Supplier selection in automobile industry: A mixed balanced scorecard–fuzzy AHP approach

Galankashi, Masoud Rahiminezhad; Helmi, Syed Ahmad; Hashemzahi, Pooria

doi:10.1016/j.aej.2016.01.005

Cited by 92 publications

(57 citation statements)

References 38 publications

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“…(1) Financial: measurements of create value for the shareholder, ("how do we look to the shareholders? "), risk management, and product profitability [186]. (2) Customers: measurements that reflect the impact of the strategy on customers ("how do clients see us?…”

Section: Evaluation Of Strategiesmentioning

confidence: 99%

Conceptual Framework for the Strategic Management: A Literature Review—Descriptive

Fuertes

Alfaro

Vargas

et al. 2020

Journal of Engineering

145

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The objective of this work is to review the literature of the main concepts that lead to determining the strategic approach, creation of strategies, organizational structures, strategy formulation, and strategic evaluation as a guide for the organizational management, taking into account the effects produced by the different types of strategies on the performance of organizations. In this article, the systemic literature review method was used to synthesize the result of multiple investigations and scientific literature. The process of reading and analysis of the literature was carried out through digital search engines with keywords in areas related to the strategic management. This research reveals the lack of scientific literature containing important theoretical concepts that serve the strategists as a guide in the creation, formulation, and evaluation of strategies. This review contributes to the existing literature by examining the impact of the strategic management on the organizational performance.

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Section: Evaluation Of Strategiesmentioning

confidence: 99%

Conceptual Framework for the Strategic Management: A Literature Review—Descriptive

Fuertes

Alfaro

Vargas

et al. 2020

Journal of Engineering

145

View full text Add to dashboard Cite

show abstract

“…Galankashi ve ark. [19], çalışmalarında, otomotiv sektöründe tedarikçileri değerlendirme ve seçmek için bulanık AHP modelini önermişlerdir. Tavana ve ark.…”

Section: Li̇teratürde Yapilan çAlişmalarunclassified

Savunma Sanayi̇i̇nde Strateji̇k Ürün İçi̇n Çok Kri̇terli̇ Karar Verme Yöntemleri̇ İle Tedari̇kçi̇ Seçi̇mi̇

Aydin¹,

Eren²

2018

Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi

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ÖZTedarikçi seçimi bir satın alma departmanın en önemli işlevlerinden biridir. Ayrıca, sonuçları incelendiğinde şirketin teslimat ve kalite performansını etkilemesi nedeniyle şirketler için stratejik bir öneme de sahiptir. Tedarikçi seçimlerini doğru yapan işletmeler pek çok alanda tasarruf sağlayıp, pazarda rekabet avantajı da elde edebilirler. Ancak bu seçimin teoriden pratiğe aktarılması çoklu çelişen kriterler ve kesin olmayan parametrelerden dolayı oldukça karmaşık bir hale gelebilir. Tüm bu nedenlerden dolayı, yaygın olarak kullanılan çok kriterli karar verme araçlarından biri olan Analitik Hiyerarşi Problemi (AHP) ve İdeal Çözüme Yakınlığa Göre Tercih Sıralama Tekniği (TOPSIS) algoritmaları bu tarz tedarikçi seçimi problemleri için uygun bir yaklaşım olarak değerlendirilmektedir. Bu çalışmada, ülkemiz savunma sanayisi için kritik bir alt bileşen olan gövde parçası için en iyi tedarikçinin seçilmesi maksadıyla, seçilen kriterlere göre en iyi tedarikçi belirleyen bir AHP-TOPSIS melez yöntemi üzerinde durulmuş; kalite, maliyet, teslimat, makina parkuru, kalifiye işçilik ve teknik yeterlilik kriterleri doğrultusunda bir seçim yapılmaya çalışılmıştır.Anahtar Kelimeler: Savunma Sanayi, Tedarikçi Seçim Problemi, AHP, TOPSIS SUPPLIER SELECTION WITH MULTI CRITERIA DESICION MAKING METHODS FOR STRATEGIC PRODUCTS IN DEFENSE INDUSRTY ABSTRACTSupplier selection is one of the most important functions of a purchasing department. Also, when the results are examined, it also has a strategic precaution for companies as it affects delivery and quality performance of the company. Businesses that make the right choice of suppliers can save a lot of space and gain a competitive edge on the market. However, the transfer of this choice in theory to practice may become quite complicated due to multiple conflicting criteria and uncertain parameters. For all these reasons, Analytical Hierarchy Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) algorithms, one of the widely used multi-criteria decision-making tools, are considered as a suitable approach for such supplier selection problems. In this study, we focus on the AHP-TOPSIS hybrid method, which determines the best supplier according to the selected criteria, in order to select the best supplier for the trunk component, which is a critical sub-component for the defense industry, and a selection has been made in line with the criteria of quality, cost, delivery, machine park, qualified workmanship and technical competence.

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“…Orji and Wei [25] proposed a new modeling integrated approach to supplier behavior in the fuzzy environment with system dynamics simulation modeling technique leading to a more reliable decision support system. Rahiminezhad Galankashi et al [26] presented an integrated balanced scorecardfuzzy analytic hierarchical process model to select the suppliers in the automotive industry. Amorim et al [27] showed that a mixed adoption of informal and formal means of selection and control enhances supplier performance.…”

Section: Related Workmentioning

confidence: 99%

“…Members of un tted particles are placed in a repository. In the selection, a cell is selected meeting the competency condition; thus, we have: n i < n j => p i p j : (26) Boltzmann technique is used to de ne p as:…”

Section: Mopsomentioning

confidence: 99%

A fuzzy multi-objective multi-product supplier selection and order allocation problem in supply chain under coverage and price considerations: An urban agricultural case study

2017

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KEYWORDSMulti-objective supplier selection problem; Coverage; Fuzzy logic; MOPSO; NSGA-II.Abstract. In this paper, a fuzzy multi-objective model is presented to select and allocate order to the suppliers in uncertain conditions, considering multi-period, multisource, and multi-product cases at two levels of a supply chain with pricing considerations. Objective functions considered in this study as the measures to evaluate the suppliers are the purchase, transportation, ordering costs, and timely delivering (or deference shipment quality, or wastages) which are amongst major quality aspects. Partial and general coverage of suppliers with respect to distance and nally suppliers' weights makes the amounts of product orders more realistic. Deference and coverage parameters in the model are considered as uncertain and random triangular fuzzy number. Since the proposed mathematical model is NP-hard, Multi-Objective Particle Swarm Optimization (MOPSO) algorithm is presented. To validate the performance of MOPSO, we applied non-dominated Sorting Genetic Algorithm (NSGA-II). Taguchi technique is executed to tune the parameters of both algorithms. A practical case study in an agricultural industry is shown to demonstrate that the proposed algorithm can be applied to the real-world problems. The results are analyzed using quantitative criteria, performing parametric, and non-parametric statistical analyses.

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Supplier selection in automobile industry: A mixed balanced scorecard–fuzzy AHP approach

Cited by 92 publications

References 38 publications

Conceptual Framework for the Strategic Management: A Literature Review—Descriptive

Conceptual Framework for the Strategic Management: A Literature Review—Descriptive

Savunma Sanayi̇i̇nde Strateji̇k Ürün İçi̇n Çok Kri̇terli̇ Karar Verme Yöntemleri̇ İle Tedari̇kçi̇ Seçi̇mi̇

A fuzzy multi-objective multi-product supplier selection and order allocation problem in supply chain under coverage and price considerations: An urban agricultural case study

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