Supply Chain Risk Analysis on Vending Machine Products (Study Case in XYZ Company)

Puti Sinansari, Nugroho Priyo Negoro, Muhammad Muadz Abdillah

Abstract


The development of business and technology ecosystems demands industry to always make adjustments. Supply chain changes become one that is certain to happen. This change process allows the company to manage and minimize risks. Therefore, it is necessary to apply good risk management to minimize the impact of risk. As one of the vending machine service companies in Indonesia, PT XYZ has a long supply chain, covering the production process, assembling, shipping and customer service. This research aims to identify risk events and risk agents and determine the priority of risk agents in the vending machine service company at PT XYZ. The design of this research uses the first stage House of Risk method to identify risk events and risk agents as well as determining the highest risk agent. Then the highest risk agent is ranked in Pareto diagram to determine risk agent priority. The prospect of this research will be an overview of the risks that may arise in the vending machine service company in Indonesia.


Keywords


⎯ House of Risk, Supply Chain Management, Risk Management, Vending Machine Business

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References


Arif, M. (2018). Supply Chain Management. Sleman: Deepublish.

Fan, Y., & Stevenson, M. (2018). A review of supply chain risk management: definition, theory, and research agenda. International Journal of Physical Distribution & Logistics Management.

Knolmayer, G. F., Mertens, P., Zeier, A., & Dickersbach, J. T. (2009). Supply Chain Management Based on SAP Systems Architecture and Planning Processes. Berlin: Springer.

Lipovetsky, S. (2009). Pareto 80/20 law: derivation via random partitioning. International Journal of Mathematical Education in Science and Technology, 40(2),, 271–277.

Oguzhan, K., & Erol, S. (2017). A Proactive Approach to Supply Chain Risk Management: Shifting Orders Among Suppliers To Mitigate The Supply Side Risks. Journal Of Purchasing & Supply Management, 23, 54-65.

Pujawan, I. N., & Geraldin, L. H. (2009). House of risk: a model for prosctive supply chain risk management. Business Process Management Journal, 953-967.

Sokovic, M., Pavletic, D., & Fakin, S. (2005). Application of Six Sigma methodology for process design. Journal of Materials Processing Technology, 162-163, 777-783.

Tang, O., & Musa, S. N. (2011). Identifying risk issues and research advancements in supply chain risk management. International Journal of Production Economics, 25-34.

Wagner, S., & Bode, C. (2009). Dominant risks and risk management practices in supply chains. Supply Chain Risk: A Handbook of Assessment, Management and Performance. New York: Springer, 271–290.

Yap, P. (2017). Panduan Praktis Manajemen Risiko Perusahaan. Jakarta: Growing Publishing.




DOI: http://dx.doi.org/10.12962/j24433527.v14i1.7966

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