Designing a Model and Simulating the Production Chain of the Metal Industries in a System Dynamics Approach (Case Study: Shablon Tajhiz Company)

Document Type : Research Article

Author

Department of Industrial Engineering, Faculty of Engineering Management, Kermanshah University of Technology, Kermanshah, Iran.

Abstract

The supply chain includes all the activities required to deliver a product or service to end customers. By adopting the above approach to the supply chain, production and distribution functions are added to the chain as part of the flow of goods and services. The supply chain in this approach includes three areas: procurement, production, and distribution. This article results from a research project commissioned by the Kermanshah Industry, Mining, and Trade Organization to improve the production capacity of metal industries in the province. Based on this, effective loops were identified with the initial introduction of 26 selected companies active in the province and conducting several rounds of interviews with the management and experts of these companies. With the suggestion of the Industry, Mining, and Trade Organization and with the agreement and participation of the best and most complete company active in this context (Shablon Tajhiz), it was modeled and executed. The formulation was designed with the participation of the panel of experts and in the form of discussion sessions based on the trial and error method. In order to confirm the results, the statistical data of the company was extracted from 1390 and compared and validated with the results obtained from the model's output. Since the nature of these loops and their constituent variables change over time in the actual state. A dynamic systems approach has been used to simulate the model and consider dynamic conditions and their mutual effects. The structure of the results was checked and confirmed through the sensitivity analysis of the findings. It is worth mentioning that the analysis and drawing of the results were done using Vensim software.

Keywords


Asha, AA., Dulal, M. and Habib, A., 2023. The influence of sustainable supply chain management, technology orientation, and organizational culture on the delivery product quality-customer satisfaction nexus. Cleaner Logistics and Supply Chain, 7, p.100107. https://doi.org/10.1016/j.clscn.2023.100107.
Aslam, J., Saleem, A., Khan, N.T. and Kim, Y.B., 2021. Factors influencing blockchain adoption in supply chain management practices: A study based on the oil industry. Journal of Innovation & Knowledge, 6(2), pp.124-134. https://doi.org/10.1016/j.jik.2021.01.002.
Chari, A., Niedenzu, D., Despeisse, M., Machado, C.G., Azevedo, J.D., Boavida‐Dias, R. and Johansson, B., 2022. Dynamic capabilities for circular manufacturing supply chains—Exploring the role of Industry 4.0 and resilience. Business Strategy and the Environment, 31(5), pp.2500-2517. https://doi.org/10.1002/bse.3040.
De Giovanni, P. and Vinzi, V.E., 2012. Covariance versus component-based estimations of performance in green supply chain management. International Journal of Production Economics, 135(2), pp.907-916. https://doi.org/10.1016/j.ijpe.2011.11.001.
Engelseth, P., Molka-Danielsen, J. and White, B.E., 2019. On data and connectivity in complete supply chains. Business Process Management Journal, 25(5), pp.1145-1163. https://doi.org/10.1108/BPMJ-09-2017-0251
Ghasemzadeh, Z., Sadeghieh, A. and Shishebori, D., 2021. A stochastic multi-objective closed-loop global supply chain concerning waste management: A case study of the tire industry. Environment, Development and Sustainability, 23, pp.5794-5821. https://doi.org/10.1007/s10668-020-00847-2
Lai, Z. and Nagarajaiah, S., 2019. Sparse structural system identification method for nonlinear dynamic systems with hysteresis/inelastic behavior. Mechanical Systems and Signal Processing, 117, pp.813-842. https://doi.org/10.1016/j.ymssp.2018.08.033
Loxton, M., Truskett, R., Scarf, B., Sindone, L., Baldry, G. and Zhao, Y., 2020. Consumer behaviour during crises: Preliminary research on how coronavirus has manifested consumer panic buying, herd mentality, changing discretionary spending and the role of the media in influencing behaviour. Journal of risk and financial management, 13(8), p.166. https://doi.org/10.3390/jrfm13080166.
Ni, W. and Sun, H., 2019. The effect of sustainable supply chain management on business performance: Implications for integrating the entire supply chain in the Chinese manufacturing sector. Journal of Cleaner Production, 232, pp.1176-1186. https://doi.org/10.1016/j.jclepro.2019.05.384
Osborne, D. and Dempsey, F., 2023. Supply chain management for bulk materials in the coal industry. In The Coal Handbook (pp. 619-664). Woodhead Publishing. https://doi.org/10.1016/B978-0-12-824328-2.00004-2
Shahzad, F., Du, J., Khan, I., Shahbaz, M., Murad, M. and Khan, M.A.S., 2020. Untangling the influence of organizational compatibility on green supply chain management efforts to boost organizational performance through information technology capabilities. Journal of cleaner production, 266, p.122029. https://doi.org/10.1016/j.jclepro.2020.122029
Soori, M., Arezoo, B. and Dastres, R., 2023. Artificial Neural Networks in Supply Chain Management, A Review. Journal of Economy and Technology. https://doi.org/10.1016/j.ject.2023.11.002
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