期刊
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
卷 80, 期 -, 页码 1355-1371出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.rser.2017.05.259
关键词
Post-harvesting losses (PHL); Vegetable and fruit Supply Chains, Critical causal factors; Interpretive Structural Modeling (ISM) methodology
The crops of vegetables and fruits help farmers in generating employment, and increasing their income. This sector also provides nutritional security to the people in the remote as well as urban areas. The objective of this paper is to identify and model the causal factors of the post-harvesting losses in the Indian context. Through exhaustive literature survey and expert opinions, fourteen critical factors were identified, and the interpretive structural modeling (ISM) approach was used to establish an interrelationship among the defined factors and to determine the key criteria having high driving power. The research work is carried out in two parts, in Part-I inputs were taken from the experts of academia, and in Part-II inputs from the field experts were considered. Results obtained from both the cases were compared and discussed. After analyzing the factors, in two parts it was found that three factors, namely lack of linkages between industry, Government, and institution (B8), lack of technology and advanced technique in food processing (B10), and lack of linkage between farmers and processing unit (B6), were found to be the most significant factors. The developed ISM model is intended to guide the supply chain members at various stages and levels to achieve sustainability in social, economic, & ecological dimensions and increase efficiency of the vegetable and fruit supply chain by eliminating the crucial factors causing post-harvesting losses.
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