Impacts of adaptive collaboration on demand forecasting accuracy of different product categories throughout the product life cycle
Impacts of adaptive collaboration on demand forecasting accuracy of different product categories throughout the product life cycle
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自适应协作对整个产品生命周期中不同产品类别的需求预测准确性的影响
DOI：
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发表时间：
2015
期刊：
影响因子：
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通讯作者：
M. Lassagne
中科院分区：
文献类型：
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作者：
M. Nagashima;Frederick T. Wehrle;L. Kerbache;M. Lassagne
目的-本文旨在实证分析如何适应性合作在供应链管理中的影响需求预测准确性，在短生命周期的产品，根据合作强度，产品生命周期阶段，零售商类型和产品类别。设计/方法/方式-作者组装了一个数据集的预测和销售的169静止相机型号，由同一制造商和三个不同的零售商在法国销售超过五年。以协同计划预测和补货水平为编码，采用方差分析和有序特征评价分析（OFEA）对各变量的主效应和特定交互效应进行分析。结果-研究结果提供实证支持的长期假设，即供应链合作强度增加需求预测的准确性和产品成熟度也增加预测的准确性，即使在短生命周期的产品。此外，调查结果表明，它是特殊的...
Purpose – This paper aims to empirically analyze how adaptive collaboration in supply chain management impacts demand forecast accuracy in short life-cycle products, depending on collaboration intensity, product life-cycle stage, retailer type and product category. Design/methodology/approach – The authors assembled a data set of forecasts and sales of 169 still-camera models, made by the same manufacturer and sold by three different retailers in France over five years. Collaboration intensity, coded by collaborative planning forecasting and replenishment level, was used to analyze the main effects and specific interaction effects of all variables using ANOVA and ordered feature evaluation analysis (OFEA). Findings – The findings lend empirical support to the long-standing assumption that supply chain collaboration intensity increases demand forecast accuracy and that product maturation also increases forecast accuracy even in short life-cycle products. Furthermore, the findings show that it is particular...