Decision support system based in AHP method to selection vendors of clinical laboratorys inputs

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André Andrade Longaray
Anderson Picua Gonçalves
Vilmar Gonçalves Tondolo
Rosana Tondolo
Catia Maria dos Santos Machado
صندلی اداری

Abstract

In a competitive marketing scenario, the purchasing area contributes significantly to the achievement of organizational goals. Its mission is to identify the competitive needs of products and services, becoming responsible for the timely delivery, costs optimization and quality. Within shopping, a correct selection of vendors is important for this to happen. From this perspective, the present study aims to develop a model that assists in the vendors’ selection process. This way, a case study was carried out in a clinical analysis laboratory located in the city of Rio Grande, where the AHP (Analytic Hierarchy Process) was used as an intervention tool. The development process consisted in three stages. The first one aimed at structuring the model, in which the hierarchy of criteria was defined. In the second step, the judgments were carried out and the relative weights for each criterion and subcriterion were calculated. Finally, the third step aimed at applying the model developed in a purchasing process. The model was tested in a selection process that involved the evaluation of three vendors of a laboratorial input, in order to identify which one met the demands of the organization. The result obtained with its use was considered satisfactory, this way, the model was approved by the manager who participated in the structuring process of the AHP hierarchy.

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Author Biographies

André Andrade Longaray, Federal University of Rio Grande - Brazil

The core expertise of professor Longaray is to take the support to real decision situations of people and organizations using PSM (for instance, the Cognitive Mappings and Soft System Methodology) associated with MultiCriteria Methods of Operational Research, like MACBETH and AHP. He is an Associate Professor of Management Science at the Federal University of Rio Grande (FURG, Brazil) since 1998 and head of its research group on Operational Research (LabSADi). He received his D.Sc. in Production Engineering and Systems (2004) from the Federal University of Santa Catarina (UFSC). As a decision scientist, he has more than fifteen years of experience in conducting analytical decision-aiding projects for public and private organizations.

 

Vilmar Gonçalves Tondolo, Federal University of Pelotas - UFPEL

Graduated in Business Administration from the Federal University of Rio Grande (2001), Master in Business Administration from Vale do Rio dos Sinos University (2004). Doctorate in Administration by Unisinos (2011), with a PhD in the University of Texas Pan American (2009). Has experience in research area of administration, with emphasis on studies in strategy, sustainable practices and management of third sector organizations. Has experience as an organizational consultant in the area of strategy, operations, supply chain and third sector organizations. He is a post-graduate student stricto sensu as a professor and a tutor since 2011. He is currently an adjunct professor at the Faculty of Administration and Tourism at the Federal University of Pelotas.

Rosana Tondolo, Federal University of Pelotas - UFPEL

Post-doctoral degree from the University of Southern Santa Catarina, PhD in Administration from the University of Vale do Rio dos Sinos, Master in Business Administration and Bachelor in Accounting from the University of Caxias do Sul. Adjunct Professor at the Federal University of Pelotas, -graduation in Territorial Development and Agroindustrial Systems. Has teaching experience in the courses of Administration, Accounting Sciences, Management Processes and Human Resources. He works in the area of Administration, with emphasis on Organizational Management, focusing mainly on the following topics: Organizational Social Capital, Management of Organizations of the Third Sector, Transparency and Accountability in Social Organizations, and Social Innovation.

Catia Maria dos Santos Machado, Federal University of Rio Grande - FURG

Graduated in Mathematics from the Federal University of Rio Grande (1985), specialization in Mathematics and Applied Mathematics (1997), master's degree in Applied Mathematics from the Federal University of Rio Grande do Sul (1999) and PhD in Prog. of Graduate in Production Engineering by the Federal University of Santa Catarina (2005) in the area of Transportation and Logistics. Currently Associate Professor III of the Institute of Mathematics, Statistics and Physics of the Federal University of Rio Grande (FURG). He has experience in Mathematics, with emphasis on Applied Mathematics, working mainly on the following topics: Combinatorial Optimization, Graph Based Algorithms, Mathematical Programming.

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