Proceedings of the 2019 1st International Conference on Engineering and Management in Industrial System (ICOEMIS 2019)

Identification of Risk Event of Mushroom Supply Chain in Langsa City by SCOR Method

Authors
Nurlaila Handayani, Yusnawati, Yusri Nadya
Corresponding Author
Nurlaila Handayani
Available Online November 2019.
DOI
10.2991/icoemis-19.2019.45How to use a DOI?
Keywords
Supply Chain Risk, SCOR, Event Risk
Abstract

Supply chain risk management is a series of activities that consist of identifying and managing supply chain risk with a coordinated approach among members of the supply chain, to reduce the disruption that occurs along the supply chain member. The negative impact of risk management can reduce company performance. Business people always try to improve company performance to meet customer satisfaction from suppliers, manufacturers and distributors. Suppliers function to supply raw materials, additives, auxiliary materials, and spare parts needed by producers, while producers function to produce goods and services (output), and function of distributors to distribute output to consumers at the right time. This activity is called the supply chain. The risks that occur along the supply chain must be eliminated so that the products needed by consumers can be fulfilled properly. This research was conducted on mushroom cultivation in the city of Langsa. This research aims to identify risk agents that occur along the mushroom supply chain. The method used is Supply Chain Operations Reference (SCOR). The steps of the research carried out are conducting observation and research of literature, identifying research problems, setting research objectives, collecting data, and analyzing problem solving. The results in this research were found 21 risk events that caused the supply of mushrooms not to be distributed to consumers properly. Of the 21 risk agents who have the most potential occurrence are 3 risk even, they aremushroom demand from customers is not stable, mushroom stock shortage, and retailer is not operating

Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2019 1st International Conference on Engineering and Management in Industrial System (ICOEMIS 2019)
Series
Advances in Intelligent Systems Research
Publication Date
November 2019
ISBN
10.2991/icoemis-19.2019.45
ISSN
1951-6851
DOI
10.2991/icoemis-19.2019.45How to use a DOI?
Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Nurlaila Handayani
AU  - Yusnawati
AU  - Yusri Nadya
PY  - 2019/11
DA  - 2019/11
TI  - Identification of Risk Event of Mushroom Supply Chain in Langsa City by SCOR Method
BT  - Proceedings of the 2019 1st International Conference on Engineering and Management in Industrial System (ICOEMIS 2019)
PB  - Atlantis Press
SP  - 329
EP  - 335
SN  - 1951-6851
UR  - https://doi.org/10.2991/icoemis-19.2019.45
DO  - 10.2991/icoemis-19.2019.45
ID  - Handayani2019/11
ER  -