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Tytuł artykułu

Evaluating organizational antifragility via fuzzy logic : the case of an Iranian company producing banknotes and security paper

Treść / Zawartość
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The concept of antifragility has received much attention from researchers in recent years. Contrary to fragile systems which fail when exposed to stressors, antifragile systems prosper and improve in response to unpredictability, volatility, randomness, chaos and disturbance. The implications of antifragility goes beyond resilience or robustness. A resilient system resists stress and remains the same; while an antifragile system improves. Taleb argues that antifragility is required for dealing with events that he called black swans or X-events, which are scarce, unpredictable, and extreme events. Such events come as a surprise and have major consequences. The concept of antifragility was developed by Taleb in a socioeconomic context, not in industrial production. However, the authors think that this concept may have its greatest practical utilization when applied to industrial environments. Thus, they focused on this concept in the article aiming to investigate the level of antifragility in an organization. In order to perform this, the authors used a case study based on an Iranian manufacturer of banknotes and security paper (TAKAB). Firstly, a questionnaire was designed based on 7 criteria related to antifragility using the five-point Likert scale and a triangular fuzzy number for each linguistic term is defined. In the next phase, the weight of each component was obtained using the entropy technique. In the final stage, the Euclidean distance between the aggregated fuzzy antifragility index (FAI) and each linguistic term used during this case study was calculated. Finally, based on these results, the level of the organization’s antifragility was assessed as satisfactorily antifragile, based on the minimum Euclidean distance.
Rocznik
Strony
21--43
Opis fizyczny
Bibliogr. 22 poz., rys.
Twórcy
autor
  • Department of Industry and Technology, University of Tehran, College of Farabi, Qom, Iran
autor
  • Department of Industrial Management, University of Tehran, Tehran, Iran
Bibliografia
  • [1] KENNON D., SCHUTTE C.S.L., LUTTERS E., An alternative view to assessing antifragility in an organisation. A case study in a manufacturing SME, CIRP Ann. Manuf. Technol., 2015 (64), 1, 178.
  • [2] TURNER B.L., KASPERSON R.E., MATSON P.A., MCCARTHY J.J., CORELL R.W., CHRISTENSEN L., POLSKY C., A framework for vulnerability analysis in sustainability science, Proc. National Academy of Sciences, 2003, 100 (14), 8077.
  • [3] CHROUSOS G.P., Stress and disorders of the stress system, Nature Rev. Endocr., 2009, 5 (7), 374–381.
  • [4] BENNETT D., MCGINNIS D., Coupled and complex. Human–environment interaction in the Greater Yellowstone Ecosystem, USA, Geoforum, 2008, 39 (2), 835.
  • [5] TALEB N.N., The Black Swan. The Impact of the Highly Improbable, Random House, New York 2007.
  • [6] JOHNSON J., GHEORGHE A.V., Antifragility analysis and measurement framework for systems of systems, Int. J. Dis. Risk Sci., 2013, 4 (4), 160.
  • [7] AVEN T., The concept of antifragility and its implications for the practice of risk analysis, Risk Anal., 2015, 35 (3), 478.
  • [8] VERHULSTA E., Applying systems and safety engineering principles for antifragility, Proc. Comp. Sci., 2014, 32, 844.
  • [9] JACKSON S., FERRIS T.L., Resilience principles for engineered systems, Syst. Eng., 2013, 16 (2), 152–164.
  • [10] AUGUSTO J.C., SIMARI G.R., Temporal defeasible reasoning, Know. Inf. Syst., 2001, 3 (3), 288.
  • [11] GOVERNATORI G., TERENZIANI P., Temporal extensions to defeasible logic, Adv. Artif. Intell., 2007, 4830, 478.
  • [12] CHRISTEN M., FRANKLIN L.R., The concept of emergence in complexity science. Finding coherence between theory and practice, Proc. Summer School Complex System, 2002, 4.
  • [13] GHASEMI A., BEIGILANLOUEI S., POURMAHDIAN H., Human resource development formulation and evaluation in an Iranian Petrochemical Company using ANP and grey relational analysis, Manage. Sci. Lett., 2016, 6 (7), 461–474.
  • [14] ZADEH L.A., The concept of a linguistic variable and its application to approximate reasoning-I, Inf. Sci. NY, 1975, 8 (3), 199–249.
  • [15] LOTFI F.H., FALLAHNEJAD R., Imprecise Shannon entropy and multi attribute decision making, Entropy, 2010, 12 (1), 56 (in Persian).
  • [16] VINODH S., DEVADASAN S.R., VIMALK.E.K., KUMAR D., Design of agile supply chain assessment model and its case study in an Indian automotive components manufacturing organization, J. Manuf. Syst., 2013, (32), 4, 626.
  • [17] COCHRAN W.G., Sampling Techniques, 2nd Ed., Wiley, New York 1977, 51.
  • [18] JAARON A., BACKHOUSE C.J., Building antifragility in service organizations: going beyond resilience, Int. J. Serv. Oper. Manage., 19 (4), 491–513.
  • [19] CASTI J.L., X-Events. The Collapse of Everything, Harper Collins, New York 2012.
  • [20] TALEB N.N., Antifragile. Things that Gain from Disorder, Random House Digital, New York 2012.
  • [21] CHEN C.T., Extensions of the TOPSIS for group decision-making under fuzzy environment, Fuzzy Sets Syst., 2000, 114 (1), 1–9.
  • [22] TALEB N.N., DOUADY R., Mathematical definition, mapping, and detection of (anti)fragility, Quant. Finance, 2013, 13 (11), 1677–1689.
Uwagi
PL
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-0ad67a30-9866-470a-b772-41810b4f4cf9
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