基于模糊组合权的模糊TOPSIS方法在供应商选择中的应用研究

供应商的选择在供应链管理中是很重要环节,供应商选择的成功与否将直接影响到整个供应链的竞争优势,故有必要对供应商选择进行深入研究。本文将已有的模糊组合权方法和模糊TOPSIS方法相结合,提出一种基于模糊组合权的模糊TOPSIS方法,并将其应用于供应商的选择研究中。文章首先总结已有的相关研究结果,给出供应商评价的准则,接着介绍三角模糊数的相关理论,推出模糊组合权及模糊TOPSIS的算法步骤,最后通过一个算例验证方法的可行性。     

Integrating design metrics within the early supplier selection process

It has been found from the contemporary research in the fields of supply chain management and concurrent engineering that significant benefits can be achieved if suppliers are involved in product development. However, recent investigations in manufacturing industries have revealed that early supplier involvement in the design process is not widely practiced. One issue is the lack of an appropriate customer–supplier interface to assess the suitability of suppliers with reference to design criteria. This paper proposes a mechanism for evaluating supplier involvement during product development. The assessment tool includes four types of distinctive indices to measure supplier involvement in the design process, namely: Satisfaction Index, Flexibility Index, Risk Index, and Confidence Index. These indices measure the extent to which both the customer requirements and the supplier capabilities match or mismatch and therefore reflect the potential or risk of signing a project contract. The proposed methodology is discussed within a multinational telecommunications company and preliminary analysis indicates that the approach provides an effective mechanism for selecting suppliers involved in the product development process.     

Practice and promise of formal supplier selection: a study of four empirical cases

In this paper an experimental study of formal decision-making models for supplier selection is described. Attention is paid to all phases of the supplier selection process: the recognition of the need for a new supplier, the formulation of decision criteria, the qualification of suitable candidates and final selection. It appears from the experiments that formal decision models may prove to be useful in various ways throughout the whole supplier selection process and in different purchasing situations.     

Exploring the circular economy paradigm: A natural resource-based view on supplier selection criteria

The paradigm of circular economy and the transfer of its principles to supply chain management has recently received much attention from researchers and practitioners. Limited natural resources, governmental legislation, and social responsibility for environmental preservation are the main factors for the development of circular supply chains. Especially in the automotive industry, critical materials are used to produce electric vehicles, reinforcing the importance of circularity for the industry. As the first stage of the supply chain, suppliers have a considerable influence on creating self-sufficient production systems, and in the automotive sector, a low level of vertical integration is important. Therefore, selecting suppliers is an enabler for circular supply chains, but this decision is a complex process due to multiple, partly conflicting criteria. To contribute to the knowledge in this research area, this study applies a fuzzy decision-making trial and evaluation laboratory approach for supplier selection in a circular supply chain in a case study of electric vehicles. First, a set of criteria for supplier selection in circular supply chains was identified based on a literature review and was systematically categorized based on the natural resource-based view. Afterward, the criteria were assessed and refined by experts with a strong procurement background in the automotive industry. Second, the experts were interviewed for value collection, and finally, the mutual influence of the criteria was determined. The results show that the most important criteria for circular supplier selection in electric vehicle supply chains are environmental standards, environmental-related certifications, resource consumption, and waste generation. Regarding the natural resource-based view, short-term focused criteria addressing the capability of pollution prevention have a higher importance compared to long-term criteria that drive sustainable development. In addition, this study classifies the criteria into the categories of causes and effects, discusses the prominence of the criteria, and presents a strategic map showing the mutual influences of the criteria. The results contribute to the theoretical and practical discussion on circular supply chains by identifying the key criteria for circular supplier selection and providing decision-making support for procurement managers.     

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     

The influence of reputation on supplier selection: An empirical study of the European automotive industry

Using an original database, integrated with information by the web, we propose an ex-post analysis on the main factors influencing the selection process of tier 1 suppliers in the automotive industry. There is plenty of literature on how buyers should select their suppliers, but the literature on how they really do so is scarce. We contribute analysing an original database collecting purchasing contracts information within the automotive components market in Europe. We investigate, through different econometric approaches the influence of traditional supplier selection criteria in combination with different reputation factors. Our findings suggest that reputation plays a crucial role more than classical criteria; in particular, suppliers, which serve a diversified customer portfolio or with strong exposure to premium brand customers have better chances to gain additional orders and broaden their customer base even more. The latter means that OEMs have to increase their reputation in order to be more attractive for suppliers.     

A novel option contract integrated with supplier selection and inventory prepositioning for humanitarian relief supply chains

This paper proposes a novel two-period option contract integrated with supplier selection and inventory prepositioning. A two-stage scenario-based mixed possibilistic-stochastic programming model is developed to cope with various uncertainties. The first stage's decisions include supplier selection and capacity reservation level at each supplier/period and the level of inventory prepositioning. Furthermore, decisions regarding the time and exercised amount are made in the second stage. Applicability of the model is validated through a real case study. Finally, several sensitivity analyses are conducted to examine the effect of important parameters on the solutions to gain useful managerial insights.     

Supplier evaluation and demand allocation among suppliers in a supply chain

This paper presents a hybrid algorithm that prioritizes the suppliers and then allocates the demand among the suppliers. The objective here is to maximize the total purchase value of the items taking into consideration budget constraint, demand condition, delivery lead-time and supplier capacity. Since the problem is multi-criteria decision making, we solve this problem by integrating the supplier rating with mixed linear integer programming method. The customer demand is allocated by using a hybrid algorithm based on the technique for order preference by similarity to ideal solution (TOPSIS) and the mixed linear integer programming (MILP) approaches. The effectiveness of the proposed algorithm is validated with computational results. Drawing to a case, a supplier S₃ is identified as the best supplier by using the TOPSIS method for demand allocation under no restrictions. On the contrary, under constrained scenario, supplier S₂ is selected as the best supplier by using the hybrid algorithm for demand allocation and maximum units are allocated to S₂.     

Uncovering the supplier selection knowledge structure: A systematic citation network analysis from 1991 to 2017

Because of the critical role supplier selection plays in organizational success, both practitioners and academics have expressed a strong interest in the subject area generating an extensive body of research. The volume and breadth of publications in this area makes it difficult to understand the knowledge structure of the field and the academic work that has influenced the evolution of the domain.This mixed-method study systematically reviews 246 papers that investigated supplier selection issues and were published between 1991 and 2017. We initially examined the statistics of papers by unveiling influential journals, affiliations and articles. Second, we utilized co-citation network analysis, an objective procedure to extract clusters of what has been researched in supplier selection literature. The study analytically retrieves six major knowledge clusters: 1) conceptual foundation of the field; 2) modeling of the procurement environment; 3) handling group-decision making and unprecise input data; 4) computational research; 5) green/sustainable research and 6) risk-based supplier selection. Finally, we conducted main path analysis to get an overview of the evolution of knowledge in the supplier selection field by uncovering its major paths and key articles.     

An exploration of supplier selection practices across the supply chain

The US auto industry has undergone tremendous changes during the past decade. Companies have increased their level of out-sourcing and are relying more heavily on their supply chain as a source of their competitive advantage. Thus, determining which suppliers to include in the supplier chain has become a key strategic consideration. However, previous studies of supplier selection have not considered a company's position in the supply chain. In this paper, we compare supplier-selection practices based on a survey of companies at different levels in the auto industry. Our findings rebut the common thinking that indirect suppliers who are more involved in commodity purchasing emphasize initial price and de-emphasize relational considerations. We learned that selecting suppliers based on the potential for a cooperative, long-term relationship is just as important to direct and indirect suppliers as it is to the auto assemblers. We also learned that price is one of the least important selection items, regardless of position on the supply chain. Further, contrary to the existing understanding that quality and delivery are separate constructs, they formed a single construct in our study. To summarize the empirical results, no differences among the auto assemblers, direct suppliers, and indirect suppliers were found for the importance placed on consistency (quality and delivery), reliability, relationship, flexibility, price, and service. Statistically significant differences were found between the auto assemblers and indirect suppliers on the importance placed on technological capability and financial issues.     

Making tough choices: A policy capturing approach to evaluating the tradeoffs in sustainable supplier development initiatives

This research explores the tradeoffs that decision makers are willing to make when implementing development initiatives to improve supplier sustainability performance. We employ a policy capturing methodology in which respondents are forced to choose between multiple potential sustainable supplier development initiatives. Data were collected from traditional and executive MBA students. The results suggest that when confronted with tradeoffs, decision makers value improvements in supplier cost savings and injury reduction equally, which was somewhat unexpected. Further, both improvements in supplier cost savings and injury reduction were valued over supplier emissions performance. Because we measure individual tradeoff preferences, multi-level regression analysis was used to better understand the impact of respondent value structure regarding sustainably developing suppliers. Our findings suggest a hierarchy of tradeoff preferences for decision makers as they pertain to sustainable supplier development. As the pressure to ensure supply chain sustainability increases, more firms will engage in sustainable supplier development. The outcomes of the choices they make when choosing between initiatives, and how managers make these choices, will be of increasing interest in both industry and academia. This research answers previous calls for further examination of decision maker tradeoff preferences in sustainable supply chain development.     

A supplier evaluation model based on customer demand in blockchain tracing anti-counterfeiting platform project management

This study assesses supplier selection at the beginning of project management to establish an evaluation system corresponding to blockchain tracing anti-counterfeiting platforms (BTAP). First, this paper determines 20 evaluation criteria from the four dimensions of platform overview, core technology, application support, and operations management. On this basis, multi-criteria decision making (MCDM) based on customer needs is proposed, which consists of three main steps. First, quality function deployment (QFD) and the best and worst method (BWM) are used to evaluate the four dimensions of the BTAP and specific evaluation criteria from the perspective of customers to obtain the criteria weight. Then, this method uses the extended Vlse Kriterjumska Optimizacija I Kompromisno Resenje (VIKOR) approach to sort the alternatives. Finally, the improved decision making trial and evaluation laboratory (DEMATEL) method is used to analyse the relationships between the 20 criteria in the four dimensions. The feasibility and effectiveness of this method are verified by an example. According to the sensitivity analysis and comparative analysis, the results show that this method can evaluate blockchain anti-counterfeiting enterprises. The main conclusions are as follows: the core technology is the most important factor influencing the choice of a BTAP project, and the role of application support in evaluation cannot be ignored.     

A theory of supplier network-based innovation value

To understand how a supplier helps a buying company create value through innovations, studies have focused on a supplier's internal resources or its relationship with a buying company. Building upon this body of literature, we develop a theory of supplier network-based innovation value in this conceptual paper. This theory explains how a supplier's upstream and downstream value network can be a source of competitive advantage for a buying company. Specifically, it proposes that the levels and types of supplier innovation value is contingent on the configuration of a dual-ego value network, characterized by the locus and degree of buyer-supplier structural equivalence. This theory also explains how a supplier's ties with a buying firm's competitors can pose both opportunity and risk to buying company innovation. This theory contributes to the literature by showing when “seemingly undesirable” suppliers, due to a lack of technical capability or strong relationship with a buying company, might still be valuable to a buying company's innovation.     

The undervaluation of corporate reputation as a supplier selection factor: An analysis of ingredient branding of complex products in the manufacturing industry

Prior research studies on supplier selection factors assess vendor reputation as a low ranked criterion. Reputation in these articles, however, only refers to the position in the industry, without considering the role of the final customer. Our results from a survey with 565 individuals suggest that the end user as a stakeholder should be also considered when analyzing a vendor’s prestige. We demonstrate that a supplier’s standing has negative as well as positive reputational effects on the buyer. Depending on the relevance of the purchased good as well as the reputation of the supplier and the buyer, low/high-ranked ingredients significantly decrease/increase the final customer’s perception of the buyer.     

大型综合性会展物流供应商选择研究

分析了会展物流的特点,发现这些特点决定了选择合适的物流供应商是会展物流高效运行的关键因素之一。构建了会展物流供应商的一级、二级评价指标体系。应用QFD基本原理,对质量屋（HoQ）进行适当的变形,将其应用于会展物流供应商的选择,规划选择过程。最后以某大型会展物流供应商的选择为例证明该理论的有效性。同时该方法的动态适应性也为物流供应商的管理和进一步改进指明方向。     

Application of an integrated decision support process for supplier selection

In many firms the value of purchased materials and components accounts for 50–80% of total cost of goods sold. For those firms, purchasing decisions cause enterprise wide side effects, and, therefore, should be treated as an integration matter. Supplier selection is a problem that deals with both qualitative and quantitative issues that must be measured using information that is normally spread within the enterprise. To see how this problem was addressed in a small construction company in Brazil, an integrated procurement process, which is a simplification of a more complex methodology, is presented. The case study shows the importance of simpler, yet efficient, solutions to address the decision making problems of smaller enterprises in development countries—a research and commercial niche not well developed yet.     

A multi-objective model for lot-sizing with supplier selection for an assembly system

Lot-sizing with supplier selection (LS-SS) is a fast-growing offspring of two major problem parents in logistics and supply chain management (‘lot-sizing’ and ‘supplier selection’). The model proposed in this paper is an attempt to extend it to an assembly system, by formulating a multi-objective model for an integrative problem of LS-SS for assembly items. The total costs of the system, consisting of purchasing, ordering, transportation, assembly, and holding, is considered the first objective function, while the total reliability of the finished products is considered the second objective function. The decision-maker aims to minimise the total costs while maximising the total reliability. Several constraints of the system (e.g. storage capacity, supplier production capacity) are taken into account. Given the complexity of the model, a heuristic evolutionary algorithm is proposed to solve the model. The results indicate which assembly items to order in which quantities, from which suppliers and in which time periods.     

Impact of relational norms, supplier development and trust on supplier performance

Supplier relationship management and supplier development initiatives assume a fundamental role in enterprise supply chain management. An important aspect of effective supplier relationship management is the role of trust. This paper seeks to understand whether supplier relationship management or supplier development initiative should be emphasized as a firm strives to achieve superior supplier performance. The analysis and discussion draws upon sourcing strategy literature and is based on empirical survey-data of mid to upper level managers with responsibility for supply management initiatives in their respective organizations in Denmark and in the USA. It examines the interrelationships among “relational norms”, “trust”, “supplier development initiatives” and ensuing “supplier performance”. The data analysis shows that firms must emphasize relation and trust building activities before investing in supplier development initiative. Supplier perception audits must be routinely performed to gauge the level of trust and strength of relational norms.     

Antecedents to supplier integration in the automotive industry: A multiple-case study of foreign subsidiaries in China

Supplier integration has become an important concept for improving supply chain performance. The aim of this paper is to identify factors that facilitate and inhibit supplier integration in the context of the Chinese automotive industry. An inductive approach based on grounded theory was chosen as the research methodology, where data was collected through 30 detailed case interviews with subsidiaries of foreign automotive companies operating in China. The results indicate that buyer-side leadership is an important antecedent for building motivation, trust, and commitment among suppliers and for shaping their mindsets. This, in turn, facilitates strategic alignment and enables suppliers to build collaborative capabilities, which are finally shown to be a key enabler for successful supplier integration.