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Kassaei SS, Lotfi FH, Amirteimoori A, Rostamy-Malkhalifeh M, Rahmani Parchikolaei B. Congestion in multi-function parallel network DEA. PLoS One 2023; 18:e0286911. [PMID: 37782663 PMCID: PMC10545126 DOI: 10.1371/journal.pone.0286911] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Accepted: 05/25/2023] [Indexed: 10/04/2023] Open
Abstract
Congestion is an economic phenomenon of the production process in which the excessive values of inputs lead to a reduction of the outputs. As the existence of congestion makes to increase costs and decreases efficiency, this issue is not acceptable for decision makers. Hence, many methods have been proposed to detect the congestion in the Data Envelopment Analysis framework (DEA). Most of these methods are designed to deal with the decision making units (DMUs) that have no network structure. However, in most real-world applications, some units are composed of independent production subunits. Therefore, a new scheme is required to determine the congestion of such units. A multi-function parallel system is a more common case in the real world that is composed of the same number of subunits such that each subunit has specific functions. In this paper, considering the operation of individual components of each DMU, a new DEA model is proposed to identify and evaluate the congestion of the multi-function parallel systems. It is shown that the proposed method is highly economical in comparison with the existing black-box view from a computational viewpoint. Then, the proposed model is illustrated using a numerical example along with a real case study.
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Affiliation(s)
- Sarvar Sadat Kassaei
- Department of Mathematics, Science and Research Branch, Islamic Azad University, Tehran, Iran
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2
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Yazdi HD, Movahedi Sobhani F, Lotfi FH, Kazemipoor H. A novel algorithm for complete ranking of DMUs dealing with negative data using Data Envelopment Analysis and Principal Component Analysis: Pharmaceutical companies and another practical example. PLoS One 2023; 18:e0290610. [PMID: 37656711 PMCID: PMC10473491 DOI: 10.1371/journal.pone.0290610] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Accepted: 08/11/2023] [Indexed: 09/03/2023] Open
Abstract
When there is an extensive number of inputs and outputs compared to the number of DMUs, one of the drawbacks of Data Envelopment Analysis appears, which incorrectly classifies inefficient DMUs, as efficient ones. Accordingly, the DEA ranking power becomes further moderated. To improve the ranking power, this paper renders the details of an algorithm that presents a model combining the Principal Component Analysis and the Slacks-Based Measure (PCA-SBM) which reduces the number of the incorrectly determined efficient DMUs. Also to complete ranking of DMUs, the algorithm presents a Super-Efficiency model integrated with PCA (PCA-Super SBM) which can rank the efficient DMUs (extreme and non-extreme). Whereas the most important previous models for ranking efficient units cannot rank non-extreme ones. Additionally, in most previous studies, DEA models combined with PCA fail to handle negative data, while, the presented models can cover this data. Two case studies (pharmaceutical companies listed on the Iranian stock market and bank branches) are manipulated to demonstrate the applicability and performance of the algorithm. To show the superiority of the presented models, the SBM model without PCA and the Super SBM model without PCA have been implemented on the data of both cases. In comparing the two methods (PCA-SBM and SBM), the PCA-SBM model has higher ranking power (five efficient DMUs versus nineteen in the case of pharmaceutical companies and four efficient DMUs versus twenty-nine in the case of bank branches). Also in comparing the PCA-Super SBM and Super SBM, the PCA-Super SBM model works more powerfully in complete ranking. As the Super SBM model cannot rank non-extreme units unlike the PCA-Super SBM. Consequently, the presented algorithm works successfully in ranking the DMUs completely (inefficient, extreme, and non-extreme efficient) with low complexity.
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Affiliation(s)
- Hoda Dalili Yazdi
- Department of Industrial Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran
| | - Farzad Movahedi Sobhani
- Department of Industrial Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran
| | | | - Hamed Kazemipoor
- Department of Industrial Engineering, Central Tehran Branch, Islamic Azad University, Tehran, Iran
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3
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Shafie B, Javid AH, Behbahani HI, Darabi H, Lotfi FH. Modeling land use/cover change based on LCM model for a semi-arid area in the Latian Dam Watershed (Iran). Environ Monit Assess 2023; 195:363. [PMID: 36738365 DOI: 10.1007/s10661-022-10876-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Accepted: 12/17/2022] [Indexed: 06/18/2023]
Abstract
The monitoring and modeling of changes, based on a time-series LULC approach, is fundamental for planning and managing regional environments. The current study analyzed the LULC changes as well as estimated future scenarios for 2027 and 2037. To achieve accuracy in predicting LULC changes, the Land Change Modeler (LCM) was used for the Latian Dam Watershed, which is located approximately in the northeast of Tehran. The LULC time-series technique was specified utilizing four atmospherically endorsed surface reflectance Landsat images for the years t1 (1987), t2 (1998), t3 (2007), and t4 (2017) to authenticate the LULC predictions, so to obtain estimates for t5 (2027) and t6 (2037). The LULC classes identified in the watershed were water bodies, build-up areas, vegetated areas, and bare lands. The dynamic modeling of the LULC was based on a multi-layer perceptron (MLP), the neural network in LCM, which presented good results with an average accuracy rate equivalent to 84.89 percent. The results of the LULC change analysis showed an increase in the build-up area and a decrease in bare lands and vegetated areas within the duration of the study period. The results of this research could help in the formulation of public policies designed to conserve environmental resources in the Latian Dam Watershed and, consequently, minimize the risks of the fragmentation of orchards and vegetated areas. Also, careful regional planning ensuring the preservation of natural landscapes and open spaces is critical to creating a resilient regional environment and sustainable development.
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Affiliation(s)
- Banafsheh Shafie
- Department of Environmental Science, Faculty of Natural Resources and Environment, Science and Research Branch, Islamic Azad University (IAU), Tehran, Iran
| | - Amir Hossein Javid
- Department of Environmental Science, Faculty of Natural Resources and Environment, Science and Research Branch, Islamic Azad University (IAU), Tehran, Iran.
| | | | - Hassan Darabi
- Department of Environmental Design, Tehran University, Tehran, Iran
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4
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Arabjazi N, Rostamy-Malkhalifeh M, Lotfi FH, Behzadi MH. Stability analysis with general fuzzy measure: An application to social security organizations. PLoS One 2022; 17:e0275594. [PMID: 36264849 PMCID: PMC9584533 DOI: 10.1371/journal.pone.0275594] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Accepted: 09/20/2022] [Indexed: 11/25/2022] Open
Abstract
An effective method for evaluating the efficiency of peer decision-making units (DMUs) is data envelope analysis (DEA). In engineering sciences and real-world management problems, uncertainty in input and output data always exists. To achieve reliable results, uncertainties must be taken into account. In this research, a General Fuzzy (GF) approach is designed to cope with uncertainty in the presence of fuzzy observations for categorizing and specifying stability radius and alterations ranges of efficient and inefficient DMUs, which is applicable to real-world decision-making problems. For this purpose, a DEA sensitivity analysis model is presented, which will be modeled by fuzzy sets. Then, by applying the General Fuzzy (GF) approach, the fuzzy DEA sensitivity analysis model is transformed into the equivalent crisp form of fuzzy chance constraints according to specific confidence levels. Finally, a numerical example and a case study of branches of the social security organization are presented to illustrate sensitivity and stability analysis in the presence of fuzzy data. The obtained results provide the input and output changes of the evaluated units according to the attitude and preference of the decision maker with different confidence levels so that the data changes in the fuzzy environment do not change the units' classification from efficient to inefficient and vice versa.
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Affiliation(s)
- Nasim Arabjazi
- Department of Mathematics, Faculty of Science, Science and Research Branch, Islamic Azad University, Tehran, Iran
| | - Mohsen Rostamy-Malkhalifeh
- Department of Mathematics, Faculty of Science, Science and Research Branch, Islamic Azad University, Tehran, Iran
- * E-mail:
| | - Farhad Hosseinzadeh Lotfi
- Department of Mathematics, Faculty of Science, Science and Research Branch, Islamic Azad University, Tehran, Iran
| | - Mohammad Hasan Behzadi
- Department of Mathematics, Faculty of Science, Science and Research Branch, Islamic Azad University, Tehran, Iran
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5
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Peykani P, Hosseinzadeh Lotfi F, Sadjadi SJ, Ebrahimnejad A, Mohammadi E. Fuzzy chance-constrained data envelopment analysis: a structured literature review, current trends, and future directions. Fuzzy Optim Decis Making 2022; 21:197-261. [DOI: 10.1007/s10700-021-09364-x] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 06/07/2021] [Indexed: 09/01/2023]
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6
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Mohamadi E, Kiani MM, Olyaeemanesh A, Takian A, Majdzadeh R, Hosseinzadeh Lotfi F, Sharafi H, Sajadi HS, Goodarzi Z, Noori Hekmat S. Two-Step Estimation of the Impact of Contextual Variables on Technical Efficiency of Hospitals: The Case Study of Public Hospitals in Iran. Front Public Health 2022; 9:785489. [PMID: 35071166 PMCID: PMC8770937 DOI: 10.3389/fpubh.2021.785489] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Accepted: 10/28/2021] [Indexed: 11/13/2022] Open
Abstract
Background: Measuring the efficiency and productivity of hospitals is a key tool to cost contamination and management that is very important for any healthcare system for having an efficient system. Objective: The purpose of this study is to examine the effects of contextual factors on hospital efficiency in Iranian public hospitals. Methods: This was a quantitative and descriptive-analytical study conducted in two steps. First, we measured the efficiency score of teaching and non-teaching hospitals by using the Data Envelopment Analysis (DEA) method. Second, the relationship between efficiency score and contextual factors was analyzed. We used median statistics (first and third quarters) to describe the concentration and distribution of each variable in teaching and non-teaching hospitals, then the Wilcoxon test was used to compare them. The Spearman test was used to evaluate the correlation between the efficiency of hospitals and contextual variables (province area, province population, population density, and the number of beds per hospital). Results: On average, the efficiency score in non-teaching hospitals in 31 provinces was 0.67 and for teaching hospitals was 0.54. Results showed that there is no significant relationship between the efficiency score and the number of hospitals in the provinces (p = 0.1 and 0.15, respectively). The relationship between the number of hospitals and the population of the province was significant and positive. Also, there was a positive relationship between the number of beds and the area of the province in both types of teaching and non-teaching hospitals. Conclusion: Multilateral factors influence the efficiency of hospitals and to address hospital inefficiency multi-intervention packages focusing on the hospital and its context should be developed. It is necessary to pay attention to contextual factors and organizational architecture to improve efficiency.
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Affiliation(s)
- Efat Mohamadi
- Health Equity Research Center (HERC), Tehran University of Medical Sciences (TUMS), Tehran, Iran
| | - Mohammad Mehdi Kiani
- Health Equity Research Center (HERC), Tehran University of Medical Sciences (TUMS), Tehran, Iran.,Department of Health Management and Economics, School of Public Health, Tehran University of Medical Sciences (TUMS), Tehran, Iran
| | - Alireza Olyaeemanesh
- Health Equity Research Center (HERC), Tehran University of Medical Sciences (TUMS), Tehran, Iran.,National Institute of Health Research, Tehran University of Medical Sciences (TUMS), Tehran, Iran
| | - Amirhossein Takian
- Health Equity Research Center (HERC), Tehran University of Medical Sciences (TUMS), Tehran, Iran.,Department of Health Management and Economics, School of Public Health, Tehran University of Medical Sciences (TUMS), Tehran, Iran.,Department of Global Health and Public Policy, School of Public Health, Tehran University of Medical Sciences (TUMS), Tehran, Iran
| | - Reza Majdzadeh
- Community Based Participatory Research Centre and Knowledge Utilization Research Center, Tehran University of Medical Sciences (TUMS), Tehran, Iran
| | | | - Hamid Sharafi
- Department of Mathematics, Science and Research Branch, Islamic Azad University, Tehran, Iran
| | - Haniye Sadat Sajadi
- Knowledge Utilization Research Center, Tehran University of Medical Sciences, Tehran, Iran.,University Research and Development Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Zahra Goodarzi
- National Institute of Health Research, Tehran University of Medical Sciences (TUMS), Tehran, Iran
| | - Somayeh Noori Hekmat
- Research Center for Health Services Management, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran
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Sadeghiyan S, Hosseinzadeh Lotfi F, Daneshian B, Azarmir Shotorbani N. A model to reduce the risk of project selection utilizing data envelopment analysis. JM2 2021. [DOI: 10.1108/jm2-08-2020-0220] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Purpose
Project selection management is a matter of challenge for project-oriented organizations, particularly, if the decision-makers are confronted with limited resources. One of the main concerns is selecting an optimal subset that can successfully satisfy the requirements of the organization providing enough resources to the best subset of the project. The projects for which there are not enough resources or those requiring whole resources of the organization will collapse soon after failed to success. Therefore, the issue is in the risk of choosing a set of projects so that can make a balance in investment versus on collective benefit.
Design/methodology/approach
A model is presented for project selection and has been tested on the 37 available projects. This model could increase the efficiency of the whole subset of the project significantly in comparison to the other model and it was because of choosing a diverse subset of projects.
Findings
Provides a general framework for project selection and a diverse and balanced subset of projects to increase the efficiency of the selected subset. Also, reduces the impact of uncertainty risk on the project selection process.
Research limitations/implications
For the purposes of project selection, any project whose results are uncertain is a risky project because, if the project fails, it will reduce combined project value. For example, a pharmaceutical company’s R&D project is affected by the uncertain results of a specific compound. If the company invests in different compounds, a failure with one will be offset by a good result on another. Therefore, with selecting a diverse set of projects, this paper will have a different set of risks.
Originality/value
This paper discusses the risk of selecting or being responsible for selecting a project under uncertainty. Most of the projects in the field of project selection generally consider the risks facing the projects or existing models that do not take into account the risk.
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8
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Razipour-GhalehJough S, Lotfi FH, Rostamy-Malkhalifeh M, Sharafi H. Benchmarking bank branches : A dynamic DEA approach. Journal of Information and Optimization Sciences 2021. [DOI: 10.1080/02522667.2020.1833441] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Affiliation(s)
| | | | | | - Hamid Sharafi
- Department of Mathematics, Science and Research Branch, Islamic Azad University, Tehran, Iran
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9
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Abstract
Inputs and outputs of Decision Making Units (DMUs) are estimated by the Inverse Data Envelopment Analysis (InvDEA) models, while their relative efficiency scores remain unchanged. But, in some cases, cost/price information of the inputs and outputs are available. This paper employs the input and output cost/price information, including the generalized InvDEA concept in two-stage structures. To this end, it proposes a four-stage method to deal with the InvDEA concept, for estimating the inputs and outputs of the DMUs with a two-stage network structure method, while the allocative efficiency scores of all the units remain stable. Eventually, an empirical example is rendered to illustrate the competence of the method which is presented.
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Affiliation(s)
- Zahra Shiri Daryani
- Department of Mathematics, South Tehran Branch, Islamic Azad University, Tehran, Iran
| | - Ghasem Tohidi
- Department of Mathematics, Central Tehran Branch, Islamic Azad University, Tehran, Iran
| | - Behrouz Daneshian
- Department of Mathematics, Central Tehran Branch, Islamic Azad University, Tehran, Iran
| | - Shabnam Razavyan
- Department of Mathematics, South Tehran Branch, Islamic Azad University, Tehran, Iran
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10
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Mohamadi E, Olyaee Manesh A, Takian A, Majdzadeh R, Hosseinzadeh Lotfi F, Sharafi H, Jowett M, Kiani MM, Hosseini Qavam Abadi L, Fazaeli AA, Goodarzi Z, Sajadi HS, Noori Hekmat S, Freidoony L. Technical efficiency in health production: A comparison between Iran and other upper middle-income countries. Health Policy and Technology 2020. [DOI: 10.1016/j.hlpt.2020.06.007] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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11
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Mohamadghasemi A, Hadi‐Vencheh A, Hosseinzadeh Lotfi F. The multiobjective stochastic CRITIC–TOPSIS approach for solving the shipboard crane selection problem. INT J INTELL SYST 2020. [DOI: 10.1002/int.22265] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
| | - Abdollah Hadi‐Vencheh
- Department of Mathematics, Isfahan (Khorasgan) BranchIslamic Azad University Isfahan Iran
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12
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Mohamadinejad H, Amirteimoori A, Lotfi FH, Kordrostami S. Performance and competition analysis with fixed-sum measures : A case on OPEC members. Journal of Information and Optimization Sciences 2020. [DOI: 10.1080/02522667.2020.1769265] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Affiliation(s)
| | | | | | - Sohrab Kordrostami
- Department of Applied Mathematics, Islamic Azad University, Lahidjan Branch, Lahidjan, Iran
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13
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Sajadi HS, Goodarzi Z, Takian A, Mohamadi E, Olyaeemanesh A, Hosseinzadeh Lotfi F, Sharafi H, Noori Hekmat S, Jowett M, Majdzadeh R. Assessing the efficiency of Iran health system in making progress towards universal health coverage: a comparative panel data analysis. Cost Eff Resour Alloc 2020; 18:20. [PMID: 32612458 PMCID: PMC7324989 DOI: 10.1186/s12962-020-00215-x] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2020] [Accepted: 06/15/2020] [Indexed: 01/22/2023] Open
Abstract
BACKGROUND Building upon decades of continuous reforms, Iran has been implementing various initiatives to reach universal health coverage (UHC). Improving efficiency is a crucial intermediate policy objective for UHC. Therefore, this article aimed to measure the efficiency and productivity changes of the Iranian health system in making progress towards UHC during 2010-2015 in comparison with 36 selected other upper-middle-income countries. METHODS We used panel data to measure the variations in technical efficiency (TE) and total factor productivity (TFP) through an extended data envelopment analysis (EDEA) and Malmquist productivity index, respectively. General government health expenditure (GGHE) per capita (International dollar) was selected as the input variable. Service coverage of diphtheria, tetanus and pertussis; family planning; antiretroviral therapy; skilled attendants at birth; Tuberculosis treatment success rate; and GGHE as % of total health expenditure (THE) were considered as output variables. The data for each indicator were taken from the Global Health Observatory data repository and World Development Indicator database, for 6 years (2010-2015). RESULTS The TE scores of Iran's health system were 0.75, 0.77, 0.74, 0.74, 0.97, and 0.84 in the period 2010-2015, respectively. TFP improved in 2011 (1.02), 2013 (1.01), and 2014 (1.30, generally). The overall efficiency and TFP increased in 2014. Changes made in CCHE per capita and GGHE/THE attributed to the increase of efficiency. CONCLUSION There is a growing demand for efficiency improvements in the health systems to achieve UHC. While there are no defined set of indicators or precise methods to measure health system efficiency, EDEA helped us to draw the picture of health system efficiency in Iran. Our findings highlighted the essential need for targeted and sustained interventions, i.e., allocation of enough proportion of public funds to the health sector, to improve universal financial coverage against health costs aiming to enhance the future performance of Iran's health system, ultimately. Such tailored interventions may also be useful for settings with similar context to speed up their movement towards improving efficiency, which in turn might lead to more resources to reach UHC.
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Affiliation(s)
- Haniye Sadat Sajadi
- Knowledge Utilization Research Center, University Research and Development Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Zahra Goodarzi
- National Institute for Health Research, Tehran University of Medical Sciences, Tehran, Iran
| | - Amirhossein Takian
- Department of Global Health & Public Policy, Department of Management Sciences & Health Economics, School of Public Health, Health Equity Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Efat Mohamadi
- Health Equity Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Alireza Olyaeemanesh
- National Institute for Health Research, Health Equity Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | | | - Hamid Sharafi
- Department of Mathematics, Science and Research Branch, Islamic Azad University, Tehran, Iran
| | - Somayeh Noori Hekmat
- Management and Leadership in Medical Education Research Center, Kerman University of Medical Sciences, Kerman, Iran
| | - Matthew Jowett
- Department of Health Systems Governance & Financing, World Health Organization, Geneva, Switzerland
| | - Reza Majdzadeh
- Knowledge Utilization Research Center, Community-Based Participatory-Research Center,and School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
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14
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Nosrat A, Sanei M, Payan A, Hosseinzadeh Lotfi F, Razavyan S. Using credibility theory to evaluate the fuzzy two-stage DEA: Sensitivity and stability analysis. IFS 2019. [DOI: 10.3233/jifs-181519] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Affiliation(s)
- Azizollah Nosrat
- Department of Mathematics, Central Tehran Branch, Islamic Azad University, Tehran, Iran
| | - Masoud Sanei
- Department of Mathematics, Central Tehran Branch, Islamic Azad University, Tehran, Iran
| | - Ali Payan
- Department of Mathematics, Zahedan Branch, Islamic Azad University, Zahedan, Iran
| | | | - Shabnam Razavyan
- Department of Mathematics, South Tehran Branch, Islamic Azad University, Tehran, Iran
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15
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Torabi N, Tavakkoli-Moghaddam R, Najafi E, Hosseinzadeh Lotfi F. Multi-objective interior search algorithm for optimization: A new multi-objective meta-heuristic algorithm. IFS 2018. [DOI: 10.3233/jifs-172005] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Affiliation(s)
- Navid Torabi
- Department of Industrial Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran
| | - Reza Tavakkoli-Moghaddam
- School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran
- Arts et Métiers Paris Tech, LCFC, Metz, France
| | - Esmaiel Najafi
- Department of Industrial Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran
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16
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Gharakhani D, Toloie Eshlaghy A, Fathi Hafshejani K, Kiani Mavi R, Hosseinzadeh Lotfi F. Common weights in dynamic network DEA with goal programming approach for performance assessment of insurance companies in Iran. MRR 2018. [DOI: 10.1108/mrr-03-2017-0067] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Purpose
Conventional data envelopment analysis (DEA) models permit each decision-making unit (DMU) to assess its efficiency score with the most favorable weights. In other words, each DMU selects the best weighting schemes to obtain maximum efficiency for itself. Therefore, using different sets of weights leads to many different efficient DMUs, which makes comparing and ranking them on a similar basis impossible. Another issue is that often more than one DMU is evaluated as efficient because the selection of weights is flexible; therefore, all DMUs cannot be completely differentiated. The purpose of this paper is to development a common weight in dynamic network DEA with a goal programming approach.
Design/methodology/approach
In this paper, a goal programming approach has been proposed to generate common weights in dynamic network DEA. To validate the applicability of the proposed model, the data of 30 non-life insurance companies in Iran during 2013-2015 have been used for measuring their efficiency scores and ranking all of the companies.
Findings
Findings show that the proposed methodology is an effective and practical approach to measure the efficiency of DMUs with dynamic network structure.
Originality/value
The proposed model delivers more knowledge of the common weight approaches and improves the DEA theory and methodology. This model makes it possible to measure efficiency scores and compare all DMUs from multiple different standpoints. Further, this model allows one to not only calculate the overall efficiency of DMUs throughout the time period but also consider dynamic change of the time period efficiency and dynamic change of the divisional efficiency of DMUs.
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17
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Shamaii A, Omidvari M, Lotfi FH. Health, safety and environmental unit performance assessment model under uncertainty (case study: steel industry). Environ Monit Assess 2017; 189:42. [PMID: 28035614 DOI: 10.1007/s10661-016-5726-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/15/2016] [Accepted: 11/29/2016] [Indexed: 06/06/2023]
Abstract
Performance assessment is a critical objective of management systems. As a result of the non-deterministic and qualitative nature of performance indicators, assessments are likely to be influenced by evaluators' personal judgments. Furthermore, in developing countries, performance assessments by the Health, Safety and Environment (HSE) department are based solely on the number of accidents. A questionnaire is used to conduct the study in one of the largest steel production companies in Iran. With respect to health, safety, and environment, the results revealed that control of disease, fire hazards, and air pollution are of paramount importance, with coefficients of 0.057, 0.062, and 0.054, respectively. Furthermore, health and environment indicators were found to be the most common causes of poor performance. Finally, it was shown that HSE management systems can affect the majority of performance safety indicators in the short run, whereas health and environment indicators require longer periods of time. The objective of this study is to present an HSE-MS unit performance assessment model in steel industries. Moreover, we seek to answer the following question: what are the factors that affect HSE unit system in the steel industry? Also, for each factor, the extent of impact on the performance of the HSE management system in the organization is determined.
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Affiliation(s)
- Azin Shamaii
- Science and Research Branch, Islamic Azad University, Tehran, Iran
| | - Manouchehr Omidvari
- Industrial and Mechanical Engineering Faculty, Islamic Azad University, Qazvin Branch, Qazvin, Iran.
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Pouriyeh A, Khorasani N, Hosseinzadeh Lotfi F, Farshchi P. Efficiency evaluation of urban development in Yazd City, Central Iran using data envelopment analysis. Environ Monit Assess 2016; 188:618. [PMID: 27743278 DOI: 10.1007/s10661-016-5548-0] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/10/2016] [Accepted: 08/24/2016] [Indexed: 06/06/2023]
Abstract
Unplanned growth of cities is a matter of concern these days. Lack of attention to proper patterns of urban development has left so many harmful effects on human health and the environment. One of the most effective methods that can be used to measure the efficiency of urban development is data envelopment analysis (DEA). The present study is an attempt to evaluate the performance and efficiency of development of Yazd City using the DEA over the years 1983-2013. In this regard, the ecological factors, affecting the growth of the city of Yazd in the study period, were identified initially. The factors include elevation, slope, aspect, geology, morphology, soil, water quantity, climatic features, and land cover. Next, using variable returns to scale (BCC) based on the output-oriented approach, the efficiency of development of Yazd City was calculated by GAMS software to recognize efficient and inefficient units. Then, Anderson-Peterson (AP) ranking method was used to rank the most efficient units in the development of Yazd City over the study years. The obtained results indicated that the DMUs 2 (1984), 3 (1986), 12 (1994), 15 (1997), 21 (2004), up to 30 (2013) were efficient and introduced as units with proper performance in terms of ecological indicators affecting the urban growth. According to the Anderson-Peterson method, DMU 3 (1986) was recognized as the most efficient unit, ranked the highest (with a score of 1.20319) among the other 30 units in terms of ecological indicators affecting development of the urban growth. The research findings could clarify the strength and weak points of the ecological characteristics of the city. According to which, a comprehensive understanding of the performance of the city could be given to relevant authorities in order to amend inefficient units of urban development or direct the orientation of the city growth toward the most efficient directions.
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Affiliation(s)
- Amanehalsadat Pouriyeh
- Department of Environmental Science, Faculty of Environment and Energy, Science and Research Branch, Islamic Azad University, Tehran, Iran
| | - Nematollah Khorasani
- Department of Environmental Science, Faculty of Environment and Energy, Science and Research Branch, Islamic Azad University, Tehran, Iran.
| | | | - Parvin Farshchi
- Department of Environmental Science, Faculty of Environment and Energy, Science and Research Branch, Islamic Azad University, Tehran, Iran
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Khalili-Damghani K, Sadi-Nezhad S, Lotfi FH, Tavana M. A hybrid fuzzy rule-based multi-criteria framework for sustainable project portfolio selection. Inf Sci (N Y) 2013. [DOI: 10.1016/j.ins.2012.07.024] [Citation(s) in RCA: 42] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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Shirouyehzad H, Lotfi FH, Dabestani R. Aggregating the results of ranking models in data envelopment analysis by Shannon's entropy: a case study in hotel industry. ACTA ACUST UNITED AC 2013. [DOI: 10.1504/ijmom.2013.055970] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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Roostaee R, Izadikhah M, Lotfi FH, Rostamy-Malkhalifeh M. A Multi-Criteria Intuitionistic Fuzzy Group Decision Making Method for Supplier Selection with VIKOR Method. ACTA ACUST UNITED AC 2012. [DOI: 10.4018/ijfsa.2012010101] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Supplier selection, the process of finding the right suppliers who are able to provide the buyer with the right quality products and/or services at the right price, at the right time and in the right quantities, is one of the most critical activities for establishing an effective supply chain, and is typically a multi-criteria group decision problem. In many practical situations, there usually exists incomplete and uncertain information, and the decision makers cannot easily express their judgments on the candidates with exact and crisp values. Therefore, in this paper an extended VIKOR method for group decision making with intuitionistic fuzzy numbers is proposed to solve the supplier selection problem under incomplete and uncertain information environment. In other researches in this area, the weights of each decision makers and in many of them the weights of criteria are pre-determined, but these weights have been calculated in this paper by using the decision matrix of each decision maker. Also, normalized Hamming distance is proposed to calculate the distance between intuitionistic fuzzy numbers. Finally, a numerical example for supplier selection is given to clarify the main results developed in this paper.
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Affiliation(s)
- Razieh Roostaee
- Science and Research Branch, Islamic Azad University, Tehran-Branch, Tehran, Iran
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