A DEA approach for selecting a bundle of tickets for performing arts events

Baldin, Andrea

doi:10.1016/j.jretconser.2017.08.014

Cited by 5 publications

(2 citation statements)

References 42 publications

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“…As mathematical programming methods, we have data envelopment analysis (DEA), linear programming and multi-objective programming. Baldin (2017) proposed a DEA approach for selecting a bundle of tickets for performing arts events. Li, Chen, Cook, Zhang, and Zhu (2018) used a two-stage network DEA method to rank alternatives and find the leader.…”

Section: Selection Methods and Approachesmentioning

confidence: 99%

An APS software selection methodology integrating experts and decisions-maker’s opinions on selection criteria: A case study

2019

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With important advancements achieved in information technology, wide varieties of advanced planning and scheduling (APS) software has emerged in recent decades. Each of those APS software uses their own techniques, algorithms and logic to plan and schedule operations, which makes the task of evaluating them very difficult. However, choosing the right APS software is critical for companies because of significant resources engaged and risk of disturbing operations. Presently, a clear, structured and rational approach is lacking in the literature for APS software selection. The main contribution of this paper is to fill this gap by developing an APS software selection methodology. The methodology is based on fuzzy quality function deployment (QFD) and two well-known multiple criteria decision-making (MCDM) techniques, analytic hierarchy process (AHP) and VIKOR. This work considers both company needs and APS selection criteria to build a hybrid

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Section: Selection Methods and Approachesmentioning

confidence: 99%

An APS software selection methodology integrating experts and decisions-maker’s opinions on selection criteria: A case study

2019

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“…This involves benchmarking identification. For this purpose, a super-efficiency DEA model was developed to achieve a complete ranking for all objects (Baldin, 2017; Tavassoli and Saen, 2019; Chen and Wang, 2022). Moreover, from a dynamic perspective, Le and Wang (2017) evaluated sustainable performance in the textile and apparel industry by employing the Malmquist productivity index (MPI) and found that technology change is the determinant of productivity growth.…”

Section: Literature Reviewmentioning

confidence: 99%

The operational performance of fashion companies in the context of the coronavirus pandemic: static and dynamic analyses

Huang

Zhong

2022

JFMM

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PurposeThis study clarifies the operational performance of fashion companies during the coronavirus pandemic. Meanwhile, improvement strategies have been provided in the post-pandemic era.Design/methodology/approachThe static and dynamic perspectives were combined to comprehensively analyze the operational performance of fashion companies before, during and after the COVID-19 outbreak. A comparative analysis among five representative countries was conducted to achieve global conclusions. Additionally, data envelopment analysis (DEA) theory and various DEA models were employed for the analysis.FindingsThe fashion industry has not achieved overall effectiveness. American companies have the best operational performance, followed by European and Chinese companies. In contrast, the impact of the pandemic on American companies was severe, whereas Chinese and European companies showed operational resilience. In addition, the pandemic had a devastating influence on the global fashion industry. This resulted in a decline in total factor productivity, and the main reason was technological regress. Furthermore, labor redundancy is a critical issue for the fashion industry in the post-pandemic era, even if it shows a decrease because of the pandemic.Originality/valueThe existing theory on the fashion industry during the pandemic was improved by expanding the time and geographical dimensions and integrating the advantages of various DEA models. Scientific improvement strategies were presented in the post-pandemic era with application value.

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Assessing the Relative Performance of Nurses Using Data Envelopment Analysis Matrix (DEAM)

et al. 2018

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Assessing employee performance is one of the most important issue in healthcare management services. Because of their direct relationship with patients, nurses are also the most influential hospital staff who play a vital role in providing healthcare services. In this paper, a novel Data Envelopment Analysis Matrix (DEAM) approach is proposed for assessing the performance of nurses based on relative efficiency. The proposed model consists of five input variables (including type of employment, work experience, training hours, working hours and overtime hours) and eight output variables (the outputs are amount of hours each nurse spend on each of the eight activities including documentation, medical instructions, wound care and patient drainage, laboratory sampling, assessment and control care, follow-up and counseling and para-clinical measures, attendance during visiting and discharge suction) have been tested on 30 nurses from the heart department of a hospital in Iran. After determining the relative efficiency of each nurse based on the DEA model, the nurses' performance were evaluated in a DEAM format. As results the nurses were divided into four groups; superstars, potential stars, those who are needed to be trained effectively and question marks. Finally, based on the proposed approach, we have drawn some recommendations to policy makers in order to improve and maintain the performance of each of these groups. The proposed approach provides a practical framework for hospital managers so that they can assess the relative efficiency of nurses, plan and take steps to improve the quality of healthcare delivery.

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A DEA approach for selecting a bundle of tickets for performing arts events

Cited by 5 publications

References 42 publications

An APS software selection methodology integrating experts and decisions-maker’s opinions on selection criteria: A case study

An APS software selection methodology integrating experts and decisions-maker’s opinions on selection criteria: A case study

The operational performance of fashion companies in the context of the coronavirus pandemic: static and dynamic analyses

Assessing the Relative Performance of Nurses Using Data Envelopment Analysis Matrix (DEAM)

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