Congestion analysis in DEA inputs under weight restrictions

Davoodi, Alireza; Rezai, H. Zhiani; Fallahnejad, Reza

doi:10.1057/jors.2011.104

Cited by 3 publications

(2 citation statements)

References 33 publications

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“…Others authors move on from classic DEA models, like [24] who identify and classify efficient DMU's by applying a two-stage DEA, and [27] develop a DEA model based around evaluating the effectiveness of PERT/CPM (critic path method) projects, and identifying points of reference between industries. Or [9] apply a DEA model with weight restrictions in their input variables.…”

Section: Literature Reviewmentioning

confidence: 99%

Data Envelopment Analysis to measure relative performance based on key indicators from a supply network with Reverse Logistics

Gamboa

Riveros

2018

INGE CUC

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Introduction− Data Envelopment Analysis (DEA) is used to measure the relative performance of a series of distribution centers (DCs), using key indicators based on reverse logistics for a company that produces electric and electronic supplies in Colombia. Objective− The aim is to measure the relative performance of distribution centers based on Key Performance Indicators (KPI) from a supply network with reverse logistics. Methodology− A DEA model is applied through 5 steps: KPIs selection; Data collection for all 18 DCs in the network; Build and run the DEA model; Identify the DCs that will be the focus of improvement; Analyze the DCs that restrict or diminish the total performance of the system. Results− KPIs are defined, data is collected and KPI's for each DCs are presented. The DEA model is run and the relative efficiencies for each DCs are determined. A frontier analysis is made and DCs that limit or reduce the performance of the system are analyzed to find options for improving the system. Conclusions− Reverse logistics, brings numerous advantages for companies. The analysis of the indicators allows logistics managers involved to make relevant decisions for higher performance. The DEA model identifies which DCs have a relative superior and inferior performance, making it easier to make informed decisions to change, increase or decrease resources, and activities or apply best practices that optimize the performance of the network. Para citar este artículo: C. Ardila Gamboa y F. Ballesteros Riveros, "Data Envelopment Analysis to measure relative performance based on key indicators from a supply network with reverse logistics"

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Section: Literature Reviewmentioning

confidence: 99%

Data Envelopment Analysis to measure relative performance based on key indicators from a supply network with Reverse Logistics

Gamboa

Riveros

2018

INGE CUC

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“…Investment 4 Lozano & Villa, 2005Park, 2007;Wong & Wong, 2007;Bao et al, 2008;Soleimani-damaneh, 2009;Alem et al, 2009;Dotoli et al, 2010;Barnum et al, 2010. Business 8 Saranga & Moser, 2010;Chen, 2010;. Marketing 3 Kang, 2010Samoilenko & Osei-Bryson, 2010;Milioni et al, 2011;Chen & Delmas, 2011;Kerstens & Woestyne, 2011;You & Yan, 2011;Zhou et al, 2011;Liu & Lu, 2012;Wang et al, 2012;Guedes et al, 2012;Akçay, 2012;Samoilenko, 2012;Samoilenko, 2012;Amindoust et al, 2012;Davoodi et al, 2012;Huang & Kao, 2012;Huang & Kao, 2012;Puri & Yadav, 2013; Organization 18 Braglia & Petroni, 2000;Triantis, 2004;Greasley, 2005;Sevkli et al, 2007;Chuang et al, 2009;Feng & Jiang, 2009;Xu et al, 2009;Bandyopadhyay, 2011. Product 8 Liu andWu, 2005;Seydel, 2006;Talluria et al, 2006;Ramanathan, 2007;Çelebi & Bayraktar, 2008;Zhao ...…”

Section: Introductionmentioning

confidence: 99%

A state-of-art review on supplier selection problem

Khodadadzadeh¹,

Sadjadi²

2013

10.5267/j.dsl

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Many supplier selection problems are involved with various criteria such as quality of supplier, price, delivery time, etc. This paper presents a survey on the implementation of using different multi criteria decision making (MCDM) methods for supplier selection problems. The reviews covers recent advances of MCDM techniques such as data envelopment analysis (DEA), analytical hierarchy process, etc. over the period 2000-2012. The review also reveals that nearly 60% of the applications are associated with business unit, 15% is related to economy, 9% is devoted to service and development and 8% is dedicated to research and development. In our survey, DEA has become the most popular technique for supplier selection problem followed by Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and Analytical Hierarchy Process (AHP).

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Healthcare Facility Location

Rezai,

Davoodi

2024

Studies in Systems, Decision and Control

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Congestion analysis in DEA inputs under weight restrictions

Cited by 3 publications

References 33 publications

Data Envelopment Analysis to measure relative performance based on key indicators from a supply network with Reverse Logistics

Data Envelopment Analysis to measure relative performance based on key indicators from a supply network with Reverse Logistics

A state-of-art review on supplier selection problem

Healthcare Facility Location

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