因素决定与逆向物流模型:理论与实践

S. Aćimović, Veljko M. Mijušković, I. Herceg
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引用次数: 0

摘要

逆向物流管理几十年来一直是科学界和实务界关注的课题。在过去的十年里,由于受其影响的商业实体数量不断增加,以及对充分管理逆向物流的战略潜力的深入了解,人们对这一主题产生了额外的兴趣。到目前为止,关于逆向物流管理的实践研究和实证证实还很少,关于确定要素(即决定逆向物流流动的因素)的问题也没有完全的答案。随着时间的推移,各种作者试图通过制定某些指导方针和模型来解决这个问题,这些指导方针和模式全面显示了被认为对实现逆向物流至关重要的因素。本文的主题是深入分析这些现有的模型。在定义了逆向物流这一术语之后,对动态时间分量进行了模型分析,首先重点研究了这一领域的理论模型Carter-Ellram模型,然后对当代逆向物流模型进行了实证验证。本文的目的有三个。首先,阐释逆向物流的涵义演变。其次,对两种方法进行修订,这两种方法最全面地定义了逆向物流管理中最重要的一组因素。第三,有必要将理论模型中确定的因素与经验产生的因素进行比较,以了解它们之间的相似之处和某些差异。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
FACTOR DETERMINATION AND REVERSE LOGISTICS MODELLING: THEORY VS. PRACTICE
Reverse logistics management has been the subject of scientific and practical attention for a few decades now. An additional interest for this topic has arisen during the last decade, due to a growing number of business entities it affects and the insight into the strategic potential of adequately managing the reverse logistics flows. Up to now, practical research and empirical confirmation regarding reverse logistics management has been scarce, and the question of defining elements, i.e. factors which determine the reverse logistics flows has remained without a complete answer. In time, various authors have tried to solve this question by setting certain guidelines and models which comprehensively show factors considered to be of key importance for the realization of the reverse logistics flows. The subject of this paper is to analyze in depth such existing models. After defining the very term of reverse logistics, the carried out model analysis respects the dynamic time component, first focusing on the theoretical model in this areathe Carter-Ellram model, and later on to the one empirically confirmedthe contemporary reverse logistics model. The aim of this paper is threefold. First, to explain the evolution of the meaning of reverse logistics. Second, to revise the two approaches which most comprehensively define the set of factors considered to be of most importance for the reverse logistics management. Thirdly, it is necessary to compare the factors identified within the theoretical model, with the ones generated empirically, in order to see the similarities and certain differences among them.
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