Managing quality risk in a frozen shrimp supply chain : a case study

被引:10
作者
Anggrahini, Dewanti [1 ]
Karningsih, Putu Dana [1 ]
Sulistiyono, Martian [1 ]
机构
[1] Inst Teknol Sepuluh Nopember, Dept Ind Engn, Keputih Sukolilo Surabay 60111, Indonesia
来源
INDUSTRIAL ENGINEERING AND SERVICE SCIENCE 2015, IESS 2015 | 2015年 / 4卷
关键词
ARP; frozen shrimp; HOR; 1; 2; quality risk management; SCOR; supply chain;
D O I
10.1016/j.promfg.2015.11.039
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Frozen shrimp is a product that is very sensitive to temperature changing, therefore its quality has to be carried out from the supplier to customer stage. Quality itself consists of product hygiene and freshness as a healthy food. Company X as a frozen shrimp manufacturer faces quality losses of the product, which often caused by both production process and external factors. The accuracy of supplied shrimp specification and unpredictable supply demand pattern influence losses. This research analyse the quality problems of frozen shrimp product along its supply chain, involving supplier, Company X, logistic provider and customer. Firstly, all the activities are mapped by using Supply Chain Operations Reference (SCOR) model. Supply chain activities are divided into five categories namely plan, source, make, deliver and return. Secondly, potential quality risks are analyzed in a House of Risk 1 (HOR-1). Furthermore, some mitigation actions are deployed, then being analyzed by using HOR-2. Lastly, 41 risk occurance and 52 risk agents are identified. Regarding to the result of risk analysis, there are 11 most critical risk agents which is derived from the highest Aggregate Risk Potential (ARP). According to the selection analysis, there are 12 proposed mitigation actions to be implemented in Company X. (C) 2015 The Authors. Published by Elsevier B.V.
引用
收藏
页码:252 / 260
页数:9
相关论文
共 18 条
[1]  
Ambara S., 2014, POTENSI KELAUTAN PER
[2]  
Australian Government Department of Health and Ageing (NICNAS), 2009, 32 AUSTR GOV DEP HLT, P1
[3]  
Australian New Zealand Standard, 2004, RISK MAN
[4]  
Christopher M., 2003, Creating resilient supply chains: a practical guide
[5]  
Fahmi B., 2007, MANAJEMEN RISIKO
[6]  
Geraldin L. H., 2009, BUSINESS PROCESS MAN, V15, P963
[7]   A stochastic model for risk management in global supply chain networks [J].
Goh, Mark ;
Lim, Joseph Y. S. ;
Meng, Fanwen .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2007, 182 (01) :164-173
[8]  
Kasidi, 2010, MANAJEMEN RISIKO
[9]  
LNS Research, 2013, INT RISK QUAL MAN LI
[10]  
Paonangan Y., 2014, POTENSI LAUT INDONES