Original Article
meta-heuristic algorithms
Hojatollah Rajabi Moshtaghi; Abbass Toloie-Eshlaghy; Mohammad Reza Motadel
Abstract
Purpose: In recent years, meta-heuristic algorithms and their application in solving complicated, nonlinear, and high dimensions problems have increased dramatically and the fact that meta-heuristic algorithms are used to solve complex and changing problems of real life, has caused the algorithms world ...
Read More
Purpose: In recent years, meta-heuristic algorithms and their application in solving complicated, nonlinear, and high dimensions problems have increased dramatically and the fact that meta-heuristic algorithms are used to solve complex and changing problems of real life, has caused the algorithms world and their design to be very dynamic and alive; that's why new algorithms are constantly being created. Hence, the purpose of this research is to introduce a novel meta-heuristic algorithm called Military Optimization Algorithm (MOA). Methodology: Inspired by military operations, the proposed algorithm was designed and presented. After coding, Standard test functions and benchmark algorithms were determined to evaluate the performance of the algorithm.Findings: The performance of new algorithm is analyzed by 23 standard test functions and compared to 8 benchmark meta-heuristic algorithms including: Genetic Algorithm, Particle Swarm Optimization, Artificial Bee Colony, Shuffled Frog Leaping Algorithm, and Imperialist Competitive Algorithm, Grey Wolf Optimizer, Whale Optimization Algorithm, and Grasshopper Optimization Algorithm, by considering three indices of "average answers", "time complexity of algorithm (speed)" and "Convergence speed/ time". The results show the excellent performance of the proposed algorithm.Originality/Value: In this paper, inspired by military operations, a novel meta-heuristic algorithm called MOA is introduced. It is population-based and stable with "random search", "dividing solution space into several regions and allocating a part of the population to each region", "cavalry search", and "infantry search".
original-application paper
meta-heuristic algorithms
Mohammadreza Etebari; Naser Feghhi Farahmand; Soleyman Iranzadeh
Abstract
Purpose: Banks' inability to credit assessment and financial evaluation of customers and forecasting accurately the credit risk of borrowers has devastating effects on the global financial system and economic activity and have been the main causes of global financial crises in recent years.The purpose ...
Read More
Purpose: Banks' inability to credit assessment and financial evaluation of customers and forecasting accurately the credit risk of borrowers has devastating effects on the global financial system and economic activity and have been the main causes of global financial crises in recent years.The purpose of this paper is to compile a credit forecasting model for legal customers of private banks by using meta-heuristic algorithms in the branches of Pasargad Bank in the northwest of Iran.Methodology: This research is base on the purpose of developmental research and based on the method of performing descriptive work. The statistical population of this study is in two sections of banking experts and legal customers of Pasargad Bank in the northwest of the Iran. The statistical sample size for the first community of 58 banking experts including managers, credit officials and heads of branches in with credit work experience in private banks and for the second community, 427 legal clients were selected based on targeted sampling. In order to collect data in this research, a questionnaire and documents of Pasargad Bank have been used. The validity of the questionnaire was investigated as content validity and based on the indicators of content validity ratio and content validity index. The reliability of the questionnaire was assessed using Cronbach's alpha coefficient. In order to analyze the research data, t-test, confirmatory factor analysis, multilayer neural network, genetically trained neural network, trained neural network with particle swarm optimization and trained neural network with differential evolution will be used.Findings: The research findings show that all four models are able to predict the credit predictions of the legal customers of private banks and the best way to predict the credit predictions of the legal customers of private banks is the neural network trained with differential evolution algorithm with the least amount of error compared to the other three methods.Originality/Value: In this research by using meta-heuristic algorithms, a new credit forecasting model produce for legal customers of private banks with the least amount of error.
Original Article
Transportation
Morteza Araghi; Hossein Mahdizadeh; Sadegh Moodi
Abstract
Purpose: In this paper, a novel numerical method, using the Godunov-type finite volume technique, the flux wave version of Modified Wave Propagation Algorithm (MWPA) with high-resolution is presented to solve one-dimensional second-order macroscopic model of traffic flow.Methodology: To demonstrate the ...
Read More
Purpose: In this paper, a novel numerical method, using the Godunov-type finite volume technique, the flux wave version of Modified Wave Propagation Algorithm (MWPA) with high-resolution is presented to solve one-dimensional second-order macroscopic model of traffic flow.Methodology: To demonstrate the effectiveness of the proposed approach, the commonly employed Payne–Whitham model and PW based on driver physiological response have been used. The hyperbolic nonlinear Partial Derivatives Equations (PDEs) of traffic flow which do not have analytical solution are solved considering a new Riemann wave speeds, based on an augmented Riemann solver. In this method, nonlinear equations are first transformed into a diagonal quasi-linear problem with linear characteristic curves, the corresponding source terms are involved in the flux difference of finite volume computational cells. The second-order wave solutions and their initial jump conditions are considered and the obtained numerical results are compared with Roe Decomposition Technique (RDT) as a common method in macroscopic traffic flow models discretization for the PW model before and after considering driver physiological response.Findings: The problem of queue propagation in uniform traffic flow condition with two discontinuities including shock waves and subsequent rarefaction waves with periodic boundary conditions was selected as a numerical example. Velocity and density profiles at different times, the spatio-temporal changes of the two mentioned variables and traffic flow rates were presented.Originality/Value: The numerical results indicate that the proposed method provides a more realistic behavior for the two mentioned models regarding the basic variables of traffic flow.
Original Article
Data Envelopment Analyses
Hengameh Mohamadinejadrashti; Alireza Amirteimoori; Sohrab Kordrostami; Farhad Hosseinzadeh Lotfi
Abstract
Purpose: In resource allocation and target setting problems, a central planner decision making from a managerial point of view has a pivotal role, especially in presence of undesirable outputs such as greenhouse gas emissions. In these situations, firms have to incorporate to each other to achieve the ...
Read More
Purpose: In resource allocation and target setting problems, a central planner decision making from a managerial point of view has a pivotal role, especially in presence of undesirable outputs such as greenhouse gas emissions. In these situations, firms have to incorporate to each other to achieve the goals of the central planner. The existing DEA-based resource allocation models have not considered the influence of managerial effort and technology innovation. In this study, we will use the managerial disposability assumption to reflect the central planner managerial achievement and technology novelty perspective in the process of resource allocation and target setting.Methodology: Using a managerial disposability assumption in this paper offers a solution to a correct and acceptable resource allocation and target setting along with improving the performance of units. To analyze the method presented in this paper, the data of 29 famous international airlines representing the global aviation industry have been selected and studied.Findings: The results of this study show that in this model, decision-making units use managerial disposability assumption in the regulation of undesirable outputs based on the perspective of cooperation strategies to improve their environmental performance. In addition, in this approach increasing the inputs, fixing the amount of the desirable outputs, reducing the amount of undesirable outputs will be allowed. This model ensures that the adjusted decision-making units in the next period, will improve their efficiency after resource allocation and target setting, as well as improving the overall efficiency is observed in the results obtained by this method.Originality/Value: The paper presents a new approach of resource allocation and target setting based on data envelopment analysis which considers the impact of managerial effort and technology innovation on resource allocation and target setting problems.
application paper
Data Envelopment Analyses
Ahmad Reza Tahanian; Hasan Haleh; Farhad Etebari; Behnam Vahdani
Abstract
Purpose: The current study aims to provide a framework for evaluating the large projects based on the sustainability dimensions and with agility approach using data envelopment analysis.Methodology: To this end, sustainability indicators, agility indices in project management and project management critical ...
Read More
Purpose: The current study aims to provide a framework for evaluating the large projects based on the sustainability dimensions and with agility approach using data envelopment analysis.Methodology: To this end, sustainability indicators, agility indices in project management and project management critical success factors are identified. By calculating the large projects efficiency numbers in each of attitudes include financial, social and environmental, three dimensions of sustainability and by drawing a regional graph based on the projects’ efficiency numbers in both attitudes of agiliy and project management critical success factors, the project performance is studied in both attitudes. Findings: Graphs and efficiency results in sustainability attutudes show that among 27 projects, just three projects are efficient in all three attitudes. In addidtion, to deliver product/service in the shortest time is the meaning of delivering value to the customer with extending the agility in project management. Also, to protect the resources for the next generation, project manager can dedicate the financial and social resources in order to control the environmental impacts of the projects in parallel with the sustainable development principles which which can be translated to be responding efficiently and effectively to the customers while meeting the requirements of the sustainable development. Originality/Value: The project as a temprory organization should be managed in such a way that while adapting to the changes and being agile in responsiveness, it also keeps the time range, cost and qulity for delivering the created product/service. Agility has been proposed as an approach to gain and keep the competitiveness in a changing and unpredictable environment and it focuses on meeting customers needs while sustainability attitude does focus on the reduction of the udesireable affects of the meeting customers demands. To integrate these two concepts in the field of project management leads to the efficiency and success of the project, comprehensively.
original-application paper
Multi-Attribute Decision Making
Hadi Shirouyehzad; Mahsa Soroushnia; Mahdi Mellat; Mohammad Reza Salehi
Abstract
Purpose: Todays, the use of maturity models is one of the most important ways to assess the maturity status of project management in an organization. These models help organizations to compare their capabilities at the level of projects and organizational strategies with a specific and scientific standard. ...
Read More
Purpose: Todays, the use of maturity models is one of the most important ways to assess the maturity status of project management in an organization. These models help organizations to compare their capabilities at the level of projects and organizational strategies with a specific and scientific standard. The purpose of this paper is assessment the maturity of organizational project management based on OPM3 model in the project execution department of Mobarakeh Steel Company.Methodology: In order to assess the maturity of project management, first the interview questions in each of Knowledge Areas were identified using library studies, then information was collected in the form of interviews with experts and managers of Mobarakeh Steel Company. After that, Additive Ratio ASsessment method was used for ranking the Project Management Knowledge Areas according to the obtained results.Findings: The results show that the project execution department has a better performance in the knowledge Area of project schedule management than other areas.Originality/Value: In this research, the performance of the project execution department of the Company is evaluated and analyzed based on OPM3 model. According to the results, applied suggestions for improving project management performance are presented.
Original Article
supply chain management analyzing/modelling
Javid Ghahremani Nahr; Mehrnaz Bathaee
Abstract
Purpose: In this paper, a humanitarian logistics network is designed considering the purchase contract in conditions of uncertainty. Due to the importance of such networks in the event of unforeseen events, the designed model seeks to determine the central and local warehouses as well as shelters to ...
Read More
Purpose: In this paper, a humanitarian logistics network is designed considering the purchase contract in conditions of uncertainty. Due to the importance of such networks in the event of unforeseen events, the designed model seeks to determine the central and local warehouses as well as shelters to transport the injured. Also, determining the optimal amount of inventory and the correct way of transferring items and injured are other network decisions. In this article, the contract for purchasing items before and after the accident is concluded with suppliers in order to supply raw materials to the severity of the accident.Methodology: Due to the uncertainty in the model, the robust optimization method is used to control the uncertainty, and due to the NP-Hardness of the model, the new Gray Wolf-Genetics Algorithm (GGWA) is used to solve the model.Findings: The results show that contract operation has reduced the costs of the entire humanitarian logistics network. The comparison of the means of the objective function and the computational time shows the high speed of the GGWA algorithm in finding near-optimal solutions compared to the PSO and GA algorithms.Originality/Value: In this paper, a new model of humanitarian supply chain network has been designed, which has obtained very favorable results from the problem using the GGWA algorithm in the shortest time.
Original Article
supply chain management analyzing/modelling
Reza Khlilzade; Parviz Saeidi; Arash Naderian; Iebrhim Abbasie
Abstract
Purpose: The aim of this study was to design the financial agility model of the supply chain process in companies.Methodology: The research method is descriptive and applied. In terms of orientation, it is fundamental and in terms of purpose, it is exploratory-qualitative. The research population ...
Read More
Purpose: The aim of this study was to design the financial agility model of the supply chain process in companies.Methodology: The research method is descriptive and applied. In terms of orientation, it is fundamental and in terms of purpose, it is exploratory-qualitative. The research population included: academic and industrial experts and the sample was selected based on the snowball sampling method. Data collection instruments were semi-structured interviews with industrial managers and academic experts. In the data analysis, first, the codes and components of financial agility were extracted from the interviews and formulated in the form of a conceptual Grounded theory model.Findings: The core category was the financial agility, which was presented in three dimensions, and the causal, contextual, and intervening conditions, and strategies and results, were formulated and then, the final model was designed. Afterwards, the model was validated by using the Delphi model. According to the results of this study, the main categories of the developed model included intra-organizational, technological and human factors.Originality/Value: Therefore, based on the proposed model of this research can be the expected consequences of the financial agility model in business companies can be understood.