Risk dependency chain model of dairy agro-industry supply chain using fuzzy logic approach

ABSTRACT

The risks involved in dairy agro-industry supply chain network related to one another and impact on the overall supply chain performance. The purpose of the present study is to establish risk dependency chain model of dairy agro-industry supply chain using fuzzy logic approach. Risk dependency chain model was built from two main phases of risk management, i.e. risk identification and risk assessment. The hierarchy of risks made, serves as a risk level that shows the correlation of risks and risk factors and consequences. The result of that design showed four associated risks: those related to the decreasing amount of dairy production, the decreasing dairy quality, the financial loss due to negligence and fraud and the late dairy delivery to dairy processing industry. The risk mitigation suggested is the structural agency analysis for dairy cattle recording system implementation using the interpretative structural modelling.

KEYWORDS::

• Supply chain in dairy agro-industry
• risk dependency chain
• fuzzy logic

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Notes on contributors

Winnie Septiani

Winnie Septiani is a lecturer at the Department of Industrial Engineering, Trisakti University, and Head of Computer Simulation Practicum. She is the best graduate in magister science of Bogor Agricultural University in 2006. She earned her Ph.D. from the Department of Agro-industrial Technology, Faculty of Agricultural Technology, Bogor Agricultural University. She is also concentrating on studies of risk management, supply chain, fuzzy logic approach and dairy agroindustry.

Marimin

Marimin is a professor of systems engineering at Agroindustrial Technology Department of Bogor Agricultural University (IPB). He has more than 25 years of teaching, research and hands-on experience in the fields of Decision Analysis, Operation Research, Quantitative Business Analysis, Decision Support System, Management Information Systems, Intelligent and Expert Systems, Sustainable Development and Production and Operation Management. During his tenure, he has worked for both private and public sectors in government, corporate, and educational environments, including facilitating workshops and training. He is also an active member of the Institute of Electrical and Electronic Engineers (IEEE). Marimin has authored more than 80 systems engineering and management articles in leading international journals and conferences and has published 6 books, including: Expert Systems Application, Multi-criterion Decision Making, Decision Making Application in Supply Chain Management, Human Resource Management Information System, and Green Productivity for Agroindustry. He earned his B.Sc. Honours in Industrial Engineering from IPB of Bogor, an M.Sc. in Computer Science from the University of Western Ontario, Canada, and a Ph.D. in System Engineering from Osaka University, Japan.

Yeni Herdiyeni

Yeni Herdiyeni is a lecturer at the Department of Computer Science, Faculty of Mathematics and Natural Sciences, Bogor Agricultural University. She earned a Ph.D. in Computer Science with the dissertation on “Semantic Image Similarity using Tree” from the University of Indonesia (2010). Then she did postdoctoral research at the Department of Information Science, Graduate School of Science and Engineering, Saga University, Japan, for 5 months (September–January 2012). She earned a master’s degree in Computer Science from the University of Indonesia with the thesis on “3D Face Recognition” (2005). She obtained her first degree in Computer Science from Bogor Agricultural University (IPB), Indonesia (1999). Her research interests are decision support system, expert system, digital image processing and biodiversity informatics.

Liesbetini Haditjaroko

Liesbetini Haditjaroko is a lecturer at the Department of Agroindustrial Technology, Faculty of Agricultural Technology and Engineering, Bogor Agricultural University. She earned a bachelor’s degree in Agricultural Products Technology from Bogor Agricultural University, a master’s degree in Chemical Engineering from the Institute of Technology Bandung and S3 degree in Agroindustrial Technology from Bogor Agricultural University, Indonesia. Her research focuses on bioprocess technology/fermentation technology and process development of agricultural products.