Abstract
System Dynamics (SD) has been recognized as one of the computational technique approaches used in studying the behavior of complex feedback systems over time in diverse fields of engineering, health, social, agricultural, and management systems. This chapter deals with SD and its applications in various disciplines; simple considerations in drawing causal loop diagrams; stock and flow diagrams; and safety management systems. Furthermore, its interaction with computer programming and the application of SD in manufacturing for safety strategy selection and cost-saving are discussed. Thus, it reveals its application as one of the modeling and computational techniques useful in manufacturing safety systems for intervention strategy allocations.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Adebiyi K A, Charlas-Owaba O E (2009), “Towards Setting a Sustainable Manufacturing Safety Programme” Disaster Prevention and Management, An International Journal UK 18(4):388–396. https://doi.org/10.1108/09653560910984447
Adebiyi K A, Ajayeoba A O, Akintan A L (2018). Economic Implication of Safety – Policy on Manufacturing Safety Programme Performance. International Journal of Engineering Research in Africa. 36:137–146. https://doi.org/10.4028/www.scientific.net/JERA.36.137
Adebiyi K A, Charles-Owaba O E, Waheed M A (2007). Safety performance evaluation models: A review. Disaster Prevention and Management, an International Journal. 16(2):178–187. https://doi.org/10.1108/09653560710739504
Adebiyi K A, Onawumi A S (2014). A Bi – Objective Modeling of Manufacturing Safety Planning and Management” Industrial Engineering Letters 4(9):27 – 35.
Adeyi A J, Adeyi O, Ogunsola A D, Fajobi M O, Ajayi O K, Oyelami S, Otolorin J A (2021) Moisture Absorption Characteristics and Adaptive Neuro-Fuzzy Modelling of Ampelocissus Cavicaulis Fiber Reinforced Epoxy Composite LAUTECH Journal of Engineering and Technology 14(2):89–97.
Adie W, Cairns J, Macdiarmid J, Ross J, Watt S, Taylor C L, Osman L M (2005). Safety culture and accident risk control: Perceptions of professional divers and offshore workers. Safety Science. 43:131–145. https://doi.org/10.1016/j.ssci.2005.01.003
Affeldt J F (1999) The application of system dynamics (SD) simulation to enterprise management. In Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future. 2:1496–1500. https://doi.org/10.1109/WSC.1999.816885
Ajayeoba A O (2021) Safety Strategy Allocation Simulator for Accident Reduction and Cost Savings in Safety Management System. Innovative Systems Design and Engineering 12(2):35–46.
Ajayeoba A O, Adebiyi K A, Raheem W A (2018) “A Mathematical Approach to Perception of Safety as Investment Rather than Accident Prevention Only” International Journal of Mechanical and Production Engineering. 6(12):65–69.
Ajayeoba A O, Raheem W A, Adebiyi K A (2019) “Development of a System Dynamic Model for Sawmill Safety System” Advanced Engineering Forum. 32:63–74. https://doi.org/10.4028/www.scientific.net/AEF.32.63
Arblaster M (2018). Safety Regulation of Air Traffic a book chapter In ManagementAir Traffic Management: Economics, Regulation and Governance. Elsevier.
Babanezhad M, Nakhjiri A T, Marjani A, Rezakazemi M, Shirazian S (2020) Evaluation of product of two sigmoidal membership functions (psigmf) as an ANFIS membership function for prediction of nanofluid temperature Scientific Reports 10:22337. https://doi.org/10.1038/s41598-020-79293-z
Bala B K, Arshad F M, Noh K M (2017). System dynamics. Modelling and Simulation. https://doi.org/10.1007/978-981-10-2045-2
Bastan M, Khorshid-Doust R R, Sisi S D, Ahmadvand A (2017). Sustainable development of agriculture: a system dynamics model. Kybernetes. 47(1):142–162. https://doi.org/10.1108/K-01-2017-0003
Chinnam R B, Baruah P (2004) A neuro-fuzzy approach for estimating mean residual life in condition-based maintenance systems Int. J. Materials and Product Technology, 20:1–3. https://doi.org/10.1504/IJMPT.2004.003920
Currie D J, Smith C, Jagals, P (2018). The application of system dynamics modelling to environmental health decision-making and policy-a scoping review. BMC public health, 18(1):1–11. https://doi.org/10.1186/s12889-018-5318-8
Daneshgar S, Zahedi R (2022). Investigating the hydropower plants production and profitability using system dynamics approach. Journal of Energy Storage, 46:103919. https://doi.org/10.1016/j.est.2021.103919
Dhirasasna N, Becken S, Sahin O (2020). A systems approach to examining the drivers and barriers of renewable energy technology adoption in the hotel sector in Queensland, Australia. Journal of Hospitality and Tourism Management, 42:153–172. https://doi.org/10.1016/j.jhtm.2020.01.001
Fernandez-Muniz B, Montes-Peon J M, Vazquez-Ordas C J (2012). Safety climate in OHSAS 18001-certified organisations: Antecedents and consequences of safety behaviour. Accident Analysis and Prevention. 45:745– 758. https://doi.org/10.1016/j.aap.2011.10.002
Gu Y, Onggo B S, Kunc M H, Bayer S (2022). Small Island Developing States (SIDS) COVID-19 post-pandemic tourism recovery: A system dynamics approach. Current Issues in Tourism, 25(9):1481–1508. https://doi.org/10.1080/13683500.2021.1924636
Guo B H, Goh Y M, Wong K L X (2018). A system dynamics view of a behaviour-based safety program in the construction industry. Safety Science, 104:202–215. https://doi.org/10.1016/j.ssci.2018.01.014
Hasan M F, Sobhan M A (2020) Describing Fuzzy Membership Function and Detecting the Outlier by Using Five Number Summary of Data. American Journal of Computational Mathematics, 10:410–424. https://doi.org/10.4236/ajcm.2020.103022
International Labour Organization (ILO) (2022) World Statistic https://www.ilo.org/moscow/areas-of-work/occupational-safety-and-ealth/WCMS_249278/lang--en/index.htm. Retrieved on 10/08/2022
Ismail S N, Ramli A, Aziz H A (2021). Influencing factors on safety culture in the mining industry: A systematic literature review approach. Resources Policy, 74:102250. https://doi.org/10.1016/j.resourpol.2021.102250
Liu Z, Xie K, Li L, Chen Y (2020). A paradigm of safety management in industry 4.0. Systems Research and Behavioral Science, 37(4): 632–645. https://doi.org/10.1002/sres.2706
Maani K E, Cavana R Y (2000). Systems Thinking and Modelling: Understanding Change and Complexity, Prentice Hall, Auckland.
Mousavi A, Mohammadzadeh M, Zare H (2022). Developing a System Dynamic Model for Product Life Cycle Management of Generic Pharmaceutical Products: Its Relation with Open Innovation. Journal of Open Innovation: Technology, Market, and Complexity, 8(1):14. https://doi.org/10.3390/joitmc8010014
National Safety Council (2021). Work Injury Costs. Injury facts. https://injuryfacts.nsc.org/work/costs/work-injury-costs/
Raharja M A, Darmawan I D M B A, Nilakusumawati D P E, Supriana I W (2021). Analysis of membership function in implementation of adaptive neuro fuzzy inference system (ANFIS) method for inflation prediction. In Journal of Physics: Conference Series 1722(1):012005. IOP Publishing. https://doi.org/10.1088/1742-6596/1722/1/012005
Ramasamy V, Gomathy B, Obulesu O, Sarkar J L, Panigrahi, C R, Pati B, Majumder A (2020). Machine learning techniques and tools: Merits and demerits. In New Age Analytics. 23–55. Apple Academic Press.
Ramli N N, Shamsudin M N, Mohamed Z, Radam A (2012). The impact of fertiliser subsidy on Malaysia paddy/rice industry using a system dynamics approach. International Journal of Social Science and Humanity, 2(3):213.
Sada S O, Ikpeseni S C (2021). Evaluation of ANN and ANFIS modeling ability in the prediction of AISI 1050 steel machining performance. Heliyon, 7(2):e06136. https://doi.org/10.1016/j.heliyon.2021.e06136
Saleh B, Maher I, Abdelrhman Y, Heshmat M, Abdelaal O (2020). Adaptive neuro-fuzzy inference system for modelling the effect of slurry impacts on PLA material processed by FDM. Polymers, 13(1):118. https://doi.org/10.3390/polym13010118
Sapiri H, Zulkepli J, Ahmad N, Abidin N Z, Hawari N N (2017). Introduction to system dynamic modelling and vensim software. UUM Press. https://doi.org/10.32890/9789672064084
Sarker I H (2021). Machine learning: Algorithms, real-world applications and research directions. SN Computer Science, 2(3):1–21. https://doi.org/10.1007/s42979-021-00592-x
Sarker I H, Hoque M M, Uddin M, Alsanoosy T (2021). Mobile data science and intelligent apps: concepts, AI-based modelling and research directions. Mobile Networks and Applications, 26(1):285–303. https://doi.org/10.1007/s11036-020-01650-z
Sarker I H, Kayes A S M, Badsha S, Alqahtani H, Watters P, Ng A (2020). Cybersecurity data science: an overview from a machine learning perspective. Journal of Big data, 7(1):1–29. https://doi.org/10.1186/s40537-020-00318-5
Sgourou E, Katsakiori P, Goutsos S, Manatakis E (2010). Assessment of selected safety performance evaluation methods in regards to their conceptual, methodological and practical characteristics. Safety Science, 48(8):1019–1025.
Shorten C, Khoshgoftaar T M, Furht B (2021) Deep learning applications for covid-19. J Big Data. 8(1):1–54. https://doi.org/10.1016/j.ssci.2009.11.001
Sun Y, Liu N, Shang J, Zhang J (2017). Sustainable utilisation of water resources in China: A system dynamics model. Journal of cleaner production, 142:613–625. https://doi.org/10.1016/j.jclepro.2016.07.110
Tang O, Rehme J (2017). An investigation of renewable certificates policy in the Swedish electricity industry using an integrated system dynamics model. International Journal of Production Economics, 194:200–213. https://doi.org/10.1016/j.ijpe.2017.03.012
Thirupathi R M, Vinodh S, Dhanasekaran S (2019). Application of system dynamics modelling for a sustainable manufacturing system of an Indian automotive component manufacturing organisation: A case study. Clean Technologies and Environmental Policy, 21(5):1055–1071. https://doi.org/10.1007/s10098-019-01692-2
Tidwell V C, Passell H D, Conrad S H, Thomas R P (2004). System dynamics modeling for community - based water planning: Application to the Middle Rio Grande. Aquatic Sciences. 66:357–372. https://doi.org/10.1007/s00027-004-0722-9
Ting H I, Lee P C, Chen P C, Chang L M (2020). An adjusted behaviour-based safety program with observation by front-line workers for mitigating construction accident rate. Journal of the Chinese Institute of Engineers, 43(1):37–46. https://doi.org/10.1080/02533839.2019.1676654
Uzuner S, Cekmecelioglu D (2016) Comparison of Artificial Neural Networks (ANN) and Adaptive Neuro-Fuzzy Inference System (ANFIS) Models in Simulating Polygalacturonase. Bioresources 11(4):8676–8685. https://doi.org/10.15376/biores.11.4.8676-8685
Williams B, Harris B (2005). System Dynamics Methodology. A document prepared as part of a workshop organized by Glenda Eoyang, Bob Williams, and Bill Harris for staff of the WK Kellogg Foundation.
Woodcock (2014) Model of safety inspection. Safety Science. 62, 145–156. https://doi.org/10.1016/j.ssci.2013.08.021
Yearworth, M. (2014). A Brief Introduction to System Dynamics Modelling. The University of Bristol. 24 October 2014.
Yu S C K, Hunt B (2004). A fresh approach to safety management systems in Hong Kong. The TQM Magazine. 16(3):210–215. https://doi.org/10.1108/09544780410532945
Zhang M, Fang D (2013). A continuous Behavior-Based Safety strategy for persistent safety improvement in the construction industry. Automation in Construction. 34:101–107. https://doi.org/10.1016/j.autcon.2012.10.019
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this chapter
Cite this chapter
Ajayeoba, A.O., Adebiyi, K.A., Raheem, W.A., Fajobi, M.O., Musa, A.I. (2024). System Dynamic: An Intelligent Decision-Support System for Manufacturing Safety Intervention Program Management. In: Realyvásquez Vargas, A., Satapathy, S., García Alcaraz, J.L. (eds) Automation and Innovation with Computational Techniques for Futuristic Smart, Safe and Sustainable Manufacturing Processes. Springer, Cham. https://doi.org/10.1007/978-3-031-46708-0_13
Download citation
DOI: https://doi.org/10.1007/978-3-031-46708-0_13
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-46707-3
Online ISBN: 978-3-031-46708-0
eBook Packages: EngineeringEngineering (R0)