INVESTIGATING EFFICIENCY OF MATERIALS MANAGEMENT AT ORIGINAL EQUIPMENT MANUFACTURER (OEM)

Authors

  • Zsa Zsa Nura’in Hassan Murshid Faculty of Manufacturing and Mechatronic Engineering Technology, Universiti Malaysia Pahang, 26600 UMP Pekan, Pahang, Malaysia
  • Siti Zubaidah Ismail Faculty of Manufacturing and Mechatronic Engineering Technology, Universiti Malaysia Pahang, 26600 UMP Pekan, Pahang, Malaysia

DOI:

https://doi.org/10.15282/jmmst.v6i2.8559

Keywords:

Material Management, Original Equipment Manufacturing, Microsoft Excel Macro

Abstract

Original Equipment Manufacturer (OEM) businesses always facing a challenge in managing the material effectively and efficiently. The aim of this  is to identify, analyse and improve the Efficiency of Materials Management at Original Equipment Manufacturer (OEM) company. There are two materials management problems: stock-out and overstock, occur frequently in the OEM company. Data collection is through the observation and interviews with the top manager and other staff involved in materials management operations. Secondary data is retrieved from the related information on materials management. The collected data were categorised using IDEF0 and the development of the inventory control system used MS Excel Macro. The outcome of this research is a computerised material management system that is beneficial and essential for material management efficiency.

References

Ahmed, M. B., Majeed, F., Sanin, C., & Szczerbicki, E. (2021). Experience-Based Product Inspection Planning for Industry 4.0. Cybernetics and Systems, 52(5), 296–312. https://doi.org/10.1080/01969722.2020.1871222.

Albert, I., Shakantu, W., & Ibrahim, K. (2018). Impact of Materials Management Practices in the Nigerian Building Construction Industry. Journals.Co.Za, June 2018, 1–10. https://journals.co.za/content/journal/10520/EJC-10a4fa1750crawler=true&mimetype=application/pdf.

Ammar, M., Haleem, A., Javaid, M., Walia, R., & Bahl, S. (2021). Improving material quality management and manufacturing organizations system through Industry 4.0 technologies. Materials Today: Proceedings, 45, 5089–5096. https://doi.org/10.1016/j.matpr.2021.01.585

Barletta, I., Despeisse, M., Hoffenson, S., & Johansson, B. (2021). Organisational sustainability readiness: A model and assessment tool for manufacturing companies. Journal of Cleaner Production, 284. https://doi.org/10.1016/j.jclepro.2020.125404

Bauzon, J., Murphy, C., & Wahi-Gururaj, S. (2021). Using macros in microsoft excel to facilitate cleaning of research data. Journal of Community Hospital Internal Medicine Perspectives, 11(5), 653–657. https://doi.org/10.1080/20009666.2021.1954282

Cano, J. A., Gomez-Montoya, R. A., Cortes, P., & Campo, E. A. (2021). Mrp systems considering fuzzy capacity, lead times and inventory availability. International Journal of Simulation Modelling, 20(1), 29–39. https://doi.org/10.2507/IJSIMM20-1-538

Daniel, C. O. (2019). Effects of Materials Management on the Productivity of an Organisation. World Journal of Innovative Research (WJIR), 6(1), 16–22. https://www.researchgate.net/publication/342069034_materials_management

Das, S., Al-Amin Khan, M., Mahmoud, E. E., Abdel-Aty, A. H., Abualnaja, K. M., & Akbar Shaikh, A. (2021). A production inventory model with partial trade credit policy and reliability. Alexandria Engineering Journal, 60(1), 1325–1338. https://doi.org/10.1016/j.aej.2020.10.054

Donyavi, S., & Flanagan, R. (2009). The impact of effective material management on construction site performance for small and medium sized construction enterprises. Association of Researchers in Construction Management, ARCOM 2009 - Proceedings of the 25th Annual Conference, September 2009, 11–20.

Duong, L. N. K., Wang, J. X., Wood, L. C., Reiners, T., & Koushan, M. (2021). The value of incremental environmental sustainability innovation in the construction industry: an event study. Construction Management and Economics, 39(5), 398–418. https://doi.org/10.1080/01446193.2021.1901950

Hasheminejad, S. A., Valipour, K., & Khoshnood, H. (2021). Applied real-valued genetic algorithm for an extended model of economic lot, purchase and delivery scheduling problem. International Review of Applied Sciences and Engineering. https://doi.org/10.1556/1848.2021.00334 [12] Muda, I., Putra, K. B., & Dachi, V. N. (2021). Management material as a core of supply chain management. 2(1), 322–324.

Patil, A. R., & Pataskar, S. V. (2013). Analyzing Material Management Techniques on Construction Project. International Journal of Engineering and Innovative Technology, 3(4), 96–100

Govindaiah, S., & Petty, M. D. (2021). Applying reinforcement learning to plan manufacturing material handling. In Discover Artificial Intelligence (Vol. 1, Issue 1). Springer International Publishing. https://doi.org/10.1007/s44163-021-00003-3

Joshi, B. R., & Gupta, A. R. (2021). View of Comparitive analysis of inventory control techniques in the construction project. Natural Volatiles & Essential Oils, 8(5), 12755–12762. https://www.nveo.org/index.php/journal/article/view/3981/3280

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Published

30-09-2022

How to Cite

Hassan Murshid, Z. Z. N., & Ismail, S. Z. (2022). INVESTIGATING EFFICIENCY OF MATERIALS MANAGEMENT AT ORIGINAL EQUIPMENT MANUFACTURER (OEM). Journal of Modern Manufacturing Systems and Technology, 6(2), 18–25. https://doi.org/10.15282/jmmst.v6i2.8559

Issue

Vol. 6 No. 2 (2022): September

Section

Articles

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Copyright (c) 2022 University Malaysia Pahang Publishing

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