ORIGINAL_ARTICLE
Green Supply Chain Risk Network Management and Performance Analysis: Bayesian Belief Network Modeling
With the increase in environmental awareness, competitions and government policies, implementation of green supply chain management activities to sustain production and conserve resources is becoming more necessary for different organizations. However, it is difficult to successfully implement green supply chain (GSC) activities because of the risks involved. These risks alongside their resources disrupt the normal functioning of the GSC and affect its environmental and economic performance. The pharmaceutical industry in particular, is crucial to providing life-saving products and services to the society. The products and services provided in this industry, have several impacts on the environment in different ways. These include expired or unused medicines, inappropriate distribution by pharmacies or drug companies, disposal of surplus medicines in household sewage and improper disposal of pills or capsules by patients. This study represents a GSC risk network model that considers the interrelationships between risks in order to achieve an optimal level of performance measures defined in the supply chain by Bayesian Belief Networks (BBN). The model is empirically implemented through a case study conducted in Imam Reza hospital of Mashhad medicine supply chain involving structured and semi-structured interviews and workshop sessions with experts. This work uses a literature review and a causal map BBN approach in finalizing the risks and also uses the BBN inference system and scenario analysis for prioritization and analysis of the risks through the network under probability conditions. According to the findings, inefficient logistics network design, supplier quality issues and green raw material supply disruption are highly prioritized.
https://www.eeer.ir/article_107195_582fc8042cac65ec202c41faf2f5aeec.pdf
2020-08-01
165
183
10.22097/eeer.2020.215399.1134
Green supply chain
Bayesian belief network model
medicine supply chain risks
interacting risks
Supply chain performance
Mahdi
Shakeri
mahdi.shakeri3333@gmail.com
1
Faculty of Economics and Management, Semnan University, Semnan, Iran
LEAD_AUTHOR
Azim
Zarei
a_zarei@semnan.ac.ir
2
Faculty of Economics and Management, Semnan University, Semnan, Iran
AUTHOR
Adel
Azar
azara@modares.ac.ir
3
Faculty of Management and Economics, Tarbiat Modares University, Tehran, Iran
AUTHOR
Morteza
Maleki Minbash Razgah
mmaleki80@semnan.ac.ir
4
Faculty of Economics and Management, Semnan University, Semnan, Iran
AUTHOR
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ORIGINAL_ARTICLE
Evaluation of optimal waste management in the plating industry based on the Delphi Method and Fuzzy Analytic Hierarchy Process (Case Study: Paitakht Industrial District of Tehran)
The plating industry is one of the main toxic chemicals consumers, which uses various chemicals, including solvents, acids, bases, cleansers, sophisticated organic ingredients, and metal salts of cadmium, nickel and chromium. Due to the growing production of industrial waste in spite of actions related to these wastes’ management, no comprehensive pattern was introduced at different levels. This research uses equipment and standards, including techniques such as Multi-Criteria Decision Supporting System and Fuzzy Analytic Hierarchy Process, to rank and prioritize the participation contribution of the factors that are effective in optimizing the management of waste from the plating industry in a case study, implementing the model on Paitakht Industrial District of Tehran. In order to evaluate waste management situation in the metal plating industry, an integrated empirical model with principles and concepts of Balanced Scorecard Method was used, and factors were identified using the Delphi method. Variation range related to total score based parameters were calculated by the scalographic method, and the significance of the linear relationship between them was analyzed using linear regression in order to determine industrial waste management at three levels, including weak, moderate, and appropriate, presentingthe final pattern. The results showed that waste management in the plating industry, as a sample of special waste and residue, was at a low level. Considering to outputs from the represented pattern, to improve industrial waste management in first priority considered, item interpretation and proceeding to medium-term strategic planning were provided to eliminate the limitations and mentioned issues.
https://www.eeer.ir/article_107196_bbd3061ebd5ade4e8955f9e129fb1dd3.pdf
2020-08-01
185
196
10.22097/eeer.2020.215137.1132
Balanced Scorecard Method
Delphi method
Empirical Modeling
Plating Industrial Waste management
Mina
Moeeni
moeeni.mina@gmail.com
1
Faculty of Natural Resources and Environment, Science and Research Branch, Islamic Azad University, Tehran, Iran
AUTHOR
Ghasemali
Omrani
omrani.gh2018@yahoo.com
2
Faculty of Natural Resources and Environment, Science and Research Branch, Islamic Azad University, Tehran, Iran
LEAD_AUTHOR
Nematollah
Khorasani
khorasan@ut.ac.ir
3
College of Agriculture and Natural Resources, University of Tehran, Karaj, Iran
AUTHOR
Reza
Arjmandi
hrezaarjmandi@gmail.com
4
Faculty of Natural Resources and Environment, Science and Research Branch, Islamic Azad University, Tehran, Iran
AUTHOR
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Vigneswaran, S., Jegatheesan, V., and Visvanathan, C. (1999). Industrial waste minimization initiatives in Thailand: concepts, examples and pilot scale trials. Journal of Cleaner Production 7, 43–47.
39
Wang Q., Yang Zh., (2016). Industrial water pollution, water environment treatment, and health risks in China. Environmental Pollution, 218, 358-365.
40
Wang, Y. M., Luo, Y., and Hua, Z. (2008). On the extent analysis method for fuzzy AHP and its applications. European journal of operational research, 186(2), 735-747.
41
Wei, M.-S., and Huang, K.H. (2001). Recycling and reuse of industrial wastes in Taiwan. Waste Management, 21, 93–97.
42
Yavuz, Y., and Ögütveren, Ü.B. (2017). Treatment of industrial estate wastewater by the application of electrocoagulation process using iron electrodes. Journal of Environmental Management, 207, 151-158.
43
Yetis, U., Yilmaz, O., and Kara, B.Y., (2017). Hazardous waste management system design under population and environmental impact considerations. Journal of Environmental Management, 203(2), 720-731.
44
Zamorano, M., Grindlay, A., Molero, E., and Rodríguez, M. (2011). Diagnosis and proposals for waste management in industrial areas in the service sector: case study in the metropolitan area of Granada (Spain). Journal of Cleaner Production, (19), 1946-1955.
45
ORIGINAL_ARTICLE
Utilizing Strategic Management Accounting Techniques in Iranian Firms
The main objective of this article is to describe and explain the utilization of Strategic Management Accounting Techniques (SMATs) in Iranian various firms. For this, a survey was carried out using questionnaires provided for the seventy-five Chief Executive Officers in productive and services firms. Data gathered from respondents about the usage rate of SMATs based on the five-point Likert scale. The findings show that the usage rate of SMATs is different in the strategic management of quality, business, market, and competitors. The results suggest that all approximately major of SMATs has used in the different firms, while the strategic tools such as market segment analysis, product profitability analysis, competitors’ analysis, customers’ profitability analysis, R&D and MRP and a few other techniques are widely known among firms. Also, the use of these tools and techniques are not the same among the firms operating in various industries and having different size and ownership. As a result, there were identified hidden reserves for wider dissemination of Strategic management accounting in practice. The research disclosed that strategic management accounting could be assessed company-wide, seeking to find an optimal configuration of the local management accounting system from Technical - managerial view.
https://www.eeer.ir/article_107197_7072ad03cbac92804df6c09ec734a00c.pdf
2020-08-01
197
214
10.22097/eeer.2020.226800.1153
Management Accounting
Strategic Management Accounting Techniques
Technical-Managerial view
Iran
Seyedeh Ameneh
Mirbagheri Roodbari
mirbagheriamane@yahoo.com
1
Faculty of Social Science, Imam Khomeini International University, Qazvin, Iran
LEAD_AUTHOR
Gholamreza
Kordestani
kordestani@soc.ikiu.ac.ir
2
Faculty of Social Science, Imam Khomeini International University, Qazvin, Iran
AUTHOR
Akmeşe, H., and Bayrakçı, S. (2016). A Research on Use of Management Accounting Tools and Techniques in Fast Food Operations: The Case of Konya. 2nd Multidisciplinary Conference. Madrid: SPAIN 2-4 November, 8-21.
1
Armitage, H.M., and Scholey, C. (2006). Management Accounting Guideline. Using Strategy Maps to Drive Performance. The Society of Management Accountants of Canada. The American Institute of Certified Public Accountants and The Chartered Institute of Management Accountants.
2
Askarany, D. (2004). The Evolution of Management Accounting Innovations and the Level of Satisfaction with Traditional Accounting Techniques. University of South Australia, 1-26.
3
Birnberg, J. G. (2000). The Role of Behavioral Research in Management Accounting Education in the 21st Century. Issues in Accounting Education, 15 (4), 713-728.
4
Cescon, F., Costantini, A., and Grassetti, L. (2018). Strategic choices and strategic management accounting in large manufacturing firms. Journal of Management and Governance, 23(3), 605–636.
5
Cinquini, L., and Tenucci, A. (2010). Strategic management accounting and business strategy: a loose coupling?. Journal of Accounting & Organizational Change, 6(2), 228–259.
6
Elbanna, S. (2007). The nature and practice of strategic planning in Egypt. Strategic Change, 16, 227-243.
7
Fuertes, G., Alfaro, M., Vargas, M., Gutierrez, S., Ternero, R., and Sabattin, J. (2020). Conceptual Framework for the Strategic Management: A Literature Review—Descriptive. Hindawi: Journal of Engineering, 1-21.
8
Hassas Yeganeh, Y. Dianati Deilami, Z. and Norooz Beigi, E. (2011). Investigating Management Accounting Status in Accepted Companies in Tehran Stock Exchange. Journal of Management Accounting, 4 (8), 1-18.
9
Kader, M.A., and Luther, R. (2004). An Empirical Investigation of the Evolution of Management Accounting Practices. Colchester: Dept. of Accounting, Finance, and Management.
10
Kalkan, A., and Bozkurt, O. C. (2013). The choice and use of strategic planning tools and techniques in Turkish SMEs according to attitudes of executives. Procedia - Social and Behavioral Sciences, 99, 1016-1025.
11
Kamal, Sh. (2015). Historical Evolution of Management Accounting, The Cost and Management, 43 (4), 12-19.
12
Kaplan, R. S., and Norton, N. P. (2000). Having Trouble with Your Strategy? Then Map It, Harvard Business review (September-October).
13
Khodamipour, A., and Talebi, R. (2010). the investigation of the use of the management accounting tools by managers of productive companies listed in Tehran stock exchange. journal of accounting knowledge, 1 (2), 117 - 137.
14
Ma, Y., and Tayles, M. (2009). On the emergence of strategic management accounting: An institutional perspective. Accounting and Business Research, 39(5), 473-495.
15
Mclellan, J.D., and Moustafa, E. (2013). An exploratory analysis of management accounting practices in the Arab Gulf Cooperative countries. Journal of Islamic Accounting and Business Research. 4 (1), pp. 51-63.
16
Mashayekhi, B., and Mashayekh, Sh. (2008). Development of accounting in Iran. The International Journal of Accounting, 43 (1), 66-86.
17
Mohamed, A. A. (2010). a Proposed Strategic Management Accounting Model for Profitability: An Empirical Study, Ph.D. thesis, University of Gloucestershire, 1-282.
18
Nair, S., and Nian, Y.S. (2017). Factors Affecting Management Accounting Practices in Malaysia. International Journal of Business and Management. 12(10), 177-184.
19
Nouri, B. A., and Soltani, M. (2017). Analyzing the use of strategic management tools and techniques between Iranian firms. Academy of Strategic Management Journal, 16 (1), 1-18.
20
Pavlatos, O. (2015). An empirical investigation of strategic management accounting in hotels. International Journal of Contemporary Hospitality Management, 27(5), 756–767.
21
Pavlatos, O., and Kostakis, X. (2018). The impact of top management team characteristics and historical financial performance on strategic management accounting. Journal of Accounting and Organizational Change, 14(4), 455–472.
22
Petera, P., and Soljakov, L. (2019). Use of strategic management accounting techniques by companies in the Czech Republic. Economic research-ekonomska istraživanja., 33 (1), 46–67.
23
Pires, R., Alves, M., and Rodrigues, L.L. (2015). Strategic management accounting: Definitions and dimensions. In XVIII Congreso AECA Innovación y internacionalización: factores de éxito para la pyme. Cartagena. 1-17.
24
Rahnamay Roodposhti, F., and Ahyaei, H. (2015). Evaluation of Theoretical Framework of Management Accounting and Conceptual Model Presentation, Ph.D. thesis. Islamic Azad University. Tehran Research Branch.
25
Ramljak, B., and Rogoši ć, A. (2012). Strategic management accounting practices in Croatia. The Journal of International Management Studies. 7(2), 93-100.
26
Šaponja, L. D., and Suljović, E. (2017). Strategic management accounting in the Republic of Serbia. Economic Research-Ekonomska Istraživanja, 30 (1), 1829-1839.
27
Simmonds, K. (1981). Strategic management accounting. Management accounting, 59 (4). 26-29.
28
Siska, L. (2016). The contingency factors affecting management accounting in Czech companies. Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 64(4).1383–1392.
29
Sulaiman, M., Nik Ahmad, N. N., and Alwi, N. (2004). Management accounting practices in selected Asian countries. Managerial Auditing Journal, 19 (4), 493–508.
30
Strumickas, M., and Valanciene, L. (2008). Research of Changes of Management Accounting in Context of Modern Management Theories. Economics and Management – 2008, 72-78.
31
Strumickas, M., and Valanciene, L. (2009). Research of Management Accounting Changes in Lithuanian Business Organizations. Inzinerine Economical-Engineering Economics (3), 26-32.
32
Strumickas, M., and Valanciene, L. (2010). Development of Modern Management Accounting System. Engineering Economics, 21(4). 377-386.
33
Waweru, N. M. (2010). The origin and evolution of management accounting: a review of the theoretical framework. Problems, and Perspectives in Management, 8(3-1), 165-182.
34
Wickramasinghe, D. and Alawattage, Ch. (2012). Management Accounting Change: Approaches and Perspectives. Routledge.
35
Valipour, H., and Kaviani Fard, H. (2017). The importance of the field of industry in the type of management accounting procedures. Journal of Accounting Research, 7 (3), 81-95.
36
Vásquez, A. U., and Naranjo-Gil, D. (2020). Management Accounting Systems, Top Management Teams, and Sustainable Knowledge Acquisition: Effects on Performance. Sustainability, 12(5), 1-14.
37
ORIGINAL_ARTICLE
Developing Flood Economic Loss Evaluation Model in Residential and Commercial Sectors Case Study: Darband and Golab Darreh Rivers
Flood phenomenon is one of the catastrophic natural disasters which usually cause injuries and economic losses more than any weather phenomenon. Therefore evaluating flood economic losses is extremely important and it should be consider in socioeconomic development, spatial planning policies and flood control plans. Contrary to importance of this issue, available evaluating methods of flood economic losses are not comprehensive and there is not any consideration of environmental, economic and uncertainty approaches simultaneously. Comprehensive flood economic loss evaluating methods help to decision makers for choosing best strategies of flood control in structural and non-structural plans. In this research flood loss scale and distribution is evaluated based on economic and environmental approaches. According to importance and requirement of developing a sustainable master plan for evaluating flood economic losses especially in mega-cities a flood economic loss evaluating model is developed in Darband and Golab Darreh Rivers and Maghsoud Beyk Channel using HEC-FDA model. The results showed most economic losses by determining 8 hazardous points is occurred in residential sectors of Maghsoud Beyk Channel, also in this region total loss calculated 12,220,239 dollars, so the cost of flood control plan should be lower than this loss amount, for that could be having economic justification. In order to obtain acceptable accuracy in evaluating flood economic losses, hydro-logic and hydraulic uncertainties are evaluated based on the Monte-Carlo method.
https://www.eeer.ir/article_107199_3ca2e6af9ff81dade7587a82d2c2b20d.pdf
2020-08-01
215
229
10.22097/eeer.2020.212510.1127
Flood Economic Loss
HEC-FDA
HEC-RAS
Uncertainty
Mahsa
Moosakhaani
mahsa_moosakhaani@yahoo.com
1
Faculty of Marine Science and Technology, North Tehran Branch, Islamic Azad University, Tehran, Iran
AUTHOR
Lida
Salimi
l_salimi@iau-tnb.ac.ir
2
Faculty of Marine Science and Technology, North Tehran Branch, Islamic Azad University, Tehran, Iran
LEAD_AUTHOR
Mohammad Taghi
Sadatipour
sadatipour1960@yahoo.com
3
Faculty of Marine Science and Technology, North Tehran Branch, Islamic Azad University, Tehran, Iran
AUTHOR
Mohammad
Rabbani
m-rabbani@iau-tnb.ac.ir
4
Faculty of Marine Science and Technology, North Tehran Branch, Islamic Azad University, Tehran, Iran
AUTHOR
Abebe, Y. A., Ghorbani, A., Nikolic, I., Vojinovic, Z. and Sanches, A. (2019). A coupled Flood Agent-Institution Modelling (CLAIM) Framework fo Urban Flood Risk Management. Environmental Modelling & Sofware, 111, 483-492.
1
Acosta, L., Eugenio E. A., Beatrice, P., Damasa, B., Kuan-Hui Lin, E., Abucay, E. R., Lorenz Cura A. and Primaveria M. G. (2016). Loss and damage from typhoon-induced floods and landslides in the Philippines: Community Perceptions on climate impacts and adaptation options, Global Warming, 9(1), 33-65.
2
Afifi, Z., Chu, j. H., Kuo, Y-L., Hsu, Y.C., Wong, H. K. and Ali, M. Z. (2019). Residential Flood Loss Assessment and Risk Mapping from High-Resolution Simulation. Water, 11(4), 751.
3
Alzahrani, A. S. (2019). Application of Two-Dimentional Hydraulic
4
Modelling in Riverine System Using HEC-RAS. Master of Degree Deissertation, 9-11.
5
Blanco, E., Glenn Dutcher, E., and Haller, T. (2019). Social dilemmas with public and private insurance against losses. Economic Behavior and Organization, 158, 560-574.
6
Criado, M., Graña A. M., San Román J. S. and Santos Francés, F. (2019). Flood Risk Evaluation in Urban Spaces: The Study Case ot Tormes River (Salamanaca, Spain). Environmental Rsearch and Public Health, 16(5), 1-19.
7
Draghia, A. F. and Drobot, R. (2017). Coordinated Flood Management of Cascade Reservoir - Case Study: Jira River. Environmental Engineering and Management, 16(3), 751-760.
8
Driessen, P., Hegger, T., Kundzewicz, W., Rijswick, W., Crabbé, A., Larrue, C., et al. (2018). Governance Strategies for Improving Flood Resilience in the Face of Climate Change. Water, 10(11), 1-16.
9
Kazemi, A., Moghaddam, M. H., Nikjoo, M. R., Hejazi, M. A., and Khezri, S. (2017). Zoning and Management of the Hazard of Floodwater in the Siminehrood River Using the HEC-RAS Hydraulic Model. Environmental Hazard Management, 3(4), 379-393. (In Persian)
10
Kheradmand, S., Seidou, O., and Konte, D. (2018). Evaluation of adaptation options to flood risk in a probabilistic Framework. Hydrology. Regional Studies, 19, 1-16.
11
Langat, P.K., Kumar, L. and Koech, R. (2019). Identification of the Most Suitable Probability Distribution Models for Maximum, Minimum, and Mean Streamflow. Water, 11(4), 734.
12
Martínez-Graña, A. M. and Gago, C. (2018). Environmental Anaysis of Flood Risk in Urban Planning: A Case Study in Las Quemadillas Cordoba, Spain. Environmental Enginnering and Managemet, 17(11), 2527-2536.
13
Rahmati, O., Yousefi, S., Kalantari, Z., Uuemaa, E., Teimurian, T., Keesstra, S., Pham, T. D. and Bui, D. T. (2019). Multi-Hazard Exposure Mapping Using Machine Learning Techniques: A Case Study from Iran. Remote Sensing, 11(16), 1-20.
14
Solin, L., MadajováL, M. S. and Michaleje, L. (2018). Vulnerability assessment of households and its possible reflection in flood risk management: The case of the upper Myjava basin, Slovakia. Disaster Risk Reduction, 28, 640-652.
15
Safe Community Secretariat Region1 Tehran Municipality. (2011). Full Report of Safe Community Region1 Tehran Municipality For Joining International Safe Community Network, 1, 105-112.
16
U.S. Army Corps of Engineering (Hydrologic engineering center) (2016). HEC-FDA Flood Damge Reduction Analysis, Version 1.4.1.
17
Waghwala, R. K. and Agnihotri, P.G. (2019). Flood Risk Assessment and Resilience Strategies for Flood Risk Management: A Case Study of Surat City. Disaster Risk Reduction, 40, 1-13.
18
Wagenaar, D.J., Dahm, R.J., Diermanse, F.L.M., Dias, W.P.S., Dissanayake, D.M.S.S., Vajja, H.P., Gehrels, J.C., and Bouwer, L.M. (2019). Evaluating adaptation measures for reducing flood risk: A case study in the City of Colombo, Sri Lanka. Disaster Risk Reduction, 37, 1-12.
19
Yang, S.Y., Chan, M.H., Chang, C.H. and Chang, L.F. (2019). The Damage Assessment of Flood Risk Transfer Effect on Surrounding Areas Arising from the Land Development in Tainan. Taiwan. Water, 10(4), 473.
20
Zelenakova, M., Fijko, R., Labant, S., Weiss, E., Markovi, G., and Weiss, R., (2019). Flood risk modelling of the Slatvinec stream in Kruzlov village, Slovakia. Cleaner Production, 212, 109-118.
21
ORIGINAL_ARTICLE
Decomposition analysis of Changes in Energy Consumption in Iran: Structural Decomposition Analysis
The aim of this study is decomposition of the changes in energy consumption with emphasizing the structural changes in Iran during 2001-2011 using Input- Output Structural Decomposition Analysis (I_O SDA). Structural changes in this study represent the changes in structure of intermediate input in sectors and also changes in structure of final demand categories. Structural changes in intermediate inputs decomposed into intermediate input substitution in sectors and changes in direct backward linkages. Structural changes in final demand represent the changes of the share of each sector in total final demand categories. The results showed that energy coefficients helped to reduce energy use and final demand changes and technological changes (structural changes in intermediate inputs) caused to increase of energy use. The final demand had the main contribution on increase of energy use (44186.26 BGJ). Among the final demand components, increase in level of investment and household’s consumption was the main drivers of energy use increment
https://www.eeer.ir/article_107200_0e0f02031d7842fb12af9286fc582b0b.pdf
2020-08-01
231
239
10.22097/eeer.2020.214686.1131
energy consumption
structural change
Structural Decomposition Analysis
Iran
Hanieh
Kazemi
hani_kazemi93@yahoo.com
1
University of Sistan and Baluchestan, Zahedan, Iran
AUTHOR
Ramezan
Hosseinzadeh
ra.hosseinzadeh@eco.usb.ac.ir
2
University of Sistan and Baluchestan, Zahedan, Iran
LEAD_AUTHOR
Alcantara, V., Del Río, P., and Hernandez, F. (2010). Structural analysis of electricity consumption by productive sectors: The Spanish case. Energy, 35(4), 2088-98.
1
Ang, B.W., Mu, A.R., and Zhou, P. (2010). Accounting frameworks for tracking energy efficiency trends. Energy Economics, 32 (5), 1209–1219.
2
Chai, J., Guo, J.-E., Wang, S.-Y., and Lai, K.K., (2009). Why does energy intensity fluctuate in China?. Energy Policy, 37(12), 5717–5731.
3
Collado, R. M., and Colinet, M. J. (2018). Is energy efficiency a driver or an inhibitor of energy consumption changes in Spain? Two decomposition approaches. Energy Policy, 115, 409–417.
4
Dietzenbacher, E., Los, B. (1998). Structural decomposition techniques: sense and sensitivity. Economic System Research, 10(4), 307-323.
5
Guevara, Z., and Rodrigues, F.D. (2016). Structural transitions and energy use: a decomposition analysis of Portugal 1995–2010. Economic System Research, 28, 202–223.
6
Henriques, S.T. (2011). Energy Transitions, Economic Growth and Structural Change: Portugal in a Long-Run Comparative Perspective. Lund Studies in Economic History. Vol. 54.
7
Jahangard, E., and Rashidizadeh, M. (2011). Analysis of Energy Intensity Change in Iranian Economic sectors with SDA Approach. Journal of Applied Economics, 2(3), 67-91. (In Persian)
8
Jahangard, E., Golshani, V., Milani, A., and Ghafarzadeh, H. (2017). Energy Consumption Analysis in Iran (A Static Comparative Analysis with the SDA Approach). Journal of Applied Economics, 7(20), 1-20. (In Persian)
9
Kagawa, S. and Inamura, H. (2001). A structural decomposition of energy consumption based on a hybrid rectangular input-output framework: Japan's case. Economic System Research, 13, 33-63.
10
Lan, J., Malik, A., Lenzen, M., Mcbain, D., and Kanemoto, K., (2016). A structural decomposition analysis of global energy footprints. Applied Energy, 163, 436–451.
11
Llop, M. (2017). Changes in energy output in a regional economy: A structural decomposition analysis. Energy, 128, 145-151.
12
Miller, R.E., and Blair, P.D. (2009). Input–Output Analysis: Foundations and Extensions. second ed. Cambridge University Press, Cambridge.
13
Reddy, B. S., and Ray, B. K. (2010). Decomposition of energy consumption and energy intensity in Indian manufacturing industries. Energy for Sustainable Development, 14, 35–47.
14
Sharify N. and Banihashemi T. (2013). Factors Affecting Energy Consumption in Households in Iran. MSc dissertation, Faculty of Administrative Sciences and Economics, University of Mazandaran.
15
Sharify, N. and Hosseinzadeh, R. (2015). Sources of Change in Energy Consumption in Iran: A Structural Decomposition Analysis. Iranian economic review, 19(3), 325-339.
16
Sheinbaum-Pardo, C., Mora-Pérez, S., and Robles-Morales, G., (2012). Decomposition of energy consumption and CO2 emissions in Mexican manufacturing industries: Trends between 1990 and 2008. Energy for Sustainable Development, 16, 57–67.
17
Su, B., and Ang, B.W. (2015). Multiplicative decomposition of aggregate carbon intensity change using input–output analysis. Applied Energy, 154, 13–20.
18
Su, B., and Ang, B. W. (2012). Structural decomposition analysis applied to energy and emissions: Some methodological developments. Energy Economics, 34, 177–188.
19
Su, B., and Ang, B. W. (2017). Multiplicative structural decomposition analysis of aggregate embodied energy and emission intensities. Energy Economics, 65, 137–147.
20
Supasa, Th., Hsiau, S. S., Lin, S. M., Wongsapai, W., Chang, K. F., and Wu, J. J. (2017). Sustainable energy and CO2 reduction policy in Thailand: An input–output approach from production- and consumption-based perspectives. Energy for Sustainable Development, 41, 36–48.
21
Wang, H., Ang, B.W., and Su, B., (2017). Assessing drivers of economy-wide energy use and emissions: IDA versus SDA. Energy Policy, 107, 585–599.
22
Xie, S.C., (2014). The driving forces of China's energy use from 1992 to 2010: An empirical study of input–output and structural decomposition analysis. Energy Policy, 73, 401–415.
23
Zhao, N., Xu, L., Malik, A., Song, X., and Wang, Y. (2018). Inter-provincial trade driving energy consumption in China. Resources, Conservation & Recycling, 134, 329–335.
24
ORIGINAL_ARTICLE
A New Conceptual Model for Quantitative Fire Risk Assessment of Oil Storage Tanks in the Tehran Refinery, Iran
The purpose of this research was to introduce and describe a model for Fire Quantitative Risk Assessment of in petroleum Storage Tanks. A novel model was designed to determine the risk of a fire occurrence using of Loss Causation and Swiss cheese models. Then, based on FTA, model and its integration with our initial proposed model, the final model was obtained for fire hazard determination in hydrocarbon tanks. The risk level of the hazard was identified using the energy trace and barrier analysis (ETBA). The quantitative fire risk assessment in the tank were carried out in accordance to the International Association of Oil & Gas Producers (IOGP) guideline. Base on the results, 22 risks were identified which 4 of them were unacceptable risks and corrective action was proposed for them. This method is commonly used in conjunction with the safety analysis of the system. This technique was the final part of this research.
https://www.eeer.ir/article_107201_6ff16b6779e4911ac9876f3abfb387a7.pdf
2020-08-01
241
249
10.22097/eeer.2020.176948.1074
Risk Assessment
Oil storage tanks
FTA
ETBA
Loss causation model
Mohsen
Saeidi Keshavarz
saeidikeshavarz.mohsen@gmail.com
1
West Tehran Branch, Islamic Azad University, Tehran, Iran
AUTHOR
Fatemeh
Razavian
razavian.fatemeh@wtiau.ac.ir
2
West Tehran Branch, Islamic Azad University, Tehran, Iran
AUTHOR
Soroush
Namjoufar
safetyofficer7@gmail.com
3
West Tehran Branch, Islamic Azad University, Tehran, Iran
AUTHOR
Mohammad Ali
Zahed
zahed51@yahoo.com
4
Faculty of Biological Sciences, Kharazmi University, Tehran, Iran
LEAD_AUTHOR
Abul-Haggag, O.Y., Barakat, W. (2013). Application of Fuzzy Logic for Risk Assessment using Risk Matrix. International Journal of Emerging Technology and Advanced Engineering, 3(1).
1
Ahmadi, O., Mortazavi, S. B., Pasdarshahri, H., and Mohabadi, H. A. (2019). Consequence analysis of large-scale pool fire in oil storage terminal based on computational fluid dynamic (CFD). Process Safety and Environmental Protection, 123, 379-389.
2
Amyotte, P.R., and Oehmen, A.M. (2002). Application of a Loss Causation Model to the Westray Mine Explosion. Process Safety and Environmental Protection, 80(1), 55-59.
3
Bird, F. E., and Germain, G. L. (1996). Practical loss control leadership. Georgia: Det Norske Veritas (USA).
4
Cheliyan, A.S., Bhattacharyya, S.K. (2018). Fuzzy fault tree analysis of oil and gas leakage in subsea production systems. Journal of Ocean Engineering and Science, 1-11.
5
Dadashzadeh, M., Kashkarov, S., Makarov, D and Molkov, V. (2018). Risk assessment methodology for onboard hydrogen storage. International Journal of Hydrogen Energy, 43, 6462 – 6475.
6
Fu, S., Yan, X., Zhang, D., Li, C. and Zio, E. (2016). Framework for the quantitative assessment of the risk of leakage from LNG-fueled vessels by an event tree-CFD. Journal of Loss Prevention in the Process Industries, 43, 42 -52.
7
Ibrahim, H. A., and Syed, H. S. (2018). Hazard Analysis of Crude Oil Storage Tank Farm. International Journal of Chem Tech Research (pp. 300-308).
8
Jafari, M. J., Zarei, M., and Movahhedi, M. (2012). The Credit of Fire and Explosion Index for Risk Assessment of Iso-Max Unit in an Oil Refinery. International Journal of Occupational Hygiene, 4, 10-16.
9
Jensen, N. (2007). Modifying the Dow Fire & Explosion Index for Use in Assessing Hazard and Risk of Experimental Setups in Research Laboratories. 12th International Symposium on Loss Prevention and Safety Promotion in the Process Industries" - Edinburgh, Scotland, United Kingdom.
10
Mohammadfam, I, .Mahmoudi, S., and Kianfar, A. (2012). Comparative safety assessment of chlorination unit in Tehran treatment plants with HAZOP & ETBA techniques. Procedia Engineering 45, 27–30.
11
Moshashaei, P. and Alizadeh, S. (2016). Fire Risk Assessment: A Systematic Review of the Methodology and Functional Areas. Iranian Journal of Health, Safety & Environment, 4(1), 654-669.
12
Pramanathan, S. S., Tauseef, S. M., Kumar, D., and Mohanty, P. N. K. (2018). Quantitative Assessment of Risk Caused by Domino Accidents in Chemical Process Industries. In Advances in Fire and Process Safety (pp. 45-55). Springer, Singapore.
13
Reason, J. (1990). Human error. Cambridge: Cambridge University Press.
14
Russoa, P., De Marcoa, A., Mazzarob, M. and Capobianco, L. (2018). Quantitative Risk Assessment on a Hydrogen Refuelling Station. Chemical Engineering Transactions, 67, 739-744.
15
Šakėnaitė, J. (2010). A Comparison of Methods Used for Fire Safety Evaluation. Mokslas – Lietuvos Ateitis, 2(6).
16
Shapiro, A. F & Koissi, M. C. (2015). Risk Assessment Applications of Fuzzy Logic. Casualty Actuarial Society, Canadian Institute of Actuaries, Society of Actuaries.
17
Suhaimi, N. S. and Mustapha, S. (2016). A Review of Fire Risk Assessment Tools in Compartment. ARPN Journal of Engineering and Applied Sciences, 11(11), 7284-7287.
18
Tauseef, S. M., Abbasi, T., Pompapathi, V., and Abbasi, S. A. (2018). Case studies of 28 major accidents of fires/explosions in storage tank farms in the backdrop of available codes/standards/models for safely configuring such tank farms. Process Safety and Environmental Protection, 120, 331-338.
19
Török, Z., Petrescu-Mag, R. M., Mereuță, A., Maloș, C. V., Arghiuș, V. I., and Ozunu, A. (2019). Analysis of territorial compatibility for Seveso-type sites using different risk assessment methods and GIS technique. Land Use Policy.
20
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