Modeling the causes of food wastage in Indian perishable food supply chain
Modeling the causes of food wastage in Indian perishable food supply chain
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DOI：
10.1016/j.resconrec.2016.07.016
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发表时间：
2016-11-01
影响因子：
13.2
通讯作者：
Arshinder, K.
中科院分区：
文献类型：
--
作者：
Balaji, M.;Arshinder, K.
在印度等新兴市场，易腐新鲜水果和蔬菜供应链从收获阶段到到达消费者手中的浪费非常高。在分析这方面粮食损失的因果因素方面，研究不够。本研究旨在确定食物浪费的原因，以及这些原因的驱动力和依赖性，并分析它们之间的相互作用。这项工作提出了使用模糊MICMAC和全解释结构建模（TISM）为基础的方法，这是一个新的努力，在这一领域，研究的相互作用。基于文献回顾和食品行业和学术界专家的头脑风暴，本研究确定了16个变量作为食物浪费的因果因素的超集，这些变量可以代表其中的所有其他原因。研究发现，缺乏科学的收获方法和大量的中间环节具有很高的驱动力，可以认为是粮食损失的根本原因。这项工作将原因分为几个层次，给出了一个关于比其他人需要更多关注的原因的想法。因此，它为如何提高食品供应链的效率，竞争力和盈利能力提供了实用的见解。对于印度这样的发展中国家来说，除了经济之外，它对粮食安全和环境资源保护的影响更大。这项工作可以被供应链设计者、管理者和政策制定者利用。(C)2016爱思唯尔B.V.保留所有权利。
Wastage in the perishable fresh produce fruits and vegetables supply chain from harvesting stage till it reaches the consumer is very high in emerging markets like India. Studies are inadequate in analysing the causal factors of food losses in this context. This study intends to identify the causes of food wastage, as well as the driving power and dependence of these causes and to analyse the interactions among them. This work proposes to use fuzzy MICMAC and total interpretive structural modeling (TISM) based approach which is a novel effort in this sector, to study the interactions. Based on review of literature and brainstorming among experts in the food industry and academia, this study identified 16 variables as the super-set of causal factors of food wastage which can represent all other causes within them. It is found that the lack of scientific methods in harvesting and a large number of intermediaries in the chain have high driving power and can be considered as the root causes of the food losses. This work categorises the causes into several levels that give an idea regarding the cause which needs more attention than others. Thereby it provides practical insights into how to improve efficiency, competitiveness, and profitability of the food supply chains. For a developing country like India, in addition to the economy, it can have greater implications on food security and conservation of environment resources. This work can be utilized by supply chain designers, managers, and policy makers. (C) 2016 Elsevier B.V. All rights reserved.