Supplier Assessment Criteria Research Articles

Determination of optimum animal feed raw material order allocation

The availability of raw materials is the key to the implementation of production activities so that suppliers, who are able to supply according to the needs of the company, are needed. If the material that comes is not according to the specifications requested, even though the supplier changes so that the amount of material is still fulfilled, it still causes disruption to the smooth production process. The aim of this study is to assess the supplier’s performance to optimize allocated raw material. This research was conducted at an animal feed factory. The raw materials used include yellow corn and rice bran, obtained from several suppliers. The raw material that comes in part is rejected because it is not in accordance with the requested specifications, among others due to excessive water content, mushroom content and the content of corn cobs that exceed the established limit. In this study, carried out a performance analysis of suppliers referring to 23 supplier assessment criteria by Dickson and used 6 selected criteria, namely quality, delivery, history of supplier performance, claim and guarantee policies, prices and communication systems. The optimal amount of raw material orders from the results of goal programming is allocated to each supplier based on their performance.

A methodology to select suppliers to increase sustainability within supply chains

Sustainability practice within supply chains remains in an early development phase. Enterprises still need tools that support the integration of sustainability strategy into their activity, and to align their sustainability strategy with the supplier selection process. This paper proposes a methodology using a multi-criteria technique to support supplier selection decisions by taking two groups of inputs that integrate sustainability performance: supply chain performance and supplier assessment criteria. With the proposed methodology, organisations will have a tool to select suppliers based on their development towards sustainability and on their alignment with the supply chain strategy towards sustainability. The methodology is applied to an agri-food supply chain to assess sustainability in the supplier selection process.

Dynamic sustainability requirements of stakeholders and the supply portfolio

Extant literature on sustainability in procurement and supplier selection suffers from a number of deficiencies. First, studies pertaining to the dynamic nature of stakeholders’ expectations of sustainability and its impact on determining a supply portfolio have not been studied before. Second, there is a genuine lack of study linking the stakeholders’ sustainability requirements, firm procurement strategies, and eventual supplier selection. Third, most of the existing studies address sustainability issues in procurement and supplier selection but fall short of determining an optimal portfolio of suppliers and corresponding optimal order quantities. This study addresses the above research gaps by developing a sustainability-focused multi-criteria decision model for supplier evaluation and determining optimal order allocation among the suppliers linking the stakeholders’ sustainability requirements and firm procurement strategies. Based on dynamic capability theory, we develop a decision support framework integrating multi-phased quality function deployment and dynamic optimization. We apply the decision support framework to a European apparel company which sources apparel from Bangladesh: a country that is a low cost sourcing destination. First, this study identifies the stakeholders’ sustainability requirements. It then explicates the company’s procurement strategies in terms of stakeholders’ requirements followed by translating the procurement strategies to relevant supplier assessment criteria. Finally, a linear optimization model is developed to maximize the suppliers’ sustainability performance in order to determine the optimal supply portfolio. The results identify two distinct groups of suppliers satisfying the overall sustainability performance. However the optimal order quantities among the suppliers vary randomly depending on the variations in demand and priority weights of the suppliers. The paper concludes with a detailed discussion of the results and implications.

Model Penilaian Pemasok Bahan Olah Karet (Bokar)

Crumb rubber industry only depends on one main raw material that is called Bahan Olah Karet (Bokar). Based on the observation of several crumb rubber factories in West Sumatera, the company still uses an unsystematic way of choosing the suppliers of bokar. The weakening of the supplier’s supervision system causes bokar that received by the company, in terms of quality and quantity are not met properly. The way to solve these issues is to develop a fuzzy model for supplier assessment of bokar. The first step is the identification of criteria using FDM. Then developing a mathematical model. This research has been successfully developed a mathematical model where FAHP is used to determine the weight of supplier assessment criteria, combined with signed distance at the defuzzification stage. While FTOPSIS is used to obtain suppliers ranking. Through the survey using FDM, we obtain 6 main criteria and 18 subcriteria which relevant to the conditions of the crumb rubber industry in West Sumatera.

Implementasi Sistem Pendukung Pengambilan Keputusan pada Pembelian Bahan Olahan Karet dari Pemasok

The need for high-quality crumb rubber in West Sumatra tends to increase. However, the amount and quality of rubber from suppliers belong to weak caused by the bad monitoring systems, the supply cannot be met properly, and there is a lot of shrinkage in rubbers purchased by the company. Therefore this research was carried by implementing the Decision Support System (DSS) which was expected to help facilitate supplier data searches and evaluate the supplier's performance. The first stage in this research was designing DSS included the use of Unified Modeling Language (UML) diagram and database design. Next, built an applicable software using Personal Home Page (PHP), My Structured Query Language (MySQL), and Apache. An advantage of DSS designed was to accommodate differences and changes in rubber supplier assessment criteria according to the consideration of each crumb rubber industry in West Sumatra. There were 3 of 11 main crumb rubber criteria assessed. The results of these 3 criteria were obtained highest weight, namely Dryness (0.18), cleanliness (0.15), and consistency of quality (0.10). While the previous performance obtained the lowest weight (0.05). This meant that the criteria of dryness, cleanliness, and consistency of quality, will be the main considerations for companies in ranking and evaluating suppliers who work with companies.

Novel green supplier selection method by combining quality function deployment with partitioned Bonferroni mean operator in interval type-2 fuzzy environment

Green supplier selection (GSS) plays a significant role in promoting enterprise development. Quality function deployment (QFD) ensures that green supplier assessment criteria are in accordance with the characteristics that purchased products ought to possess. The partitioned Bonferroni mean (PBM) operator assumes that all criteria are partitioned into several clusters, where criteria in the same clusters are interrelated, while criteria in different clusters are irrelevant, and it can be used to deal with GSS problems in which all criteria are partitioned into several clusters. Furthermore, interval type-2 fuzzy sets (IT2FSs) can efficiently express vagueness and imprecision, and possess powerful processing abilities. In this paper, we propose a novel GSS method by combining QFD with the PBM operator in the context of IT2FSs. Firstly, we present the interval type-2 fuzzy PBM (IT2FPBM) operator and interval type-2 fuzzy weighted PBM (IT2FWPBM) operator, and discuss several of their properties. Thereafter, we transform the preference values of the importance degrees of customer needs (CNs) into those of technical criteria (TC) through the relationships between CNs and TC, based on QFD. Moreover, the criteria are partitioned on the basis of the literature review on GSS criteria. Finally, a bike-share case is used to illustrate the applicability of the presented method, and various comparisons are used to display the superiority of the presented method.

New Integrated Quality Function Deployment Approach Based on Interval Neutrosophic Set for Green Supplier Evaluation and Selection

Green supplier evaluation and selection plays a crucial role in the green supply chain management of any organization to reduce the purchasing cost of materials and increase the flexibility and quality of products. An interval neutrosophic set (INS)—which is a generalization of fuzzy sets, intuitionistic fuzzy sets (IFS) and neutrosophic sets (NS)—can better handle the incomplete, indeterminate and inconsistent information than the other sets. This paper proposes a new integrated Quality Function Deployment (QFD) in support of the green supplier evaluation and selection process. In the proposed approach, INS is used to assess the relative importance of the characteristics that the purchased product should have (internal variables “WHATs”) in order to satisfy the company’s needs, the relevant supplier assessment criteria (external variables “HOWs”), the “HOWs”-“WHATs” correlation scores, the resulting weights of the “HOWs” and the impact of each potential supplier. The normalized weighted rating is then defined and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method is developed to obtain a final ranking of green suppliers. A case study is applied to demonstrate the efficiency and computational procedure of the proposed method.

An integrated fuzzy MCDM approach for supplier evaluation and selection

A fuzzy multi-criteria group decision making approach that makes use of quality function deployment (QFD), fusion of fuzzy information and 2-tuple linguistic representation model is developed for supplier selection. The proposed methodology seeks to establish the relevant supplier assessment criteria while also considering the impacts of inner dependence among them. Two interrelated house of quality matrices are constructed, and fusion of fuzzy information and 2-tuple linguistic representation model are employed to compute the weights of supplier selection criteria and subsequently the ratings of suppliers. The proposed method is apt to manage non-homogeneous information in a decision setting with multiple information sources. The decision framework presented in this paper employs ordered weighted averaging (OWA) operator, and the aggregation process is based on combining information by means of fuzzy sets on a basic linguistic term set. The proposed framework is illustrated through a case study conducted in a private hospital in Istanbul.

An integrated supplier selection methodology incorporating QFD and DEA with imprecise data

Supplier evaluation and selection is an important group decision making problem that involves not only quantitative criteria but also qualitative factors incorporating vagueness and imprecision. This paper proposes a novel fuzzy multi-criteria group decision making framework for supplier selection integrating quality function deployment (QFD) and data envelopment analysis (DEA). The proposed methodology allows for considering the impacts of inner dependence among supplier assessment criteria through constructing a house of quality (HOQ). The lower and upper bounds of the weights of supplier assessment criteria are identified by adopting fuzzy weighted average (FWA) method that enables the fusion of imprecise and subjective information expressed as linguistic variables. An imprecise DEA methodology is implemented for supplier selection, which employs the weights of supplier assessment criteria computed by FWA utilizing the data from the HOQ and the supplier ratings with respect to supplier assessment criteria. The application of the proposed framework is demonstrated through a case study in a private hospital in Istanbul.

A QFD-based fuzzy MCDM approach for supplier selection

Supplier selection is a highly important multi-criteria group decision making problem, which requires a trade-off between multiple criteria exhibiting vagueness and imprecision with the involvement of a group of experts. In this paper, a fuzzy multi-criteria group decision making approach that makes use of the quality function deployment (QFD) concept is developed for supplier selection process. The proposed methodology initially identifies the features that the purchased product should possess in order to satisfy the company’s needs, and then it seeks to establish the relevant supplier assessment criteria. Moreover, the proposed algorithm enables to consider the impacts of inner dependence among supplier assessment criteria. The upper and the lower bounds of the weights of supplier assessment criteria and ratings of suppliers are computed by using the fuzzy weighted average (FWA) method. The FWA method allows for the fusion of imprecise and subjective information expressed as linguistic variables or fuzzy numbers. The method produces less imprecise and more realistic overall desirability levels, and thus it rectifies the problem of loss of information. A fuzzy number ranking method that is based on area measurement is used to obtain the final ranking of suppliers. The computational procedure of the proposed framework is illustrated through a supplier selection problem reported in an earlier study.

A four-phase AHP–QFD approach for supplier assessment: a sustainability perspective

Recently, companies have become increasingly aware of the need to evaluate suppliers from a sustainability perspective. Introducing the triple bottom line (economic, social, and environmental performance) into supplier assessment and selection decisions embeds a new set of trade-offs, complicating the decision-making process. Although many tools have been developed to help purchasing managers make more effective decisions, decision support tools, and methodologies which integrate sustainability (triple bottom line) into supplier assessment and selection are still sparse in the literature. Moreover, most approaches have not taken into consideration the impact of business objectives and requirements of company stakeholders on the supplier evaluation criteria. To help advance this area of research and further integrate sustainability into the supplier selection modelling area, we develop an integrated analytical approach, combining Analytical Hierarchy Process (AHP) with Quality Function Deployment (QFD), to enable the ‘voice’ of company stakeholders in the process. Drawing on the sustainable purchasing strategy development process, our AHP–QFD approach comprises four hierarchical phases: linking customer requirements with the company's sustainability strategy, determining the sustainable purchasing competitive priority, developing sustainable supplier assessment criteria, and lastly assessing the suppliers. An illustrative example is provided to demonstrate the application of the proposed approach.

Global suppliers' selection in foreign-aid funded procurement using the quality function deployment matrix

The supplier selection criteria used by the industrial buyers are considered critical elements for suppliers' choice process. However, little attention has so far been given to identify the specific selection criteria, and to analyse level of importance the buyers assign to the criteria in the context of developing economies. Using a sample of Executing Agencies (EAs), this study identified the supplier assessment criteria and their relative importance in foreign-aid funded procurement in Bangladesh. Data were collected against 32 seven-point semantic differential scaled items belonging to four categories of supplier assessment criteria, such as economic, reliability, familiarity with supplier, and other capability. The Quality Function Deployment (QFD) matrix was then applied to benchmark the performance of three major suppliers against buyers' (i.e. EAs) requirements. The results indicated that the suppliers involved in foreign-aid funded procurement are required to carefully design their offerings to meet buying organisations' requirements such as delivery on time with high level of quality products and services, maintain high level of technical support, provide better warranties, and maintain high calibre management system.

A fuzzy-QFD approach to supplier selection

This article suggests a new method that transfers the house of quality (HOQ) approach typical of quality function deployment (QFD) problems to the supplier selection process. To test its efficacy, the method is applied to a supplier selection process for a medium-to-large industry that manufactures complete clutch couplings. The study starts by identifying the features that the purchased product should have (internal variables “ WHAT”) in order to satisfy the company's needs, then it seeks to establish the relevant supplier assessment criteria (external variables “ HOW”) in order to come up with a final ranking based on the fuzzy suitability index (FSI). The whole procedure was implemented using fuzzy numbers; the application of a fuzzy algorithm allowed the company to define by means of linguistic variables the relative importance of the “ WHAT”, the “ HOW” –“ WHAT” correlation scores, the resulting weights of the “ HOW” and the impact of each potential supplier. Special attention is paid to the various subjective assessments in the HOQ process, and symmetrical triangular fuzzy numbers are suggested to capture the vagueness in people's verbal assessments.