推广亚星经验规范企业的采购工作管理

根据所在企业学习和实践亚星集团“购销比价管理”经验的情况,论述了如何贯彻落实《国有工业企业资采购管理暂行规定》,搞好企业采购工作的管理。     

FS-LSTM: sales forecasting in e-commerce on feature selection

There are many studies on sales forecasting in e-commerce, most of which focus on how to forecast sales volume with related e-commerce operation data. In this paper, a deep learning method named FS-LSTM was proposed, which combines long short-term memory (LSTM) and feature selection mechanism to forecast the sales volume. The indicators with most contributions by the extreme gradient boosting (XGBoost) model are selected as the input features of LSTM model. FS-LSTM method can get less mean average error (MAE) and mean squared error (MSE) in the forecasting of e-commerce sales volume, comparing with the LSTM model without feature selection. The results show that the FS-LSTM can improve the performance of original LSTM for forecasting the sales volume.     

Impact of online word-of-mouth on sales: the moderating role of product review quality

Facing with thousands of online product reviews, consumers usually pay close attention to those valuable ones which provide more specific and credible evaluations on products. Whether a close association exists between product review quality and sales is thus examined in this paper. By employing text mining techniques on multiple review features, a review is measured as one of the following two levels: high-quality or low-quality. In doing so, aggregate quality level of product’s whole reviews is also identified. Then, a two-level econometrical analysis is conducted on the real datasets from Amazon.cn. The results reveal that aggregate quality level of positive reviews and negative reviews interactively influence sales. In the situation the aggregate quality level of positive reviews is high meanwhile that of negative reviews’ is low, product sale is the highest, while in the opposite situation product sale is the lowest. The results also reveal that consumers understand product’s value from weighting positive and negative reviews of high-quality level, which then positively relates to product sales and exerts a dynamic effect on sales by the moderating role of product selling stage and popularity. The paper innovatively integrates the quantitative and qualitative characteristics of reviews to estimate their economic effect.     

基于交叉验证网格寻优支持向量机的产品销售预测

综合考虑影响汽车销售的多种因素,运用交叉验证网格搜索优化支持向量机的惩罚系数和核函数参数,建立了适合汽车销售的预测模型.仿真实验结果表明,改进支持向量机优化汽车销售预测模型的预测效果比某公司当前采用的模型更佳,该模型具有较高的预测精度和较大的可信度,可为企业决策层提供较为准确的销售预测参考.     

Evolutionary Algorithm‐Based Radial Basis Function Neural Network Training for Industrial Personal Computer Sales Forecasting

Forecasting is one of the crucial factors in applications because it ensures the effective allocation of capacity and proper amount of inventory. Because Box–Jenkins models using linear forecasting have their constraint to predict complexity in the real world, other nonlinear approaches are developed to conquer the challenge of nonlinear forecasting. With the same goal, we are proposing a hybrid of genetic algorithm and artificial immune system (HGAI) algorithm with radial basis function neural network learning for function approximation and further applying it to conduct an industrial personal computer sales forecasting exercise. In addition, five well‐known benchmark problems were used to evaluate the results in the experiment, and the newly proposed HGAI algorithm has returned better results than the Box–Jenkins models and other algorithms.     

Technostress: negative effect on performance and possible mitigations

We investigate the effect of conditions that create technostress, on technology‐enabled innovation, technology‐enabled performance and overall performance. We further look at the role of technology self‐efficacy, organizational mechanisms that inhibit technostress and technology competence as possible mitigations to the effects of technostress creators. Our findings show a negative association between technostress creators and performance. We find that, while traditional effort‐based mechanisms such as building technology competence reduce the impact of technostress creators on technology‐enabled innovation and performance, more empowering mechanisms such as developing technology self‐efficacy and information systems (IS) literacy enhancement and involvement in IS initiatives are required to counter the decrease in overall performance because of technostress creators. Noting that the professional sales context offers increasingly high expectations for technology‐enabled performance in an inherently interpersonal‐oriented and relationship‐oriented environment with regard to overall performance, and high failure rates for IS acceptance/use, the study uses survey data collected from 237 institutional sales professionals.     

考虑销售方式和物流服务策略的运营模式研究

针对商家在进入大型电商平台面临的销售方式选择和物流服务策略问题,提出三种运营模式:a）转售模式,标记为A;b）代理+无平台物流模式,标记为B;c）代理+平台物流模式,标记为C。以一个电商平台和一个商家组成的分析框架为研究对象,构建两者之间的博弈模型。通过比较三种模式下的均衡结果,并结合企业的不同权力结构,发现当平台拥有绝对权力时,C模式对平台最优。当物流服务敏感系数和市场规模都较大时,B模式对拥有绝对权力的商家最优。此外,如果两者都没有绝对权力,只有当商家首先决定物流服务策略,然后平台决定销售方式时,B模式对双方最优;否则,A模式最优。本研究可为平台和商家运营模式的选择提供理论支持和决策指导。     

允许取消预订的生产-销售库存模型

在需求率与价格相关、生产率由市场实际需求调节、取消预订率为常数的条件下,建立了有限时间水平内易变质产品的预定销售和现场销售的生产-销售模型.证明了模型解的存在性,并给出了求解方法,最后通过数值实例证明了算法的有效性.     

面向精益制造的生产执行系统销售模块功能设计

面向精益制造能力构建的企业生产执行系统（MES）在关键价值区域（生产）和层次（执行）,以小投入换大效益,为制造型企业信息化的全面实施打好基础。其中销售模块与传统erp销售功能相比,更注重利用mes的生产资源数据实时采集和反馈特点,让企业业务前端的销售管控更贴近服务于整个系统的即时高效运作。该文基于以上理念,详细阐述广义mes下销售模块的需求构建和策略设计。     

基于方波伏安型电子舌的鸡蛋蛋清检测方法研究

鸡蛋作为一种普遍的营养品,其储存期和销售等级的快速准确检测对消费者和生产者均至关重要。利用方波伏安型电子舌对鸡蛋蛋清溶液进行检测,并利用哈夫单位的测定建立鸡蛋不同储存期和不同储存期下的等级与鸡蛋哈夫单位的对应关系。提取第一峰电流、第二峰电流、第二极小值电流作为特征值。分别利用主成分分析（PCA）和判别函数分析（DFA）对数据信息进行分析,DFA比PCA能较好地区分鸡蛋的储存期和等级,电子舌能够检测出鸡蛋储存期和销售等级。