Author:
Zhang Hao,Qiu Bin,Zhang Keming
Abstract
Purpose
The purpose of this paper is to develop a quantitative risk assessment method for agricultural products cold chain logistics to assess the condition of the fresh agricultural products cold chain process objectively and accurately.
Design/methodology/approach
A risk assessment index system of agricultural products cold chain logistics is designed on the basis of the risk identification for the process of agricultural products cold chain logistics. This paper first uses catastrophe progression method and a new maximum deviation method to build an improved catastrophe progression assessment model for agricultural products cold chain logistics. In order to verify the reliability and validity of the model, two representative enterprises are selected as the case in the study.
Findings
The results in the empirical research indicate strong support for the assessment model and coincide with the reality. The risk assessment index system can also reflect the key risk factors from agricultural products cold chain logistics scientifically. In addition, the improved catastrophe progression assessment method proposed in this paper can be scientific and reasonable to predict risk.
Research limitations/implications
This paper contributes to provide a new risk assessment model for agricultural products cold chain logistics. The new model overcomes the limitation of subjective empowerment and it increases the objectivity and scientificity in the process of cold chain logistics risk assessment. This paper also shows that practitioners involved in the field of products cold chain logistics can manage the potential risk by a set of scientific methods for assessing the risk before the accident.
Practical implications
The paper provides a practical guideline to practitioners, especially for cold chain logistics managers, relevant management departments, and cold chain logistics management consultants. It is proved that the new risk assessment method and the risk assessment index system of agricultural products cold chain logistics can help them assess the risk scientifically and reasonably.
Originality/value
Although the calculation is simple, the new model can overcome the limitation of subjective empowerment scientifically and reasonably, and thus has important practical value.
Subject
Industrial and Manufacturing Engineering,Strategy and Management,Computer Science Applications,Industrial relations,Management Information Systems
Reference31 articles.
1. RFID smart tag for traceability and cold chain monitoring of foods: demonstration in an intercontinental fresh fish logistic chain;Journal of Food Engineering,2009
2. The spread of marine non-indigenous species via recreational boating: a conceptual model for risk assessment based on fault tree analysis;Ecological Modelling,2009
3. A wireless sensor network for cold-chain monitoring;IEEE Transactions on Instrumentation & Measurement,2009
4. Improvement in fresh fruit and vegetable logistics quality: berry logistics field studies;Philosophical Transactions of the Royal Society a Mathematical Physical & Engineering Sciences,2014
5. A fuzzy model for failure risk in water-pipe networks analysis;Ochrona Srodowiska,2011
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