Analysis of operating effectiveness of a cold chain model using Bayesian networks

Purpose - Cold chain has become an integral part of the supply chain domain. The purpose of this paper is to consider all the significant factors in a single study. This will result into a better model to study the effectiveness of a cold chain because there has been absence of such an integrated study. Design/methodology/approach - The basis of the factors is justified by performing extensive literature review. Inter relations are drawn based on critical analysis of each factor and its implications on cold chain. Bayesian Network is used to develop the model. Findings - The end result is an established model, depicting the interdependencies of the factors. The model ultimately provides effectiveness of a given cold chain when the corresponding values of factors are put in. Practical implications - The findings will be helpful for government and non-government bodies to analyse the effectiveness of a cold chain. This can be used to increase the performance of different stages in the cold chain. From a business perspective, an investor can analyse the cold chains of various geographies in order to make an investment decision. Originality/value - The value lies in developing and introducing new factors which were not considered in the related literature previously. To identify the inter relations among the factors in order to build a causal model is another contribution of the present paper. This would assist in decision-making process with respect to any given cold chain. It can be applied to any cold chain as proposed model is not specific to a particular country or material.