ORIGINAL_ARTICLE
Lean at home: applying RCA techniques to home projects
Root cause analysis techniques are often applied to problems in the workplace; however, they may also prove very useful when applied to home projects. This research explores the application of root cause analysis techniques in three home projects: (1) Cause-and-Effect diagram to remove Palmetto bugs in a condo dwelling, (2) Five Whys method to repair a sunroof water leak in a car, and (3) Fault Tree Analysis to repair a Toro string trimmer that starts, then dies. The effective use of root cause analysis techniques can have a meaningful impact on resolving home project issues resulting in a restoration of homeowner issues as well as reduced homeowner anxiety, repair time, and repair cost.
https://www.journal-aprie.com/article_128413_80419ddd10df96c437529d00a63249fd.pdf
2021-06-01
104
115
10.22105/jarie.2021.263716.1234
Cause-and-Effect diagram
Fault Tree Analysis
Palmetto bugs
Toro string trimmer
Robert
Keyser
rkeyser@kennesaw.edu
1
Department of Industrial and Systems Engineering, Kennesaw State University, Marietta, Georgia, USA.
LEAD_AUTHOR
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[2] Ishikawa, K., & Ishikawa, K. A. (1985). What is total quality control? The Japanese way. Prentice Hall.
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[4] Furterer, S. L. (2014). Lean six sigma case studies in the healthcare enterprise. Spriner. DOI: 10.1007/978-1-4471-5583-6
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[5] Zhu, L. F., Qian, W. Y., Zhou, G., Yang, M., Lin, J. J., Jin, J. L., ... & Chen, H. X. (2020). Applying lean six sigma to reduce the incidence of unplanned surgery cancellation at a large comprehensive tertiary hospital in China. INQUIRY: the journal of health care organization, provision, and financing, 57, 1-9.
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[6] Smith, G., Poteat-Godwin, A., Harrison, L. M., & Randolph, G. D. (2012). Applying Lean principles and Kaizen rapid improvement events in public health practice. Journal of public health management and practice, 18(1), 52-54. DOI: 10.1097/PHH.0b013e31823f57c0
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[7] Morales-Contreras, M. F., Chana-Valero, P., Suárez-Barraza, M. F., Saldaña Díaz, A., & García García, E. (2020). Applying lean in process innovation in healthcare: the case of Hip fracture. International journal of environmental research and public health, 17(15), 5273. https://doi.org/10.3390/ijerph17155273
7
[8] Eller, A. (2009). Rapid assessment and disposition: applying LEAN in the emergency department. Journal for healthcare quality, 31(3), 17-22.
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[9] Bullard, W. (2016). Applying lean methods in real world projects. PM world journal, 5(10), 1-12.
9
[10] Parris, A. (2019). Making work and the world a better place. ISE magazine, 51(4), 28-33.
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[11] Keyser, R. S., Marella, V. K., & Clay, K. (2017). Lean restaurants: Improving the dining experience. Journal of higher education theory and practice, 17(7), 67-79.
11
[12] Keyser, R. S. (2019). Lean in education: mistake-proofing methods used by teachers at a magnet high school. Journal of management & engineering integration, 12(1), 49-58.
12
[13] Otitigbe, J. (2017). Fishbone facilitation reflection. ISE magazine, 49(07), 48-51.
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[14] Giol, E. (2019). The cause-effect diagram in music. Bulletin of the transilvania university of braşov, series VIII: performing arts, 12(2-Suppl), 101-106. DOI: 10.31926/but.pa.2019.12.61.33
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[15] Root, J., & Small, L. (2019). Improving asthma control in children using the teach-to-goal method. Pediatric nursing, 45(5), 250-257.
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[16] Munro, C. L., & Savel, R. H. (2017). Critical care is guided by why. American journal of critical care, 26(5), 357-358.
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[17] Moaveni, S., & Chou, K. (2017). Using the five whys’ methods in the classroom: how to turn students into problem solvers. Journal of STEM education, 17(4), 35-41.
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[18] Westervelt, K. (2004, March). Root cause analysis of bit false alarms. 2004 IEEE aerospace conference proceedings (IEEE Cat. No. 04TH8720) (Vol. 6, pp. 3782-3790). IEEE. DOI: 10.1109/AERO.2004.1368196
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[19] Keyser, R. S., & Jordan, L. A. (2020). Addressing corrugated board warp with a 23-factorial design. Journal of management & engineering integration, 13(1), 20-31.
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[20] Parker, J. (2017). The root of the matter: performing root-cause analysis requires that auditors recognize common myths associated with the process. Internal auditor, 74(4), 53-59.
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[21] Morelli, P., Porazzi, E., Ruspini, M., Restelli, U., & Banfi, G. (2013). Analysis of errors in histology by root cause analysis: a pilot study. Journal of preventive medicine and hygiene, 54(2), 90-96.
21
[22] Al-Zwainy, F. M., & Mezher, R. A. (2018). Diagnose the causes of cost deviation in highway construction projects by using root cause analysis techniques. Arabian journal for science and engineering, 43(4), 2001-2012. https://doi.org/10.1007/s13369-017-2850-2
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[23] Singh, J., Singh, H., Gandhi, S. K., & Chhibber, Y. S. (2017). Assessment of failure mode effect analysis in manufacturing unit: a case study. IUP journal of operations management, 16(4), 7-24.
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[24] Aized, T., Ahmad, M., Jamal, M. H., Mahmood, A., Ubaid ur Rehman, S., & Srai, J. S. (2020). Automotive leaf spring design and manufacturing process improvement using failure mode and effects analysis (FMEA). International journal of engineering business management, 12, 1-13. https://doi.org/10.1177/1847979020942438
24
[25] Ashley, L., Armitage, G., & Taylor, J. (2017). Recognising and referring children exposed to domestic abuse: a multi‐professional, proactive systems‐based evaluation using a modified Failure Mode and Effects Analysis (FMEA). Health & social care in the community, 25(2), 690-699. https://doi.org/10.1111/hsc.12359
25
[26] Frewen, H., Brown, E., Jenkins, M., & O'Donovan, A. (2018). Failure mode and effects analysis in a paperless radiotherapy department. Journal of medical imaging and radiation oncology, 62(5), 707-715. https://doi.org/10.1111/1754-9485.12762
26
[27] Rosen, M. A., Lee, B. H., Sampson, J. B., Koka, R., Chima, A. M., Ogbuagu, O. U., ... & Jackson Jr, E. V. (2014). Failure mode and effects analysis applied to the maintenance and repair of anesthetic equipment in an austere medical environment. International journal for quality in health care, 26(4), 404-410. https://doi.org/10.1093/intqhc/mzu053
27
[28] Tamene, M., Morris, A., Feinberg, E., & Bair-Merritt, M. H. (2020). Using the quality improvement (QI) tool Failure Modes and Effects Analysis (FMEA) to examine implementation barriers to common workflows in integrated pediatric care. Clinical practice in pediatric psychology, 8(3), 257-267. https://doi.org/10.1037/cpp0000365
28
[29] Eugene Fibuch, M. D., & Arif Ahmed, B. D. S. (2014). The role of failure mode and effects analysis in health care. Physician executive, 40(4), 28-32.
29
[30] Tay, K. M., Jong, C. H., & Lim, C. P. (2015). A clustering-based failure mode and effect analysis model and its application to the edible bird nest industry. Neural computing and applications, 26(3), 551-560. https://doi.org/10.1007/s00521-014-1647-4
30
[31] Madenas, N., Tiwari, A., Turner, C. J., Peachey, S., & Broome, S. (2016). Improving root cause analysis through the integration of PLM systems with cross supply chain maintenance data. The international journal of advanced manufacturing technology, 84(5-8), 1679-1695. https://doi.org/10.1007/s00170-015-7747-1
31
[32] Luo, Y., Cao, Y., & Mu, X. (2013). Fault tree analysis using in the land transport of hazardous chemicals. Advances in transportation studies, 32, 95-102.
32
[33] Zhou, K., Huang, G., Wang, S., & Fang, K. (2020, February). Research on transportation safety of hazardous chemicals based on Fault Tree Analysis (FTA). 2020 9th international conference on industrial technology and management (ICITM) (pp. 206-209). IEEE. DOI: 10.1109/ICITM48982.2020.9080360
33
[34] Jetter, J. J., Forte, Jr, R., & Rubenstein, R. (2001). Fault tree analysis for exposure to refrigerants used for automotive air conditioning in the United States. Risk analysis, 21(1), 157-171. https://doi.org/10.1111/0272-4332.211098
34
[35] Hu, D., Sun, Y., Fu, J., Li, J., & Zhang, E. (2014, September). Mud Pump System Fault Tree Analysis. 2014 fourth international conference on instrumentation and measurement, computer, communication and control (pp. 756-759). IEEE. DOI: 10.1109/IMCCC.2014.160
35
[36] Chen, Y., Zhen, Z., Yu, H., & Xu, J. (2017). Application of fault tree analysis and fuzzy neural networks to fault diagnosis in the internet of things (IoT) for aquaculture. Sensors, 17(1), 153. https://doi.org/10.3390/s17010153
36
[37] Taheriyoun, M., & Moradinejad, S. (2015). Reliability analysis of a wastewater treatment plant using fault tree analysis and Monte Carlo simulation. Environmental monitoring and assessment, 187(1), 1-13. https://doi.org/10.1007/s10661-014-4186-7
37
ORIGINAL_ARTICLE
Stochastic cost modeling for second-hand products' optimum warranty period and upgrade level
After the second-hand products return to the second-hand markets, either goods, parts, or materials are reused or disposed. For optimum sales, these products are under the process of determining the optimal warranty period and warranty policy, so that both the seller's profit and the consumer's profit are met. Therefore, estimating the warranty costs for future claims on second-hand products is very necessary. In this paper, a hybrid stochastic model is presented to improve the reliability of second-hand products under the free repair replacement warranty policy to determine the level of upgrade, with the aim of reducing warranty costs. Using the upgrade actions, the model, based on three approaches, minimal-perfect repair, virtual age, and improvement factor, is developed for estimating the warranty costs of second-hand products. The contribution of this research is the application of three upgrade approaches in the warranty cost model simultaneously to estimate the warranty costs and optimum upgrade level more realistic. Finally, under different product lifetime, a numerical example and sensitivity analysis are provided. Evaluation is presented in four lifetimes for second-hand products ranging from one to four years for which the optimum upgrade level and the warranty period are determined. The results show that the higher the level of second-hand product upgrades to a certain extent, the higher the savings, but the more upgrades are not cost-effective for second-hand products.
https://www.journal-aprie.com/article_128411_809671b1be0290322133d14bf2610d5e.pdf
2021-06-01
116
128
10.22105/jarie.2021.254706.1205
Warranty
Second-hand product
Warranty costs
Stochastic modeling
Upgrade
Maryam
Dehghanbaghi
dehghanbaghi@yahoo.com
1
Department of Industrial Engineering, Robat karim Branch, Islamic Azad University, Tehran Iran.
LEAD_AUTHOR
Azadeh
Dabbaghi
azadehdabbaghi@yahoo.com
2
Research Institute of Petroleum Industry, Tehran, Iran.
AUTHOR
[1] Santos, A. C., Cavalcante, C. A., & Ribeiro, L. F. (2021). The use of second-hand items based on delay time modelling. Process safety and environmental protection, 146, 118-125. https://doi.org/10.1016/j.psep.2020.08.041
1
[2] Lim, J. H., Kim, D. K., & Park, D. H. (2020, August). Optimal post-warranty maintenance strategy for the second-hand product. 2020 Asia-pacific international symposium on advanced reliability and maintenance modeling (APARM) (pp. 1-6). IEEE.DOI: 10.1109/APARM49247.2020.9209487
2
[3] Park, M., Jung, K. M., & Park, D. H. (2020). Warranty cost analysis for second-hand products under a two-stage repair-or-full refund policy. Reliability engineering & system safety, 193, 106596. https://doi.org/10.1016/j.ress.2019.106596
3
[4] Filscha, N., Meilily, A., & Hendy, T. (2019). Total productive maintenance policy to increase effectiveness and maintenance performance using overall equipment effectiveness. Journal of applied research on industrial engineering, 6(3), 184-199.
4
[5] Karevan, A., & Vasili, M. (2018). Sustainable reliability centered maintenance optimization considering risk attitude. Journal of applied research on industrial engineering, 5(3), 205-222.
5
[6] Manavizadeh, N., & Azizi Javan, E. (2014). A new approach in joint optimization of maintenance planning, process quality and production scheduling. International journal of research in industrial engineering, 3(2), 24-32.
6
[7] Murthy, D. N. P., & Chattopadhyay, G. (1999). Warranties for second-hand products. Flexible automation and intelligent manufacturing, 47(1), 1145–1159.
7
[8] Chattopadhyay, G., & Murthy, D. N. P. (2001). Cost sharing warranty policies for second‐hand products. International transactions in operational research, 8(1), 47-60. https://doi.org/10.1111/1475-3995.00005
8
[9] Chattopadhyay, G., & Murthy, D. N. P. (2004). Optimal reliability improvement for used items sold with warranty. International journal of reliability and applications, 5(2), 47-57.
9
[10] Shafiee, M., Saidi-Mehrabad, M., & Naini, S. G. J. (2009). Warranty and sustainable improvement of used products through remanufacturing. International journal of product lifecycle management, 4(1-3), 68-83. https://doi.org/10.1504/IJPLM.2009.031667
10
[11] Yu, J., & Peng, Y. X. (2009, October). Research on the impact of quality variations on the warranty cost of remanufactured-product under FRLW policy. 2009 16th international conference on industrial engineering and engineering management (pp. 1071-1074). IEEE.DOI: 10.1109/ICIEEM.2009.5344361
11
[12] Saidi-Mehrabad, M., Noorossana, R., & Shafiee, M. (2010). Modeling and analysis of effective ways for improving the reliability of second-hand products sold with warranty. The international journal of advanced manufacturing technology, 46(1-4), 253-265.
12
[13] Aksezer, C. S. (2011). Failure analysis and warranty modeling of used cars. Engineering failure analysis, 18(6), 1520-1526. https://doi.org/10.1016/j.engfailanal.2011.05.009Get rights and content
13
[14] Chukova, S., & Shafiee, M. (2013). One‐dimensional warranty cost analysis for second‐hand items: an overview. International journal of quality & reliability management, 30(3), 239-255. https://doi.org/10.1108/02656711311299827
14
[15] Yazdian, S. A., Shahanaghi, K., & Makui, A. (2016). Joint optimisation of price, warranty and recovery planning in remanufacturing of used products under linear and non-linear demand, return and cost functions. International journal of systems science, 47(5), 1155-1175. https://doi.org/10.1080/00207721.2014.915355
15
[16] Lu, Z., & Shang, J. (2019). Warranty mechanism for pre-owned tech products: collaboration between E-tailers and online warranty provider. International journal of production economics, 211, 119-131. https://doi.org/10.1016/j.ijpe.2019.01.028
16
[17] Lim, J. H., Kim, D. K., & Park, D. H. (2019). Maintenance optimization for second‐hand products following periodic imperfect preventive maintenance warranty period. Applied stochastic models in business and industry, 35(4), 1077-1089. https://doi.org/10.1002/asmb.2450
17
[18] Kim, C. S., Djamaludin, I., & Murthy, D. N. P. (2004). Warranty and discrete preventive maintenance. Reliability engineering & system safety, 84(3), 301-309. https://doi.org/10.1016/j.ress.2003.12.001
18
[19] Pongpech, J., & Murthy, D. N. P. (2006). Optimal periodic preventive maintenance policy for leased equipment. Reliability engineering & system safety, 91(7), 772-777. https://doi.org/10.1016/j.ress.2005.07.005
19
[20] Hussain, A. Z. M. O., & Murthy, D. N. P. (2003). Warranty and optimal reliability improvement through product development. Mathematical and computer modelling, 38(11-13), 1211-1217. https://doi.org/10.1016/S0895-7177(03)90122-1
20
[21] Shafiee, M., Chukova, S., Saidi-Mehrabad, M., & Akhavan Niaki, S. T. (2011). Two-dimensional warranty cost analysis for second-hand products. Communications in statistics-theory and methods, 40(4), 684-701. https://doi.org/10.1080/03610920903453442
21
[22] Shafiee, M., Chukova, S., Yun, W. Y., & Niaki, S. T. A. (2011). On the investment in a reliability improvement program for warranted second-hand items. IIE transactions, 43(7), 525-534. https://doi.org/10.1080/0740817X.2010.540638
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[23] Shafiee, M., Saidi-Mehrabad, M., & Asgharizadeh, E. (2010). Developing a trade-off between upgrade action time and warranty length for second-hand electrical components. International journal of product development, 12(3-4), 336-351. https://doi.org/10.1504/IJPD.2010.036395
23
[24] Shafiee, M., & Chukova, S. (2013). Optimal upgrade strategy, warranty policy and sale price for second‐hand products. Applied stochastic models in business and industry, 29(2), 157-169. https://doi.org/10.1002/asmb.1908
24
[25] Soltani Neshan, M., & Asgharizadeh, E. (2014). The effect of reliability improvement actions and providing warranty policy type LIC and FRW/LSW on price range of used devices. European online journal of natural and social sciences, 2(3 (s)), 1530-1539.
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[26] Darghouth, M. N., Chelbi, A., & Ait-Kadi, D. (2015). On reliability improvement of second-hand products. IFAC-Papers online, 48(3), 2158-2163. https://doi.org/10.1016/j.ifacol.2015.06.408
26
[27] Su, C., & Wang, X. (2016). Optimal upgrade policy for used products sold with two‐dimensional warranty. Quality and reliability engineering international, 32(8), 2889-2899. https://doi.org/10.1002/qre.1973
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[28] Wang, Y., Liu, Y., Liu, Z., & Li, X. (2017). On reliability improvement program for second-hand products sold with a two-dimensional warranty. Reliability engineering & system safety, 167, 452-463. https://doi.org/10.1016/j.ress.2017.06.029
28
[29] Zhang, N., Fouladirad, M., & Barros, A. (2018). Warranty analysis of a two-component system with type I stochastic dependence. Proceedings of the institution of mechanical engineers, part o: journal of risk and reliability, 232(3), 274-283. https://doi.org/10.1177/1748006X17742775
29
[30] Wang, X., Xie, M., & Li, L. (2019). On optimal upgrade strategy for second-hand multi-component systems sold with warranty. International journal of production research, 57(3), 847-864. https://doi.org/10.1080/00207543.2018.1488087
30
[31] Shafiee, M., Finkelstein, M., & Chukova, S. (2011). On optimal upgrade level for used products under given cost structures. Reliability engineering & system safety, 96(2), 286-291. https://doi.org/10.1016/j.ress.2010.07.008
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[35] Hussain, A. Z. M. O., & Murthy, D. N. P. (2000). Warranty and optimal redundancy with uncertain quality. Mathematical and computer modelling, 31(10-12), 175-182. https://doi.org/10.1016/S0895-7177(00)00085-6
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36
ORIGINAL_ARTICLE
Proposing an integrated model for evaluation of green and resilient suppliers by path analysis, SWARA and TOPSIS
The main purpose of this paper is to identify the traditional, green and effective resilience criteria in the performance of green and resilient suppliers and their ranking with path analysis, SWARA and TOPSIS combined approach in Fanavaran Petrochemical Company. The research method is applied in terms of goal and descriptive-survey in terms of data collection. By a comprehensive review of the literature, first a set of key performance criteria and sub-criteria (traditional, green, and resilience) were extracted. Then, using the path analysis approach, the effectiveness of these criteria was evaluated in Fanavaran Petrochemical Company. The statistical population included 55 experts of the mentioned company, which due to the limited size of the population, all members were considered as the research sample. The path analysis result showed that all identified criteria affect the company’s supplier’s performance. Then, using new SWARA decision-making technique and also the opinions of 30 experts, the criteria and sub-criteria were evaluated and their weight (importance) was extracted. In the final evaluation of the main criteria, the criterion of “resilience” was in the first rank, the criterion of “green” in the second rank and the criterion of “traditional” in the last rank. Subsequently, due to the sensitivity of the ranking of green and resilient suppliers in the company, using the TOPSIS decision-making technique and based on the extractive weight of the criteria, seven suppliers of the company were evaluated by the experts and the final ranking of the suppliers in terms of performance was determined. Thus, the proposed approach of this research provides a valuable conceptual framework for company’ managers to improve the situation of the suppliers in terms of the environmental issues and resilience. Also, the development and improvement of traditional criteria and selection of suppliers of the company based on green standards and resilience were the main goals of this research.
https://www.journal-aprie.com/article_122946_3a93fdea141a3b33ad083acec1aca7b1.pdf
2021-06-01
129
149
10.22105/jarie.2021.256316.1206
performance
Green and Resilient Suppliers
path analysis
SWARA
TOPSIS
Ali
Mansory
mansory.ali@znu.ac.ir
1
Department of Management, University of Zanjan, Zanjan, Iran.
LEAD_AUTHOR
Abbas
Nasiri
abbas.nasiri@gmail.com
2
Department of Management, University of Zanjan, Zanjan, Iran.
AUTHOR
Nabiollah
Mohammadi
nabi_mohammadi@yahoo.com
3
Department of Management, University of Zanjan, Zanjan, Iran.
AUTHOR
1] Asgharizadeh, E., & Ajalli, M. (2016).Identification and ranking the key dimensions of lean manufacturing using
1
new approach in gas industry. Proceedings of international conference on science, technology, humanities and business management (pp. 29-30). Bangkok. Retrieved from https://socrd.org/wp-content/uploads/2016/08/7BKK141-Identification-and-Ranking-the-Key-Dimensions-of-Lean-Manufacturing-using-NEW-Approach-in-GasIndustry.pdf
2
[2] Ajalli, M., Mozaffari, M. M., & Salahshori, R. (2019). Ranking the suppliers using a Combined SWARA-FVIKOR
3
approach. International journal of supply chain management, 8(1), 907.
4
[3] Akman, G. (2015). Evaluating suppliers to include green supplier development programs via fuzzy c-means and VIKOR methods. Computers and industrial engineering, 86, 69-82. https://doi.org/10.1016/j.cie.2014.10.013
5
[4] Amani, M., Ashrafi, A., & Dehghanan, H. (2017). Assessing the barriers to green supply chain adoption using
6
fuzzy DEMATEL technique. IT management studies, 5(19), 147-179.
7
[5] Maulidina, A. D., & Putra, F. E. (2018). Selection of tugboat gearbox supplier using the analytical hierarchy
8
process method. Journal of applied research on industrial engineering, 5(3), 253-262.148
9
[6] Tirkolaee, E. B., Mardani, A., Dashtian, Z., Soltani, M., & Weber, G. W. (2020). A novel hybrid
10
method using fuzzy decision making and multi-objective programming for sustainable-reliable
11
supplier selection in two-echelon supply chain design. Journal of cleaner production, 250, 119517.
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https://doi.org/10.1016/j.jclepro.2019.119517
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[7] Blackhurst, J., Craighead, C. W., Elkins, D., & Handfield, R. B. (2005). An empirically derived
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agenda of critical research issues for managing supply-chain disruptions. International journal of
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production research, 43(19), 4067-4081. https://doi.org/10.1080/00207540500151549
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[8] Carvalho, H., Barroso, A. P., Machado, V. H., Azevedo, S., & Cruz-Machado, V. (2012). Supply chain
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redesign for resilience using simulation. Computers and industrial engineering, 62(1), 329-341.
18
https://doi.org/10.1016/j.cie.2011.10.003
19
[9] Davari, A., & Rezazadeh, A. (2013). Structural equation modeling with PLS. Jahad University. (In
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Persian). https://www.researchgate.net/profile/ArashRezazadeh/publication/264519454_Structural_Equation_Modeling_with_PLS /links/53e236d80cf2d79877aa19f1/Structural-Equation-Modeling-with-PLS.pdf
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[10] Dickson, G. W. (1966). An analysis of vendor selection systems and decisions. Journal of
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purchasing, 2(1), 5-17. https://doi.org/10.1111/j.1745-493X.1966.tb00818.x
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[11] Feng, T., Sun, L., & Zhang, Y. (2010). The effects of customer and supplier involvement on
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competitive advantage: An empirical study in China. Industrial marketing management, 39(8), 1384-
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https://doi.org/10.1016/j.indmarman.2010.04.006
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[12] Gandhi, S., Mangla, S. K., Kumar, P., & Kumar, D. (2015). Evaluating factors in implementation of
27
successful green supply chain management using DEMATEL: A case study. International strategic
28
management review, 3(1-2), 96-109. https://doi.org/10.1016/j.ism.2015.05.001
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[13] Govindan, K., Rajendran, S., Sarkis, J., & Murugesan, P. (2015). Multi criteria decision making
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approaches for green supplier evaluation and selection: a literature review. Journal of cleaner
31
production, 98, 66-83. https://doi.org/10.1016/j.jclepro.2013.06.046
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[14] Govindan, K., & Sivakumar, R. (2016). Green supplier selection and order allocation in a low-carbon
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paper industry: integrated multi-criteria heterogeneous decision-making and multi-objective linear
34
programming approaches. Annals of operations research, 238(1-2), 243-276.
35
https://doi.org/10.1007/s10479-015-2004-4
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[15] Ha, S. H., & Krishnan, R. (2008). A hybrid approach to supplier selection for the maintenance of a
37
competitive supply chain. Expert systems with applications, 34(2), 1303-1311.
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https://doi.org/10.1016/j.eswa.2006.12.008
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[16] Haldar, A., Ray, A., Banerjee, D., & Ghosh, S. (2014). Resilient supplier selection under a fuzzy
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environment. International journal of management science and engineering management, 9(2), 147-156.
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116
ORIGINAL_ARTICLE
Optimization of safety audit planning: a case study of process plant in India
Safety audit is a system for evaluating the adherence of an occupational safety and health plan to fulfill statutory requirements with prior planning. Safety audit planning is the predetermining activity of what, how, where, when and by whom the audit will be carried out to achieve its objective. Safety audit planning is a complex process and an anticipatory function which will provide audit activity on time with the least audit risk and cost by assigning the auditors with the required ability and skill level to the activities to be audited. In general, the safety audit planning is based on the professional judgment of a lead auditor by considering the qualitative characteristics of the auditors. However, the audit planning is possible by framing a mathematical model with an assumption that the auditors possess similar characteristics. The objective of the study is to optimize the safety audit planning by allocating auditors to activities using a linear programming model so as to minimize the audit cost; which is not possible with statistical tools. The study was conducted in an integrated cement plant located in India and the results of the study show that the number of hours and the activity of the auditors was specified with a minimum cost. Similar studies can be conducted to optimize time and cost of safety audit for industrial units involving more number of activities with large batch size of auditors by planning the audit process in advance.
https://www.journal-aprie.com/article_127617_75352aff196f7fe0cd05ab116cd43faa.pdf
2021-06-01
150
158
10.22105/jarie.2021.259247.1213
Occupational safety and health (OSH)
Safety audit
Auditors. Linear programming
S. V. S.
Raja Prasad
rajaprasad@nicmar.ac.in
1
National Institute of Construction Management and Research, Shamirpet, Hyderabad, Telangana, India.
LEAD_AUTHOR
Keng, T. C., & Razak, N. A. (2014). Case studies on the safety management at construction site. Journal of sustainability science and management, 9(2), 90-108.
1
Almeida, C. L., & Nunes, A. B. D. A. (2014). Proposed indicators for performance evaluation of environmental management system and occupational health and safety management systems of a consulting engineering company. Gestão & produção, 21(4), 810-820.
2
Vitharana, H., De Silva, S., & De Silva, S. (2015). Health hazards, risk and safety practices in construction sites-a review study. Journal of the institution of engineers, 8(3), 35-44. DOI: 4038/engineer.v48i3.6840
3
Sivaprakash, P., & Elangovan, R. K. (2013). A study on safety audit system in Indian engineering industries. Life science journal, 10(9), 236-240.
4
Pulickal, S. S., Blessy, B., & Reddy, P. (2016). A study on safety audit management system in Kuwait. International journal of science and research (IJSR), 5(4), 526-530. https://www.ijsr.net/get_abstract.php?paper_id=NOV162603
5
Blewett, V., & O’Keeffe, V. (2011). Weighing the pig never made it heavier: auditing OHS, social auditing as verification of process in Australia. Safety science, 49(7), 1014-1021. https://doi.org/10.1016/j.ssci.2010.12.010
6
Hale, A., & Borys, D. (2013). Working to rule, or working safely? part 1: a state-of-the-art review. Safety science, 55, 207-221. https://doi.org/10.1016/j.ssci.2012.05.011
7
Robson, L. S., Macdonald, S., Gray, G. C., Van Eerd, D. L., & Bigelow, P. L. (2012). A descriptive study of the OHS management auditing methods used by public sector organizations conducting audits of workplaces: Implications for audit reliability and validity. Safety science, 50(2), 181-189. https://doi.org/10.1016/j.ssci.2011.08.006
8
Mohammadfam, I., Kamalinia, M., Momeni, M., Golmohammadi, R., Hamidi, Y., & Soltanian, A. (2017). Evaluation of the quality of occupational health and safety management systems based on key performance indicators in certified organizations. Safety and health at work, 8(2), 156-161. https://doi.org/10.1016/j.shaw.2016.09.001
9
Ng, K., Laurlund, A., Howell, G., & Lancos, G. (2012). Lean safety: using leading indicators of safety incidents to improve construction safety. In Proceedings of the 20th annual conference of the international group for lean construction (pp. 1-11). San Diego, California, USA: Montezuma Publishing.
10
Nielsen, K. J., Rasmussen, K., Glasscock, D., & Spangenberg, S. (2008). Changes in safety climate and accidents at two identical manufacturing plants. Safety science, 46(3), 440-449. https://doi.org/10.1016/j.ssci.2007.05.009
11
Tepalagul, N., & Lin, L. (2015). Auditor independence and audit quality: a literature review. Journal of accounting, auditing & finance, 30(1), 101-121. https://doi.org/10.1177/0148558X14544505
12
Batalden, B. M., & Sydnes, A. K. (2015). Auditing in the maritime industry: A case study of the offshore support vessel segment. Safety science monitor, 19(1), 1–14.
13
American Chemical Society Committee on Chemical Safety (2000). Safety audit/ inspection manual. Washington, DC. http://users.uoi.gr/deapi/index.files/S_MANUAL/safety.pdf
14
Indian Standard 14489. (1998). Code of practice on OSH audit. Bureau of Indian Standards, New https://law.resource.org/pub/in/bis/S02/is.14489.1998.pdf
15
Sydnes, A. K., & Bjelle, S. (2019). Auditing industrial safety management: a case study. International journal of management, knowledge and learning, 8(1), 43-59. https://hdl.handle.net/10037/17185
16
Uyar, S., & Yelgen, E. (2015). The use of linear programming in audit task planning. Journal of accounting, finance and auditing studies, 1(3), 154-172. https://www.um.edu.mt/library/oar/handle/123456789/26005
17
Taha, H. A. (2011). Operations research: an introduction(Vol. 790). Upper Saddle River, NJ, USA: Pearson/Prentice Hall.
18
Yalçinsoy, A., Zincirkiran, M., & Tiftik, H. (2014). Approach of capacity planning through linear programming technique: a practice in textile enterprise. International journal of innovative research in management, 3(3), 16-29.
19
ORIGINAL_ARTICLE
Semi-obnoxious backup 2-median problem on a tree
In this paper, we discuss the obnoxious and semi-obnoxious version of the backup 2-median problem on a tree. In the obnoxious case of the 2-median problem, all vertices have negative weights, whereas in the semi-obnoxious model the vertices may have either positive or negative weights. In these two problems, we should find the location of two facility servers on the tree so that the sum of minimum weighted distances from vertices in the tree to the set of functioning servers is minimized. In the backup model, each facility server may probably fail. If a facility server fails, the remaining server should serve the clients. Vertex optimality is an important property for the 2-median problem. This property indicates that the set of vertices involves an optimal solution of the 2-median problem. We verify that the vertex optimality holds for the semi-obnoxious backup 2-median problem on a tree network. In the obnoxious 2-median problem, the set of leaves contains an optimal solution, we show that this property does not hold for the obnoxious backup 2-median problem.
https://www.journal-aprie.com/article_128410_4613885c9c58e67c717af70e6fa013ab.pdf
2021-06-01
159
168
10.22105/jarie.2021.235235.1173
2-median
backup
obnoxious
semi-obnoxious
positive and negative weight
Jafar
Fathali
fathali@shahroodut.ac.ir
1
Faculty of Mathematical Sciences, Shahrood University of Technology, Shahrood, Iran.
LEAD_AUTHOR
Morteza
Nazari
mnazari_ms65@yahoo.com
2
Faculty of Mathematical Sciences, Shahrood University of Technology, Shahrood, Iran.
AUTHOR
Kobra
Mahdvar
mahdevar_89@yahoo.com
3
Faculty of Mathematical Sciences, Shahrood University of Technology, Shahrood, Iran.
AUTHOR
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Fathali, J., & Taghizadeh Kakhki, H. (2006). Solving the p-median problem with pos/neg weights by variable neighborhood search and some results for special cases. European journal of operational research, 170(2), 440-462. https://doi.org/10.1016/j.ejor.2004.05.027
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Silva, S., Alçada-Almeida, L., & Dias, L. C. (2017). Multiobjective programming for sizing and locating biogas plants: a model and an application in a region of Portugal. Computers & operations research, 83, 189-198. https://doi.org/10.1016/j.cor.2017.02.016
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19
Benkoczi, R., Bhattacharya, B. K., & Breton, D. (2006). Efficient computation of 2-medians in a tree network with positive/negative weights. Discrete mathematics, 306(14), 1505-1516. https://doi.org/10.1016/j.disc.2005.11.031
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21
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22
Burkard, R. E., & Fathali, J. (2007). A polynomial method for the pos/neg weighted 3-median problem on a tree. Mathematical methods of operations research, 65(2), 229-238.
23
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31
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39
ORIGINAL_ARTICLE
A short survey on face recognition
Face Recognition has received a great deal of attention over the past few years and has become one of the most researched and spoken topics. It is a kind of automated biometric distinguishing approach that recognizes an individual based on their facial characteristics. The main aim of face reorganization is to implement the system for a particular face and distinguish it from a large number of stored faces with some real-time variations as well. Face recognition is in trend these days, the main reason being its efficiency and vast applications in day to day life. *Most* all the Telecom companies provide an option to unlock the phones by recognizing the face, which is a time saver and gives protection from theft as well. There are many more such applications of this technique that will be discussed in this paper along with the methods used for face recognition.
https://www.journal-aprie.com/article_126006_09c4008296d361201cda37f7a658d515.pdf
2021-06-01
169
175
10.22105/jarie.2021.266255.1239
Face recognition
Face Detection
Knowledge-based
Feature-invariant
template matching
Appearance-based
Vishakha
Arora
vishakha.arora37@gmail.com
1
Department of MCA, School of Computer Science and IT, Jain (deemed-to-be) University, Bengaluru, India.
LEAD_AUTHOR
Afnas
T
afnaston3@gmail.com
2
Department of MCA, School of Computer Science and IT, Jain (deemed-to-be) University, Bengaluru, India.
AUTHOR
Broumi, S., Dey, A., Talea, M., Bakali, A., Smarandache, F., Nagarajan, D., ... & Kumar, R. (2019). Shortest path problem using Bellman algorithm under neutrosophic environment. Complex and intelligent systems, 5(4), 409-416.
1
Kumar, R., Dey, A., Broumi, S., & Smarandache, F. (2020). A study of neutrosophic shortest path problem. In Neutrosophic graph theory and algorithms(pp. 148-179). IGI Global. DOI: 4018/978-1-7998-1313-2.ch006
2
Kumar, R., Edalatpanah, S. A., Jha, S., Broumi, S., Singh, R., & Dey, A. (2019). A multi objective programming approach to solve integer valued neutrosophic shortest path problems. Neutrosophic sets and systems, 24, 134-149.
3
Kumar, R., Edalatpanah, S. A., Jha, S., & Singh, R. (2019). A novel approach to solve gaussian valued neutrosophic shortest path problems. International journal of engineering and advanced technology, 8(3), 347-353.
4
Kumar, R., Edaltpanah, S. A., Jha, S., Broumi, S., & Dey, A. (2018). Neutrosophic shortest path problem. Infinite Study.
5
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ORIGINAL_ARTICLE
Layerwise finite element approach for the bending analysis of Bi-Directional functionally graded layered plates
In this paper, layerwise finite element analysis for the bending behavior of two-dimensional functionally graded layered plates with different boundary conditions is presented. The plates consist of three layers; a functionally graded layer embedded between ceramic and metal isotropic layers. The layerwise approach is based on the third-order shear deformation theory for the middle layer, while the first-order shear deformation theory is used for both the upper and lower isotropic layers. A quadrilateral 8-noded element with 13-degrees of freedom per node is used for this purpose. The present results show very good agreements with the published results for similar problems in literature solved by other methods of plates consist of either single or layered functionally graded plates.
https://www.journal-aprie.com/article_129908_11d5f3ec951450b8b769edb2c7997a1f.pdf
2021-06-01
176
194
10.22105/jarie.2021.275976.1269
Two-Dimensional Functionally Graded Materials
Bending
plates
Higher-Order
Layerwise
Finite Element
Laith
Mazahreh
laith_mazahreh@hotmail.com
1
Oil and Natural Gas Directorate, Ministry of Energy and Mineral Resources, Amman, Jordan. Department of Mechanical Engineering, Faculty of Engineering, University of Jordan, Amman, Jordan.
LEAD_AUTHOR
Ibrahim Mousa
Abu-Alshaikh
i.abualshaikh@ju.edu.jo
2
Department of Mechanical Engineering, University of Jordan, Amman-11942, Jordan.
AUTHOR
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