Treffer: An integrated approach for supplier portfolio selection: Lean or agile?

Title:
An integrated approach for supplier portfolio selection: Lean or agile?
Authors:
ABDOLLAHI, Mohammad, ARVAN, Meysam, RAZMI, Jafar
Source:
Expert systems with applications. 42(1):679-690
Publisher Information:
Amsterdam: Elsevier, 2015.
Publication Year:
2015
Physical Description:
print, 1 p.1/4
Original Material:
INIST-CNRS
Subject Terms:
Computer science, Informatique, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Recherche operationnelle. Gestion, Operational research. Management science, Recherche opérationnelle et modèles formalisés de gestion, Operational research and scientific management, Théorie de la décision. Théorie de l'utilité, Decision theory. Utility theory, Sélection et gestion de portefeuilles, Portfolio theory, Modèles d'entreprises, Firm modelling, Logistique, Logistics, Analyse donnée, Data analysis, Análisis datos, Analyse enveloppement donnée, Data envelopment analysis, Análisis envolvimiento datos, Analyse multicritère, Multicriteria analysis, Análisis multicriterio, Atelier agile, Agile manufacturing system, Estudio agil, Décision floue, Fuzzy decision, Decisión borrosa, Estimation non paramétrique, Non parametric estimation, Estimación no paramétrica, Etude utilisation, Use study, Estudio utilización, Evaluation performance, Performance evaluation, Evaluación prestación, Faisabilité, Feasibility, Practicabilidad, Fournisseur, Supplier, Proveedor, Gestion portefeuille, Portfolio management, Gestión cartera, Interaction, Interacción, Logistique, Logistics, Logística, Marché concurrentiel, Open market, Libre mercado, Méthode non paramétrique, Non parametric method, Método no paramétrico, Prise de décision, Decision making, Toma decision, Problème sélection, Selection problem, Problema selección, Processus hiérarchie analytique, Analytic hierarchy process, Proceso jerarquía analítico, Production au plus juste, Lean production, Produccion al mas justo, Système complexe, Complex system, Sistema complejo, Sélection portefeuille, Portfolio selection, Selección cartera, Processus analytique en réseau, Analytic network process, Proceso Analítico en Red, Agile manufacturing, Analytical hierarchy process, Lean manufacturing, Supplier selection
Document Type:
Fachzeitschrift Article
File Description:
text
Language:
English
Author Affiliations:
Department of Industrial and Systems Engineering, Wayne State University, Detroit, MI, United States
School of Industrial and Systems Engineering, College of Engineering, University of Tehran, Iran, Islamic Republic of
ISSN:
0957-4174
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=28843434
Rights:
Copyright 2015 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Operational research. Management
Accession Number:
edscal.28843434
Database:
PASCAL Archive

Weitere Informationen

Supply chain environment is more dynamic and unpredictable than the past; therefore, it needs to be highly flexible in order to reconfigure in response to changes in their environment on the spur of the moment. This study presents a framework for supplier selection based on product-related and organization-related characteristics of the suppliers to be more competitive in the market and flexible to overcome probable changes in demands, supplies etc. Product-related and organization-related characteristics are those which are named in this study as lean and agile criteria respectively. Comprehensively digging up the literature, we extract the best criteria representing both leanness and agility of an organization. The aim of this paper is to select an appropriate supplier portfolio based on two aforementioned concepts. Supplier selection problem is solved using a combination of multi-criteria decision making (MCDM) methods. Due to the interaction between the criteria, analytical network process (ANP) is applied for determining the weight of each criterion for each alternative (supplier), and then data envelopment analysis (DEA) is used to rank them. The reason that DEA is used in this study is that when the number of suppliers increases, ANP approach tends to work inefficiently. Moreover, for determining the accurate interdependencies between the proposed criteria, fuzzy decision making trial and evaluation laboratory (DEMATEL) is applied. The framework is applied on a real case to demonstrate its applicability and feasibility.