Improving the rapid office strain assessment method with an integrated multi-criteria decision making approach

Yıl 2020, , 1297 - 1314, 07.04.2020

Elif Kılıç Delice , Gülin Feryal Can , Emin Kahya

https://doi.org/10.17341/gazimmfd.484974

Cited By: 4

Öz

Hızlı ofis zorlanma değerlendirmesi yönteminin entegre bir çok kriterli karar verme yaklaşımıyla geliştirilmesi

Öz

Günümüzde işe bağlı kas
iskelet sistemi rahatsızlıkları  (KİSR)  giderek artmakta ve bu durum hem iş
verimliliğini düşürmekte hem de çalışan sağlığını olumsuz etkilemektedir. Bu
nedenle KİSR’nın ortaya çıkmadan önce önlenmesi amacıyla çalışma ortamının ergonomik
ilkelere dayanılarak tasarlanması önem taşımaktadır. Bununla birlikte, işletmelerde,
ergonomik açıdan tasarım iyileştirme çalışmalarına başlamadan önce çalışanların
zorlanma düzeyinin yüksek olduğu birimlerin ve bu birimlerdeki ofis
bileşenlerinin belirlenmesi gerekmektedir. 
Bu çalışmada, ofis bileşenlerinin neden olduğu zorlanma düzeylerinin
belirlenmesi ve bu düzeylere göre öncelikli olarak ergonomik iyileştirme
yapılacak birimlerin tespiti için Hızlı Ofis Zorlanma Değerlendirmesi (Rapid
Office Strain Assesment-ROSA) yöntemi temelinde entegre bir çok kriterli karar
verme (ÇKKV) yaklaşımı önerilmiştir. Önerilen yaklaşımda, ofis bileşenleri
nedeniyle oluşan zorlama düzeyleri ROSA yöntemine göre değerlendirilmiş, ofis
bileşenlerinin önem derecelerinin belirlenmesinde ÇKKV yöntemlerinden biri olan
Adım Adım Ağırlık Değerlendirme Oran Analizi (Step-Wise Weight Assessment Ratio
Analysis-SWARA) yöntemi kullanılmıştır. Zorlanma düzeylerine göre birimlerin
sıralanmasında ise Ağırlıklandırılmış Bütünleşik Toplam Çarpım Değerlendirmesi
(Weighted Aggregated Sum Product Assessment–WASPAS) yöntemi uygulanmıştır.
Önerilen yaklaşım, havacılık sanayisinde faaliyet gösteren bir firmada
uygulanmış ve zorlanma düzeyini arttıran en önemli ofis bileşeni sandalye
olarak belirlenirken, İmalat Mühendisliği ve ARGE birimleri ise zorlanma düzeyi
en yüksek birimler olarak tespit edilmiştir. Duyarlılık analizi sonucunda ise
birimlerin zorlanma düzeylerine ait sıralamaların değişimi değerlendirilmiştir.

Anahtar Kelimeler

ROSA, SWARA, WASPAS, Ofis, Ergonomi

Kaynakça

• 1. Mirmohammadi S.J, Mehrparvar A.H, Soleimani H, Lotfi M.H, Akbari H, Heidari N., Musculoskeletal Disorders Among Video Display Terminal (VDT) Workers Comparing with Other office Workers, Iran Occupational Health, 7(2):11-4, 2010.
• 2. Eriş H, Can G.F, Fığlalı N., Çalışma Duruşu Ve Kas-İskelet Sistemi Rahatsızlıkları. Makine Mühendisleri Odası Dergisi-Endüstri Ve İşletme Mühendisliği Meslek Dalı ana Komisyon Bülteni, Suppl 129,8-14, 2009.
• 3. Coluci M.Z, Alexandre N.M, De Freitas Pedrini T., Musculoskeletal Symptoms and Workers' Perception About Job Factors in A Pulp and Paper Industry, 41(Suppl 1):5728-30., 2012.
• 4. Choobineh A., Solaymani E., Mohammad Beigi A., Musculoskeletal Symptoms Among Workers of Metal Structure Manufacturing industry in Shiraz, Iranian Journal of Epidemiology, 5:35-43, 2009.
• 5. Blatter B.M., P.M. Bongers, Int. J. Ind. Ergon., 30, 295-306, 2002.
• 6. Toomingas A., Gavhed D., Int. J. Ind. Ergon., 38,1051-1061, 2008.
• 7. Crawford Jo: the Nordic Musculoskeletal Questionnaire. Occupational Medicine, 57:300-1,2007
• 8. Sonne M, Villalta D.L, andrews D.M., Development and Evaluation of an office Ergonomic Risk Checklist: Rosarapid office Strain Assessment. Appl Ergon.,43:98-108, 2012.
• 9. Kuorinka I., Jonsson B., Kilbom A., Et Al. Standardized Nordic Questionnaires for the analyses of Musculoskeletal Symptoms. Appl Ergon., 18:233-7, 1987.
• 10. Cook C., Burgess-Limerick R., Chang S., Int. J. Ind. Ergon., 26, 347-356, 2000.
• 11. Amell T.K., Kumar S., Int. J. Ind. Ergon. 25, 69-78, 2000.
• 12. Ferasati, F., Jalilian, M., Evaluation of WMSDS in VDT Users with Rapid office Strain Assessment (ROSA) Method, Journal of Ergonomics, 1(3), 65-74, 2014.
• 13. Brink Y, Louw Q, Grimmer K, Jordaan E, the Relationship Between Sitting Posture and Seated-Related Upper Quadrant Musculoskeletal Pain in Computing South African Adolescents: A Prospective Study. Man therapy 20:820–826, 2015.
• 14. Cheng H.K., Wong M.T., Yu Y.C., Ju Y.Y., Work-Related Musculoskeletal Disorders and Ergonomic Risk Factors in Special Education Teachers and Teacher’s Aides. BMC Pub Health, 16:137. Https://Doi.Org/10.1186/S1288 9-016-2777-7, 2016.
• 15. Davis K.G., Kotowski S.E. Postural Variability: An Effective Way to Reduce Musculoskeletal Discomfort in office Work, Hum Factors, 56:1249–1261, 2014.
• 16. Aghdaie M.H., Zolfani S.H., Zavadskas E.K., Sales Branches Performance Evaluation: A Multiple attribute Decision Making Approach, 8th international Scientific Conference-Business and Management, Vilnius Gediminas Technical University, Lithuania, 2014.
• 17. Keršuliene V., Zavadskas E. K., Turskis Z., Selection of Rational Dispute Resolution Method by Applying New Stepwise Weight Assessment Ratio analysis (Swara). Journal of Business Economics and Management, 11(2): 243–258, 2010.
• 18. Zolfani S.H., Saparauskas J., New Application of Swara Method in Prioritizing Sustainability Assessment indicators of Energy System, Engineering Economics, 24(5), 408–414, 2013.
• 19. Aghdaie M.H., Zolfani S.H., Zavadskas E.K., Decision Making in Machine tool Selection: an integrated Approach with Swara and Copras-G Methods, Engineering Economics, 24(1), 5–17, 2013.
• 20. Zavadskas, E. K., Turskis, Z., Antucheviciene, J. & Zakarevicius, A. Optimization of weighted aggregated sum product assessment. Elektronika ir elektrotechnika, 122(6), 3-6,2012.
• 21. Chakraborty S., Zavadskas E.K., Applications of Waspas Method in Manufacturing Decision Making. Informatica, 25:1–20, 2014.
• 22. Andrews, D. M.,The Rapid Office Strain Assessment (ROSA): Validity of online worker self-assessments and the relationship to worker discomfort. Occupational Ergonomics, 10(3), 83-101,2011.
• 23. Sonne M.W., Ward R., Thuy C., Andrews D. M., integration of Mobile office Equipment into the Rapid office Strain Assessment (ROSA), Ace 2015, Proceedings of the 46th annual Conference, 2015
• 24. Krusun M., Chaiklieng S., Ergonomic Risk Assessment in University office Workers, Asia-Pacific Journal of Science and Technology, 19(5), 696-707, 2014.
• 25. Ghanbary-Sartang A., Habibi H., Evaluation of Musculoskeletal Disorders to Method Rapid office Strain Assessment (ROSA) in Computers Users, Journal of Preventive Medicine, 2(1), 47-54, 2015.
• 26. Liebregts J., Sonne M., Potvin J. R., Photograph-Based Ergonomic Evaluations Using the Rapid office Strain Assessment (ROSA), Applied Ergonomics, 52, 317-324, 2016.
• 27. Nasiri I., Motamedzade M., Golmohammadi R., Faradmal J., Assessment of Risk Factors for Musculoskeletal Disorders Using the Rapid office Strain Assessment (ROSA) Method and Implementing Ergonomics intervention Programs in Sepah Bank, Health and Safety at Work, 5(2), 47-62, 2015.
• 28. Matos M., Arezes P., Ergonomic Evaluation of Office Workplaces with Rapid office Strain Assessment (ROSA), Procedia Manufacturing, 3, 4689-4694, 2015.
• 29. Nasiri I.M.A.N., the Survey of Musculoskeletal Disorders Risk Factors Among Office Workers and the Implementation of an Ergonomic Training Program, Journal Mil Med, 16(4), 211-216, 2015.
• 30. Sohrabi M., Faridizad A.M., Farasati F., Comparing Results of Musculoskeletal Disorders Evaluation in Computer Users with Cmdq, Rula and Rosa Methods, Scientific Journal of Ilam University of Medical Sciences, 23(4), 53-62, 2015.
• 31. Poochada W., Chaiklieng S., Ergonomic Risk Assessment Among Call Center Workers, Procedia Manufacturing, 3, 4613-4620, 2015
• 32. Samaei S.I., Tirgar A., Khanjani N., Mostafaee, M., Bagheri Hosseinabadi, M., Amrollahi, M., Assessment of Ergonomics Risk Factors influencing incidence of Musculoskeletal Disorders Among Office Workers, Health and Safety at Work, 5(4), 1-12, 2015.
• 33. Armal A., Mokhtarinia H., Biglarian, A., Abdi, K., Face and Convergent Validity of Persian Version of Rapid office Strain Assessment (ROSA) Checklist, Archives of Rehabilitation, 16(4), 356-365, 2016.
• 34. Ghanbary A., Habibi E., Evaluation of Musculoskeletal Disorders Among Computer Users in Isfahan, Iranian Journal of Health, Safety and Environment, 2(3), 330-334, 2015.
• 35. Sonne M.W., Ward R., Thuy C., Andrews D. M., integration of Mobile office Equipment into the Rapid office Strain Assessment (ROSA), Ace 2015, Proceedings of the 46th annual Conference, 2015
• 36. Soroush M., Hassani H., Musculoskeletal Complaints Associated with Computer Use and Its Ergonomic Risks for office Workers of a Medical Sciences University in Tehran, Ann Mil Health Sci Res, 13(1), 2-6, 2015
• 37. Mani K., Provident I., Eckel E., Evidence-Based Ergonomics Education: Promoting Risk Factor Awareness Among Office Computer Workers, Work, 55(4), 913-922, 2016.
• 38. Saeidi C., Dastaran S., Musavi S., Evaluation of the Risk Factors of Musculoskeletal Disorders and Its Relation to the Workload of Employees at 118 Call Center in Sanandaj, Iran, Journal of Health and Development, 5(2), 110-121, 2016.
• 39. Machado-Matos M., Arezes P. M., Impact of A Workplace Exercise Program on Neck and Shoulder Segments in office Workers. Dyna, 83(196), 63-68, 2016.
• 40. A'syaroh I.K., Etika Muslimah S.T., Evaluasi Postur Kerja Pada Unit integrated Operation Center Regional (Iocr) Pt Abc Menggunakan Metode Rapid office Strain Assesment (Rosa), Doctoral Dissertation, Universitas Muhammadiyah Surakarta, 2016.
• 41. Valipour F., Mohammadian, M.S., Yahyaei E., Shokri S., Ahmadi O., Assessment of the Staff Working Posture Using Reba & Rosa Methods in A Military Hospital, Health Research, 1(3), 167-172, 2016.
• 42. Khandan M., Arab Z., Koohpaei A., High Ergonomic Risk of Computer Work Postures Among Iranian Hospital Staff: Evidence from A Cross-Sectional Study, International Journal of Hospital Research, 5(1), 29-34, 2016.
• 43. Rodrigues M.S.A., Leite R.D.V., Lelis C.M., Chaves T.C. Differences in Ergonomic and Workstation Factors Between Computer Office Workers with and without Reported Musculoskeletal Pain, Work, 57(4), 563-572, 2017.
• 44. Davudian-Talab A., Azari G., Badfar G., Shafeei A., Derakhshan Z., Evaluation and Correlation of the Rapid Upper Limb Assessment and Rapid office Strain Assessment Methods for Predicting the Risk of Musculoskeletal Disorders, Internal Medicine and Medical Investigation Journal, 2(4), 155-160, 2017.
• 45. Rahman M.N.A., Razak N.S.A., Hassan M.F., Adzila S., Ngali M.Z., Salleh S.M., Quantifying Exposure to Risk Factors Among Office Workers Using Rosa Method, Advanced Science Letters, 23(8), 7597-7600, 2017.
• 46. Ebrahimi H., Barakat S., Habibi E., Mohammadian M., Comparing of Rula and Rosa Method in Assessing Risk of Musculoskeletal Disorders and Its Relationship with Mental Health in Computer Users, Iran Occupational Health, 14(5), 142-134, 2017.
• 47. Özkan N.F., Kahya E., Bir Üniversitenin Idari ofislerindeki Ergonomik Risklerin Değerlendirilmesi, Journal of the Faculty of Engineering and Architecture of Gazi University 32:1, 141-150, 2017.
• 48. Jiménez-Romero M.D.L.A., Prevalencia De Dolencias Musculo-Esqueléticas Y Evaluación De Riesgo Postural En Trabajadores Administrativos Del instituto Tecnológico De Costa Rica En La Sede Central Cartago, 2017.
• 49. Maghsoudian L. Ergonomic Assessment of Musculoskeletal Disorders Risk Factors in office Staff Using Rosa Method and Its Relation with Efficiency, Journal of Military Medicine, 19(1), 31-39, 2017.
• 50. Jusoh F., Zahid M.N.O., Ergonomics Risk Assessment Among Support Staff in University Malaysia Pahang. In Iop Conference Series: Materials Science and Engineering Iop Publishing, DOI:10.1088/1757-899X/319/1/012059
• 51. Besharati A., Daneshmandi H., Zareh K., Fakherpour A., Zoaktafi M., Work-Related Musculoskeletal Problems and Associated Factors Among Office Workers, International Journal of Occupational Safety and Ergonomics, 1-19, 2018.
• 52. Kingkaew W.M., Paileeklee S., Jaroenngarmsamer P., Validity and Reliability of the Rapid office Strain Assessment [Rosa] Thai Version, Journal of the Medical Association of Thailand, 101(1), 145-9, 2018.
• 53. Haghshenas B., Habibi E., Hajar F.H.E., Sartang A.G., Van Wijk L., Khakkar S., the Association Between Musculoskeletal Disorders with Mental Workload and Occupational Fatigue in the office Staff of A Communication Service Company in Tehran, Iran, 2017.
• 54. Sanaeinasab H., Saffari M., Valipour F., Alipour H.R., Sepandi M., Al Zaben F., Koenig H.G., the Effectiveness of A Model-Based Health Education intervention to Improve Ergonomic Posture in office Computer Workers: A Randomized Controlled Trial, International Archives of Occupational and Environmental Health, 1-12, 2018.
• 55. Keršulienė V., Turskis Z., integrated Fuzzy Multiple Criteria Decision-making Model for Architect Selection, Technological and Economic Development of Economy, 17(4), 645–666, 2011.
• 56. Zolfani S.H., Esfahani M.H., Bitarafan M., Zavadskas E.K., Arefi S. L., Developing A New Hybrid Mcdm Method for Selection of the Optimal Alternative of Mechanical Longitudinal Ventilation of Tunnel Pollutants During Automobile Accidents”, Transport, 28(1), 89–96. Doi:10.3846/16484142.2013.782567, 2013.
• 57. Alimardani M., Zolfani S.H., Aghdaie M.H., Tamosaitiene J., A Novel Hybrid Swara and VIKOR Methodology for Supplier Selection in an Agile Environment, Technological and Economic Development of Economy, 19(3), 533–548, 2013.
• 58. Aytaç E., Adalı A., Tuş I., Bir Tedarikçi Seçim Problemi İçin SWARA ve WASPAS Yöntemlerine Dayanan Karar Verme Yaklaşımı, International Review of Economics and Management, 5(4), 56-77, 2017.
• 59. Zolfani S.H., Zavadskas E.K., Turskis Z., Design of Products with Both international and Local Perspectives Based on Yin-Yang Balance theory and Swara Method, Economic Research, 26(2), 153–166, 2013.
• 60. Zolfani S.H., Saparauskas J., New Application of Swara Method in Prioritizing Sustainability Assessment indicators of Energy System, Engineering Economics, 24(5), 408–414, 2013.
• 61. Aghdaie M.H., Zolfani S.H., Zavadskas E.K., A Hybrid Approach for Market Segmentation and Market Segment Evaluation and Selection: an integration of Data Mining and MADM, Transformations in Business and Economics,12, 431-458, 2013.
• 62. Bagoˇcius V., Zavadskas K.E., Turskis Z., Multi-Criteria Selection of Adeep-Water Port in Klaipeda, Procedia Eng. 57, 144–148, 2013.63. Staniunas M., Medineckien˙e M., Zavadskas E.K., Kalibatas D., to Modernize or Not: Ecological-Economical Assessment of Multi-Dwelling Houses Modernization, Arch. Civil Mech. Eng. 13, 88–98, 2013.
• 64. Zavadskas E.K., antucheviciene J., Saparauskas J., Turskis Z., MCDM Methods WASPAS and MULTIMOORA: Verification of Robustness of Methods When Assessing Alternative Solutions, Econ. Comput. Econ. Cybern. Stud. Res. 47, 5–20, 2013.
• 65. T. D˙ejus, J. antucheviˇcien˙e, Assessment of Health and Safety Solutions at Aconstruction Site, J. Civil Eng. Manage. 19, 728–737, 2013.66. Zolfani S.H., Bahrami M., Investment Prioritizing in High Tech industries Based on Swara-Copras Approach, Technological & Economic Development of Economy, 20(3), 534–553, 2014.
• 67. Lashgari S., Antuchevičienė J., Delavari A., Kheirkhah O., Using Qspm and Waspas Methods for Determining Outsourcing Strategies. Journal of Business Economics and Management, 15(4): 729-743, 2014.
• 68. Zolfani S.H., Banihashemi S.S.A., Personnel Selection Based on A Novel Model of Game theory and Mcdm Approaches. 8th international Scientific Conference, Business and Management, Vilnius Gediminas Technical University, Lithuania, 2014.
• 69. Stanujkic D., Djordjevic B., Karabasevic D., Selection of Candidates in the Process of Recruitment and Selection of Personnel, Quaestus Multidisciplinary Research Journal, 7, 53–64, 2015.
• 70.Karabasevic D., Stanujkic D., Urosevic S., the MCDM Model for Personnel Selection Based on SWARA and ARAS Methods, Journal of Sustainable Business and Management Solutions in Emerging Economies, 20 (77): 43-52, 2015.
• 71. Karabasevic D., Stanujkic D., Urosevic S., Maksimovic M., Selection of Candidates in the Mining Industry Based on the Application of the SWARA and the MULTIMOORA Methods, Acta Montanistica Slovaca, 20(2): 116–124, 2015.
• 72. Stanujkic D., Karabasevic D., Zavadskas E.K., A Framework for the Selection of a Packaging Design Based on the Swara Method, Engineering Economics, 26(2), 181–187, 2015.
• 73.Dehnavi A., Aghdam I.N., Pradhan B., Morshed Varzandeh M.H., A New Hybrid Model Using Step-Wise Weight Assessment Ratio analysis (Swara) Technique and Adaptive Neuro-Fuzzy inference System (anfis) for Tegional Landslide Hazard Assessment in Iran, Catena, 135(2015), 122–148, 2015.74. Chakraborty, S., & Zavadskas, E.K. 2014. Applications of WASPAS method in manufacturing decision making. Informatica, 25(1): 1–20.75. Shukla S., Mishra P.K., Jain R., Yadav, H.C., An Integrated Decision-making Approach for ERP System Selection Using SWARA and PROMETHEE Method, int. J. of intelligent Enterprise, 3(2), 120–147, 2016.
• 76. Yazdani M., Zavadskas E.K., Ignatius J., Abad M.D., Sensitivity analysis in Madm Methods: Application of Material Selection, Engineering Economics, 27(4), 382–391, 2016.
• 77. Zolfani S.H., Pourhossein M., Yazdani M., Zavadskas E.K., Evaluating Construction Projects of Hotels Based on Environmental Sustainability with MCDM Framework, Alexandria Engineering Journal, Alexandria Engineering Journal Volume 57, Issue 1, 357-365, March 2018.78. Işık A.T., Adalı E.A., A New integrated Decision-Making Approach Based on SWARA and OCRA Methods for the Hotel Selection Problem, international Journal of Advanced Operations Management, 8(2): 140-151, 2016.
• 79. Can G.F., Atalay K.D., Eraslan E., Tabletlerin Kullanılabilirlik Ölçütlerine Göre Çok Kriterli Karar Verme Yaklaşımıyla Değerlendirilmesi, Mühendislik Bilimleri Ve Tasarım Dergisi, 5(Si): 81-88, 2017.
• 80. Çakır E., Kriter Ağırlıklarının SWARA– Copeland Yöntemi Ile Belirlenmesi: Bir Üretim İşletmesinde Uygulama, Adnan Menderes Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 4(1), 42-56, 2017.
• 81. Zavadskas E.K., Baušys R., Lazauskas M., Sustainable Assessment of Alternative Sites for the Construction of Awaste incineration Plant by Applying Waspas Method with Single-Valued Neutrosophic Set, Sustainability, 7: 15923–15936, 2015.
• 82. Madic M., Gecevska V., Radovanovic M., Petkovic, D., Multi-Criteria Economic analysis of Machining Processes Using the Waspas Method, Journal of Production Engineering, 17(2): 79-82, 2014.
• 83. Mathew M., Sahu S., Upadhyay A.K., Effect of Normalization Techniques in Robot Selection Using Weighted Aggregated Sum Product Assessment, International Journal of Innovative Research and Advanced Studies (Ijiras), 4(2): 59-63, 2017.
• 84. Akçakanat Ö., Eren H., Aksoy E., Ömürbek, Bankacılık Sektöründe Entropi Ve Waspas Yöntemleri Ile Performans Değerlendirmesi, Süleyman Demirel Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 22, 285-300,2017.
• 85. Alam K.A., Ahmed R., Butt F. S., Kim S.G., Ko K.M., an Uncertainty-Aware integrated Fuzzy Ahp-Waspas Model to Evaluate Public Cloud Computing Services, Procedia Computer Science, 130, 504-509,2018.
• 86. Zolfani, S. H., Aghdaie, M. H., Derakhti, A., Zavadskas, E. K. & Varzandeh, M. H. M., Decision making on business issues with foresight perspective; an application of new hybrid MCDM model in shopping mall locating. Expert Syst. Appl., 40(17): 7111-7121,2013.
• 87. Vafaeıpour, M., Zolfanı, S. H., Varzandeh, M. H. M., Derakhtı, A., Keshavarz, M. E., Assessment of Regions Priority for Implementation of Solar Projects in Iran: New Application of a Hybrid Multi-Criteria Decision Making Approach, Energy Convers. Manage., 86, 653–663,2014.
• 88. Bitarafan S., Zolfani S.H., Arefi S.L., Zavadskas E.K., Mahmoudzadeh A., Evaluation of Real-Time intelligent Sensors for Structural Health Monitoring of Bridges Based On SWARA-WASPAS; A Case in Iran, Baltic J.Road Bridge Eng. 9,2014.
• 89. Can G.F., Delice E.K., Özçakmak B.C., Çok Kriterli Karar Verme Yaklaşımıyla Oturma Düzeneği Seçimi, Mühendislik Bilimleri ve Tasarım Dergisi, 5(Si): 213-225, 2017.