IT服务供需双边匹配的模糊多目标决策方法

描述了IT服务外包中的供给方与需求方的双边匹配决策问题。为了解决该问题,针对IT服务的供给方和需求方分别给出的语言满意度评价信息,将语言评价信息转化为三角模糊数并进行多指标信息的集结运算。在此基础上,考虑以供给方和需求方双方满意度最大为目标,构建了IT服务供需双边匹配的模糊多目标优化模型,并采取将模糊多目标优化模型转化为单目标线性规划模型的方式进行求解得到匹配结果。实例计算表明,提出的方法具有可行性和实用性。     

基于犹豫直觉模糊语言集均值-标准差偏好距离的多属性决策研究

在犹豫直觉模糊语言集和语言尺度函数的基础上定义了均值-标准差偏好的Hamming距离，并提出了基于犹豫直觉模糊语言集距离TOPSIS和TODIM的多属性决策方法，进一步利用这两种方法对实例问题建筑商的招标方案进行排序，并讨论了偏好参数对排序结果的灵敏度分析。为验证上述方法的有效性，与已有方法对同一实例的排序结果进行了比较分析。     

基于证据推理和广义Shapley值的扩展概率语言多属性群决策方法

扩展概率语言词集通过语言变量概率分布的调整能够转化为多种语言信息表示模型,是语言变量、不确定语言信息、扩展犹豫模糊语言词集、分布语言评估信息、概率语言词集等的一般化,具有较强的通用性和实用性,是处理不确定性信息的重要工具。鉴于此,本文针对扩展概率语言环境下的多属性群决策问题,提出基于证据推理和广义Shapley值的多属性群决策方法。首先,提出扩展概率语言词集的定义和相关基础理论。其次,将广义Shapley值和证据推理相结合用于专家信息融合,并将广义Shapley值和TODIM方法相结合用于备选方案排序。再次,提出基于灰色关联法的权重确定模型来处理专家/属性权重部分未知的情况。最后,以绿色供应商选择为例进行分析,通过对比分析验证所提方法的有效性和优越性。     

Supplier Rationalization: A Sourcing Decision Model

We draw on extant literature on strategic sourcing and supply base rationalization to anchor our argument that measuring supplier performance diversity is germane to executing an effective supply base rationalization strategy. We explicate how a novel approach to data envelopment analysis (DEA) efficiency assessment can be utilized to measure this performance diversity. More specifically, our methods are anchored in cross efficiency analysis in DEA that allows for evaluating the efficiency of a supplier with respect to the optimal weights (strengths) of its peers. This methodology is applied to an actual supplier dataset of a large multinational telecommunications company in categorizing their supply base into groups for effective supplier rationalization. We conclude that measuring and analyzing the performance diversity within the framework of DEA provides a mechanism for firms to better balance a rationalized and diversified supply base with unique skills.     

基于非均匀性语言标度和DLWA算子的动态绩效模糊群决策研究

基于企业人力资源管理(HRM)系统中职能管理部门年度绩效考核决策评价和选优序列生成过程中的数据的不确定性、随机性和模糊性,通过设计季度绩效多维度模糊评价体系,采用非均匀加性语言评估标度定性的多维度评价,构建动态加性语言判断矩阵模型,利用DLWA算子等语言信息集成算子,集成多个决策者不同时期绩效指标评价数据,并整合不同决策者的偏好度,综合呈现年度部门业绩选优序列,优化提升职能管理部门绩效考核决策的精确性、公平性和可信度。     

基于Mo-RVIKOR的混合多属性决策方法

针对复杂性和不确定性多属性决策问题,考虑定量和定性融合的属性形式,提出了模块化随机多准则妥协解排序法（Modular Random VlseKriterijumska Opti-mizacija I Kompromisno Resenje,Mo-RVIKOR）,该方法无需将信息统一,就能处理多种信息形式存在的多属性决策问题。采用精确数、随机变量处理定量评价信息,用概率语义术语集处理定性评价信息;通过改进离差最大化法确定属性权重;根据Mo-RVIKOR对决策对象进行排序;最后以某公司C2B定制化服务质量评测项目为例,验证了所提方法的有效性。     

Green supply chain performance measurement using the analytic hierarchy process: a comparative analysis of manufacturing organisations

The main purpose of this research is to develop and deploy an analytical framework for measuring the environmental performance of manufacturing supply chains. This work's theoretical bases combine and reconcile three major areas: supply chain management, environmental management and performance measurement. Researchers have suggested many empirical criteria for green supply chain (GSC) performance measurement and proposed both qualitative and quantitative frameworks. However, these are mainly operational in nature and specific to the focal company. This research develops an innovative GSC performance measurement framework by integrating supply chain processes (supplier relationship management, internal supply chain management and customer relationship management) with organisational decision levels (both strategic and operational). Environmental planning, environmental auditing, management commitment, environmental performance, economic performance and operational performance are the key level constructs. The proposed framework is then applied to three selected manufacturing organisations in the UK. Their GSC performance is measured and benchmarked by using the analytic hierarchy process (AHP), a multiple-attribute decision-making technique. The AHP-based framework offers an effective way to measure and benchmark organisations’ GSC performance. This study has both theoretical and practical implications. Theoretically it contributes holistic constructs for designing a GSC and managing it for sustainability; and practically it helps industry practitioners to measure and improve the environmental performance of their supply chain.     

Global supplier development considering risk factors using fuzzy extended AHP-based approach

Global supplier development is a multi-criterion decision problem which includes both qualitative and quantitative factors. The global supplier selection problem is more complex than domestic one and it needs more critical analysis. The aim of this paper is to identify and discuss some of the important and critical decision criteria including risk factors for the development of an efficient system for global supplier selection. Fuzzy extended analytic hierarchy process (FEAHP) based methodology will be discussed to tackle the different decision criteria like cost, quality, service performance and supplier's profile including the risk factors involved in the selection of global supplier in the current business scenario. FEAHP is an efficient tool to handle the fuzziness of the data involved in deciding the preferences of different decision variables. The linguistic level of comparisons produced by the customers and experts for each comparison are tapped in the form triangular fuzzy numbers to construct fuzzy pair-wise comparison matrices. The implementation of the system is demonstrated by a problem having four stages of hierarchy which contains different criteria and attributes at wider perspective. The proposed model can provide not only a framework for the organization to select the global supplier but also has the capability to deploy the organization's strategy to its supplier.     

基于Heronian平均算子的Pythagorean模糊不确定语言决策方法

针对评价信息为Pythagorean模糊不确定语言数、属性权重未知且属性间相互影响的多属性决策问题,提出一种基于灰色关联法和Heronian平均算子的决策方法。首先,提出Pythagorean模糊不确定语言Heronian平均（PFULHM）算子和Pythagorean模糊不确定语言几何Heronian平均（PFULGHM）算子,并证明其满足幂等性、单调性、有界性及可交换性。考虑到属性权重之间重要程度的差异,定义了Pythagorean模糊不确定语言加权Heronian平均（PFULWHM）算子和Pythagorean模糊不确定语言加权几何Heronian平均（PFULWGHM）算子。其次,将灰色关联法运用到Pythagorean模糊不确定语言环境中求解属性权重。最后,提出基于PFULWHM算子和PFULWGHM算子的决策方法,并通过算例分析说明本文提出方法的有效性。     

一种基于TOPSIS的混合型多属性群决策方法

本文针对具有语言型和直觉模糊数两种评价信息的混合型多属性群决策问题,提出了一种基于TOPSIS的决策方法。首先,定义了新的函数,可将不同粒度的语言评价信息转换成直觉模糊数。其次,在直觉模糊数熵值的基础上,提出了一种新的专家权重确定模型。再次,利用IFWA算子在把个体决策矩阵集结为群体决策矩阵后,基于TOPSIS分别计算群体评价值到正理想解和负理想解的距离,从而得到方案集的排序。最后,在ERP选优问题中的应用,验证了方法的有效性。     

一种语言评价信息不完全的多属性群决策方法

针对语言评价信息不完全的多属性群决策问题,提出了一种基于D-S理论的新决策方法。该方法首先对多个决策者给出不完全的语言评价信息进行分析,得到不同属性下各焦元的基本概率分配函数值,然后通过Dempster-Shafer合成法则对其值进行合成,计算决策方案的信度函数和似真函数值,并据此对所有决策方案进行排序。最后,通过一个算例验证该方法的可行性和有效性。     

Supply Chain Sourcing Under Asymmetric Information

We study a supply chain with two suppliers competing over a contract to supply components to a manufacturer. One of the suppliers is a big company for whom the manufacturer's business constitutes a small part of his business. The other supplier is a small company for whom the manufacturer's business constitutes a large portion of his business. We analyze the problem from the perspective of the big supplier and address the following questions: What is the optimal contracting strategy that the big supplier should follow? How does the information about the small supplier's production cost affect the profits and contracting decision? How does the existence of the small supplier affect profits? By studying various information scenarios regarding the small supplier's and the manufacturer's production cost, we show, for example, that the big supplier benefits when the small supplier keeps its production cost private. We quantify the value of information for the big supplier and the manufacturer. We also quantify the cost (value) of the alternative‐sourcing option for the big supplier (the manufacturer). We determine when an alternative‐sourcing option has more impact on profits than information. We conclude with extensions and numerical examples to shed light on how system parameters affect this supply chain.     

基于一致性局部调整算法和DEA的语言偏好决策模型

设计一致性调整算法和计算可靠的方案排序权重向量已成为近年来备受关注的两个重要研究课题。针对决策信息为语言偏好关系的决策问题，提出一种基于一致性局部调整算法和数据包络分析（DEA）方法的语言偏好决策模型。首先，基于局部调整策略设计一种收敛的乘性一致性调整算法，该算法不仅使得调整后的语言偏好关系具有满意乘性一致性，而且能够尽可能多的保存原始决策信息；其次，基于提出的新型语言DEA模型构造一种语言偏好决策模型用以确定方案的排序权重向量，进而得到合理可靠的决策结果。最后，将提出的语言偏好决策模型用于供应商的选择实例，对比分析实验验证了模型的合理性和有效性。     

语言信息评估新标度及其应用

对已有语言信息的评估标度进行了分析,指出了它们的不足,提出了一种实用的语言信息评估新标度.利用语言评估新标度、以及语言加权平均(LWA)算子和语言混合集成(LHA)算子,对江苏省企业技术创新管理进行评估.理论分析和数值结果表明:该法不仅简洁可行,而且不丢失任何决策信息.     

Developing a supplier selection system through integrating fuzzy AHP and fuzzy DEA: a case study on an auto lighting system company in Taiwan

Supplier selection plays a very important role in supply chain management. This study intends to develop a novel performance evaluation method, which integrates both fuzzy analytical hierarchy process (AHP) method and fuzzy data envelopment analysis (DEA) for assisting organisations to make the supplier selection decision. Fuzzy AHP method is first applied to find the indicators’ weights through expert questionnaire survey. Then, these weights are integrated with fuzzy DEA. We use α -cut set and extension principle of fuzzy set theory to simplify the fuzzy DEA as a pair of traditional DEA model. Finally, fuzzy ranking using maximising and minimising set method is able to rank the evaluation samples. A case study on an internationally well-known auto lighting OEM company shows that the proposed method is very suitable for practical applications.     

一种具有不同粒度语言判断矩阵的群决策方法

针对具有不同粒度语言判断矩阵形式的偏好信息的群决策问题,提出了一种基于二元语义运算的群决策方法.在该方法中,首先给出了不同粒度语言判断矩阵的定义;然后给出了不同粒度语言判断矩阵一致化为由基本语言评价集表示的二元语义信息的方法,并且采用近年来最新发展的关于二元语义信息集结的加权平均算子和语言优势度直接对语言短语进行运算,最终确定最优方案;最后给出了一个算例.     

An integrative approach to assess environmental and economic sustainability in multi-tier supply chains

Abstract

Multi-tier supply chain sustainability is paramount to achieve corporate sustainability, due to the significant impacts from organisations beyond the focal firm boundaries and its direct suppliers. However, including environmental considerations within the dominant profit-centric logic of supply chain related decisions is prone to generate sustainability tensions. This work aims to support organisations address tensions between sustainability dimensions by adopting an integrative approach for sustainable supply chain management performance assessment thanks to an innovative eco-intensity based performance assessment method, which achieves a balanced consideration of environmental and economic performance in a weak sustainability perspective. The method, using primary data sourced from actual practice and featuring an indirect multi-tier approach with decentralised responsibilities across organisations, is applied to a case study of a machinery supply chain. The proposed integrative approach can support addressing sustainability tensions in the area of sustainable supply chain management, facilitate sustainable supplier evaluation and identify supply chain hotspots for operational improvement.     

Supply chain management: a supplier perspective

A new way of researching into supply chain management is introduced by adopting a supplier perspective. Details are given of mixed integer linear planning and simulation models. The planning model takes into consideration firm and forecast orders (customer's forecast purchasing orders) and the behaviour of the supplier's suppliers and suppliers' subcontractors. The simulation model takes into account the dynamic behaviour of the supply chain and includes the planning production behaviour of a supplying company based on the planning model. The supplier manager can use the simulation model to determine what kind of parameters most affect company performances and then propose new management rules. Quantitative results that prove the benefits of integrating forecast orders for an aeronautic supplier have been provided.     

供应商机会主义行为对信息共享与运营绩效的影响

在交易成本理论基础上,构建供应商机会主义行为、信息共享与运营绩效之间关系的理论模型。以广东省珠三角地区189家制造企业为研究对象,利用结构方程模型对供应商机会主义行为、信息共享与运营绩效的关系进行实证研究。将信息共享划分为信息共享内容和信息共享质量两个维度,将运营绩效划分为速度、服务和财务3个维度。研究结果表明,在供应商机会主义行为与信息共享的关系层面,供应商机会主义行为对信息共享内容和信息共享质量均有显著的负向影响;在信息共享与运营绩效的关系层面,信息共享内容和信息共享质量均对运营绩效有显著的正向影响;而供应商机会主义行为对运营绩效有显著的负向影响。根据上述实证研究结论给出供应链企业和政府的相关管理启示。