基于神经网络训练的战略分析和协商机制的绩效评价

论述了绩效管理模型的发展历程和发展趋势，介绍了BP神经网络评价模型形成的原理，综合运用多种方法建立了财务指标和非财务指标相结合的企业投资决策战略绩效评价的一般指标体系，采用了主成分分析和专家判断相结合的方法对企业投资决策绩效评价指标进行筛选。建立了基于SWOT战略分析和BP神经网络训练的企业投资决策绩效评价模型，并运用该模型对武钢焦化企业投资项目进行了实证分析。     

绿色供应链绩效评价的模型研究

分析了传统供应链相对于绿色供应链绩效评价的不足之处,针对绿色供应链管理的特征,给出了绿色供应链管理绩效的影响因素.借鉴供应链绩效评价指标和绿色环保指标,运用专家调查法构建了由五个一级指标:账务价值、客户服务、成本费用、业务流程和环境绩效构成的绿色供应链绩效评价的指标体系.在此基础上,运用多级指标的模糊综合评价法,建立了指标体系的评价模型,该模型较准确、客观地度量了绿色供应链的整体绩效,论文通过实例验证了该评估模型的有效性和正确性.     

基于BP神经网络的飞行器外观设计评价模型

目的建立基于BP神经网络的飞行器外观设计评价模型,使飞行器外观设计更加科学化、符合实际需求。方法基于BP神经网络的飞行器外观设计评价方法是通过建立综合评价指标体系,并组织专家对样本进行评判打分,得到神经网络的训练、检验数据,由MATLAB仿真计算出各项指标的权重关系,并提炼出反应各项评价指标和综合评价结果的非线性关系。结论 BP神经网络的评价模型降低了综合评价法、层次分析法评价过程中主观因素的影响,能够客观、全面地对飞行器外观设计做出评价,为选择最优的飞行器外观设计方案提供有效的参考依据。     

供应链绩效对企业经济增加值的影响——基于系统动力学的关联模型研究

将供应链绩效与企业长期财务目标联系起来,分析了供应链运作参考模型SCOR中绩效指标与企业经济增加值(EVA)之间的关系,采用系统动力学仿真的方法建立了关联模型,并通过关联模型量化地研究了供应链绩效指标的单一变化与多重变化对企业经济增加值的影响。模型模拟仿真的结果表明,依据关联模型可以有效地测量供应链绩效对企业经济增加值的影响及影响程度,明确供应链运作的改进方向,使企业提升财务业绩,增强竞争优势。     

基于网络层次分析方法的物流服务供应链综合绩效评价

在充分考虑物流服务供应链协调的特性和物流服务供应链的服务特性的基础上,设计了物流服务供应链综合绩效评价指标体系。该指标体系由结果层、运作层和战略层3个层次构成,共有7个二级指标和30个三级指标。建立了物流服务供应链绩效评价指标体系网络层次分析ANP模型,并利用Superdecision软件进行评价。算例结果表明,该方法可以克服评价因素之间的相关性,提高了绩效评价的准确性,从而为物流服务供应链绩效提供了一种定量的评价依据。     

基于 BP 神经网络的气调包装评价方法研究

目的为了提高果蔬气调包装评价应用水平。方法基于BP神经网络,对果蔬MAP包装评价的理论研究现状进行了系统的研究和分析,系统地介绍了基于BP神经网络的评价方法原理。以牛肉气调包装为例,选用pH值、TVB-N值(挥发性盐基氮)、汁液流失率、细菌总数、色泽等评价指标,建立了气调包装评价模型,并用实例进行了证明。结果评价了样本MAP2,MAP6,MAP9的实际输出值分别为0.61,0.83,0.69,符合所选牛肉的气调包装表现。结论评价方法实用性强,可用于各类产品的气调包装评价,为气调包装方案的设计提供了依据。     

评估知识生产绩效的BP神经网络模型

把知识生产划分为批量型知识生产和订单型知识生产两类，绘制了它们的流程，并系统地比较了它们与传统制造行业供应链的差异。针对知识生产的流程更加复杂多变，供应链更新更快且对象更难于量化的特点，提出了批量型和订单型两类知识生产的绩效评估指标体系，在此基础上通过BP神经网络模型，得出了它们的绩优度，为知识生产绩效的评估提供了参考和依据。     

供应商管理库存的供应链管理绩效模型

使用多目标规划的方法描述了供应链及其成员的运作性能、供应链的协调运作、供应链成员的利润等,建立了由一个制造商和一个供应商构成的多产品、多阶段供应商管理库存的供应链管理绩效模型;通过应用算例的研究验证了模型的有效性和可行性;并与未实行供应商管理库存的供应链管理绩效模型进行比较,验证了供应商管理库存能够提高供应链的绩效.     

用模糊层次分析法评价供应链库存控制绩效

研究了供应链库存绩效评价的必要性,提出供应链库存控制绩效评价指标.在介绍模糊层次分析法理论基础上,结合具体实例对某一核心企业的三条供应链的库存控制绩效进行评价择优.从而将影响供应链库存控制绩效的指标比重定量表示出来,为企业经营管理和决策提供重要的依据.     

基于BSC和SD仿真的供应链绩效评价

成本和服务水平是供应链绩效评价申具有悖反关系的指标.提出了基于平衡计分卡(BSC)和系统动力学(SD)仿真的供应链绩效评价方法,建立了供应链成本与服务水平的数学模型.利用BSC和战略图界定供应链结构及其边界,建立供应链系统模型;由供应链模型构建SD仿真流图和供应链绩效指标的SD方程;通过SD仿真和参数调整平衡成本与服务水平之间的关系,实现供应链绩效的优化.以生产一分销子系统为例,验证方法的有效性.     

Supply chain relationship quality and performance in technological turbulence: an artificial neural network approach

A well-functioning supply chain management relationship cannot only develop seamless coordination with valuable members, but also improve operational efficiency to secure greater market share, increased profits and reduced costs. An accurate decision-making system considering multifactor relationship quality is highly desired. This study offers an alternative perspective and characterisation of the supply chain relationship quality and performance. A decision-making model is proposed with an artificial neural network approach for supply chain continuous performance improvement. Supply chain performance is analysed via a supervised learning back-propagation neural network. An ‘inverse’ neural network model is proposed to predict the supply chain relationship quality conditions. Optimal performance parameters can be obtained using the proposed neural network scheme, providing significant advantages in terms of improved relationship quality. This study demonstrates a new solution with the combination of qualitative and quantitative methods for performance improvement. The overall accuracy rate of the decision-making model is 88.703%. The results indicated that trust has the greatest influence on the supply chain performance. Relationship quality among supply chain partners impacts performance positively as the pace of technological turbulence increases.     

基于人工神经网络的建筑施工安全评价

建筑施工现场的安全评价是一项复杂的系统工程。目前安全评价技术在建筑业的运用并不成熟,我国大多数建筑施工企业的安全管理只局限于对施工现场的检查和整改工作,而对整体安全性缺乏分析和有效监控。综合目前的安全评价技术,结合建筑施工的特点,确立建筑施工现场安全评价指标体系,并运用管理理论中的层次分析法(AHP)和模糊综合评价方法(Fuzzy),提出了适合建筑施工现场的人工神经网络(ANN)安全评价模型。详细论述了建筑施工安全评价方案以及具体实现的步骤,在结合AHP与Fuzzy综合评价法的基础上利用ANN进行训练与修正历史数据,为全面评价建筑施工安全状况提供了新的思路与方法。     

Hybrid Petri-nets for modelling and performance evaluation of supply chains

Modelling and analysis of complex and co-ordinated supply chains is a crucial task due to its inherent complexity and uncertainty. Therefore, the current research direction is to devise an efficient modelling technique that maps the dynamics of a real life supply chain and assists industrial practitioners in evaluating and comparing their network with other competing networks. Here an effective modelling technique, the hybrid Petri-net, is proposed to efficiently handle the dynamic behaviour of the supply chain. This modelling methodology embeds two enticing features, i.e. cost and batch sizes, in deterministic and stochastic Petri-net for the modelling and performance evaluation of supply chain networks. The model is subsequently used for risk management to investigate the issues of supply chain vulnerability and risk that has become a major research subject in recent years. In the test bed, a simple productive supply chain and an industrial supply chain are modelled with fundamental inventory replenishment policy. Subsequently, its performance is evaluated along with the identification and assessment of risk factors using analytical and simulation techniques respectively. Thus, this paper presents a complete package for industrial practitioners to model, evaluate performance and manage risky events in a supply chain.     

An integrated approach to evaluating the production system in closed-loop supply chains

The increasing demands for environmental resource protection and sustainable development have been forcing enterprises to put sustainable supply chain management on their agendas in recent years. At the same time, intense global competition requires organisations to adopt practices that enable them to provide high-quality products and services. In this paper, we consider the problem of comprehensively evaluating the production system in closed-loop supply chains. We first propose an evaluation framework that consists of economic evaluation, product quality evaluation and ecological evaluation modules. Based on mathematical probability theory and the dynamic characteristics of reverse supply chain logistics, we then focus on the evolution dynamics in the quality evaluation dimension, where the concept of product quality, which builds on the reliability and the time-utility value of a product, is proposed. The basic production evaluation model is then extended to incorporate different sustainable procurement strategies, which take into consideration the trade-offs among cost, environment and quality. An outline and corresponding flow chart of corporate procurement strategy optimisation are provided which allow the proposed evaluation model to be implemented in computer-aided decision-making, further providing decision support for production system and supply chain management. Simulation and case studies are presented to promote a better understanding of the model approach and its managerial implications. Results also suggest that quality characteristics of components and sustainable procurement strategies are two important factors that determine the final production performance and should be paid special attention in closed-loop supply chain practice.     

Integrated supply chain risk management via operational methods and financial instruments

Supply chain risk management (SCRM) is an emerging field that generally lacks integrative approaches across different disciplines. This study contributes to narrowing this gap by developing an integrated approach to SCRM using operational methods and financial instruments. We study a supply chain composed of an aluminium can supplier, a brewery and a distributor. The supply chain is exposed to aluminium price fluctuation and beer demand uncertainty. A stochastic optimisation model is developed for managing operational and financial risks along the supply chain. Using this model as a base, we compare the performance of an integrated risk management model (under which operational and financial risk management decisions are made simultaneously) to a sequential model (under which the financial risk management decisions are made after the operational risk management decisions are finalised). Through simulation-based optimisation and using experimental designs and statistical analyses, we analyse the performance of the two models in minimising the expected total opportunity cost of the supply chain. We examine the supply chain performance as a function of three factors, each at three levels: risk aversion, demand variability and aluminium price volatility. We find that the integrated model outperforms the sequential model in most but not in all cases. Furthermore, while the results indicate that the supply chain improves its performance by being less risk averse, there exists a threshold beyond which accepting a higher risk level is not justified. Managerial insights are provided for various business scenarios experimented with.     

Antecedents and enablers of supply chain agility and its effect on performance: a dynamic capabilities perspective

This paper investigates the fundamental building blocks of supply chain agility, which are conceptualised as supply- and demand-side competence. While the former refers to production and supply management related activities, the latter refers to distribution and demand management related activities. The model further assesses the influence of supply chain agility on operational performance, as well as its mediating role in the relationship between supply- and demand-side competence and performance. Within this framework, process compliance, i.e. how well supply chain management processes are internally executed by the firm's employees, is viewed as an enabler (moderator) on the relationship between supply chain competencies and supply chain agility. Theoretical substantiation is provided by the resource-based view of the firm augmented with the dynamic capabilities perspective. The model is tested with data from 121 supply chain management professionals. Implications for both academic theory development and supply chain and production management practice are provided.     

供应链管理中对供方的评价与选择

供应链管理是企业价值链上的重要环节,对供方的选择评价是供应链管理中的一项重要内容。讨论了建立供方评价指标体系应遵循的原则,对供方的评价选择进行了分析,提出了选择评价供方时应注意的几个问题。     

供应链管理实施与组织绩效的关系实证分析

构建了一个描述供应链管理实施及其驱动因素与组织绩效间关系的理论模型,选择西南和华南等地区的企业为调查对象,收集了177个样本数据,以LISREL8.70和SPSS11.5软件包对样本数据进行因子分析.结构方程模型拟合优度评估以及假设检验结果表明:供应链管理实施对组织绩效有显著直接影响;信息技术不仅对供应链管理实施有显著直接影响,而且还通过供应链管理战略对其产生显著间接影响.     

Artificial neural network optimisation methodology for the estimation of the critical flashover voltage on insulators

To describe an artificial neural network (ANN)methodology in order to estimate the critical flashover voltage on polluted insulators is the objective here. The methodology uses as input variables characteristics of the insulator such as diameter, height, creepage distance, form factor and equivalent salt deposit density, and it estimates the critical flashover voltage based on an ANN. For each ANN training algorithm, an optimisation process is conducted regarding the values of crucial parameters such as the number of neurons and so on using the training set. The success of each algorithm in estimating the critical flashover voltage is measured by the correlation index between the experimental and estimated values for the evaluation set, and finally the ANN with the correlation index closest to 1 is specified. For this ANN and the respective algorithm, the critical flashover voltage of the test set insulators is estimated and the respective confidence intervals are calculated through the re-sampling method.