Supplier selection

In today’s competition strategy, selecting the most proper supplier isone of the success factors of
companies. Supplier selection and associations with suppliers generate the most important decision problems of
companies. Because of this importance,great numbers of companies coming from different sectors both in Turkey
and in the rest of the world cooperate with suppliers by assigning their processes partially to them or cooperate
with suppliers providing the most proper inputs in order to minimize their costs and these companies target to
offer fast and high quality solutions totheir customers by benefiting the expertise of their suppliers. At this point,
selecting the right supplier which is expected to satisfy the demands of companies and their customers emerges as
an important issue. The objective of this paper is comprehending the criteria hierarchy and the priority considered
as base for selecting the suppliers and maintaining the relations with the existing suppliers. For that purpose, the
priority of supplier selection criteria, which is assigned by the companies, is tried to be determined by using fuzzy
pair-wise comparison.
Keywords:Fuzzy logic, supplier selection, clothing sector, fuzzy pair-wise comparison method, decision making

The aim of the paper is to present the finding of an investigation conducted at a local branch of an international company involved in the construction of renewable power plant in South Africa. The study followed a quantitative design approach to identify the correlation between the organizations internal controls and its supplier's performance. Therefore, a purposive sampling technique i.e. questionnaires, was electronically sent out by email to 40 employees involved in the construction of renewable power plants. The results of the study revealed the organization failed to define and implement an effective supplier selection process. The results also revealed that the expected quality performance of the supplier was not clearly documented and quantified in the contract documents. There was no consideration taken by the organization about employee's capability and competence in managing the project. Due to the nature the study, the results cannot be generalised throughout the whole industry.

Negli ultimi anni il brand è entrato a pieno titolo tra gli strumenti di marketing dell'impresa operante nei mercati business-to-business. Tuttavia ad oggi poco si sa sulle strategie con le quali l'impresa dovrebbe gestire il brand in tali mercati. Si tratta di decisioni molto complesse che devono tenere conto delle peculiarità del business-to-business, non potendo semplicemente mutuare logiche e strumenti dal branding nei mercati business-to-consumer.Il presente lavoro si propone di fare luce su questo tema cercando di chiarire come l'impresa dovrebbe definire e gestire il proprio mix di strategie di BtoB branding in funzione delle specificità dei mercati (tipi di clienti e di supply chain) in cui opera. L'analisi è arricchita dallo studio in profondità di alcuni casi di imprese con una consolidata esperienza nelle attività di BtoB branding in Italia.

In this study, a hybrid model based on ANFIS (Adaptive Neuro-Fuzzy Inference Systems), a predictive intelligent-based technique, and TOPSIS (Technique for Order Performance by Similarity to Ideal Solution) was implemented for sustainable supplier selection. Selection of supplier is a crucial task for companies to achieve the objectives of inbound and outbound supply chain system. This selection process may be complex due to the inclusion of diverse subjective and objective factors. There is, therefore, the need for a reliable methodology to provide higher accuracy in predictions of anticipated supplier performance, and this article makes contributions in that direction. The model was applied in the retail end of a fast-moving consumer goods (FMCG) industry to select the best possible suppliers using the sustainability criteria of the triple-bottom-line. Available data from the FMCG retail sector was fed into the TOPSIS and ANFIS model to rank the suppliers. Results indicated that th...

— The major objective of this research is to suggest an integrated model to assess suppliers from an agile manufacturing viewpoint. Agile manufacturing has attained a broad quantity of attention in preceding researches. However, its incorporation with supplier selection is less inspected. To consider this ignorance, this research proposed an incorporated method to select suppliers based on agile manufacturing attributes. Mainly, four performance categories (virtual enterprise, market sensitivity, process integration and network based supply) as well as 12 related measures were chosen as substitutes for agility. The extracted metrics were used as the main criteria of Fuzzy AHP. The proposed model was solved and some managerial implications were recommended.

In India & outside countries there are several Semi Precious Gemstone Slab Manufacturers, who offers various kinds of semi-precious products. Height Stones Luxury is one of them. We have a vast collection of semi-precious stone tiles, slabs, counter tops, etc. These tiles make your wall more creative & attractive look.

The purpose of this paper is to develop a supplier selection and management program to improve overall supplier performance.
Design/methodology/approach – Supplier performance is measured in terms of quality and delivery within a fast moving consumer goods (FMCG) business of a multinational company based in Thailand using
a case study methodology. The quality and delivery related data were collected from daily deliveries at the manufacturing plant both before and after implementing the supplier management program. Findings of the study suggest that the selection of suppliers based on their performance is important for manufacturing firms. Moreover, the supplier selection and management program can contribute effectively to improving suppliers’ performance. This case study has been conducted based on a single company within the FMCG industry. Hence, it limits the generalizability of the findings across industries. The study provides a real-life tool for practitioners to learn about the importance
of strategic decision-making process pertaining to the supplier selection and management program. This study demonstrates that through a transparent supplier evaluation process, the firms can develop trust and long-term relationship with their suppliers for pursuing the goals of product development and innovation. Implementing a supplier management system is a critical step in enhancing an organization’s overall competitiveness. To develop an effective supplier management system firms must have objective measures and share those with their suppliers. Developing metrics for suppliers’ evaluation is the key to achieving continuous improvement as evidenced in this case.

Keywords: Thailand, Qualitative research, Supply chain management, Case study, Supplier selection, Supplier management, Fast moving consumer goods

Supply Chain Management describes the planning and managing tasks from the starting point of a product to the end consumer. These tasks include choosing the right suppliers, managing the logistics and coordinating all partners that are included in the supply chain.
Supply Chain Management is a method that goes far outside the boundaries of a single company. Different companies build together a network of resources they deliver to each other. From the supplier to the distributor to the end customer we can look at this network as a long chain. Everybody in this network performs a task in that chain so that in the end the customer gets the product he wants. The integration and coordination of all performers in the supply chain is a difficult task, which is done by the Supply Chain Management.

We draw on extant literature on strategic sourcing and supply base rationalization to anchor our argument that measuring supplier performance diversity is germane to executing an effective supply base rationalization strategy. We explicate how a novel approach to data envelopment analysis (DEA) efficiency assessment can be utilized to measure this performance diversity. More specifically, our methods are anchored in cross efficiency analysis in DEA that allows for evaluating the efficiency of a supplier with respect to the optimal weights (strengths) of its peers. This methodology is applied to an actual supplier dataset of a large multinational telecommunications company in categorizing their supply base into groups for effective supplier rationalization. We conclude that measuring and analyzing the performance diversity within the framework of DEA provides a mechanism for firms to better balance a rationalized and diversified supply base with unique skills.

Supplier Development is a term used in Supply Chain when working with Identified Suppliers to improve the performance for the Buying Organisation. Within this research, the study undertaken is exploring the utilisation of Supplier Development within the Supply Chains, under what context it is carried out and by whom.

Through the Literature Review, there were three main areas that are important to Supplier Development, namely Supplier Performance, Financial Management and Organisational Management. Focusing on the Organisation against a Proactive Approach around Supplier Development can considerably enhance a Supply Chain efficiency, by recognising processes and a Supply Chain which drives value and provides additional feedback through the internal stakeholders, by therefore reducing uncertainty and developing trust, commitment and transparency in a substantially growing parts of more Organisations.

In today’s competitive environment, effective supplier selection process is very important for the success of manufacturing industries. Supplier selection represents one of the most important functions to be performed by the purchasing departments. Supplier selection is a multi-criteria problem including many factors (criteria).Aim of this paper to find out the best supplier from bench of suppliers from the manufacturing industry by using AHP and ELECTRE method.

Supplier selection is a strategic decision-making task for any company, as it engages multiple criteria for the evaluation and selection of alternate suppliers. So, multi-criteria decision making (MCDM) is a necessary approach in this domain. When both the qualitative and quantitative criteria are available and required to be evaluated simultaneously in decision making process for the supplier selection, a proper integrated approach is necessary to be adopted in order to select the best supplier and to find out the interrelationship structure within criteria. To address these issues, this paper proposes a unique integrated multi-attribute decision making (MADM) and mathematical programming (MP)-based model in a mixed environment (i.e., considering qualitative and quantitative criteria together) by combining decision making trial and evaluation laboratory (DEMATEL)-based on analytic network process (ANP), i.e., DANP, fuzzy technique for order of preference by similarity to ideal solution, i.e., FTOPSIS and multiple segment goal programming (MSGP). Network relationship map (NRM) is used to outline the interrelationships among the dimensions and criteria. The novelty of the proposed supplier selection approach lies with the fact that both the qualitative and quantitative criteria have been considered in it. Sensitivity analysis has also been carried out to validate the result of our proposed methodology. In addition, the result of our proposed method is supported by DANP-based fuzzy VIseKriterijumska Opti-mizacija I Kompromisno Resenje (FVIKOR) technique and the best supplier has been identified. Delivery schedule and environmental collaboration are revealed to be the most and least important dimensions, respectively.

Public sector organizations in Kenya including public universities experience supplier relationship development challenges and this negatively affects service delivery. Current study therefore tried to establish the effect of supplier evaluation on service delivery in Moi University in Kenya. The objective was grounded by reinforcement theory of performance management. The study adopted an explanatory research design. The target population was 219 key informants which included all procurement staff and administrative staff from Moi University. Stratified and simple random sampling technique was adopted to arrive at the sample size which is 142 key informants. Data was collected from the key informants by use of semi- structured questionnaires and interview schedule. The instruments were tested for reliability and validity to enhance credibility of data. In inferential statistics, multiple regression and Pearson correlations was used while in descriptive statistics mean; frequencies, standard deviations kurtosis and skewness was used. Multiple regression analysis was used to model the relationship between the study variables. The researcher regressed the variables at 5% significance level to determine the strength of the variables and direction of their relationship. The reliability coefficient of 0.7 and above is highly appropriate and was used as a measure for accepting reliability of the variables. The researcher presented data by use of tables. The study findings showed study variable supplier evaluation β=0.331, p<0.05 was positive and statistically significant to service delivery at Moi university in Eldoret. The study concludes that supplier evaluation affects service delivery at Moi University. Supplier evaluation has gained significance with initiatives for managing costs and driving efficiency in organizations in order to increase the overall service delivery. The study recommended that the management of Moi University should formulate and implement policies to enhance strategic partnerships with its suppliers.

The main goal of green supply chain management (GSCM) is to reduce the negative environmental impacts in all activities and stages of a supply chain. Evaluation of suppliers in a supply chain according to environmental criteria can help us to achieve this goal of GSCM. Since this evaluation usually comprises some alternatives and some criteria, green supplier selection (GSS) could be considered as a multi-criteria decision-making (MCDM) problem. To handle the uncertainty of information in an MCDM problem, the theory of fuzzy sets is an effective tool. Interval type-2 fuzzy sets (IT2FSs), which are characterized by an interval membership function, is very flexible to model the uncertainty of the MCDM problems. In this study, a new integrated approach based on Weighted Aggregated Sum Product Assessment (WASPAS) method, is proposed to deal with multi-criteria group decision-making problems with IT2FSs. This approach is based on the operators of IT2FSs, some modifications in the classical WASPAS method and a new procedure for calculation of criteria weights. In the procedure of calculation of criteria weights, we combine the subjective weights expressed by decision-makers with objective weights resulted from an entropy method to obtain more realistic weights. To show the applicability of the proposed approach in the real-world MCDM problems, a green supplier selection problem is used. We perform a sensitivity analysis with different weights of criteria and different values of method's parameters to show the stability of the proposed approach. This analysis shows that combining the subjective and objective weights can help to increase the stability of the proposed approach with different weights of criteria. A comparison is also made between the results of the proposed approach and some existing methods for validating the proposed approach. This analysis shows that the proposed approach is efficient and well consistent with the other methods.

Supply chain risk management research has mainly mistreated the important of sustainability issues. Moreover, there is little knowledge about sustainable management of risk and supply chain and the way they impose losses for firms. Risk management's duty in the supply chain is to identify, analyze, and provide solutions for accountability, control and monitor the risks in the economic and production cycle. This study aims to develop a framework for the sustainable supply chain risk management (SSCRM) evaluation. To this end, an integrated fuzzy multi-criteria decision-making (MCDM) approach is proposed based on the technique in order of preference by similarity to ideal solution (TOPSIS) and criteria importance through inter-criteria correlation (CRITIC) methods. The literature was reviewed and the potential criteria were identified. Through an expert panel the criteria were filtered. Seven main criteria and forty-four sub-criteria were developed for the final evaluation SSCRM framework. The most dominant sub-criteria in each group found to be as; machines & equipment risks, key supplier failures, demand fluctuations, government policy risks, IT security, economic issues, and lack of proper sewage infiltration. Besides, A2 (Nouri complex) found to be the best practitioner. The methodology is successfully implemented in a real case company. The detailed account of implications and limitations are presented as the concluding remarks.

A B S T R A C T In past recent years, by increasing in the considerations on the significance of data science many studies have been developed concerning the big data structured problems. Along with the information science, in the field of decision science, multi-attribute decision-making (MADM) approaches have been considerably applied in research studies. One of the most important procedures in supply chain management is selecting the optimal supplier to maintain the long-term productivity of the supply chain. There has been a vast amount of research which utilized MADM approaches to tackle the supplier selection problems, but only a few of these research considered big data structured problems. The current study presents a comprehensive novel approach for improving Multiple Criteria Decision Analysis (MCDA) based on cluster analysis considering crisp big data structure input which is called CLUS-MCDA (Cluster analysis for improving Multiple Criteria Decision Analysis) algorithm. The proposed method is based on consolidating a data mining technique i.e. k-means clustering method and a MADM approach which is MULTIMOORA method. CLUS-MCDA method is a fast and practical approach which has been developed in this research which is implied in a supplier selection problem considering crisp big data structured input. A real-world case study in MAMUT multinational corporation has been presented to show the validity and practicality of the CLUS-MCDA approach which calculated considering the business areas and criteria based on expert comments of mentioned organizations and previous literature on supplier selection problem.

In this study, a novel framework is presented to assess supply chain management performance measurement (SCMPM) of small-medium sized enterprises (SMEs) under uncertainty by additive ratio assessment (ARAS) method that developed in fuzzy environment. Three decision phases with different levels of uncertainty in the supply chains were included in the evaluation process. More specifically, forty-three criteria were proposed to evaluate processes in three decision levels; strategic, tactical and operational. Also, the proposed criteria were assessed in terms of being financial, non-financial, qualitative and quantitative. A demonstration of the application of this methodology in a real case is presented accordingly. The results indicate that the quality of delivering goods, damage rates, rate of returning goods and full and on-time delivery, obtained the highest priority and A3 was chosen to be the best alternative in terms of performance.

La evaluación y selección de proveedores es una actividad constante en las industrias de todos los sectores y este es
un proceso que ha evolucionado ampliamente en relación a las técnicas y los atributos que se integran. Sin embargo, no definir los atributos que se deben de evaluar es un problema complejo, por lo que en este artículo se reporta una revisión de literatura de los años 2009 a 2011 en relación a ello. Se ha encontrado que la calidad es uno de los atributos mas evaluados, al igual que el costo y el tiempo de entrega.

Actualmente existen muchas técnicas de evaluación que auxilian en el proceso de selección de proveedores, sin
embargo no existe consenso sobre cuál de ellas es mejor que otra o bajo qué circunstancias usarlas. En este artículo se
reporta un caso de estudio, donde un conjunto de proveedores son evaluados mediante la técnica MOORA. El problema consiste en seleccionar un proveedor de un componente electrónico usado en un subensamble automotriz y los atributos evaluados son el precio, la calidad del servicio por parte de proveedor, la administración y organización del proveedor y la tecnología que posee en sus procesos de producción. Después de la evaluación se eligió al mejor proveedor y esta técnica ha sido usada en la selección de proveedores de otros componentes.

A number of manufacturing firms in developing countries do not practice affordable, efficient and user friendly
supplier selection tools because of its cost of an adequate planning and inappropriateness of application. If a systematic
method is performed then it is possible to select the most suitable suppliers efficiently with respect to time, cost and
quality. This study depicts an overview of the FUZZY-TOPSIS methods for multi-criteria decision making problem under
uncertain environments. A qualitative and quantitative criterion comprises this supplier selection mode in this paper. This
study also deals with optimum decision making for supplier selection and allocating order by applying the proposed
method. This proposed method with triangular fuzzy numbers is utilized for dealing with uncertain and imprecise judgment
of decision makers. A detailed step by step implementation method is proposed in this paper. At last a case study is made
at Holcim Cement Bangladesh Ltd. Mongla Plant, Khulna.