基于ANP方法的电子商务逆向物流研究

电子商务的成功发展需要逆向物流的支持。本文建立了电子商务的逆向物流概念模型，介绍了第三方物流的运营职能。利用ANP方法建立了第三方逆向物流的评估模型，并通过超级决策软件(SD)与AHP模型进行了对比计算。ANP模型可以帮助管理者从战略、运营水平上对供应商选择进行更为全面的决策。     

基于“TOPSIS／DEA／AHP”模型的战略性供应商选择

研究了供应链环境下战略性供应商选择的问题.通过分析和总结供应商评价选择的准则、指标和方法,以供应链核心企业选择战略性供应商为目标,提出了战略性供应商评价的指标体系,利用整体DEA有效模型来反映供应商的绩效,利用AHP反映供应链核心企业选择供应商的主观愿望,从而构建了TOPSIS与整体DEA有效相结合的"TOPSIS/DEA/AHP"战略性供应商评价选择模型,并通过实证分析,证实了该模型及方法的可行性.     

基于不确定语言信息的物流供应商选择

为解决传统供应商的选择与评价过程中专家评判的模糊性和不确定性问题,提出了一种基于不确定语言信息的物流服务供应商选择方法。该方法以不确定语言变量来表征专家的评判从而避免了决策信息的丢失。继而建立了物流服务质量评价属性的权重优化模型,并构造拉格朗日函数来求解该模型,得到评价属性的最优权重。接着利用不确定语言加权几何平均（ULWG）算子集结专家评判信息,则得到供应商的优先排序。给出了基于不确定语言信息的供应商选择的算法步骤和应用实例。     

基于贝叶斯方法的包装企业供应商评价与选择模型

目的建立基于贝叶斯方法的供应商选择模型。方法建立一个供应商选择动态过程,将供应商的历史信息与供应商提供的自身信息联系起来;利用贝叶斯方法对供应商达成采购企业目标的能力进行评判和修订,并进一步评估供应商风险。结果贝叶斯方法为包装企业评价和选择供应商提供了规避风险的有效手段,可以提高包装企业的竞争力。结论基于风险视角下的供应商选择与评价模型,是保证包装企业在控制供应商风险的前提下对供应商进行选择评价的重要工具。     

碳交易下考虑保鲜投入的生鲜品供应商渠道选择研究

针对生鲜品供应商面临的保鲜投入增加但免费碳排放有限问题,利用消费者效用理论构建了碳交易下单一实体渠道、单一网络渠道及双渠道的生鲜品供应商渠道选择模型,采用逆向归纳法得到3种渠道的供应商最优决策,并分析了不同渠道下保鲜投入成本、消费者生鲜品新鲜度偏好及碳交易价格对生鲜品供应商最优决策的影响。研究结果表明：以生鲜品供应商碳收益最大为目标,其最优渠道选择为单一实体渠道,但此时市场需求会有所减少;以生鲜品供应商利润最大为目标,其最优渠道选择为双渠道。     

逆向物流的正向化方法研究

针对现有逆向物流管理系统中信息收集困难,营运设施不健全等特点,通过研究逆向物流信息系统结构,提出将逆向物流正向化的思维方法,使逆向物流在观念中转化为传统的正向物流,以利用现有正向物流的一些技术、信息、设施,来简化对逆向物流的管理,     

考虑不完全语义信息的风险型供应商选择方法

考虑供应商选择中决策者的风险态度,提出了一种考虑不完全语义决策信息的风险型供应商选择方法。结合二元语义模型和D数获取并处理决策者给出的不确定性和不完全的供应商评价信息,基于D数信息融合模型获取集结后的群决策信息。基于累积前景理论对候选供应商进行评价,考虑市场竞争获取前景价值函数,基于综合前景值最大化优化模型获得的指标权重对供应商进行排序。最后以挖掘机救援与现场维修服务供应商的评价与选择为例,验证了所提方法的有效性。     

供应商共享POS信息时的信息挖掘策略与方法

提出了在供应链中充分利用共享的部分信息推知未共享信息的思路,建立了供应商充分利用共享的POS信息推测零售商需求预测方法和库存控制策略的模型,通过实例说明了模型的可行性和有效性,并对供应商准确拟合零售商订货策略的价值进行了探讨,提出了供应商利用前馈信息调节零售商订货行为的思路.     

一个实用的供应商选择模型

研究可获得的指标权重信息仅为指标相对重要性排序的供应商选择问题.首先,构建线性规划模型以确定供应商综合评价值的取值范围;其次,通过简单的变量变换,并根据线性规划的对偶理论得到了模型最优解的显式表达式;最后,利用区间数的排序公式,由综合评价值的区间范围得到各供应商的排序权重.实例分析表明了模型的可行性和有效性.     

不对称信息下逆向供应链契约设计

制造商对废旧产品的回收积极性在很大程度上影响逆向供应链的实施和协调.运用委托代理理论和甄别博弈的显示性原理,探讨不对称信息下逆向供应链契约设计问题.分别基于政府不参与逆向供应链运作、政府对制造商实施奖励、政府对制造商实施奖惩三种前提,建立决策模型,得到不同模型下制造商提供给零售商的契约设计策略.三种契约比较分析显示:政...     

Supplier Selection Based on Process Capability and Price Analysis

Supplier selection is an important part of supply chain management. Among the numerous methods that have been proposed, process capability index is considered to be the most effective technique for identifying quality parts. However, supplier selection should be carried out on the basis of quality and cost together. There is no easy tool available to evaluate the price and quality in an integrated manner. In this article, a new approach to supplier selection using capability index and price comparison (CPC) chart is presented. The CPC chart integrates the process capability and price information of multiple suppliers and presents them in a single chart. It provides a simple but effective method to consider quality and price simultaneously in the supplier selection process.     

Sustainable Supplier Selection Model in Supply Chains During the COVID-19 Pandemic

As global supply chains become more developed and complicated, supplier quality has become increasingly influential on the competitiveness of businesses during the Covid-19 pandemic. Consequently, supplier selection is an increasingly important process for any business around the globe. Choosing a supplier is a complex decision that can result in lower procurement costs and increased profits without increasing the cost or lowering the quality of the product. However, these decision-making problems can be complicated in cases with multiple potential suppliers. Vietnam's textile and garment industry, for example, has made rapid progress in recent years but is still facing great difficulties as the supply of raw materials and machinery depends heavily on foreign countries. Therefore, it is extremely important for textile and garment manufacturing companies in Vietnam to implement an effective supplier evaluation and selection process. While multicriteria decision-making models are frequently employed to assist with supplier evaluation and selection problems, few of these models consider the problem under the condition of a fuzzy decision-making environment. The aim of this paper is to create a hybrid MCDM model using the Fuzzy Analytical Hierarchy Process (FAHP) model and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) to assist the supplier selection process in the garment industry in a fuzzy decision-making environment. In this study, the FAHP method is used to evaluate the performance and the weight of each criterion. TOPSIS is then used to rank all potential suppliers. The proposed model is then applied to a real-world case study to demonstrate both the process of calculation as well as its real-world applicability. The results from the case study provide empirical evidence that the model is feasible. The proposed approach can also be used in combination with other MCDM models to better support decision makers and can be modified to be applied in similar supplier selection processes for different industries.     

Employing dynamic fuzzy membership functions to assess environmental performance in the supplier selection process

The proposed system illustrates that logic fuzzy can be used to aid management in assessing a supplier's environmental performance in the supplier selection process. A user-centred hierarchical system employing scalable fuzzy membership functions implement human priorities in the supplier selection process, with particular focus on a supplier's environmental performance. Traditionally, when evaluating supplier performance, companies have considered criteria such as price, quality, flexibility, etc. These criteria are of varying importance to individual companies pertaining to their own specific objectives. However, with environmental pressures increasing, many companies have begun to give more attention to environmental issues and, in particular, to their suppliers’ environmental performance. The framework presented here was developed to introduce efficiently environmental criteria into the existing supplier selection process and to reflect on its relevant importance to individual companies. The system presented attempts to simulate the human preference given to particular supplier selection criteria with particular focus on environmental issues when considering supplier selection. The system considers environmental data from multiple aspects of a suppliers business, and based on the relevant impact this will have on a Buying Organization, a decision is reached on the suitability of the supplier. This enables a particular supplier's strengths and weaknesses to be considered as well as considering their significance and relevance to the Buying Organization.     

Supplier selection problem revisited from the perspective of product configuration

Collaboration with suppliers is essential for developing and producing a competitive product and it begins with selecting the right suppliers. This article addresses the supplier selection problem from the perspective of product configuration. We discuss first how the conventional decision models of supplier selection should be extended, considering the fact that supplier configuration requires supplier selection for each subsystem of a product. We then highlight the need to consider interrelationships between suppliers, namely, supplier–supplier relationships during the selection process of the combination of suppliers. Finally, we introduce the supplier configuration graph in order to provide a clear picture of the problem. Discussions are provided along with an example of a smartphone configuration.     

Pre-selection of suppliers through an integrated fuzzy analytic hierarchy process and max-min methodology

There are a variety of analytical models for supplier selection ranging from simple weighted techniques to complex mathematical programming approaches. However, these models are specifically aimed at supporting a decision maker in a single phase, especially in the final selection phase and they have failed to consider the supplier selection process from a holistic point of view. Although the methodology presented in this paper primarily focused on the prequalification of potential suppliers, the outputs of the previous phases, namely problem definition and formulation of criteria, are used as inputs in this methodology. The methodology utilises a fuzzy analytic hierarchy process (AHP) method to determine the weights of the pre-selected decision criteria, a max-min approach to maximise and minimise the supplier performances against these weighted criteria, and a non-parametric statistical test to identify an effective supplier set. This information supports decision makers in making the final selection with effective alternative choices. Potential application of the proposed methodology is demonstrated in Audio Electronics in Turkey's electronics industry.     

考虑零售商过度自信的供应链决策与协调

将过度自信引入到供应链中,通过构建由一个供应商和一个过度自信的零售商组成的二级供应链模型,分析了过度自信的零售商与供应商的决策。结果表明,零售商过度自信能够实现供应链协调,但供应商的回购契约会破坏这种协调;当零售商接收到市场不利信息时供应商的回购契约失效,当零售商接收到市场有利信息时供应商利润随过度自信程度增加而减少。进一步在模型中引入收益共享契约,使得订购量和供应商的利润均增加,并实现了供应链协调。最后,通过数值算例验证并阐明了相关结论。     

Fuzzy hybrid decision model for supplier evaluation and selection

This paper proposes a structured, integrated decision model for evaluating suppliers by combining the fuzzy analytical hierarchy process (FAHP) and grey relational analysis (GRA). The qualitative and partially-known information is incorporated in this decision model using the fuzzy set theory. In this proposed methodology, the weights of the evaluation criteria are calculated by using FAHP, then the ranking of the suppliers is determined by using GRA. Finally to show the robustness of the model, a sensitivity analysis is also performed. In this study, the supplier selection problem of an electroplating industry in the southern part of India was investigated, demonstrating the effectiveness of this developed integrated model. This model can help in solving the complex decision in supplier selection practice. The results generated from the model are properly validated and finally a systematic solution with decision support is provided for decision makers. This model can be integrated with other decision support systems of similar kinds of industries.     

Global supplier selection: a fuzzy-AHP approach

Global supplier selection has a critical effect on the competitiveness of the entire supply chain network. Research results indicate that the supplier selection process appears to be the most significant variable in deciding the success of the supply chain. It helps in achieving high quality products at lower cost with higher customer satisfaction. Apart from the common criteria such as cost and quality, this paper also discusses some of the important decision variables which can play a critical role in case of the international sourcing. The importance of the political-economic situation, geographical location, infrastructure, financial background, performance history, risk factors, etc., have also been pointed out in particularly in the case of global supplier selection. Supplier selection problem related to the global sourcing is more complex than the general domestic sourcing and as a result it needs more critical analysis, which could not be found properly in past available literatures. This paper discusses the fuzzy based Analytic Hierarchy Process (fuzzy-AHP) to efficiently tackle both quantitative and qualitative decision factors involved in selection of global supplier in current business scenario. The fuzzy-AHP is an efficient tool to tackle the fuzziness of the data involved in deciding the preferences of the different decision variables involved in the process of global supplier selection. The triangular fuzzy numbers are used to transform the linguistic comparison of the different decision criteria, sub-criteria and performance of the alternative suppliers. The pairwise comparison matrices help in deciding the synthetic extent value of each comparison and finally, the priority weights of one alternative over another are decided in this paper. An example from a manufacturing industry searching for the global supplier for a critical component is used to demonstrate the effective implementation procedure of proposed fuzzy-AHP technique. The proposed model can provide the guidelines and directions for the decision makers to effectively select their global suppliers in the current competitive business scenario.     

产品生命周期过程(横向集成)供应商选择模型研究

通过分析集成化供应链管理环境下供应商选择过程,给出了选择指标体系及选择步骤。在此基础上,建立了“横向”集成型企业供应商选择的模糊综合评价选择模型。应用此模型可对选择最满意的供应商做出相应的决策。