Liesbetini Haditjaroko

Framework model of sustainable supply chain risk for dairy agroindustry based on knowledge base

The objective of this paper was to develop a framework model for sustainable supply chain risk for dairy industry based on knowledge base. It presented a conceptual framework with integrated risk supply chain and knowledge base systems. The critical point of dairy located on the product which has the characteristic easy damage. Risk-damaged dairy contaminated with bacteria due to improper handling of dairy. Risk occurred in each activity in the supply chain network ranging from farmer, cooperative and dairy processing industry. The structured approach of supply chain risk divided into the phases of risk identification, risk measurement and risk assessment, risk evaluation and risk mitigation and contingency plans; and risk control and monitoring system based on knowledge base system. Adding Knowledge base component to risk supply chain will produce the following process: knowledge base risk capture, knowledge base risk discovery, knowledge base risk examination, knowledge base risk sharing, knowledge base risk evaluation and knowledge base risk repository. The relationship between risk factor, risks and their consequences are represented on Failure Mode and Effect Analysis (FMEA) and Hierarchical Risk Breakdown Structure (HRBS). Likelihood of risk event occurring, the level of dependence between risks and severity of risk event are quantified using linguistic variables and fuzzy logic. The proposed system was designed by Intelligent Decision Support System (IDSS). The design of this model was able to improve the effectiveness of decision-making with regard to the organization of knowledge, storage and sharing of knowledge in the agro-industry supply chain risks dairy.

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.