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Agro-Food Supply Chain Risk Assessment: A Review Based on Technique and Approach

Journal of Applied Engineering and Technological Science (JAETS) · Vol. 5 No. 2 (2024) · hlm. 892–908

DOI
10.37385/jaets.v5i2.3688
ISSN
2715-6079, 2715-6087
Terbit
2024-06-06
Penerbit
Yayasan Riset dan Pengembangan Intelektual (YRPI)
Bahasa
en

Abstrak

Risk assessment in agro-food supply chains is crucial in managing the complexity and uncertainty associated with food product production, distribution, and consumption. This study aims to classify risks and mapping techniques or approaches used in risk assessment of agro-food product supply chains. Mapping technique or approaches to risk assessment of agro-food supply chains was carried out based on the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) framework, which consists of several stages of identification, screening eligibility, and inclusion, resulting in a total of 72 relevant journal articles. They were selected from 58 different journals with high-impact factors and rankings. The literature review results show that agro-food's supply chain risk classification has much to do with risk assessment: macro-level risk, operational risk outside the company, and internal risk. Furthermore, the most studied agro-food products are general food (44%), horticultural products (28%), meat products (11%), dairy products (10%), fishery products (6%) and bread products (1%). The techniques and approaches most widely used in assessing the risk of the agro-food supply chain are semi-quantitative (49.3%), quantitative (31.5%), mixed (12.3%), and qualitative (6.9%). A better knowledge of the topic being addressed in the research community is sped up by identifying these techniques and approaches since the literature on supply chain risk management for agro-food is voluminous, complicated, and challenging to grasp.

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23 penulis · 50 tautan kepenulisan bersama · 12 lintas organisasi

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  • IPB University
  • Universitas Pattimura
  • Universitas Dian Nuswantoro
  • Universitas Jayabaya
  • Politeknik Negeri Pontianak
  • Afiliasi tidak diketahui
  • Organisasi berbeda
  • Organisasi sama
  • Afiliasi tidak diketahui
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Tampilkan sebagai tabel
Rekan penulisOrganisasiArtikel bersama
Marimin MariminIPB University2
Suprihatin SuprihatinIPB University2
Rindra YusiantoUniversitas Dian Nuswantoro1
Nurul UmmiIPB University1
Erliza NoorIPB University1
Yeti WidyawatiUniversitas Jayabaya1
Ani SuryaniIPB University1
Sukardi SukardiIPB University1
Eka Intan Kumala PutriIPB University1
Santun R.P. SitorusIPB University1
Lalitya NarieswariIPB University1
‪Tati NurhayatiIPB University1
Untung Trimo LaksonoPoliteknik Negeri Pontianak1
Machfud MachfudIPB University1
Endang WarsikiIPB University1
Hayu KartikaIPB University1
SuprihatinAfiliasi tidak diketahui1
S. AzmiAfiliasi tidak diketahui1
Nastiti Siswi IndrastiIPB University1

Afiliasi berasal dari OpenAlex; metadata OAI-PMH jurnal tidak memuatnya. Penulis tanpa ID OpenAlex dicocokkan berdasarkan nama, sehingga dua orang bisa tergabung atau satu orang bisa terpisah.

Sumber metadata: OAI-PMH (metadata jurnal) https://journal.yrpipku.com/index.php/jaets/oai, pertama di-harvest 9 Nov 2026, terakhir terlihat 9 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en">Agro-Food Supply Chain Risk Assessment: A Review Based on Technique and Approach </dc:title>
	<dc:creator xml:lang="en">Paillin, Daniel Bunga</dc:creator>
	<dc:creator xml:lang="en">Machfud, Machfud</dc:creator>
	<dc:creator xml:lang="en">Hardjomidjojo, Hartrisari</dc:creator>
	<dc:creator xml:lang="en">Romli, Muhammad</dc:creator>
	<dc:subject xml:lang="en">Supply Chain Risk</dc:subject>
	<dc:subject xml:lang="en">Risk Assessment</dc:subject>
	<dc:subject xml:lang="en">Agro-Food</dc:subject>
	<dc:subject xml:lang="en">Technique and Approaches</dc:subject>
	<dc:subject xml:lang="en">Literature Review</dc:subject>
	<dc:description xml:lang="en">Risk assessment in agro-food supply chains is crucial in managing the complexity and uncertainty associated with food product production, distribution, and consumption. This study aims to classify risks and mapping techniques or approaches used in risk assessment of agro-food product supply chains. Mapping technique or approaches to risk assessment of agro-food supply chains was carried out based on the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) framework, which consists of several stages of identification, screening eligibility, and inclusion, resulting in a total of 72 relevant journal articles. They were selected from 58 different journals with high-impact factors and rankings. The literature review results show that agro-food's supply chain risk classification has much to do with risk assessment: macro-level risk, operational risk outside the company, and internal risk. Furthermore, the most studied agro-food products are general food (44%), horticultural products (28%), meat products (11%), dairy products (10%), fishery products (6%) and bread products (1%). The techniques and approaches most widely used in assessing the risk of the agro-food supply chain are semi-quantitative (49.3%), quantitative (31.5%), mixed (12.3%), and qualitative (6.9%). A better knowledge of the topic being addressed in the research community is sped up by identifying these techniques and approaches since the literature on supply chain risk management for agro-food is voluminous, complicated, and challenging to grasp.</dc:description>
	<dc:publisher xml:lang="en">Yayasan Riset dan Pengembangan Intelektual (YRPI)</dc:publisher>
	<dc:date>2024-06-06</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.yrpipku.com/index.php/jaets/article/view/3688</dc:identifier>
	<dc:identifier>10.37385/jaets.v5i2.3688</dc:identifier>
	<dc:source xml:lang="en">Journal of Applied Engineering and Technological Science (JAETS); Vol. 5 No. 2 (2024): Journal of Applied Engineering and Technological Science (JAETS); 892-908</dc:source>
	<dc:source>2715-6079</dc:source>
	<dc:source>2715-6087</dc:source>
	<dc:source>10.37385/jaets.v5i2</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://journal.yrpipku.com/index.php/jaets/article/view/3688/2915</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2024 Journal of Applied Engineering and Technological Science (JAETS)</dc:rights>
</oai_dc:dc>