The Impact of Applying the Holonic Manufacturing System on Improving the Quality of Operational Performance in Industrial Organizations

Taher Hameed Abbas Bahia; Khawlah Radhi Athab

doi:10.61132/ijema.v2i2.630

Authors

Taher Hameed Abbas Bahia Al- Furat Al-Awsat Technical University
Khawlah Radhi Athab Al-Qadisiyah University

DOI:

https://doi.org/10.61132/ijema.v2i2.630

Keywords:

Holonic manufacturing system, Order Holon, Product Holon, Resource Holon, Staff Holon

Abstract

This study aims to enhance the quality of operational performance by implementing the Holonic Manufacturing System (HMS). The system involves dividing manufacturing processes into autonomous, collaborative, and participatory holons, including the Order Holon, Product Holon, Resource Holon, and Staff Holon. The primary objective is to optimize production efficiency by reducing costs, minimizing processing time, and increasing flexibility while improving overall organizational productivity. The research problem centers on evaluating the impact of holonic manufacturing on operational performance improvement. This study is significant as it addresses a critical issue for firms striving to enhance their efficiency and deliver value to customers. The adoption of HMS is not only a practical approach but also a widely recognized business strategy that has garnered interest from researchers and industry professionals alike.To achieve the study’s objectives, a structured questionnaire comprising 36 items was developed and distributed to participants. Two primary hypotheses were formulated to examine the relationship between HMS implementation and operational performance quality. Various statistical analyses were conducted using SPSS (version 24) and AMOS (version 24) to test the hypotheses and validate the findings. The results indicate a significant correlation and causal relationship between the Holonic Manufacturing System and operational performance quality. The findings suggest that implementing HMS effectively enhances organizational performance by improving production processes, increasing efficiency, and reducing operational constraints. Therefore, adopting this system can lead to a more agile, cost-effective, and productive manufacturing environment, making it a valuable strategy for modern organizations.

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References

Al-Ahbabi, T. F. M. (2023). Possibility implementation of the Holonic Manufacturing System by adopting the Lean Six Sigma requirements: The mediating role of the Lean Supply Chain Standards (Doctoral dissertation, Tikrit University).

Al-Enezi, Q. M., & Hatf, H. H. (2019). Total quality and its role in improving the operational performance of employees. Al-Muthanna Journal of Administrative and Economic Sciences, 9(1).

Ali, E. F. (2023). The possibility of applying holonic and fractal manufacturing systems to achieve the efficiency of the manufacturing system (Doctoral dissertation, Al-Qadisiyah University, Iraq).

Al-Janabi, Y. N., & Hassan, S. B. (2020). Improving operational performance through simulating the Holonic Manufacturing System. Journal of Economics and Administrative Sciences, 26(121).

Al-Jubouri, M. A. J. (2013). The clarity of operational performance standards and its role in improving operations management decisions (Master’s thesis, Mosul University, Iraq).

Al-Khayyat, Z. S. (2005). Total quality management requirements and operational performance of banks (Master’s thesis, University of Mosul, Iraq).

Al-Najjar, S. M., & Mohsen, A. K. (2012). Production and operations management (4th ed.). Wael Publishing.

Babiceanu, R. (2005). Holonic-based control system for automated material handling systems (Doctoral dissertation, Virginia Polytechnic Institute and State University).

Bendickson, J. S., & Chandler, T. D. (2019). Operational performance: The mediator between human capital developmental programs and financial performance. Journal of Business Research, 94.

Brennan, R. (2006). Towards the assessment of holonic manufacturing systems. 12th IFAC/IFIP/IFORS/IEEE/IMS Symposium on Information Control Problems in Manufacturing, Saint-Etienne, France.

Daft, R. L., Murphy, J., & Willmott, H. (2010). Organization theory and design (10th ed.). South-Western, Cengage Learning.

Derigent, W., Cardin, O., & Trentesaux, D. (2020). Industry 4.0: Contributions of holonic manufacturing control architectures and future challenges. Journal of Intelligent Manufacturing, 32.

Derigent, W., Cardin, O., & Trentesaux, D. (2021). Industry 4.0: Contributions of holonic manufacturing control architectures and future challenges. Journal of Intelligent Manufacturing, 32(7).

Dewa, M. T., Matope, A. F., Van D. M., & Nyanga, L. (2014). Holonic control system: A proposed solution for managing dynamic events in a distributed manufacturing environment. SAIIE26 Proceedings Conference, Muldersdrift, South Africa.

Fletcher, M. (2007). Evaluating the Prometheus methodology through a case study on designing an agent-based holonic control system. International Journal of Manufacturing Research, 2(3).

Hsieh, F. (2010). Design of reconfiguration mechanism for holonic manufacturing systems based on formal models. Engineering Applications of Artificial Intelligence, 23.

Hsieh, F. (n.d.). Holarchy formation and optimization in holonic manufacturing systems I. Automatica, 45.

Issa, H., Ostrosi, E., Lenczner, M., & Habib, R. (2014). Discontinuous phenomena of holonic design: Functional completeness versus solution completeness. Procedia CIRP, 21.

Jana, T., Bairagi, B., Paul, S., Sahnawaj, S., Sarkar, B., & Saha, J. (2014). Multi-objective scheduling in an agent-based holonic manufacturing system. Decision Science Letters, 3.

Khanchanapong, T., Prajogo, D., Sohal, A. S., Cooper, B. K., Yeung, A. C., & Cheng, T. C. E. (2014). The unique and complementary effect of manufacturing technologies and lean practices on manufacturing operational performance. International Journal of Production Economics, 153.

Kruger, K., & Basson, A. (2018). JADE multi-agent system holonic control implementation for a manufacturing cell. Department of Mechanical and Mechatronic Engineering, Stellenbosch University, South Africa.

Leeuw, S., & Berg, J. (2011). Improving operational performance by influencing shopfloor behavior via performance management practices. Journal of Operations Management, 29.

Leitao, P., & Restivo, F. (2006). ADACOR: A holonic architecture for agile and adaptive manufacturing control. Computers in Industry, 57.

Leuvennink, J. C. (2018). The integration of human workers as resource holons in a holonic manufacturing cell (Master’s thesis, Stellenbosch University).

Luca, A. (2022). Developing a holonic shop floor control system using MANPrro for agent-to-agent communications. Intelligent Systems Group; SOS-Conference.

Macherki, D., Diallo, T. M. L., Choley, J.-Y., Guizani, A., Barkallah, M., & Haddar, M. (2021). QHAR: Q-Holonic-based architecture for self-configuration of cyber–physical production systems. Applied Sciences, 11.

Niemann, J., Basson, A., Fussenecker, C., Kruger, K., Schlosser, M., & Turek, S. (2018). Implementation of eye-tracking technology in holonic manufacturing systems. ScienceDirect, Procedia - Social and Behavioral Sciences, 238.

Oborski, P., & Wysocki, P. (2022). Intelligent visual quality control system based on convolutional neural networks for holonic shop floor control of Industry 4.0 manufacturing systems. Advances in Science and Technology Research Journal, 16(2).

Okdi, A., & Issawi, A. (2021). The impact of the resource planning system on the operational performance of the institution. Faculty of Economic, Commercial and Management Sciences, Ahmed Draya University, Adrar, Algeria.

Pach, C., Bekrar, A., Zbib, N., Sallez, Y., & Trentesaux, D. (2012). An effective potential field approach to FMS holonic hierarchical control. Control Engineering Practice, 20.

Tiwari, M., & Mondal, S. (2002). Application of an autonomous agent network to support the architecture of a holonic manufacturing system. International Journal of Advanced Manufacturing Technology, 20.

Vrba, P., Tichý, P., Marik, V., Hall, K., Stron, R., Maturana, F., & Kadera, P. (2011). Rockwell Automation’s holonic and multiagent control systems compendium. IEEE Transactions on Systems, Man, and Cybernetics – Part C: Applications and Reviews, 41(1).

Wasserman, A. (2022). ARTI-based holonic control implementation for a manufacturing system using the BASE architecture.