival in the university is highly variable. And it is difficult for the canteen management to estimate the number of students attend the meal during first two weeks of operation. The moving average and exponential smoothing forecasting methods were used to forecast the student’s arrival for the year 2019. Mean absolute deviation (MAD) was used as a measure of forecasting accuracy. Finally, it is found that moving average were more accurate forecasting method than exponential smoothing for forecasting student’s arrival in Woldia University.
Supply chain management
Meysam Donyavi Rad; Ehsan Sadeh; Zeinolabedin Amini Sabegh; Reza Ehtesham Rasi
Abstract
The natural disasters of the last few decades clearly reveal that natural disasters impose high financial and human costs on governments and communities. Concerns in this regard are growing day by day. Making the right decisions and taking appropriate and timely measures in each phase of the crisis management ...
Read More
The natural disasters of the last few decades clearly reveal that natural disasters impose high financial and human costs on governments and communities. Concerns in this regard are growing day by day. Making the right decisions and taking appropriate and timely measures in each phase of the crisis management cycle will reduce potential damage at the time of the disaster and reduce the vulnerability of society. Therefore, in this research, a mathematical model of crisis logistics planning considering the problem of primary and secondary crisis in disaster relief is introduced, which is the innovation of this research. In the primary crisis, the goal is to provide services and relief goods to crisis areas, and in the second stage, the secondary crisis that occurs after the primary crisis seeks to provide relief to crisis centers and transfer the injured to relief centers. Therefore, this research proposes a mathematical fuzzy ideal programming model in two primary and secondary crises. In the primary crisis, the goal is to provide services and relief goods to crisis-stricken areas. The secondary crisis, which occurs after the primary crisis, aims to support crisis-stricken centers and move injured people to relief bases in the second step. According to the proposed model, Bertsimas-Sim’s fuzzy programming that formulation proposed by Bertsimas and Sim [1] and robust approach we initially used. The Epsilon constraint method was used to solve the low-dimensional model. Multi-objective meta-heuristic algorithms have been designed to handle the computational complexity of large-scale real-time problems. Multiple comparisons and analyses have been proposed to assess the performance of the model and problem-solving capabilities. The results indicate that the proposed approach can be applied and implemented to develop a real-world humanitarian logistics network.
Corporate Finance
Maryam Mohammad Ganji Nik; Gholamhosein Golarzi; Mohsen Shafiei Nikabadi; Mohammadjavad Fadaiei Eslam
Abstract
In this study, we explain the future potential scenarios of factors affecting stock price fluctuations in the Tehran Stock Exchange concerning the 2026 perspective. This research is applied, cross-sectional, and qualitative, and is implemented as a descriptive survey using the scenario planning approach. ...
Read More
In this study, we explain the future potential scenarios of factors affecting stock price fluctuations in the Tehran Stock Exchange concerning the 2026 perspective. This research is applied, cross-sectional, and qualitative, and is implemented as a descriptive survey using the scenario planning approach. The statistical population is a collection of financial experts; We selected 15 of them as a sample using the judgmental/purposive and network (snowball) sampling methods. In the first step, we identified the key uncertainties of the factors affecting stock price fluctuations using the Fuzzy Delphi method, then by identifying the probable modes of each of the key uncertainties, three compatible scenarios were determined by Scenario Wizard software, and finally, the experts suggested strategies for these scenarios.
Management and Entrepreneurship
Mohammad Javad Taghipourian; Elham Fazeli Veisari; Syed Mahmod Norashrafodin; Mohammad Verij Kazemi
Abstract
Due to the increasing importance of marketing, entrepreneurship and the role of organizational structure in their application, the purpose of this research is to predict entrepreneurial marketing using an organizational structure in the insurance industry. For this purpose, for marketing, seven indicators ...
Read More
Due to the increasing importance of marketing, entrepreneurship and the role of organizational structure in their application, the purpose of this research is to predict entrepreneurial marketing using an organizational structure in the insurance industry. For this purpose, for marketing, seven indicators and for organizational structure, three indicators are defined, then prediction of entrepreneurial marketing indicators has been done by organizational structure indicators using lazy learning algorithm. In the proposed method, after predicting each data by K vector from its closest neighbor, the algorithm database is enriched for better prediction of future data. The proposed algorithm is simulated and compared in five different modes by MATLAB software, also, three insurance (Iran, Karafarin and Parsiyan) companies are selected in Mazandaran province. In total, the statistical population in this study is 588 cases. The results of simulation indicate the proper accuracy of entrepreneurial marketing forecasting based on validation parameters MSE and NRMSD. In this research, Lazy Learning method can predict future without modeling the problem with previous information processing.
Industrial Mathematics
Sunadi Sunadi; Humiras Hardi Purba; Dana Santoso Saroso
Abstract
The purposes of this study are, first, analyzing why the Capability Process (Cpk) index of Drop Impact Resistance (DIR) does not meet the customer requirement or below 1.33, second, finding out what improvements should be made to make it meet the specifications. Statistical Process Control (SPC) is a ...
Read More
The purposes of this study are, first, analyzing why the Capability Process (Cpk) index of Drop Impact Resistance (DIR) does not meet the customer requirement or below 1.33, second, finding out what improvements should be made to make it meet the specifications. Statistical Process Control (SPC) is a method used in this research with supporting other tools such as Cause and Effect Diagrams (CED), Nominal Group Techniques (NGT) and why, what, where, when, and how (5W1H) method. After improvement was made, the results of the study were satisfactory, the average of DIR test was increased by 26.21% i.e. from 20.41 cm to 25.76 cm, standard deviations reduced from 1.80 to 1.48, and the potential Cpk increased significantly from 0.48 to 1.79. The SPC supported by other statistical tools was effective and efficient to improve quality, so the process statistically can be categorized as in control. At the end of this research, the further discussion is still needed to maintain what has been achieved and also to make the research even better. It is recommended for further researchers to examine the chemical composition of aluminum M1 alloy 3104 influence on the strength of the drop impact resistance and to analyze data. It is recommended to integrate or combine SPC with Six Sigma or Engineering Process Control (EPC).
