商业银行供应链金融业务风险评估

将群决策理论与三角模糊数应用到商业银行供应链金融业务风险评价问题中,从分析风险评价指标体系着手,提出基于三角模糊数和群决策方法的商业银行度量供应链金融业务风险的模糊群决策评价模型,并举例验证模型的适用性。     

A hybrid multi-criteria decision making approach for strategic retail location investment: Application to Turkish food retailing

Retail location selection decision is a critical and complex process which requires the evaluation and aggregation of multiple criteria and also the usage of appropriate data related to them. This study handles the problem at a strategic level and proposes a Monte Carlo simulation based multi-criteria strategic location decision model for food retailing. This model integrates two multi-criteria decision making (MCDM) methods which are Hesitant Analytic Hierarchy Process (H-AHP) and Grey Relational Analysis (GRA) methods. Firstly, H-AHP method is used to obtain the weights of criteria to be used in GRA based on the experts' judgements. Secondly, simulation based GRA is used for ranking the alternative locations. Finally, the effectiveness and the applicability of the proposed model is illustrated with an application of strategic location investment decision of food retail stores in Turkey.     

Sustainability in The Banking Industry: A Strategic Multi‐Criterion Analysis

The current paper aims to develop an effective and integrated MCDM model for the evaluation of the sustainability practices in the banking services, employing a multi‐stage, fuzzy MCDM model that integrates the Balanced Scorecard, fuzzy AHP and fuzzy TOPSIS. The approach aims to evaluate sustainability from the following four perspectives: financial stability, customer relationship management, internal business process and environment‐friendly management system. A real implementation dealing with the six largest commercial banks in India is discussed. The results highlights the critical aspects of the evaluation criteria and the issues in improving sustainable banking performances. Regarding the sustainability issues, it is shown that the environment‐friendly management system takes a back seat compared with the other criteria. Furthermore, the results show that there is a misunderstanding of the role that corporate social responsibility plays with respect to environmental issues. The developed evaluation model offers a valuable management tool for banks' administrators by assisting them in strategic choices in order to achieve their objective of sustainability and sustainable banking. Moreover, it offers a measuring tool with unique features that complements the emerging trend of integrated reporting considering uncertainty. Copyright © 2017 John Wiley & Sons, Ltd and ERP Environment     

基于BP神经网络的项目社会后评价方法研究

为了提高大型项目综合评价的科学性、客观性以及时效性,本文提出了基于BP神经网络的项目社会后综合评价模型,用以对大型社会项目的综合评价;并以广东省某大型水利项目为例,实证分析该方法对项目社会后评价具有较好的一致性,证明了以BP神经网络模型为基础建立的项目社会后评价模型,对社会大型项目进行社会后综合评价方法具有一定的可行性。     

单井开发成本的模糊数综合评定方法

为了解决单井开发成本综合评议过程中多专家评议意见融合的问题,提出了一种基于模糊数的多专家评议意见融合方法,首先介绍了专家评议信息的模糊数表示方法以及专家评议信息之间的差异性测度的表示方法,最后给出了多专家意见的信息融合方法,最后利用数值算例论述了本方法的可行性。     

Strategies to develop a sustainable and resilient vaccine supply chain in the context of a developing economy

Developing a vaccine supply chain (VSC) is an intricate process due to product perishability issues and cross-border supply complexities. On top of that, developing a pandemic-driven VSC is more challenging due to having significant operational, infrastructural, and policy-related disruptions. From the perspective of a developing economy such as Bangladesh, handling the global COVID-19 pandemic through the proper establishment of a VSC has been disrupted by a multitude of organizational, economic, and policy barriers. This has hindered the process of establishing a resilient VSC let alone ensuring the sustainability of the supply chain (SC). Therefore, this study strives to identify the key VSC strategies and their interrelationships under four groups: Intra-organizational, Inter-organizational, Legislative, and Environmental, based on previous literature and the expert opinions of industrial practitioners and policymakers. 20 strategies are ranked, and their causal relationships are discussed using the fuzzy DEMATEL method. This study utilizes the fuzzy set theory to deal with the vagueness of human beings' perceptions, and the DEMATEL method to form a structural model to find out the cause (influencing and independent) and effect (influenced and dependent) relationships among different strategies. The outcome of this study shows that ‘developing local production facilities for vaccines’, ‘creating extensive governmental policy to ensure efficient distribution of vaccines’, ‘ensuring sustainable investment in vaccine manufacturing and distribution’, ‘integrating advanced data analytics for robust and resilient demand prediction’ and ‘promoting public-private-people partnership for sustainable investment’ are the most prominent strategies. The findings provide stakeholders and policymakers with a practical framework for developing a sustainable VSC prepared for any virus outbreak, such as COVID-19, while also achieving the Sustainable Development Goals (SDGs).     

基于结构熵权法的供应链柔性模糊综合评价研究

供应链柔性是供应链绩效的关键维度,反映了供应链上下游企业对于市场环境及顾客需求变化的反应能力。在管理实践中,对企业自身供应链柔性的测度及认识具有重要的现实意义。文章致力于开发一种科学的供应链柔性测度方法,其开发过程包括三个阶段:首先,深入分析供应链柔性的定义及各维度之间的关系,在此基础上建立科学合理的供应链柔性评价模型;其次,引入主客观赋权法相结合的结构熵权法,用以确定评价模型中各维度的权重向量;最后,基于模糊数学原理,采用模糊综合评价方法对供应链柔性进行有效的评价。同时,还结合模拟案例详细阐述了模糊综合评价的原理及应用过程。     

杨凌示范区水资源工程环境影响评价

水资源工程的环境影响评价以成为工程规划中一项重要工作,杨凌示范区是国家唯一的农业高新技术产业示范区,生态环境保护是建设美丽杨凌的基础,首先通过对该区已有水资源工程和解决该区缺水的规划水资源工程现状调查,并对其进行环境影响分析;其次以该区经济建设和环境建设的需要对农业节水改造工程和渭河生态景观工程进行环境影响评价;最后针对供水工程对环境的影响特征,提出相应的水环境保护对策和减缓措施及监督管理建议。     

Assessment of alternative railway systems for sustainable transportation using an integrated IRN SWARA and IRN CoCoSo model

The long-term sustainability of the railway transportation system is determined by a set of criteria that must be considered. For this reason, multi-criteria decision-making (MCDM) techniques have been used because of their high possibility of providing complementary instruments with successful flexibility. Keeping this in mind, we developed a multi-criteria method to conduct an assessment of currently operational railway systems in West Africa for sustainable transportation based on the examination of key challenges affecting the railway system. This study presents the interval rough step-wise weight assessment ratio analysis-combined compromise solution (IR-SWARA-CoCoSo) model. We have adapted the model to group decision-making by incorporating a new technique for dealing with ambiguity and the utilization of interval rough numbers (IRNs). To evaluate the importance coefficients of criteria in the group decision-making procedure, a new interval rough SWARA method has been introduced as an improvement to handle the issues related to MCDM. For the evaluation of the railway transportation system for sustainable transportation, a novel interval rough CoCoSo method was used. According to the findings, information systems is the most critical challenge to the railway transportation system, while the railway system in Nigeria is the best among others. The results were validated in two stages of sensitivity analysis: a comparison with different interval rough approaches, and the calculation of Spearman's correlation coefficient and WS coefficient for all ranks in the comparative analysis.     

Using methods of Multi-Criteria Decision Making to provide decision support concerning local bioenergy projects

The public sector plays an important role in the German “Energiewende”. Besides energy management in municipal properties the local government can also support the switch to renewable energy sources through a change in energy supply structures within in their region. Methods of Multi-Criteria Decision Making (MCDM) from Operations Research are helpful regarding that challenge, as they are able to assess the sustainability of local energy concepts, since they not only offer stakeholders the opportunity to participate, but also consider multiple conflicting criteria. In that way, the acceptance of local energy projects and the participation of stakeholders in the decision process are supported. The case study presented in this paper illustrates the results of a MCDM process employed to identify a sustainable bioenergy concept in a rural village in Lower Saxony, Germany. Our analysis revealed not only the opportunities and challenges associated with executing an MCDM process to support the realization of local bioenergy projects, but also discusses potential limitations of the methods.     

A novel hybrid multi-criteria method for supplier selection among SMEs on the basis of innovation ability

Today, small and large business houses operate collaboratively for the efficiency in the functioning of supply chains. Larger organisations mostly depend on small companies to supply majority of its components and thus they need to be careful while selecting their suppliers. Small organisations performing innovatively and supplying technologically upgraded as well as quality products at a cheaper rate can be a boon for the larger enterprise. This study develops a model for evaluating and selecting small firms as suppliers on the basis of their innovativeness. Best–Worst multi-criteria method is used to rank criteria of innovativeness and also to calculate their weights on the basis of expert opinion. Fuzzy TOPSIS methodology is used to rank the suppliers with respect to these criteria and finally select the best supplier among the available alternatives. A real-world application is illustrated by taking a case of auto component manufacturer and its seven suppliers, 5 main criteria and 23 sub-criteria are taken up for the study.

Abbreviations: AHP: analytical hierarchal process; ANP: analytical network process; DEMATEL: decision-making trail and evaluation laboratory; EMS: environment management system; ELECTRE: ELimination Et Choix Traduisant la REalité (elimination and choice expressing reality); FPIS: fuzzy positive ideal solution; FNIS: fuzzy negative ideal solution; ISM: interpretative structural modelling; PROMTHEE: preference ranking organisation method for enrichment evaluation; SME: small and medium enterprises; TOPSIS: technique for order preference by similarity to ideal solution; QFD: quality function deployment; VIKOR: VlseKriterijuska Optimizacija I Komoromisno Resenje; SP1; SP2; SP3; SP4; SP5; SP6; SP7: Various suppliers used as alternatives     

基于模糊多准则决策方法的物流中心选址研究

提出了一种物流中心选址的模糊多准则决策算法,以降低决策者主观偏好及评估过程中模糊和不确定因素对选址决策的影响。算法可同时考虑质化与量化因素及因素间不同权重的影响。模糊估计值的隶属函数可迭代求出,再应用平均位移原理进行积分推导来求解模糊值以进行各候选位置的比序。最后,以应用实例对模型的有效性和可行性进行了验证。     

恒压供水控制系统自适应模糊PID控制器设计及仿真

恒压供水系统中控制系统复杂多变,控制参数测定不精确;文章提出了把PID控制与自适应模糊控制结合在一起的一种自适应模糊PID控制器应用恒压供水系统中,借助于PID参数的在线模糊自整定,实时修改PID参数,通过Matlab仿真实验发现系统在运行过程中始终处于优化状态。自适应模糊PID控制器在恒压供水系统中的应用既可以提高系统控制性能,又能最大限度地节约供水系统能源。     

Global supplier selection using fuzzy analytic hierarchy process and fuzzy goal programming

Global supplier selection is a multi-goal multi-criteria problem which needs to consider both qualitative and quantitative factors. Which suppliers are the best and how much should be purchased from the selected suppliers is an important purchasing issue for manufacturers. Traditionally, decision makers can determine the best supplier from evaluating few suppliers with qualitative supplier selection criteria by using fuzzy analytic hierarchy process (FAHP), but evaluate dozens of global suppliers simultaneously or determine the order quantity from them will be complex and difficult. Meanwhile, decision makers can determine the order quantity form the suitable suppliers by using fuzzy goal programming (FGP); however, it is not easy to decide weights for each goal of global supplier selection with different supply chain strategies. This study integrated the FAHP and FGP (FAHP-FGP) method to be a new approach for global supplier selection in considering the manufacturer’s supply chain strategies. With FAHP-FGP method, the manufacturer can consistently integrate multi-manager’ opinions in determining weights of each goal and obtain the order quantities for suitable suppliers based on manufacturer’s strategies. To demonstrate the usefulness of the proposed method, a real-world case of a digital consumer products manufacturer is presented.     

浅谈广西企业如何提高科技项目申报书质量

科技项目申请书的质量，直接关系到项目申请的成败。文章分析了企业在广西科学研究与计划开发课题申报中存在的问题，介绍了笔者从事科技项目管理的经验和看法，期望为企业在申报课题中提高中标率提供参考价值。     

模糊综合评判在房地产估价中的应用

根据模糊数学的理论和计算方法,提出了一个有关房地产估价的模糊评判多层次模型。其中,指标权重的确定,通过层次分析法进行进一步探索,并指出权重矩阵的协调配合是直接影响对模糊综合评判结果做出科学、合理解释的关键。使评价更为客观有效,并加以实例论证,结果表明该模型合理可行,且在房地产估价方面具有明显的优越性。     

公路工程评标模糊综合评价及其计算机化

针对公路工程评标中如何选择投标单位问题,文章论述了通过确定科学的评标指标体系,运用层次分析法和模糊综合评价方法,建立评标模型,并用计算机进行系统设计,借助于已开发的计算机软件运行,较目前使用的评标方法更加科学、公正、快捷。     

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.     

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.     

水文地质概念模型预测某铝土矿涌水量

正确认识区域及矿区水文地质条件,通过矿区抽水试验获取具有代表性的水文地质参数,研究矿区地下水流场,简化地下水供水边界,确立概化合理的矿区水文地质模型,可以提高对矿坑涌水量预测的准确度。本文结合具体工程实例,阐述建立水文地质模型在实际中的应用,得到了较为理想的效果。