Journal Industrial Servicess
Vol 9, No 2 (2023): October 2023

Application of house of risk to analyze supply chain risks in MSMEs (food processing industry)

Wahyuni, Nuraida (Universitas Sultan Ageng Tirtayasa)
Trenggonowati, Dyah Lintang (Universitas Sultan Ageng Tirtayasa)
Ibrahim, Maulana Malik (Universitas Sultan Ageng Tirayasa)
Anggraeni, Shanti Kirana (Universitas Sultan Ageng Tirtayasa)
Ekawati, Ratna (Universitas Sultan Ageng Tirtayasa)
Febianti, Evi (Universitas Sultan Ageng Tirtayasa)



Article Info

Publish Date
28 Nov 2023

Abstract

Supply chain risk management plays a pivotal role for businesses, regardless of their size—be it large industries or Micro, Small, and Medium Enterprises (MSMEs). Even in MSMEs, supply chain risk management is crucial to mitigate potential risks stemming from various events. Consider BS, an MSME producing bread in Cilegon city, established in 2020, aspiring for market expansion. However, BS faces internal challenges such as fluctuating flour availability, recurring machine breakdowns twice a month, and consumer returns due to order discrepancies. Thus, this study aims to analyze supply chain risks to proactively prevent these recurrent events. The method employed here is the House of Risk. Through data processing, 32 risk events were identified by mapping supply chain activities based on the SCOR principle. From these events, 18 risk agents were derived, highlighting critical areas that require resolution. Employing a Pareto diagram, six priority risk agents have been identified for immediate resolution.

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Journal Info

Abbrev

jiss

Publisher

Subject

Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Industrial & Manufacturing Engineering Mechanical Engineering Transportation

Description

Jurnal Industrial Servicess merupakan wadah bagi peneliti untuk publikasi jurnal hasil penelitian yang ruang lingkupnya melingkupi: Logistics & Supply Chain Management Operations Research Quality, Reliability, and Maintenance Management Data Mining & Artificial Intelligence Production Planning & ...