另类学习机 OKWAP i855手机

OKWAP（英华达）是一个来自我国台湾省的手持通讯设备生品牌,其产品主要含包括PHS、GSM终端,在产品功能规划上OKWAP率先提出了“移动学习”的概念,并将该概念在产品中进行了很好的实施,     

用户认知在产品识别中的重要作用

随着时代发展,企业的竞争也越来越激烈,由此则带来了各种品牌的模仿热、相似化。越来越多的企业需要运用产品识别（PI）来帮助企业建立品牌识别。文童将先对产品识别的建立过程进行探讨,进而通过产品识别中的识别要素的建立以及相应的产品识别要素策略去探索用户的认知在产品识别中重要作用。最后,对基于用户认知的产品识别的初步探索进行小结。     

航迹规划策略学习方法研究

分析并研究航迹规划软件中的飞行器操作数据特征,提出一种基于XGBoost算法和K-prototypes算法的航迹规划策略学习方法。在样本采集与分类过程中,根据约束自身特性和规划人员操作特征,将约束分为飞行器环境约束和飞行器特性相关约束,分别采用XGBoost算法和K-prototypes算法进行策略学习,并对飞行器特性相关约束做进一步细分,实现复杂约束的针对性学习及样本分类管理。当航迹不满足约束时,需将已获得的规划策略反馈给规划人员使其得到策略引导。实验结果表明,该方法能准确选取航迹规划策略并给出策略引导信息,降低规划人员的工作强度,提升交互规划效率和规划软件的智能性。     

考虑延时效应和记忆效应的供应链广告策略

研究考虑延时效应和记忆效应的供应链广告策略问题,建立泛函微分方程以刻画广告延时和记忆双重效应对产品品牌信誉变化的影响,运用微分对策理论给出制造商和零售商在分散式决策和集中式决策下的最优广告投入水平、广告排期以及相应的产品品牌信誉,并对不同决策机制下供应链成员的均衡策略进行比较分析.研究表明:集中式决策能激励制造商和零售商的广告投入; 延时效应与记忆效应分别影响供应链成员广告时序策略与广告排期策略的制定,同时,还会影响供应链决策机制的选择.     

一种基于品牌形象的工业和商用产品设计策略方法

文章主要介绍了一种适用于工业和商业产品领域的产品形象策略的操作方法,此方法通过基于品牌和市场竞争以及用户诉求三大要素,经由理解-分析-创造的步骤来产生产品形象策略。在文章的最后,作者就如何实施企业产品形象策略进行了讨论。     

考虑制造商公平关切的强势零售商自有品牌导入策略研究

研究了制造商公平关切下强势零售商的自有品牌导入策略,在有强势零售商存在的供应链中,考虑弱势一方制造商的公平关切对供应链决策的影响。将零售商是否导入自有品牌以及制造商是否具有公平关切行为进行组合,得到了四种情景,分析了四种情景下的供应链博弈模型,得到均衡策略、利润以及相应自有品牌的导入条件;进一步对模型进行比较分析,探讨自有品牌导入以及制造商公平关切对供应链成员决策以及利润的影响。研究发现,制造商的公平关切会使其批发价格和利润提高;零售商导入自有品牌会使零售商和供应链的利润增加,当自有品牌产品替代率较大时也会有利于制造商利润水平的提高。     

产品规划七宗罪

产品规划是众多软件厂商付诸心血的重大课题,它涵盖了一系列包括商业战略、产品策略、产品路线图、产品线管理、机会评估、项目策划和跟踪,以及项目监督等活动的内容。总而言之,产品规划就是你决定对哪些项目在什么地方进行投资。     

亚德客：突出重围

一个优秀的品牌总难免引起无数的效仿者甚至假冒者……当市场被铺天盖地的“水货”充斥时，困境中的企业该如何应对？元器件制造者亚德客的“绝地反击”策略，也许是一个不错的打击假冒产品的战略解决方案。     

基于位姿空间栅格扩展及变维搜索的\=机器人运动规划新策略

本文首先对机器人运动规划算法中的栅格扩展策略及次序规划法进行了探讨,并提 出了相应的改进方法,在此基础上提出了一种新的机器人运动规划策略——基于位姿空间栅 格扩展及变维空间搜索算法,该算法可有效地在复杂环境中找出无碰撞路径．     

国内国外齐头并进，IT庖丁双胜公司再出牛刀

多元化产品策略 谈起双胜,笔者以前只知道它是一家移动存储产品生产厂商,并拥有名为Kingforce的品牌内存,最近却在零售市场上发现了它的显卡和MP3播放器。本期杂志的访谈目标就选定了该公司的销售总监蔡栋先生。     

Business Impact of Strategic Data Planning

By organizing a company's business elements into a conceptual model, strategic data planning can help the company gain a competitive edge. This article describes how an insurance company used an Information Cycle strategy and a subject data model to distribute information processing costs over its entire product line.     

Kineo CAM: a success story of motion planning algorithms

Kineo computer aided motion (CAM) is a start-up company that develops and markets software technologies dedicated to motion planning and control and destined for the industrial domain of product lifecycle management (PLM). In addition to this product strategy, Kineo CAM's expertise covers various domains ranging from medical robotics to transportation via graphics. This article gives an account of the different phases of the product design from the seminal research conducted at LAAS-CNRS, the company's creator, during the 1990s to the first success stories of treating difficult industrial problems.     

企业品牌形象与产品造型设计

品牌形象是企业最有价值的资产之一.现在许多企业已经意识到良好的品牌形象能够使他们更加快速有效的发展.良好的产品造型设计是吸引消费者最直接的途径,也是消费者购买动机的主要因素之一.对一个完整的产品设计来说,不仅要规范生产,销售和产品本身,还需要注意到不同品牌形象产品造型的不同需求,独特而良好的造型风格能够增强产品的可识别性.树立良好的品牌形象,从而提高消费者的忠诚度.     

基于品牌策略的新产品开发设计

本文通过对企业的品牌策略及其特征的分析,结合具体实例,从产品自身、系列产品和不同类产品形象的"家族"产品三个方面,提出了新产品开发设计如何与品牌策略融合,从而为企业降低新产品开发的风险,提高人们对品牌的认知度,提升企业整体文化形象提供了一种思维方法。     

An efficient approach to cross-fab route planning for wafer manufacturing

This paper proposes an efficient approach to solve a cross-fab route planning problem for semiconductor wafer manufacturing. A semiconductor company usually adopts a dual-fab strategy. Two fab sites are built neighbor to each other to facilitate capacity-sharing. A product thus may be produced by a cross-fab route; that is, some operations of a product are manufactured in one fab and the other operations in the other fab. This leads to a cross-fab routing planning problem, which involves two decisions—determining the cut-off point of the cross-fab route and the route ratio for each product—in order to maximize the throughput subject a cycle time constraint. A prior study has proposed a method to solve the cross-fab route planning problem; yet it is computationally extensive in solving large scale cases. To alleviate this deficiency, we proposed three enhanced methods. Experiment results show that the best enhanced method could significantly reduce the computational efforts from about 13 h to 0.5 h, while obtaining a satisfactory solution.     

论企业品牌营销中商业广告的传播策略

广告的传播策略是企业品牌营销中展现产品的重要手段,它为塑造企业的品牌形象提供了多样化的渠道。从营销的受众心理、文化意识与品牌广告的结合、广告传播的新媒体特性以及广告传播的终端体验4个方面,对企业品牌营销中商业广告的传播策略进行理论上的探讨。     

An object-oriented bill of materials system for dynamic product management

In this paper, the bill of materials (BOM) system is defined as the central hub of a general product data management (PDM) system that provides essential data for running a manufacturing system to produce products. Information that is relevant to products and their components is defined in the BOM. The information is critically related to data from product design, manufacturing planning, production management, procurement, inventory control, and accounting within a company. A conventional BOM structure (or product configuration), which manages data only in a stand-alone relational database management style, cannot satisfy the needs requested by all departments within a company. A BOM should relate to and communicate with other domains of the information system. In this research, a newly designed BOM system uses the object-oriented programming (OOP) concept to represent product information. The object-oriented BOM (OOBOM) system can capture and encapsulate data that will simultaneously serve the information needs of various departments. In order to manage product data dynamically, the system provides several interfaces for easy data access and manipulation. The linkage between BOM and its corresponding CAD/CAM system is enabled through the X-window manager: thus an integrated PDM environment is developed. This product management approach improves the consistency and efficiency of product data representation.     

A relationship framework and application in between strategy and operational plans for manufacturing industry

The objective of this paper is to develop a system that calculates a company’s strategic manufacturing performance using indicator values of competitive priorities classified according to manufacturing players and their weights and to determine strategic operations plans to guide short-term decisions based on performance and indicator values. A framework is designed that measures strategic manufacturing strength and links these competitive priorities to manufacturing strategy to plan operations that are compatible with the manufacturing strategy. This framework is applied in a panel furniture company. Quantitative data are obtained from Enterprise Resource Planning database. This work provides a new, more structured methodology with greater quantification and new insights. It is hoped that this decision support system helps that managers of a company in their strategic operations plans decision-making as they develop manufacturing capabilities against competitors. This study eliminates several gaps between the academic literature and current management practice, suggesting that researchers should consider the impact of theory on the process of strategy operations planning. It also offers a way for organizations with respect to determine strategy operations planning according to their current performance measurement systems. This study includes a different approach than those described in the literature because it includes a conceptual model, novel methods used in performance calculation and decision-making related to strategic operations plans.     

化工企业生产计划图形建模优化系统开发及其应用

为优化化工企业生产计划,本文建立了化工过程生产计划优化的混合整数非线性规划(mixed integer nonlinear program- ming)模型,并给出相应的迭代求解算法,实际应用表明该算法可以有效的求解模型。应用该MINLP模型和求解算法,在石化企业生产计划图形建模优化系统(graphic I/O petrochemical industry modeling system,GIOPIMS)已经成功开发和实施的基础上,针对化工企业的特点,重新开发出适合化工企业使用的生产计划图形建模优化系统(graphic I/O chemical industry modeling system,GIOCIMS)。GIOCIMS的实施表明,该系统在化工企业中间产品外购或自产,中间产品外销或深加工,工艺路线选择和装置负荷等优化方面发挥了重要作用,获得显著的经济效益?。     

Mini–max regret strategy for robust capacity expansion decisions in semiconductor manufacturing

Semiconductor manufacturing is capital intensive and the capacity utilization significantly affects the capital effectiveness and profitability of semiconductor manufacturing companies. Semiconductor companies have to rely on various demand forecasts of the products fabricated by different technologies as a basis to determine capital investments for capacity expansion plans that require long-lead time. Moving into the consumer electronics era, semiconductor products have increasingly shortened product life cycles with demand fluctuation. However, given the involved uncertainties and long lead-time for capacity expansion, the capacity expansion decisions of semiconductor manufacturing companies are under both the risks of capacity shortage and surplus along with the time. This study aims to propose a mini?Cmax regret strategy for capacity planning under demand uncertainty to improve capacity utilization and capital effectiveness in semiconductor manufacturing. This model considers each of possible outcomes of the multi-period demand forecasts from sales and marketing departments to generate robust capacity expansion plan to minimize the maximum regrets of capacity oversupply and shortage. An empirical study was conducted in a leading semiconductor company in Taiwan for the validation. The results have shown robustness and practical viability of the proposed mini?Cmax strategy for capacity expansion planning under demand uncertainties.