Supplier selection in an agile manufacturing environment using Data Envelopment Analysis and Analytical Network Process

Hasan, Mohd.; Shankar, Ravi; Sarkis, Joseph

doi:10.1504/ijlsm.2008.017599

Cited by 47 publications

(37 citation statements)

References 71 publications

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“…DEA is a linear programming algorithm that has been used successfully in determining the best-practice production frontier relative to individual firms or decision making units (DMUs). In DEA, performance efficiency is measured by a weighted sum of outputs to a weighted sum of inputs for a particular DMU [6] [1]. A DMU represents a service provider who in a pre-selection stage is competitively measured against other providers on their overall performance based on a set of criteria that have been developed.…”

Section: Service Selection and Ranking Methodsmentioning

confidence: 99%

Conceptual Modelling for Requirements of Government to Citizen Service Provision

Sun

Mushi

Alsoud

2011

Information Systems Development

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Government to citizen (G2C) service provision is demanded to fit for purpose for users. A process of finding services from a G2C system involves understanding of the user's request, selecting the relevant services, and deciding amongst the candidate services to meet the user's needs. Some current approaches, such as benchmarking methods, are capable of measuring the service quality in the quantitative manner. However, G2C services also have intangible features which can be measured qualitatively. In this paper, a method is described to model the requirements of G2C services and their provision. To facilitate a service provision process, a set of criteria is identified and used to ensure the quality of the resultant services. An ontology model developed represents requirements of service provision in a web service environment that involves service consumers, service providers, and service advisor. Interactions between these stakeholders are defined by norms which generate workflows for executing the functions in the techniques. An experiment using DEA is carried out in this paper based on quantitative criteria to validate the method and its techniques, i.e. articulates, derives and pre-selects. The pre-selected services as the candidates are further evaluated with the contribution of the qualitative features of the services by using analytical hierarchical process (AHP) to decide for winning services.

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Section: Service Selection and Ranking Methodsmentioning

confidence: 99%

Conceptual Modelling for Requirements of Government to Citizen Service Provision

Sun

Mushi

Alsoud

2011

Information Systems Development

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“…Pemilihan supplier merupakan proses dimana perusahaan harus terlebih dahulu mengidentifikasi, kemudian menilai, dan akhirnya kontrak dengan supplier (Beil, 2010). *) Koresponden: subiyanto@mail.unnes.ac.id Hasan (2008) menyatakan bahwa, pemilihan supplier bahan baku adalah salah satu komponen terpenting dalam manajemen rantai pasokan dimana keberhasilan jangka pendek dan jangka panjang dari suatu perusahaan akan sangat bergantung pada pemilihan supplier yang tepat. Apabila bahan baku yang disediakan oleh supplier buruk, maka akan berpengaruh terhadap kualitas produk yang dihasilkan.…”

Section: Pendahuluanunclassified

Penggunaan Analytical Hierarchy Process (AHP) Untuk Pemilihan Supplier Bahan Baku

Nisa

Subiyanto

Sukamta

2019

J. Sistem Info. Bisnis

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The purpose of this paper is to present a decision support system supplier selection of food industry raw materials especially cake and bakery, by using new technology that is famous for its robustness that is Analytical Hierarchy Process (AHP). The importance of this research is to find a new varian of the AHP application, therefore increase scientific literature related the method especially for cake and bakery industrial. Furthemore, to provide a reference of selecting raw materials supplier methods in the industry. The model starts by identifying the main criteria (quality, price, delivery, and service) using the main criteria ranking based on the opinions of experts using AHP. The second stage is identifying the sub criteria (materials supplied halal and equipped with halal certificates, sample tests and physical observations, price of goods, maximum and continuous capacity and supply capacity, discount price levels and certain purchases, the existence of supplier offices and cooperation and reference commitments) and their ranking based on the main criteria. The results of this study indicate that the Analytical Hierarchy Process (AHP) method can produce a decision support system that the right results according to field data at Virgin Cake and Bakery. The results of this study indicate that overall the best supplier to be chosen by the company to be use as a long-term co-worker is supplier A because overall this supplier has the highest value compared to the other three suppliers.

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“…Although there are not as many studies in which ANP and DEA are integrated for supplier selection, the number of such studies has increased in recent years. Some of these are as follows: ANP and DEA methods were integrated for the selection of supply chain partners at small and medium-sized companies [34], for supplier selection at a manufacturing firm [35], and for green supplier selection [36]. In Abdollahi, Arvan and Razmi's [37] study, the authors categorised the suppliers as 'lean' and 'agile', and proposed some suggestions for supplier relationship management (SRM).…”

Section: Literature Reviewmentioning

confidence: 99%

Integrating Qualitative and Quantitative Factors in Supplier Selection and Performance Evaluation

Samut

Aktan

2019

SAJIE

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Companies need to cooperate with reliable and high-performing suppliers of goods and services, and build mutual long-term relationships in order to sustain their existence and increase their market share. An engineering manager can determine the most effective strategy in supplier selection by the proposed model, which allows an integration of objective values and the uncertainty of human judgements. A two-stage integrated fuzzy analytic network process (FANP) and super-efficiency data envelopment analysis (DEA) model is proposed and applied to a wind turbine project of a company operating in the renewable energy sector. At the first stage of the methodology, the weights of the qualitative criteria were determined by using FANP. At the second stage, the qualitative supplier selection criteria that were converted into quantitative criteria with FANP were used as outputs; and cost (which was already a quantitative criterion) was used as an input in the DEA, by way of which the performances of the suppliers were assessed. This study, which includes decision-making, performance management, and supply chain management issues, introduces a new approach, both in terms of the sector referred to and the methodology that enables companies to select the best suppliers by assessing both qualitative and quantitative factors.

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Supplier selection in an agile manufacturing environment using Data Envelopment Analysis and Analytical Network Process

Cited by 47 publications

References 71 publications

Conceptual Modelling for Requirements of Government to Citizen Service Provision

Conceptual Modelling for Requirements of Government to Citizen Service Provision

Penggunaan Analytical Hierarchy Process (AHP) Untuk Pemilihan Supplier Bahan Baku

Integrating Qualitative and Quantitative Factors in Supplier Selection and Performance Evaluation

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