Mapping Risks of Indonesian Tuna Supply Chain

International Conference on Industrial and Systems Engineering 2017

Karningsih, P.D.^1,3 ; Anggrahini, D.^1,3 ; Kurniati, N.^1,3 ; Suef, M.^1,3 ; Fachrur, A.R.^1,3 ; Syahroni, N.^2,3

Manufacturing System Laboratory, Industrial Engineering Department, Institut Teknologi Sepuluh Nopember, Kampus ITS, Sukolilo-Surabaya

60111, Indonesia^1

Ocean Engineering Department, Institut Teknologi Sepuluh Nopember, Kampus ITS, Sukolilo-Surabaya

60111, Indonesia^2

Marine Research Centre, Institut Teknologi Sepuluh Nopember, Kampus ITS, Sukolilo-Surabaya

60111, Indonesia^3

关键词: Economic values;    External environments;    Indonesians;    Potential risks;    Risk factors;    Supply chain operation;    Supply chain risk;    Supply fluctuations;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/337/1/012035/pdf
DOI  :  10.1088/1757-899X/337/1/012035

来源: IOP

【 摘 要 】

Due to its high economic value and is produced by many countries, Tuna is considered as one of the world's popular fish. Demand for Tuna species are very high and it usually sells in three form: fresh, frozen or canned. Competition in Tuna trading is challengin with the potential risk of price and supply fluctuations. With recent focus of Indonesia government that see the future of Indonesia civilization depend on the oceans and as the three biggest Tuna producing country, Ministry of Marine Affairs and Fisheries should ensure sustainability and competitiveness of Indonesian tuna. Therefore, there is a great need to develop a proper and effective strategy to manage potential risks in Indonesian Tuna supply chain. This paper is aimed at identifying and mapping potential Tuna supply chain risks and its interrelationships that would assist government in determining proper strategies to manage Indonesian Tuna. A framework for identifying Tuna supply chain risks is proposed. Generic risk structure of Supply Chain Risk Identification System is adopted and modified to match with particular object, which is Indonesian Tuna. The proposed model consists of hierarchical and causal structure that encompass potential risks of Tuna supply chain operations from fishing, trading, processing and distribution. The causal structure consist of risk events and its risk agents which is the cause of risk events. To ensure the root cause of risk events are identified properly, five why's analysis is utilized to obtain risk agents. This proposed model also captures risk interrelationship between internal and external environment of Tuna supply chain. Preliminary result of this study identifies 15 risk events and 13 risk factors on fishing and trading operations and maps their interrelationships.