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.     

包装设备的一种综合选型方法

运用层次分析法对包装设备选型问题进行分析,建立包装设备选型总模型.然后运用总模型结合具体的实例进行设备选型的计算,应用层次分析法进行包装设备的选型是一种有益的探索.     

Using AHP and the IPMA Competence Baseline in the project managers selection process

This paper proposes the joint use of the AHP (Analytic Hierarchy Process) and the ICB (IPMA Competence Baseline), as a tool for the decision-making process of selecting the most suitable managers for projects. A hierarchical structure, comprising the IPMA’s ICB 3.0 contextual, behavioural and technical competence elements, is constructed for the selection of project managers. It also describes the AHP implementation, illustrating the whole process with an example using all the 46 ICB competence elements as model criteria. This tool can be of high interest to decision-makers because it allows comparing the candidates for managing a project using a systematic and rigorous process with a rich set of proven criteria.     

基于AHM方法的高性能混凝土质量控制方案评价

作者在基于层次分析法(Analytic Hierarchy Process,简称AHP)高性能混凝土质量控制方案选择的基础上,首次利用层次分析模型(Analytic Hierarchical Model,简称AHM)方法分析了影响高性能混凝土质量的因素.结果表明,应以强度指标方案控制高性能混凝土的质量.     

基于层次分析法的儿童智能手表设计评价研究

目的解决产品设计方案后期评价问题。方法提出了一种基于层次分析法(AHP)的设计评估方法,首先将产品分解为若干待评价的指标并对其进行评价打分,整理数据并计算出各指标的权重值,最终得出各方案的综合得分进而排序。结果通过3款儿童智能手表的市场销售调查数据验证了该排序结果的准确性,为产品设计方案的有效评估提供了参考。结论将层次分析法引入设计评价中,可有效降低设计评价中待评估要素多、对评估者的经验知识依赖大、各因素与最终方案之间的影响关系难以判断等问题所带来的不利影响。     

The analytic hierarchy process applied to maintenance strategy selection

This paper describes an application of the Analytic Hierarchy Process (AHP) for selecting the best maintenance strategy for an important Italian oil refinery (an Integrated Gasification and Combined Cycle plant). Five possible alternatives are considered: preventive, predictive, condition-based, corrective and opportunistic maintenance. The best maintenance policy must be selected for each facility of the plant (about 200 in total). The machines are clustered in three homogeneous groups after a criticality analysis based on internal procedures of the oil refinery. With AHP technique, several aspects, which characterise each of the above-mentioned maintenance strategies, are arranged in a hierarchic structure and evaluated using only a series of pairwise judgements. To improve the effectiveness of the methodology AHP is coupled with a sensitivity analysis.     

An application of the analytic network process in multiple criteria material selection

Using the Analytic Network Process (ANP), this article aims at presenting a new concept for multicriteria material selection by means of allowing feedback and interactions within and between sets of design criteria and alternatives. The approach and its advantages are discussed using a multicriteria material selection case study on non-metallic gears under multifunctional design requirements (thermal performance, mechanical performance, and weight). In particular, it is shown how the selection of material alternatives under different criteria can be viewed as a network problem, as opposed to a conventional hierarchical decision-making process. The effect of different weighting factors of criteria clusters on the final solution is also discussed.     

Designing a collaborative supply-chain plan using the analytic hierarchy process and genetic algorithm with cycle-time estimation

Collaboration management has become a key issue for supply-chain management and can improve the overall production/manufacturing performance and value. This paper aims to conduct collaborative supply-chain planning and establish supplier selection, as well as production and distribution planning. This study uses an Analytic Hierarchy Process with Rough Sets Theory to establish a supplier purchasing value rating system. Also, a cycle-time estimation procedure is developed to effectively estimate the operating time of a collaborative supply chain. Assembly-line balancing technology is also introduced to guarantee smooth production and distribution in a supply chain. A multi-objective optimisation mathematical model, including purchasing value, cost, cycle time, and smoothness index, is constructed to complete the supplier selection and production-distribution planning. To efficiently solve this mathematical model, this paper proposes a genetic algorithm (E_ctGA) combined with a cycle-time estimation procedure. Finally, it presents a case study for validation. The results show that a better collaborative supply chain plan could be achieved by combining the proposed cycle-time estimation procedure.     

基于层次分析法的缓冲包装优化设计

将层次分析法(Analytic Hierarchy Process,AHP)引入到缓冲包装方案评价中来,为缓冲包装的设计与方案评价提供了一种新的分析方法.先用脆值理论确定候选方案,再用AHP法进行优选分析,解决了应用脆值理论进行设计时考虑问题的单一性,用EXCEL实现了层次分析法的求解.并通过一个设计实例验证了这种方法的有效性.     

中国造船工业供应商评价指标体系与管理体制构建

对于中国造船企业，构建完整的供应商管理体系是其从分散型采购体系向一体化采购体系整合的关键步骤之一。本文主要针对中国造船工业供应商管理的特点以及所存在的不足，将质量、交付能力、价格、服务能力和持续改进这5个定量评价指标与供货商关系指标和供货商管理能力指标这2个定性评价指标相结合，运用AHP法，构建了造船行业的供应商评价指标体系，并依据这一指标体系，构建了与造船行业集中化采购体系相适应的供应商管理体制。     

Sustainable supplier management – a review of models supporting sustainable supplier selection,monitoring and development

In the last two decades, pressure from various stakeholders has forced many companies to establish environmental and social improvements both in their company and their supply chains. The growing number of journal publications and conference proceedings confirms this change also in academia. The aim of this paper is to analyse and review scientific literature on sustainable supplier management (SSM) with a focus on formal models supporting decision-making in sustainable supplier selection, monitoring and development. For this purpose, a framework on SSM is proposed and a comprehensive content analysis including a criteria analysis is carried out. Beyond this, in total 143 peer-reviewed publications between 1997 and 2014 have been analysed to identify both established and overlooked research fields. Major findings are the rapidly growing interest of this topic in academia in recent years, the predominance of Analytic Hierarchy Process, Analytic Network Process and fuzzy-based approaches, the focus on the final evaluation and selection process step and the rare investigation of social and quantitative metrics. This review may be useful for practitioners and scientists as it outlines major characteristics in this field, which can serve as a basis for further research.     

A combined goal programming—AHP approach to maintenance selection problem

This paper presents a ‘Lexicographic’ Goal Programming (LGP) approach to define the best strategies for the maintenance of critical centrifugal pumps in an oil refinery.For each pump failure mode, the model allows to take into account the maintenance policy burden in terms of inspection or repair and in terms of the manpower involved, linking them to efficiency-risk aspects quantified as in FMECA methodology through the use of the classic parameters occurrence (O), severity (S) and detectability (D), evaluated through an adequate application of the Analytic Hierarchy Process (AHP) technique.An extended presentation of the data and results of the case analysed is proposed in order to show the characteristics and performance of this approach.     

层次分析法在拆除爆破影响因素分析中的应用

介绍了层次分析法的基本原理及其在拆除爆破效果影响因素分析中的作用,并用此原理,建立了影响拆除爆破因素的层次结构模型。通过计算各因素对拆除效果影响的程度权值,找出了影响拆除爆破的主要因素,为拆除爆破工程设计与爆破效果分析提供参考。     

Quantifying uncertainty in multicriteria concept selection methods

Decision support for concept selection in engineering design ranges from simple pairwise comparison techniques to methods that consider multiple criteria. The Analytic Hierarchy Process, or AHP, is an example of a multicriteria selection tool with wide-spread industry application. It is recognized by responsible practitioners that AHP, like other decision support methods, is best used not as an optimization tool, but as a means of clarifying individual or group attitudes; the numerical rankings that are its output are not definitive. This paper offers a means to quantify how differently two alternatives must be ranked by AHP to instill confidence that one is truly better than the other, a question that is in practice always answered using intuition. The quantification of uncertainty in AHP relies on the extension of concepts from statistical hypothesis testing. The procedure is not stochastic in the same way that physical measurement is, so probability distributions are created over relevant parameters. The quantified uncertainty depends, as in all statistical analysis, upon the assumed distributions. The uncertainty in AHP is quantified from two distinct points of view. The first makes the assumption that AHP is structurally correct but subject to measurement “error” in the pairwise comparisons, while the second quantifies the uncertainties introduced by AHP’s failure to consider different level of compensation in trade-offs among criteria.     

Classification performance comprehensive evaluation of an air classifier based on fuzzy analytic hierarchy process

The classification performance evaluation goal for an air classifier is usually limited to one of the classification performance indices including cut size, classification precision, Newton classification efficiency and degree of dispersion. This method hardly evaluates these performance indices of an air classifier comprehensively and suitably. In order to evaluate the classification performance truly and synthetically, Fuzzy Analytic Hierarchy Process is used to calculate the weights of the classification performance indices after determining the hierarchical model in the present paper. The dimensionless transformation eliminates the effect of the different dimensions. Then, the comprehensive evaluation value of the classification performance for each experiment is obtained using the linear weighted method. The maximum value corresponds to the best classification performance among these evaluation values. In the present study, a turbo air classifier is used as the classification system and talc powders are used as materials. The best classification performance indices are a cut size of 16.5 μm, a classification precision of 0.59, a Newton classification efficiency of 57%, and a degree of dispersion of 2.13. The corresponding optimal operational parameter combinations are: the feeding speed is 40 kg·h^–1, the air inlet velocity is 5 m·s^–1 and the rotor cage's rotary speed is 1200·min^–1. This assessment method avoids the limitation of evaluating a single classification performance index and the incomplete information derived from single factor experiments. Furthermore, the method also provides quantitative evaluation criteria for the classification performance of an air classifier. In the proposed method, the classification performance indices can be selected and the precedence relation matrix of Fuzzy Analytic Hierarchy Process can be set flexibly according to production requirements.     

FAHP 在包装材料库存分类管理中的应用

目的解决在包装企业的生产库存管理中,由于包装材料的价格差异不大,ABC分类库存控制法不能很好地进行分类管理,使用层次分析法分类则不够客观,而且其矩阵一致性检验过于繁琐的问题。方法采用模糊层次综合评价法(FAHP)对包装材料进行分类,并与目前使用的方法分类结果进行对比。结果模糊层次综合评价法可以更加客观系统地对包装材料库存进行分类。结论模糊层次综合评价法比ABC分类法和层次分析法更加科学有效。     

A combined supply chain optimisation model for the installation phase of offshore wind projects

This paper proposes a combined model for port selection and supply chain optimisation for the installation phase of an offshore wind farm. Two strategic models are proposed where the first model, based on Analytical Hierarchy Process (AHP), aims to select the most suitable installation port. The second model is developed using Integer Linear Programming (ILP) in order to determine the optimal transportation schedule of the components from suppliers to the chosen installation port. The proposed models are evaluated for the West Gabbard (UK) offshore wind farm located in southern part of the North Sea. According to the computational results, the AHP model chooses port of Oostende, Belgium as the most suitable installation port for this offshore wind farm whereas the proposed supply chain model shows that the total transportation cost makes up 9% of total supply chain cost.     

层次分析法在系统型管理问题中的应用

在概述当前企业管理问题的主要类型之后，着重探讨了层次分析法在系统型管理问题中的应用。从而为大量定性的管理问题，能够用层次分析法等方法以求得定量的分析与解决，促进定性分析与定量分析相结合     

Customer Prioritization for Medical Supply Chain During COVID-19 Pandemic

During COVID-19, the escalated demand for various pharmaceutical products with the existing production capacity of pharmaceutical companies has stirred the need to prioritize its customers in order to fulfill their demand. This study considers a two-echelon pharmaceutical supply chain considering various pharma-distributors as its suppliers and hospitals, pharmacies, and retail stores as its customers. Previous studies have generally considered a balanced situation in terms of supply and demand whereas this study considers a special situation of COVID-19 pandemic where demand exceeds supply Various criteria have been identified from the literature that influences the selection of customers. A questionnaire has been developed to collect primary data from pharmaceutical suppliers pertaining to customer-selection criteria. These criteria have been prioritized with respect to eigenvalues obtained from Principal Component Analysis and also validated with the experts’ domain-related knowledge using Analytical Hierarchy Process. Profit potential appeared to be the most important criteria of customer selection followed by trust and service convenience brand loyalty, commitment, brand awareness, brand image, sustainable behavior, and risk. Subsequently, Multi Criteria Decision Analysis has been performed to prioritize the customer-selection criteria and customers with respect to selection criteria. Three experts with seven and three and ten years of experience have participated in the study. Findings of the study suggest large hospitals, large pharmacies, and small retail stores are the highly preferred customers. Moreover, findings of prioritization of customer-selection criteria from both Principal Component Analysis and Analytical Hierarchy Process are consistent. Furthermore, this study considers the experience of three experts to calculate an aggregate score of priorities to reach an effective decision. Unlike traditional supply chain problems of supplier selection, this study considers a selection of customers and is useful for procurement and supply chain managers to prioritize customers while considering multiple selection criteria.     

Supplier selection by testing the process incapability index

In the competitive global business environment of the 21st century, enterprises must respond effectively to customer demands. The selection of suppliers and the evaluation of their performance are becoming major challenges that face manufacturing managers. Assessing a group of suppliers and selecting one or more of them is a complex task because various criteria must be considered in the decision making process. Quality is an essential factor in qualifying a corporation to enter the marketplace. In fact, the quality of parts obtained from suppliers determines the quality of the finished product. Hence, quality is the fundamental factor for supplier evaluation among various criteria. This study applies the process incapability index C_pp to develop an evaluation model that assesses the quality performance of suppliers. The model simplifies the evaluation of suppliers, facilitates their effective selection, and provides insights into the process situation of suppliers who may enter into a long-term partnership with a company.