一种基于时尚指数的服装供应链动态定价策略

由于服装产品的市场需求受时尚性影响很大,为帮助企业更准确地预测市场需求信息,采取不同的优化定价策略,运用主成分分析方法探讨服装产品的时尚指数评估方法;建立市场需求量模型,探讨需求量与产品价格和价值相关情况下,市场随时尚指数变化的情况;建立基于时尚指数的销售商优化定价模型,通过销售商的期望利润得出最优零售定价策略。在此基础上,进一步考虑供应商最终交付量与期望量的差别,探讨供应链优化利润模型,并通过数据模拟说明基于时尚指数的优化定价策略能够改善供应链的利润。研究表明,对于服装这种与时尚性直接相关的产品,考虑时尚指数的定价策略更为合理。     

零售商主导的闭环供应链研究

为分析研究风险特性对闭环供应链的影响,对以零售商为Stackelberg领导的闭环供应链进行研究,构建第三方回收的集中式决策和分散决策模型。得出了闭环供应链各参与方的风险规避程度对其定价决策和期望利润的影响,并利用数值分析对求解结果进行了验证。     

零售商主导的二级供应链联合定价协调模型研究

零售商主导型供应链作为一种新兴的供应链模式越来越受到大家的关注。文章引入促销费用对市场需求的影响,在制造商和零售商共同分担促销费用的情况下,通过独立决策和联合决策2种决策方法,运用博弈理论进行求解,得出完全信息条件下双方的均衡结果及利润。通过2种决策下的结果比较,得出联合决策下系统利润明显提高,依据双方对供应链联盟的贡献,给出了系统增益在2者之间的协调方法,实现了共赢。图2参10     

预售模式下时尚服装双渠道供应链优化模型

为有效降低库存,将预售策略引入到时尚服装双渠道供应链网络。设计预售阶段需求函数,并分析该策略下预售阶段时尚服装需求对正常销售阶段需求的影响;考虑产品生产、运输、存储及广告宣传等成本,建立了包含生产商、分销商和零售商在内的双渠道供应链网络混合整数规划模型,并应用Lingo11.0软件设计算法程序求解。通过算例仿真验证了预售策略对正常销售阶段的需求预测具有良好效果,可有效减少库存成本及缺货损失;根据数值仿真结果进一步对搭便车行为系数进行了灵敏度分析,结果显示,随着搭便车行为系数的增加,供应链整体收益不断降低。     

供应链在信息协同中风险控制模型研究

本文建立了风险控制的数学模型,对供应链风险传播分析了原因,提出了采取持久化控制策略;又得出在不同的风险控制强度措施下能将供应链的风险传播控制在不同的范围之内。供应链管理者可以借鉴模型对不同的风险控制级别采取相应的措施强度,并能测算出所需的相应的资源投入量。本文旨在能帮助供应链成员在未来的风险控制中需采取的硬措施提供了参考。     

服装供应链系统动力学仿真

用户需求不确定性是供应商和零售商订货风险的主要来源。在关于供应链需求信息波动方差理论分析基础上,构建了服装供应链系统动力学模型,利用Vensim PLE对二级传统服装供应链和供应商管理库存（VMI）服装供应链模型进行仿真实验。仿真结果表明：VMI服装供应链模式下订单波动变化和长鞭效应都有明显改善,进一步证明订货提前期与各级库存波动有关;VMI供应链模式能显著减弱长鞭效应,提高节点企业抵抗风险的能力,仿真研究结果与理论模型分析结果一致。     

服装业供应链的系统动力学模型分析

在分析我国服装业供应链运作的基础上,总结出服装业供应链普遍存在的一些问题,指出服装用户需求的变化给服装企业带来的需求预测风险。为了研究在基于供应商管理库存(VMI)补货模式下,供应链的动态反馈方式,考察其运作效率,利用系统动力学的方法为某服装企业构建了系统动力学仿真模型。通过仿真,定量地对比了非VMI及VMI模式下,供应链各成员的订单及库存情况。从仿真计算结果可知,采用供应商管理库存比传统的供应链运作能更有效地减少服装业供应链的牛鞭效应,减少供应链各个成员的库存及订单量波动,提高各个结点对风险的抵抗作用。     

模块化生产模式下的服装产品组合优化决策

为有效克服服装零售商面临多款式产品难以决策的困难,基于模块化生产的服装产品组合进行优化决策,构造了模块化生产模式下的服装时尚度函数;基于消费者效用最大化,构建确定型需求的产品组合决策模型和零售商利润模型;设计了关于垂直差异化服装产品之间的有向图来优化产品集合,以最短路径求得零售商利润最大化的产品组合;研究了市场上多个零售商与供应商之间的利润分配问题。研究结果表明:利用有向图优化零售商的服装产品组合决策问题,其效果明显优于穷举法;该方法将提高服装零售商和供应商的决策水平,获得最大化利润。     

H&M成为全球首个供应链透明的时尚零售商

正4月23日,瑞典快时尚巨头HM集团旗舰品牌HM在官网上公布了全部产品的生产商信息,此举使该集团成为了全球首个供应链完全透明的大型时尚零售商。在HM的官网上,消费者能够查询所有服装及大部分HM家居产品的供应链信息,例如:产地、供应商名称、     

需求信息更新下服装供应链的最优订货决策研究

在现今服装市场竞争日益激烈的压力下,服装企业如何成功的应对服装产品的市场需求不确定的特点,从而进行精准订货,以实现服装供应链收益的最大化是一个十分重要问题。本文从一个由供应商和零售商组成的服装产品二级供应链出发,研究了在此情况下的服装零售商,如何根据服装产品销售期的特点,结合需求信息的更新状况,在一个销售期内进行合理订货,在分析比较了零售商只进行一次订货和三次订货的策略后,结果显示零售商进行三次订货时的效益会有明显提高;并且发现销售期开始前零售商对市场需求的预测准确性对供应链效率有很大的影响。     

Milk marketing policy options for the dairy industry in New England

New England dairy farmers are under intense price pressure resulting from important growth in milk production from lower cost of production Southwest states as well as by retailers’ market power. Agricultural officials and legislative bodies in New England and in other Northeast US states are aware of these pressures and have been reacting with emergency dairy farm aid, following a very low 2006 milk price, and with state legislations in an attempt to address perceived excess retailing margins for fluid milk. In this paper, we suggest that a sigmoid demand relationship exists for fluid milk. This demand relationship would explain fluid milk asymmetric price transmission, high-low pricing, and the creation of a large retailing margin (chain surplus) often observed for fluid milk. It is also argued that a sigmoid demand relationship offers an opportunity for state legislators to help Northeast dairy farmers capturing a larger share of the dollar of the consumers through various policy options. Therefore, 5 milk market channel regulatory mechanisms (status quo, price gouging, supply control, fair share policy, and chain surplus return) are discussed and compared. The supply control mechanism was found the most effective at redistributing the chain surplus, associated with the sigmoid demand relationship for fluid milk, to dairy farmers. However, this option is unlikely to be politically acceptable in the United States. Second-best options for increasing dairy farmers’ share of the consumers’ dollar are the fair price policy and the chain surplus return. The former mechanism would distribute the chain surplus between retailers, processors, and farmers, whereas the latter would distribute it between consumers, retailers, and farmers. Remaining mechanisms would either transfer the chain surplus to retailers (status quo) or to consumers (price gouging).     

Developing and testing a value chain for fashion retailers: activities for competitive success

Purpose: This is an exploratory paper which empirically tests a conceptual model of value chain activity for fashion retailers, developed from the literature. Design/methodological approach: The research involved in depth interviews with 15 of the largest and most successful high-street fashion retailers. Participants were asked to comment on the structure and content of the value chain model. Findings: An updated model of value chain activity for fashion retailers is proposed which takes account of recent changes and developments in the market. Research limitations/implications: This exploratory study is limited to the experiences of 15 large-scale fashion retailers and may benefit from further empirical testing. Practical implications: The results of this study provide a basis for value chain activity and added value in the fashion retailing sector. Originality/value: Academic development and empirical testing of generic business models in the fashion retailing sector is rare. This exploratory research seeks to address this scarcity.     

一种支持快速响应的服装供应链补货策略

 为用计算机代替人工对织物的纹理均匀度进行快速准确地评价,提出一种基于差值矩阵的计算机识别算法,通过建立灰度差值矩阵模型分析织物纹理均匀度指标。对织物图像进行预处理以增加其清晰度。通过检测织物经纬向灰度局部极值,建立横纵向纹理特征矩阵及位置矩阵。将矩阵中相邻行与列的元素依次相减,得到横纵向灰度差值矩阵模型。根据这2个矩阵模型,提出偏移平均值及综合评价公式对织物纹理均匀度进行评价,并通过实例给出了评价指标的分级范围。结果表明,这种方法简单准确且速度快,能较好评价织物的纹理均匀度。     

碳交易及消费补贴下的服装行业碳减排决策问题

在"双碳"目标下,全国碳交易市场悄然上线,为使服装企业更好地应对碳交易,建立由原料供应商、制造商、零售商和回收商组成的服装闭环供应链模型,着重探讨了政府对再制造服装消费者补贴及制造商碳减排投资对服装行业发展、供应链成员利润及供应链碳排放总量的影响等.研究发现:随着碳交易价格的上涨,若无减排及无补贴,服装企业难以长久维系...     

Brand awareness–Brand quality inference and consumer’s risk perception in store brands of food products

Store brands (SBs) have currently become consolidated in the food market, have achieved an objective quality similar to that of manufacturer brands and a competitive price. However, food retailers have invested little in communication about these brands, considering it enough to use proximity to the consumer and economies of scope derived from the presence of their own brands throughout the establishment. This paper explores the consequences of this communication strategy about SBs on the functional risk perceived by consumers for these brands and the consumer’s identification with them. We propose a theoretical model, contrast it empirically for food products, and perform a multigroup analysis of quality conscious and non-quality conscious consumers. The results obtained reveal a negative effect of the inference brand awareness–brand quality on the consumer’s identification with the SB as a result of the greater functional risk perceived for these brands. This effect is substantially greater in quality conscious consumers, a key segment for retailers since it constitutes the target of their premium SBs. The results show retailers that investment in communication of SBs is absolutely necessary to dismiss SB functional risk and expand customer base by appealing to quality conscious consumers. The investigation has significant implications for the retailer’s strategy for marketing SBs in food products.     

双重渠道下服装供应链合作广告研究

文章针对服装企业采取加盟和直营双重渠道的特点,构建了双重渠道下服装供应链的合作广告博弈模型,对比研究集中决策和分散决策下的最优合作广告策略、最优广告补贴比例和供应链系统最优收益,并分析相关参数对合作广告决策的影响。结果表明,两种决策下合作广告问题的均衡解都存在且唯一,采取集中决策进行合作广告优于分散决策,并应用Nash讨价还价模型得到了一种收益帕累托优化方案,从而实现集中决策下合作广告的协调。最后,还结合数值算例对有关结论进行了验证。     

协调定货在服装业供应链中的应用

分析服装业不同于其它行业的需求特性,在传统订货的经济批量模式基础上,提出供应链协调订货两级供应链模式,供应商通过降低批发价弥补销售商由于协调订货产生的库存成本增加,兼顾销售商的库存成本合理化,建立销售商需求确定下的供应商成本优化模型。当需求增大时,供应链可以柔性响应,从而使整个供应链的利润增加。案例显示,协调订货两级供应链模式比传统的订货模式降低了整个供应链的成本,并在供应商和销售商之间提供了利润分配方案。