Using the analytic network process (ANP) in a SWOT analysis - A case study for a textile firm

Strengths, Weaknesses, Opportunities and Threats (SWOT) analysis does not provide an analytical means to determine the importance of the identified factors or the ability to assess decision alternatives according to these factors. Although the analysis successfully pinpoints the factors, individual factors are usually described briefly and very generally. For this reason, SWOT analysis possesses deficiencies in the measurement and evaluation steps. Although the analytic hierarchy process (AHP) technique removes these deficiencies, it does not allow for measurement of the possible dependencies among the factors. The AHP method assumes that the factors presented in the hierarchical structure are independent; however, this assumption may be inappropriate in light of certain internal and external environmental effects. Therefore, it is necessary to employ a form of SWOT analysis that measures and takes into account the possible dependency among the factors. This paper demonstrates a process for quantitative SWOT analysis that can be performed even when there is dependence among strategic factors. The proposed algorithm uses the analytic network process (ANP), which allows measurement of the dependency among the strategic factors, as well as AHP, which is based on the independence between the factors. Dependency among the SWOT factors is observed to effect the strategic and sub-factor weights, as well as to change the strategy priorities.     

基于物元特征关联度及网络层次分析法的评价及应用

本文基于物元分析理论及MINE算法的思想,提出了物元特征关联度的定义;将物元特征关联度应用到网络层次分析法（ANP）评价方法中,构造了股票价值评估的客观赋权模型,并给出了股票价值评估的ME-ANP算法,以上市公司的财务数据为基础,对股票价值给予具体评估,同时说明了本文所构建的模型及算法的有效性。     

An integrated DEMATEL and Fuzzy ANP techniques for evaluation and selection of outsourcing provider for a telecommunication company

In recent years, strategy aspects related to core competency, risk analysis and organizational flexibility especially have been growing. This trend has led researchers and industries to become more interested in the multi-criteria decision making (MCDM) models for selecting outsourcing providers. The efficiency of decision-making mostly depends on the ability of decision-makers analyzing the complex cause and effect relationship between criteria and taking effective actions based on the analysis. Using an analytical method to select the most eligible outsourcing provider is significant for a company which desires to improve its competitiveness. In this study, a fuzzy integrated multi-criteria decision making method for evaluation and determination of an outsourcing provider for a telecommunication company is analyzed by using DEMATEL and Fuzzy ANP multi-criteria decision making techniques. First, DEMATEL method is used in order to put forward the interrelationship among the main criteria which are determined in the study for outsourcing selection process. Then, local weights of the sub-criteria and sub-subcriteria are calculated by Fuzzy ANP approach on the basis of cause-effect relationships that are exposed through DEMATEL method. The local weights are put into ANP supermatrix, and calculations are implemented to select out the most eligible outsourcing provider.     

Choosing knowledge management strategies by using a combined ANP and DEMATEL approach

Numerous companies are expecting their knowledge management (KM) to be performed effectively in order to leverage and transform the knowledge into competitive advantages. However, here raises a critical issue of how companies can better evaluate and select a favorable KM strategy prior to a successful KM implementation. The KM strategy selection is a kind of multiple criteria decision-making (MCDM) problem, which requires considering a large number of complex factors as multiple evaluation criteria. A robust MCDM method should consider the interactions among criteria. The analytic network process (ANP) is a relatively new MCDM method which can deal with all kinds of interactions systematically. Moreover, the Decision Making Trial and Evaluation Laboratory (DEMATEL) not only can convert the relations between cause and effect of criteria into a visual structural model, but also can be used as a way to handle the inner dependences within a set of criteria. Hence, this paper proposes an effective solution based on a combined ANP and DEMATEL approach to help companies that need to evaluate and select KM strategies. Additionally, an empirical study is presented to illustrate the application of the proposed method.     

An integrated approach for rating engineering characteristics’ final importance in product-service system development

Product-service system (PSS) approach has emerged as a competitive strategy to impel manufacturers to offer a set of product and services as a whole. A three-domain PSS conceptual design framework based on quality function deployment (QFD) is proposed in this research. QFD is a widely used design tool considering customer requirements (CRs). Since both product and services influence satisfaction of customer, they should be designed simultaneously. Identification of the critical parameters in these domains plays an important role. Engineering characteristics (ECs) in the functional domain include product-related ECs (P-ECs) and service-related ECs (S-ECs). ECs are identified by translating customer requirements (CRs) in the customer domain. Rating ECs’ importance has a great impact on achieving an optimal PSS planning. The rating problem should consider not only the requirements of customer, but also the requirements of manufacturer. From the requirements of customer, the analytic network process (ANP) approach is integrated in QFD to determine the initial importance weights of ECs considering the complex dependency relationships between and within CRs, P-ECs and S-ECs. In order to deal with the vagueness, uncertainty and diversity in decision-making, the fuzzy set theory and group decision-making technique are used in the super-matrix approach of ANP. From the requirements of manufacturer, the data envelopment analysis (DEA) approach is applied to adjust the initial weights of ECs taking into account business competition and implementation difficulty. A case study is carried out to demonstrate the effectiveness of the developed integrated approach for prioritizing ECs in PSS conceptual design.     

基于云化ANP的巷道冒顶影响因素重要性研究

为了解巷道冒顶事故影响因素之间的关系及导致事故发生的重要性排序,根据专家评判语言的特点及各因素之间存在的语义网络联系性,提出了将云模型嵌入ANP来解决上述问题,即云化ANP模型。该模型既有云模型处理不确定信息的能力,也具有ANP处理网状因素系统的能力,尤其适合处理冒顶这类具有不确定性数据的分析问题。给出了云化ANP的构建过程和分析步骤。结合专家调查所得数据分析了影响冒顶因素的重要性排序,所举实例分析的因素重要性排序为:稳定岩层距巷道顶板表面的距离 >地下水渗水量 >巷道的跨度 >稳定岩层厚度 >顶板岩石的抗压强度 。最后将云化ANP算法应用于类似算法所处理的例子,通过这些例子的结果分析了云化ANP算法的正确性。     

A novel hybrid MCDM approach based on fuzzy DEMATEL, fuzzy ANP and fuzzy TOPSIS to evaluate green suppliers

It is well known that “green” principles and strategies have become vital for companies as the public awareness increased against their environmental impacts. A company’s environmental performance is not only related to the company’s inner environmental efforts, but also it is affected by the suppliers’ environmental performance and image. For industries, environmentally responsible manufacturing, return flows, and related processes require green supply chain (GSC) and accompanying suppliers with environmental/green competencies. During recent years, how to determine suitable and green suppliers in the supply chain has become a key strategic consideration. Therefore this paper examines GSC management (GSCM) and GSCM capability dimensions to propose an evaluation framework for green suppliers. However, the nature of supplier selection is a complex multi-criteria problem including both quantitative and qualitative factors which may be in conflict and may also be uncertain. The identified components are integrated into a novel hybrid fuzzy multiple criteria decision making (MCDM) model combines the fuzzy Decision Making Trial and Evaluation Laboratory Model (DEMATEL), the Analytical Network Process (ANP), and Technique for Order Performance by Similarity to Ideal Solution (TOPSIS) in a fuzzy context. A case study is proposed for green supplier evaluation in a specific company, namely Ford Otosan.     

An integrated model for supplier selection process

0　ＩＮＴＲＯＤＵＣＴＩＯＮＩｎｔｏｄａｙ’ｓｈｉｇｈｌｙｃｏｍｐｅｔｉｔｉｖｅｍａｎｕｆａｃｔｕｒｉｎｇｅｎ ｖｉｒｏｎｍｅｎｔ,ｍａｎｕｆａｃｔｕｒｉｎｇｃｏｍｐａｎｉｅｓｍｕｓｔｃｏｎｓｔａｎｔｌｙａｓｋｔｈｅｍｓｅｌｖｅｓｔｈｅｓｅｔｏｕｇｈｑｕｅｓｔｉｏｎｓ :Ｄｏｗｅｈａｖｅｔｈｅｂｅｓｔｓｕｐｐｌｉｅｒｓａｔｔｈｅｌｏｗｅｓｔｐｏｓｓｉｂｌｅｐｒｉｃｅｓ?Ａｒｅｗｅｇｅｔｔｉｎｇａｎｄｓｅｎｄｉｎｇｍａｔｅｒｉａｌｓａｓｑｕｉｃｋｌｙａｓｐｏｓｓｉｂｌｅ ?Ａｄｄｉｔｉｏｎａｌｌｙ ,ｔｈｅ…     

基于ANP超级决策软件中的智能评估计算与应用

介绍了基于ANP的超级决策软件的各种复杂计算以及在模糊评估中的应用,包括模糊输入、模糊语言的量化及其它们之间的比较、计算,为实现决策方案的评估提供了一种智能化的手段。最后,从应用的角度给出了Super Decision软件的评估计算,并成功地利用该软件对招标评标项目的不同方案进行了评估。     

基于 FCE 的建筑企业精益建造实施效果评价

:建筑企业内精益建造实施的效益评价问题是实现建筑企业快速发展的重要措施之一,为建筑企业管理者精准制定企业发展战略提供理论依据。从目标达成、精益工具及技术、浪费控制、精益氛围4 个维度构建了建筑企业精益建造实施效果评价指标体系,在考虑指标间相互影响和关联的基础上,运用网络分析法（ANP）和熵权法（EWM）相结合的组合赋权法确定各指标重要程度,结合模糊综合评价法（FCE）建立了建筑企业精益建造实施效果评价模型。并以中建某公司为例对所构建的综合评价模型进行验证,为建筑企业精益建造实施效果的评价提供借鉴。