Original Article
supply chain management analyzing/modelling
seyyedmoein baharisaravi; Reza Hasan Zadeh
Abstract
Dam failure is one of the main and most important consequences of dam safety factors and the prospect of dam failure is a matter of concern in dam construction issues. Engineering science and experience in dam construction show that, on average, less than one dam annually breaks through the tens of thousands ...
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Dam failure is one of the main and most important consequences of dam safety factors and the prospect of dam failure is a matter of concern in dam construction issues. Engineering science and experience in dam construction show that, on average, less than one dam annually breaks through the tens of thousands of large dams in the world. For this purpose, this paper proposes a model to simulate the occurrence of an accident and perform logistic planning with the aim of improving logistical measures and responding to crisis situations in order to achieve the best performance in times of crisis. In this paper, we try to illustrate the failure of Shahid Rajaee Dam in Sari using simulation technique and analyze its subsequent consequences, in order to use the output information as a basic mathematical modeling information. . So at the end of the research we can clearly select the optimal routes with the least cost and transportation time.The innovation of the present study is to use a three-objective model to reduce shipping, warehousing and relief costs in the shortest time possible to manage the crisis using this model.
Original Article
Decisions in new businesses
Mohammad Mousakhani; Fateme Saghafi; Mohammad Hasanzade; mohammad ebrahim sadeghi
Abstract
Economic development of countries is associated with development of high technologies. So policy making for these technologies is one of the most important interests of policy makers. Technological innovation system, as a most important approaches in technology policy, has developed increasingly. Therefore, ...
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Economic development of countries is associated with development of high technologies. So policy making for these technologies is one of the most important interests of policy makers. Technological innovation system, as a most important approaches in technology policy, has developed increasingly. Therefore, identification of the most important dimensions in this field to propose policy interventions for development of high technologies is credential. We used metasynthesis to integrate and combine previous studies in the field. The research Statistical population is 280 document with the keyword of technological innovation system in scopus database until end of 2018.at the end, contributions of 52 article used in the final framework. In order to evaluate the quality of the research, we used Critical Appraisal Skills Program (CASP) method. Also, kappa index used to verify the reliability of the research. Regard to developing the framework by using the elements of previous frameworks, the framework has content validity. Also the content validated by 5 experts in innovation study field. We propose the comprehensive framework of TIS with 10 dimensions and 102 activities. The main dimensions are: development, exchange and diffusion of knowledge, entrepreneurial activities, guidance of search, market formation, resource mobilization, legitimation, policy and coordination, creating structure, weaken the regime, exploit the regime. Also, attention to the context and using the contingent view to response the opportunities and threats was proposed as complementary to the framework. developing high technologies is a very complex and multi-dimensional issue which requires to identify the dynamics of innovation systems. One dimensional perspective to technology development and mere attention to knowledge creation and R&D, would not lead to technology development. Therefore, in order to policy in this field, attention to dimensions and elements which is identified in this study could be very useful.
Original Article
Data Envelopment Analyses
Samira Maleki; Monavvar Karbalaei Alilou
Abstract
In recent literature, many studies have been performed on DEA performance evaluation of systems with two-stage network structure. One of the topics of interest to researchers is the study of the progress or regress of production over separate time periods in the two-stage network structure. The Luenberger ...
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In recent literature, many studies have been performed on DEA performance evaluation of systems with two-stage network structure. One of the topics of interest to researchers is the study of the progress or regress of production over separate time periods in the two-stage network structure. The Luenberger productivity index is one of the techniques introduced in this field. However, the calculation of output or progress in the two-step network in the presence of undesirable intermediate products and uncontrollable input data has received less attention. The main purpose of this paper is to investigate the impact of the presence of undesirable intermediate products and uncontrollable input data in evaluating the performance of two-stage series-structured network systems when discussing the progress or regress of production systems during different periods of activity. For this purpose, in this paper, we introduce a new directional distance function and propose a method to solve this model that is not problematic in the adjacent time periods. Then, we present a three-stage algorithm to calculate the Luenberger productivity index in a two-stage network with the presence of these data. Finally, with an example, we show the applicability of the proposed algorithm.
original-application paper
stochastic/Probabilistic/fuzzy/dynamic modeling
Alireza Hajihosseini; Ali Payan; Ali Salari
Abstract
One of the most important tasks of an organization manager is to evaluate the performance of the units within the organization because only the performance evaluation can inform the manager about the extent to which the organization has stepped toward the goals established to achieve it so that the manager ...
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One of the most important tasks of an organization manager is to evaluate the performance of the units within the organization because only the performance evaluation can inform the manager about the extent to which the organization has stepped toward the goals established to achieve it so that the manager can identify weaknesses, and poor performance of his organization take corrective action and improve the performance of his organization. In this regard, this study has evaluated accurately and inaccurately the relative performance of 11th-grade nongovernmental schools in Sistan and Baluchestan province. There are various methods for assessing the performance of organizations. One of the most important of these methods is data envelopment analysis technique which by comparing the efficiency of organization units with each other separates efficient units from inefficient units. Selection of inputs and outputs in this study was done according to similar research and interviews with experts. In this study, the relative efficiency of 55 of 11th grade nongovernmental Schools in Sistan and Baluchestan province was calculated by using data envelopment analysis for the academic year 1395-1396 and the efficient and inefficient units were identified, then the performance of these schools is presented by a fuzzy interval based on the technical efficiency and the subjective efficiency and finally ranked.
Original Article
Location Modeling
Meisam Jafari Eskandari; Hamed Nozari; merdad mokhtari saghinsara
Abstract
In this research, a supply chain network has been designed to address social and corrupt situations. To evaluate the model, a small dimensional example was first designed and the model was solved with 3 decision methods (utility function, comprehensive criteria, and Goal programming). To compare the ...
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In this research, a supply chain network has been designed to address social and corrupt situations. To evaluate the model, a small dimensional example was first designed and the model was solved with 3 decision methods (utility function, comprehensive criteria, and Goal programming). To compare the results of target functions and the effective responses obtained from the two-objective model, we compared the efficiency response indicators (averages of the target functions, the number of efficient responses, the most exponential index, the gap index, the distance index from the ideal point and the computational time). The decision method is a comprehensive criterion for acquiring average indices of the first objective function, the distance indicator from the ideal point, and the computational time more efficient than other methods. The ideal planning method has also proved to be effective in obtaining average indices of the second objective function, the number of effective responses, the most exponential index, and the efficiency gap index. Finally, the utility function method has also been more efficient in obtaining the problem solving index in less time. Finally, for comparing and choosing the most efficient solving method from solvency solving methods from topsis, the method of the comprehensive method is the most efficient method among existing methods.
Original Article
Data Envelopment Analyses
Reza Maddahi; Hamidreza Yazdani
Abstract
Data Envelopment Analysis (DEA) is a technique for evaluating homogeneous decision-making units. In this method, the efficiency score for each unit is obtained by comparing the performance of each Decision-Making Unit (DMU) with the performance of the other units. This performance score can be used as ...
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Data Envelopment Analysis (DEA) is a technique for evaluating homogeneous decision-making units. In this method, the efficiency score for each unit is obtained by comparing the performance of each Decision-Making Unit (DMU) with the performance of the other units. This performance score can be used as a criterion for ranking units. In many cases, a significant number of units are efficient, and therefore, the efficiency of the classic DEA models cannot be a good criterion for accurate ranking of DMUs. In this study, a method for ranking DMUs using their efficiency is presented in several time periods, so that three types of production possibility sets are introduced. In the first type, for each time period, an independent production possibility set is defined, in the second type, a combination production possibility set is used for all time periods, and in the third type, a community production possibility set is created, which considers all time periods. Then, corresponding to each type, one efficiency number is obtained for each DMU. Therefore, the three values of efficiency resulting from the three methods are combined using the Shannon entropy method and define a general performance criterion for each unit. This criterion is ultimately considered as the main indicator for ranking units.
original-application paper
Strategic Planing
Behrouz Khoshnamak; Suleiman Iranzadeh; Assadaleh Khadivi; Houshang Taghizadeh
Abstract
A mixed approach (qualitative and quantitative) has been used to conduct this research. In the qualitative part of the research, until the achievement of theoretical saturation, with 11 people who were purposefully selected, semi-structured interviews were conducted and the proposed conceptual model ...
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A mixed approach (qualitative and quantitative) has been used to conduct this research. In the qualitative part of the research, until the achievement of theoretical saturation, with 11 people who were purposefully selected, semi-structured interviews were conducted and the proposed conceptual model of the research was formed based on the six stages of the theme analysis approach. The proposed model of this part of the research includes 11 sub-categories: Personality, interaction, environmental awareness, marketing, environmental communications, human capital management, proper management of the general office/branch, general knowledge, specialized knowledge, structure, and content, and 5 main categories: Individual competence, environmental competence, managerial competence, knowledge competence, and organizational competence consisted of 44 concepts. In the quantitative part of the research, the final model derived from the qualitative approach was provided to the research experts in the form of a Delphi questionnaire to determine the most important indicators of the competency of the research organizational positions and during several round-trip stages of the questionnaire and the theoretical consensus of experts. It was determined the index of reform and management of processes and methods of work for the organizational positions of the general manager of the province, the administrative, and financial deputy of the province and the head of the specialized department.
original-application paper
Data Envelopment Analyses
Ehsan Momeni; Farhad Hosseinzadeh Lotfi; Reza Farzipoor Saen
Abstract
Nowadays, sustainable development is the most important issue in the economic development of countries. To achieve sustainable development, countries must pay special attention to environmental aspects. Environmental aspect focuses on ecosystem stability and maintenance of ecologic functions. To make ...
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Nowadays, sustainable development is the most important issue in the economic development of countries. To achieve sustainable development, countries must pay special attention to environmental aspects. Environmental aspect focuses on ecosystem stability and maintenance of ecologic functions. To make countries more sustainable, Greenhouse Gas (GHG) emission should be reduced and controlled. Cap and trade approach is one of the most effective approaches in controlling GHG emissions. In the cap and trade approach, the total amount of emissions are decreased by reallocating emission permits to countries. The objective of this paper is to propose a centralized Data Envelopment Analysis (DEA) model to reallocate emission permits in the cap and trade system given countries’ efficiencies. Our model evaluates efficiencies of countries in the presence of discretionary and nondiscretionary inputs to reallocate emission permits. The fuzzy set considers uncertainties in parameters. Also, this paper determines the amount of emitted gases that can be reduced without reducing other outputs. A case study demonstrates the applicability of the proposed model. Sensitivity analysis is carried out to investigate the impact of parameters’ variations on results.