SCW-based Outsourcing Operation Modeling in the Case of Integrated Supply Chain Management

By analyzing the features of integrated supply chain management （SCM） and its environment, this paper puts forward the types of outsourcing under this environment and their functions for different type of outsourcing models. This paper also expresses the outsourcing operation model in the case of integrated SCM environment and the outsourcing management model based on CSCW. Through an operational example analysis and comparison, it can be seen that the modeling that is set up in this paper is feasible and effective.     

Nonlinear Predictive Control for PEMFC Stack Operation Temperature

Operating temperature of proton exchange membrane fuel ceil stack should be controlled within a special range. The input-output data and operating experiences were used to establish a PEMFC stack model and operating temperature control system. A nonlinear predictive control algorithm based on fuzzy model was presented for a family of complex system with severe nonlinearity such as PEMFC. Based on the obtained fuzzy model, a discrete optimization of the control action was carried out according to the principle of Branch and Bound method. The test results demonstrate the effectiveness and advantage of this approach.     

A Novel Automatic Method for Removal of Flicker in Video

Intensity flicker is a common form of degradation in archived film. Most algorithms on this distortion are complicated and uncontrolled. This paper presented a discrete mathematical model of flicker, designed a block-based estimation method of the model＇s parameters according to their features of intensity variation in large area. With this estimation result it constructed a compensation model to repair the current frame. This restoration approach is full automatic and the repair process of current frame does not need the information of frames behind it. The algorithm was realized to establish a simple and adjustable repair system. The experimental results show that the proposed algorithm can remove most intensity flicker and preserve tho wanted effects.     

Research in Green Modularity Design Methodology

Green design and manufacturing is a proactive approach to minimize wastes during a product＇s design stage, thus preventing future environmental impacts. Current modular design method mainly focuses on product functional and manufacturing issues. In this paper, a theoretical scheme of multi-objective modularity analysis for discrete electromechanical product design was proposed. Product physical architecture was represented by a fuzzy graph, where fuzzy relationships contain environmental objectives and influence module formulation. Finally the optimal product modules combining all objectives can be searched by clustering algorithm.     

Resarch on Welding Robotic System with Petri Net

Petri net (PN) theory model was adopted for complexity in welding flexible manufacturing system (WFMS). A scheduling arithmetic was devised to optimize the process of controlling system. With this scheduling way, model simulation experiment was designed to validate the model. And a sort of controlling software was designed on local net. Besides, a special welding experiment had been designed to check the controlling way. Results show the controlling process rightly and feasibly.     

Fairness-embedded governmental coordination by dominated retailer in heterogeneous circumstance

Market demand is positively affected by the investments in marketing and quality improvement. In a retailer dominated supply chain, the manufacturer takes charge of product quality improvement and the retailer focuses on marketing. The investments on cooperative marketing and product quality improvement in supply chains are known to be heterogeneous investment, where the manufacturer(he) is fairness sensitive and the retailer(she) is fairness insensitive. Due to the manufacturer's conservative investment resulting from this sensitivity of fairness, the retailer shares a proportion of the manufacturer's investment to increase his investment. It is found that the manufacturer's fairness negatively affects his investment and the manufacturer sometimes tends to be a ‘free rider' under decentralized decision patterns, which lead to a poor supply chain performance. This study also proves that both the manufacturer and the retailer are motivated to cooperate under centralized patterns,where the retailer's objective is additional expected profit and the manufacturer's objective is enlarging his utility.Based on the comparison of equilibrium solutions in decentralized and centralized patterns, this study suggests the range of cost-sharing proportion for supply chain coordination. The example shows the effectiveness of the provided supply chain coordination.     

Building and Researching the Bidding Model Based on the Cost of Power Plant

A bidding model of neural network was presented to pursue the largest benefit according to the policy of separating power plants from network and bidding transaction. This model bases on the cost of power plant and its research object is a power plant in the market. The market clearing price (MCP) can be predicted and an optimized load curve can be decided in this model. The model may provide technical support for the power plant.     

Aerodynamic characteristics of airship Zhiyuan-1

An airship named ＂Zhiyuan-l＂ was designed/fabricated/flied as a technical demonstration for stratospheric airship during 2007--2009 by Shanghai Jiaotong University. The calculation method and procedure of aerodynamic parameters were introduced, and the optimized configuration of the hull and the aerodynamic layout were given in this paper. Wind tunnel tests with different configurations, different pitch angles and different yaw angles were performed to study the wind load characteristics of the rigid model of the airship ＂Zhiyuan-1＂ in the φ3.2 m wind tunnel at China Aerodynamics Research ＆ Development Center. Also the numerical calculation about the test model was carried out to investigate the aerodynamic behavior. According to the results of wind test and numerical calculation, the excellent hull configuration of the airship ＂Zhiyuan-1＂ with lower drag characteristic was confirmed, which is based on optimism of the Michel transition law. And the phenomena of pressure coefficient distribution were discussed according to the results of wind tunnel test and numerical calculation at different flight attitudes.     

Agent Technology Application in Automating the Coordination and Decision-Making in Supply Chain

Coordinating all the activities among all the parties involved in supply chain can be a daunting task. This paper put forth the viewpoint of applying agent technology to automate the coordination and decision-making tasks in a typical home PC industry supply chain. The main features of the proposed approach, which differentiate it from other approaches, are the following： ① In the prototype, the coordination agents have both cooperation and competition patterns, ② It uses JADE （Java Agent DEvelopment Framework） as the agent development environment to realize efficient and reusable agent software; ③ It produces some innovative models for the business processes and issues faced by parties in the supply chain. A prototype and the overall process flow were also described.     

Genetic Algorithm Based Feature Selection and Parameter Optimization for Support Vector Regression Applied to Semantic Textual Similarity

Semantic textual similarity(STS) is a common task in natural language processing(NLP). STS measures the degree of semantic equivalence of two textual snippets. Recently, machine learning methods have been applied to this task, including methods based on support vector regression(SVR). However, there exist amounts of features involved in the learning process, part of which are noisy features and irrelative to the result.Furthermore, different parameters will significantly influence the prediction performance of the SVR model. In this paper, we propose genetic algorithm(GA) to select the effective features and optimize the parameters in the learning process, simultaneously. To evaluate the proposed approach, we adopt the STS-2012 dataset in the experiment. Compared with the grid search, the proposed GA-based approach has better regression performance.     

层次分析法选择供应商的研究

科学合理地选择供应商,既是企业正常运营的基础和保证,又关系到整个供应链的效率和企业竞争力。本文分析了供应商评价指标体系所应遵循的一般原则,把层次分析法应用到供应商选择问题中,有利于定性指标的定量化,减少了传统供应商评价中过多的主观性;把供应商的选择过程具体化,可明显地提高企业选择供应商的效率。该方法综合考虑了诸如价格、质量和服务等因素在选择供应商时的比重,同时考虑了实际的政策、供应能力等约束条件,在实际运用中具有可行性和实际意义。     

供应链企业业务外包决策模型研究

为适应供应链企业业务外包决策的需要，建立了供应链企业业务外包模型，分析了供需双方独立决策时各自的产量决策和生产能力投资决策．讨论了基于价格合同的外包形式，建立了2个企业进行业务外包决策的两阶段动态博弈模型，并证明了其存在子博弈精练Nash均衡．     

基于分类预处理的协同供应商模糊综合评价

供应商优选是供应链协同管理和供应链竞争力的内在要求。对定性指标采用梯形模糊数处理,并对所有指标进行分类预处理,实现无量纲化并避免设计隶属度函数;构建模糊互补矩阵时对定性指标采用两两比较法,对定量指标采用模糊一致判断矩阵元素与权重之关系式,以提高定量指标数据的区分精度;从而,构建基于梯形模糊数及模糊一致矩阵的协同供应商模糊综合评价方法。案例计算表明,该评价方法对定性指标和定量指标的处理技术更加科学客观,比传统模糊评价方法更合理,能为供应链协同管理中供应商选择提供科学的决策支持。     

考虑节点度的供应链网络风险模糊评估

从复杂网络角度将供应链网络风险分为“点中断风险”和“边中断风险”两大类，并重新定义了各自的主要风险要素．在此基础上，将网络的节点度指标引入风险评价中，建立了供应链网络风险的双层双维模糊评估模型．最后，以某三级供应链网络为例，由“微观”到“宏观”逐级对供应链网络风险进行了定量评估，仿真结果表明企业节点的度值作为供应链网络风险评估的过渡参数，可以有效提高评估结果的准确性．     

基于竞赛模型的外包服务竞争均衡分析

应用竞赛理论构建比例分配的采购模型,通过比较静态分析的方法研究比例分配采购模式下的竞争均衡,对存在2个和N个入围供应商参与外包服务竞争的竞争均衡进行分析,探讨采购商的订单规模、订单的单价、参加竞标的供应商数目及其单位生产成本和边际服务成本对均衡外包服务水平的影响,给出了算例分析.     

基于CSCW的集成供应链环境下的外包运作模型

通过分析集成供应链(SCM)以及它的环境特点,提出在该环境下的外包类型和各种外包类型的功能.同时析述了集成供应链环境下的外包运作模型和基于CSCW(计算机支持的协同工作)的外包管理模型.通过一个运行实例分析和比较,该模型分析是可行和有效的.     

用Arena进行供应链建模和仿真

提出了在用Arena软件对供应链进行仿真建模研究中的一些思路，通过计算机对供应链系统的仿真分析，不仅可以使得管理人员对由于从销售端到供应端的需求变化引起的“牛鞭效应”进行较为深入和直观的分析，同时也可以在模型中快速对不同物流管理策略和方案进行测评．整个供应链和供应链中各环节的平均库存水平和服务水平是所介绍的模型中的主要供应链绩效指标．文中采用了由供应商、制造商、分销商、零售商和客户所组成的传统供应链结构进行仿真建模，同时介绍了完成的第一个Arena仿真模型．     

物流供应链协同运作分析

物流供应链是一个协同系统,供应商、集配商与客户之间存在着利益一致关系。建立协同效用模型,利用势函数分析物流供应商之间、物流供应商与客户之间的协同关系,通过势函数的变化规律,了解协同效应的变化趋势,为建立科学合理的物流供应链协同运作方法提供指导。     

供应链风险管理下供应商的选择

在供应链风险管理下,对供应商选择的影响因素进行了具体地分析,运用层次分析法(AHP)建立供应商选择方案的评价指标体系,并应用模糊理论将各指标模糊量化,进行模糊综合评判,从而得到最佳方案,较好地解决了供应商的选择问题.     

混合算法在港口吞吐量预测中的应用

设计供应链网络主要考虑满足外部客户需求最大化和网络总体效用的最大化,其目的是寻求合适的合作伙伴,从而制定符合实际的生产分销策略。为了解决复杂供应链网络设计的问题,提出了一种新的多阶段数学算法模型,该方法是基于遗传算法、层次分析法、多属性效用理论、以同时满足供应商和客户在网络各个层级上的需求。最后,应用该方法很好地解决了所列举的案例,并证明该方法的有效性和实用性。