基于模糊物元分析的航材仓库选址决策

在分析空军航材仓库选址影响因素的基础上,基于模糊物元分析原理,建立了航材仓库选址决策的模糊物元分析法。模糊物元分析法可对航材仓库选址决策进行定量分析,从而确定各选址方案的排序。最后,结合实例进行了应用分析,获得了满意的结果。航材仓库选址决策的模糊物元分析法,为空军航材仓库选址决策提供了一种更为科学、有效的方法。     

基于模糊聚类的物流中心体系选址决策研究

根据物流中心体系综合选址问题的特点,将模糊聚类分析方法运用于其选址决策中。并给出模糊聚类的基本思想和基于模糊聚类物流中心体系综合选址的分析步骤,通过算法运用说明该方法在实际问题中的应用,并指出其在应用中应注意的问题。     

基于FCM的应急系统选址分类优化

采用模糊C均值聚类分析法（FCM）对应急系统建设的备选地址依据其影响及约束因素进行了分级优化,以便于不同要求的应急服务设施的选址决策。     

双配送中心选址方法

研究了双配送中心选址问题．将聚类算法、重心法、模糊综合评价、层次分析法相结合构造了一个解决双配送中心选址问题的算法。首先根据聚类算法思想将整个配送服务区域划分为两部分,再运用重心法对每个部分进行配送中心初始选址,得出几个备选地址,然后将层次分析法及模糊综合评价法相结合对备选地址进行筛选,得到最佳选址方案。除了考虑费用、利润等因素以外,还综合考虑了各种自然、社会、政治等因素,因此得到的结果更符合实际。     

物流网络中多设施选址模型

对物流设施选址的影响因素进行了具体地分析,运用层次分析法(AHP)建立物流选址规划方案的评价指标体系,并应用模糊理论将各指标模糊量化,对经过筛选的方案进行模糊综合评判,从而得到最佳方案,较好的解决了物流网络中多设施选址的问题。     

模糊层次分析法在物流园区选址中的应用

物流园区选址是关系物流网络整体效益的重要环节。考虑到传统的层次分析法在选址应用中的局限性,引入模糊层次分析法。通过分析影响物流园区选址的主要因素,建立了选择方案的评价指标体系,运用模糊层次分析法,得到各影响因素的重要性权重,为具体方案的评价选优提供依据。模糊层次分析法的应用,使物流园区的选址过程高效、合理,具有一定的实用性。     

地区比较优势与企业选址——新结构经济学的一个微观应用

选址是企业发展初期最重大的决策行为,影响企业选址的绝对优势因素已经得到了深入的分析,但是比较优势的作用尚未引起注意。本文以新结构经济学为基础,指出地区比较优势在企业选址中的作用,即企业选址要符合当地的比较优势,才能获得更好的发展。通过构建衡量地区比较优势的指标,本文提出一个可操作的一般化程序,可用于企业选址实践中。本文从企业选址的角度拓展了新结构经济学的应用,对企业选址决策中如何考虑地区经济环境提供了重要的分析准则。     

配送中心选址影响因素的结构方程模型分析

目前国内外对配送中心选址方法的研究大致可分为定性和定量两大类，且存在一定的应用局限。本文提出一种结构方程模型．可以比较客观地、全面地对选址方案的影响因素进行识别，较为客观地计算出各影响因素的权重．有利于决策。     

基于人工神经网络的物流中心选址决策模型研究

物流中心选址在整个物流系统规划中占有十分重要的位置,需要决策者综合考虑多个因素。本文根据物流环境、生产能力和经济效益三方面组成的10个评价指标和单因素评价标准,应用BP神经网络方法对某市物流中心选址进行决策研究。根据单因素评价标准生成足够多用于神经网络建模用的训练样本、检验样本和测试样本,用检验样本实时监控训练过程以避免出现“过训练”现象,建立可靠的BP模型。示例计算结果表明：与多级模糊综合评价方法相比,本文建立的BP神经网络决策模型具有定量分析和比较精细、客观的特点,在物流中心选址决策研究中具有较好的应用价值。     

基于AHP-TOPSIS的农村电商末端网点选址问题研究——以建昌县为例

针对农村电商在末端选址的过程中可能出现的影响因素选取单一化、选址结果模糊性高的问题,提出了基于AHP-TOPSIS的农村电商末端选址模型。文章综合考虑了影响农村电商末端选址的影响因素,运用AHP法构建了选址评价指标体系并确定了各指标权重;引入TOPSIS法比较各备选地址与正负理想解的距离,根据相对接近度的大小,优选最适合农村电商发展的末端选址方案。以建昌县为例,应用该模型进行选址决策,验证了模型的可行性和有效性。     

Locating the competitive relation of global logistics hub using quantitative SWOT analytical method

Evaluating the competitive position of location develops global logistics hub (GLH) is a multiple criteria decision-making (MCDM) problem and it is important for governor to implement suitable strategies appropriate its environment. SWOT analysis is very important in the process of strategic formulation. Under many conditions, the evaluative criteria (indicators) are mixed with quantitative/qualitative values and the values for qualitative criteria are often imprecisely defined for decision-makers. A quantified SWOT analytical method, that integrates the method of fuzzy Analytic Hierarchy Process (AHP) method, was proposed to provide more detailed and quantified data for SWOT environmental analysis to assess the competitive relation for locations develop different types’ GLH in Pacific–Asian region. Integrating the concept of Grand Strategy Matrix (GSM), a suitable competing strategy could be suggested for location developing GLH in accordance with its competitive position.     

Fuzzy grey relation method for multiple criteria decision-making problems

Combining the concepts of fuzzy set theory, entropy, ideal, and grey relation analysis, a fuzzy grey relation method for multiple criteria decision-making problems is proposed. First, triangular fuzzy numbers and linguistic values characterized by triangular fuzzy numbers are used to evaluate the importance weights of all criteria and the superiority of all alternatives versus various criteria above the alternative level. Then, the concept of entropy is utilized to solve the adjusted integration weight of all objective criteria above the alternative level. Furthermore, using the concepts of ideal, the grey ration grades of various alternatives versus ideal solution are ranked to determine the best alternative. Finally, a numerical example of selecting most appropriate company to build a new highway is used to demonstrate the applicability of proposed method. The study results show that this method is an effective means for tackling MCDM problems in fuzzy and grey environments.     

Prioritizing disaster-prone areas for large-scale earthquakes' preparedness: Methodology and application

This paper presents a new hybrid fuzzy multi-attribute decision-making approach to prioritize disaster-prone areas which are known as potential demand points (PDPs) regarding their vulnerability under large-scale earthquakes. Significant criteria for prioritizing PDPs are first determined. Then, the fuzzy DEMATEL is applied to specify interrelationship between the criteria, and the weights of criteria are achieved by the fuzzy ANP. Finally, the fuzzy PROMETHEE II is used to rank the PDPs. The proposed methodology is validated using a conventional relief pre-positioning network design model. Numerical results demonstrate the applicability and usefulness of the presented approach in configuring a more responsive relief network in practice.     

Outsourcing logistics operations in circular economy towards to sustainable development goals

One of novel manners to achieve sustainable development is concentrating on circular economy in order to manage greenhouse gas emissions, energy consumption, and waste. It also helps to protect the environment and optimize usage of input resources. The main element of circular economy is closed-loop supply chain which covers both forward and reverse products flows. This study aims to outsource logistics operations in a closed-loop supply chain. An innovative analytical multi-step fuzzy decision-making method is proposed to rank sustainable third-party logistics service providers (3PLSPs). Fuzzy Decision-Making Trial and Evaluation Laboratory (DEMATEL) is first used to evaluate the relationships among the main criteria. Then, fuzzy analytic network process (ANP) is applied to weight the determined set of criteria. In order to develop the hybrid fuzzy DEMATEL-ANP method and to simplify the computation, the expert judgment method is used between the two techniques as a middle step to reduce the number of criteria. As many of the criteria overlap with each other on content and context, expert opinions are used to shortlist and rank the criteria. Finally, the 3PLSPs are ranked through the fuzzy complex proportional assessment (COPRAS) method. To validate the practicability and applicability of the improved decision-making model, a household appliance case study is applied with data obtained from industry experts. In this case, five service providers are considered and ranked, while the first one gets the best score. A sensitivity analysis is performed by altering the criteria weights to validate the proposed approach, data, and the obtained results. In terms business and the environment, this study provides success critical criteria for decision-making problems in circular economy for addressing sustainable development.     

GIS-based fuzzy multi-criteria approach for optimal site selection of fire stations in Istanbul,Turkey

Fire stations play a central role in protection and response activities as part of emergency management services in cases of fire incidences. With the rising urban populations and city expansions, the demand for more fire services resultantly increases. It then becomes critical to effectively plan the location of emergency facilities to adequately service the population and ensure the protection of lives and infrastructure. This study, therefore proposes the use of the fuzzy extension of the Multi-Criteria Decision-Making (MCDM) method of Analytical Hierarchical Process (AHP), hence called fuzzy AHP, integrated with Geographic Information Systems (GIS) approach to optimally site new fire stations for the case of Istanbul region. This proposed fuzzy approach simulates the subjective expert judgements for the preferences of the six criteria assessed for fire station suitability mapping and thereby accounted for the uncertainty of crisp comparison values via triangular fuzzy numbers (TFNs). The criteria weights evaluated from this procedure were used in a weighted overlay analysis of the reclassified criteria map layers in ArcGIS to generate a fire station suitability map. These resultant fuzzy AHP criteria weights were validated using another MCDM technique, called Best-Worst Method (BWM) and found to be comparable and consistent. The criteria that had the strongest influence on the selection of sites for fire stations were identified to be: the density of hazardous material facilities (DHM), a high population density (HPD) and proximity to main roads (PMR) with associated weights of 33.3%, 24.4% and 15.2%, respectively. Based on a thorough assessment within the areas represented by class values ranging from 3 to 5 on the suitability map, a total of 34 new fire station sites were selected complementing the existing 121 fire stations. Further, a prioritization analysis from low, medium to high, was performed to plan the phases for the construction of new fire stations in view of competing budgetary needs and resource constraints. The methodology to achieve this was proposed and modelled for enhancing the decision-making process in urban fire station site selection studies.     

Optimization of the facility location-allocation problem in a customer-driven supply chain

This paper develops and applies an integrated multiple criteria decision making approach to optimize the facility location-allocation problem in the contemporary customer-driven supply chain. Unlike the traditional optimization techniques, the proposed approach, combining the analytic hierarchy process (AHP) and the goal programming (GP) model, considers both quantitative and qualitative factors, and also aims at maximizing the benefits of deliverer and customers. In the integrated approach, the AHP is used first to determine the relative importance weightings or priorities of alternative locations with respect to both deliverer oriented and customer oriented criteria. Then, the GP model, incorporating the constraints of system, resource, and AHP priority is formulated to select the best locations for setting up the warehouses without exceeding the limited available resources. In this paper, a real case study is used to demonstrate how the integrated approach can be applied to deal with the facility location-allocation problem, and it is proved that the integrated approach outperforms the traditional cost-based approach.     

Enhance the evaluation quality of project performance based on fuzzy aggregation weight effect

The small and medium enterprises had played an important role during the economy development at Taiwan. Under the competitive environment, the managers or the decision-makers will frequently meet a scenario with the complicate decision-making problems, e.g. the importance tradeoffs between the multiple criteria or the multiple attributes. That is, the consensus and differences among evaluation-makers will be frequently met for most practitioners in multiple criterions decision-making (MCDM) consideration. How to incorporate those characteristics into analysis to enhance the evaluation quality of performance will be a meaningful issue to be addressed. In this study, a case about performance evaluation of the multiple projects owing to a small and medium enterprise at Taiwan will be applied to demonstrating the rationality and feasibility of proposed approach based on the fuzzy aggregation weight effect incorporating the consensus and differences among evaluation-makers.     

A group Multi-Criteria Decision-Making method for water supply choice optimization

In this study, an extension of a group Multi-Criteria Decision-Making (MCDM) method based on the fuzzy ELECTRE III (ELimination Et Choice Translating REality) model is presented for water supply choice optimization. The fuzzy ELECTRE III method is improved by using three credibility definitions - concordance, discordance, and net degrees. Experts' opinions are transformed into triangular fuzzy numbers based on the level of uncertainty associated with quantitative and qualitative criteria. The main priority of this method compared to other existing MCDM is that it is a more effective way of dealing with the uncertainties in projects as the application of the opinions is made based on a group decision. A Case Study of a water supply system for the Gamasiab Basin located in the Kermanshah province of Iran is examined to demonstrate the application of the model. Comparing the introduced method's results with the existing MCDMs, including fuzzy TOPSIS and fuzzy AHP methods, indicated that the new method stands more consistent with the local experts' opinions. Therefore, the proposed method is recommended as the optimal decision-making technique for similar applications of complex water supply engineering projects.     

Decision making framework for tender evaluation and contractor selection in public organizations with risk considerations

Selecting the best construction contractor plays a critical role in the success of any construction project. Moreover, in the public sector, the traditional lowest bid method is still broadly used and contracts are often awarded based on the lowest price. However, this method has been criticized by many researchers because even if it might guarantee the lowest cost for a project, it does not guarantee the maximum value in terms of time and quality. More particularly, the risk exposure during the tendering process is usually very high and the success of the construction project is strongly related to managing this risk in an appropriate way. Therefore, the selection of the most appropriate contractor should be based on a set of criteria such as technical capability, financial stability, risk, safety, etc., in addition to cost in order to avoid problems that may happen after the contract is awarded. This study aims therefore to develop a decision making framework (DMF) to assist the public organizations in selecting the most appropriate construction contractor(s). The proposed DMF uses a combination of multi-criteria decision making (MCDM) tools and fuzzy logic theory and consists of three stages. In the first stage, data envelopment analysis (DEA) is used to reduce the number of contractors, based on multiple criteria, such that only efficient contractors are considered. In the second stage, the risk factors that are related to each efficient contractor are identified and assessed using a fuzzy logic based approach. Finally, in the third stage, a bi-objective mixed integer linear programming (MILP) model is developed to select the best contractor(s) based on cost and risk and to determine the optimal quantity of work to be assigned to each selected contractor. Indeed, the proposed approach considers the multiple award contract case in which more than one contractor can be selected to share the amount of work to be performed. We assume that prior to using the proposed DMF, a pre-qualification study is conducted using multiple criteria chosen by the public organization, and only pre-qualified contractors are included in the first stage of the proposed DMF. Moreover, a case study inspired from the contractor selection process in a public organization in the United Arab Emirates (UAE) is used to show the effectiveness of the proposed approach.     

模糊数排序法及其在房地产项目类型优选中的应用

针对层次分析法的不足，本文提出用五个三角模糊标度数来代替语言变量，以说明待选方案对评价准则的相对影响程度，通过比较方案与准则间的相互关系而得出模糊评判矩阵，评判矩阵与权向量相乘，可计算出各个方案的模糊数，再对模糊数进行大小排序而优选方案，将此法应用于优选房地产项目类说明了它的具体应用。