Modelling the distribution performance in dairy industry: A predictive analysis

IF 16.4 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY

Accounts of Chemical Research Pub Date : 2021-09-30 DOI:10.17270/j.log.2021.609

R. Mor, A. Bhardwaj, Sarbjit Singh, S. Khan

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引用次数: 6

Abstract

. Background: Predictive analysis is a vital element to operations management as it facilitates real-time decision making and advanced planning on both strategy and performance. This paper identifies predictors to measure distribution performance in the dairy industry and to establish their importance. Methods: A distribution model is developed through exploratory structural equation modelling (SEM) techniques. The key performance predictors are marketing and distribution management, quality management, supply chain coordination, and brand management, which account for 71.5% of the variability in distribution performance. Results and conclusion : The predictors help improving the distribution performance, specifically in quality, order fill rate, and food safety. The outcomes of this research can help dairy professionals in managing their distribution channels, improving traceability, on-time delivery, and shipment accuracy. Consequently, these factors can improve distribution performance. Four predictors are elicited from the data to estimate the distribution performance and the relative importance of predictors is also established. analysis.

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乳品行业分销绩效建模:预测分析

．背景:预测分析是运营管理的重要组成部分，因为它有助于对战略和绩效进行实时决策和高级规划。本文确定预测指标，以衡量分布绩效在乳品行业，并建立其重要性。方法:利用探索性结构方程建模(SEM)技术建立分布模型。主要的绩效预测因子是营销和分销管理、质量管理、供应链协调和品牌管理，占分销绩效变异性的71.5%。结果与结论:预测因子有助于提高配送绩效，特别是在质量、订单填充率和食品安全方面。这项研究的结果可以帮助乳品专业人员管理他们的分销渠道，提高可追溯性，准时交货和发货准确性。因此，这些因素可以改善分销性能。从数据中推导出四个预测因子来估计分布性能，并建立了预测因子的相对重要性。分析。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Accounts of Chemical Research 化学-化学综合

CiteScore

31.40

自引率

1.10%

发文量

312

审稿时长

2 months

期刊介绍： Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.