A hybrid decision support system for analyzing challenges of the agricultural supply chain

A hybrid decision support system for analyzing challenges of the agricultural supply chain
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农业供应链挑战分析的混合决策支持系统

DOI:
10.1016/j.spc.2018.11.007
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发表时间:
2019-04-01
影响因子:
12.1
通讯作者:
Narkhede, Balkrishna E.
Narkhede, Balkrishna E.
中科院分区:
环境科学与生态学2区
文献类型:
--
作者:
Gardas, Bhaskar B.;Raut, Rakesh D.;Narkhede, Balkrishna E.

文献摘要

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农业供应链管理包括将农业部门的产品从田间运输到客户的所有活动,是确保农业部门对国家经济增长做出巨大贡献的关键方面。本文的目的是增加价值,目前的知识基础,通过确定在印度的农业供应链的挑战的基础上,彻底的文献调查和德尔菲技术。在此之后,决策试验和评估实验室的方法被用来模拟识别的挑战,探索因果关系的相互关系,并通过解释性结构建模方法来开发系统的层次结构的挑战。在印度实施这一办法的结果是,有两个因素是最重要的,即国家农产品市场之间的一体化程度有限和农产品市场基础设施有限。作为本研究的一个产出,获得的综合模型旨在指导农业政策和决策者,以提高印度农业供应链的绩效。最后,对如何提高农产品供应链管理的效率提出了一些必要的建议。(C)2018化学工程师学会。Elsevier B.V.出版,保留所有权利。
Agricultural supply chain management includes all the events involved in moving products of the agricultural sector from the field to the customer, and is a crucial aspect ensuring the rich contribution of the agricultural sector to the economic growth of the nation. The purpose of this paper is to add value to the present knowledge base by ascertaining the challenges of the agricultural supply chain in India on the basis of a thorough literature survey and the Delphi technique. Following this, the decision-making trial and evaluation laboratory approach was used to model the identified challenges, explore the cause-effect interrelationship, and to develop the systematic hierarchical structures of challenges through an interpretive structural modeling methodology. The implementation of the approach in the Indian context led to the inference that two factors, namely limited integration among the national agricultural markets, and limited agricultural market infrastructure were the most important ones. The integrated model obtained as an output of this study intends to guide the agricultural policy- and decision-makers to improve the performance of the agricultural supply chain in India. Also, some essential recommendations have been given to improve the efficiency of the agricultural supply chain management. (C) 2018 Institution of Chemical Engineers. Published by Elsevier B.V. All rights reserved.