Technology forecasting using DEA in the presence of infeasibility

Lim, Dong‐Joon

doi:10.1111/itor.12198

Cited by 14 publications

(6 citation statements)

References 29 publications

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“…The local RoC (δ T j ) is the weighted average of changes observed in the adjacent technology frontiers; in (5), the numerator indicates the weighted sum of the relevant changes observed from outperformed technologies that have set DMU j as a benchmark, while the denominator indicates the accumulated contribution of DMU j to the expansion of the corresponding frontier facet. See more discussions on the computational details in [21], [22], [33] and relevant recent applications in [19], [23], [32], [34]. occurred with a facelift, hence the dataset included total 1,206 engines with 4, 6, or 8 cylinders after filtering out vehicles equipped with duplicated engines.…”

Section: Methodsmentioning

confidence: 99%

Assessment of Regulatory Requirements on Technological Changes: The Increasing Dominance of Downsized Turbo/Super-Charged Engines Over Naturally Aspirated Engines

Lim

Yang

2019

IEEE Access

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Technological progress is often guided by new policies in an attempt to facilitate the desired future. The auto industry is no exception and is indeed continually advancing to meet increasingly stringent environmental standards that require a reduction in fuel consumption and greenhouse gas emissions. With the realization that the forced induction system is a viable solution that shows improved performance and complies with strict regulations, downsized turbo/super-charged (T/SC) engines have turned naturally aspirated (NA) engines into a niche technology. This paper employs a longitudinal efficiency analysis of internal combustion engines to assess the impact of regulations on technological changes in the 4-, 6-, and 8-cylinder segments over the past ten years. The results indicate that T/SC engines have further pushed their dominance in the technology frontier both in the compact segment and the luxury sports segment. If the current environmental and fuel economy regulations continue to become more stringent, a return to high-displacement unblown engines is unlikely to happen without a major breakthrough in NA technologies. We also show that the noticeable technological advancements have been made in 6-cylinder engines to fulfill the Euro 4 norm, while incremental progress has been made in the 4-and 8-cylinder engine segments.

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Section: Methodsmentioning

confidence: 99%

Assessment of Regulatory Requirements on Technological Changes: The Increasing Dominance of Downsized Turbo/Super-Charged Engines Over Naturally Aspirated Engines

Lim

Yang

2019

IEEE Access

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“…Step 4. End more studies about the forecasting models, see Lim, 33 Fontalvo et al, 34 An and Zhai, 35 and Kafi et al 36 The concept of anchor point was used in DEA for the generation of unobserved DMUs in order to extend the DEA efficient frontier and so, this concept plays a critical role in the DEA theory and its applications. Hence, this study focuses on finding the anchor points in the different production possibility sets.…”

Section: Algorithmmentioning

confidence: 99%

A new method based on finding the weak and strong defining supporting hyperplanes to recognize the anchor points

Khazaeyan

Sohraiee

Mostafaee

et al. 2022

Measurement and Control

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One of the main important issues in Data Envelopment Analysis (DEA) is to recognize the set of anchor points which is the subset of the extreme efficient points of the production possibility set (PPS). An anchor point is an extreme efficient point which is located on the intersection of the strong efficient frontier and the weak efficient frontier. In the other word, each anchor point delineate the strong efficient frontier from the weak efficient frontier. So, if a decision making unit (DMU) is an anchor point, then there is at least one supporting hyperplane whose the gradient vector has some of zero components, and so some input\output factor does not play any role in the performance of the unit under evaluation. The concept of anchor point was used in DEA for the generation of unobserved DMUs in order to extend the DEA efficient frontier and so, this concept plays a critical role in the DEA theory and its applications. Given the importance of the anchor pints in the DEA literature, this study focuses on finding the anchor points and presents a new method to search the anchor points of the PPS under the variable returns to scale (VRS) assumption. For this purpose, we use the definition of the anchor points and present an approach to find the anchor points of the PPS. The proposed method is based on finding the weak and strong defining supporting hyperplanes passing through the unit under evaluation. The main advantage of the proposed method is that it exactly uses the definition of the anchor points to provide the approach and it is very simple to use and the anchor points can be easily identified by solving two simple models. In addition, the proposed approach is such that in addition to determining the anchor points, it also finds two important defining supporting hyperplanes on the PPS, which can be used in many problems in DEA. The potentially of the proposed method is illustrated by some numerical examples, reported in the literature to compare the proposed method with the existing methods.

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“…(2020), and Van Puyenbroeck et al. (2021), who use composite indicators, Chen and Wang (2019), who propose a target setting approach within the framework of cross efficiency, Lim (2018), who deal with forecasting targets in presence of infeasibility, Moreno and Lozano (2018), who combine DEA and network DEA, Wu et al. (2020), who combine DEA and game theory, An et al.…”

Section: Literature Reviewmentioning

confidence: 99%

“…A large number of models and approaches have been developed within DEA for purposes of benchmarking and target setting, often in combination with other methodologies. Some recent papers dealing with these issues include Korhonen et al (2018), who use a lexicographic approach to reach the efficient frontier, Lozano and Soltani (2020c), who address target setting with the hyperbolic distance function, Camanho et al (2021), who use a pseudo-Malmquist index, Lozano et al (2020), who use compromise programming, Silva et al (2020), Stumbriene et al (2020), andVan Puyenbroeck et al (2021), who use composite indicators, Chen and Wang (2019), who propose a target setting approach within the framework of cross efficiency, Lim (2018), who deal with forecasting targets in presence of infeasibility, Moreno and Lozano (2018), who combine DEA and network DEA, Wu et al (2020), who combine DEA and game theory, An et al (2020), who use agency theory also in combination with games, and Park and Lee (2018), Lozano and Calzada-Infante (2018), Ramón et al (2018), Nasrabadi et al (2019), Dehnokhalaji and Soltani (2019), An et al (2021) and Lozano and Soltani (2020a), who propose stepwise benchmarking approaches.…”

Section: Literature Reviewmentioning

confidence: 99%

Identifying suitable benchmarks in the way toward achieving targets using data envelopment analysis

Ruiz

Sirvent

2021

Int Trans Operational Res

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It was earlier claimed by the authors that the data envelopment analysis (DEA) models commonly used only implement objectives concerned with target setting, while peer identification, which is a key issue for the benchmarking, is actually a by‐product. For this reason, they developed some bi‐objective DEA benchmarking models that pay special attention to the selection of benchmarks among peers, in addition to setting the closest targets. Following an analogous approach, we here continue that research and propose new models that provide a response to the question of whom to emulate to achieve the targets that have been set for a given organization. Thus, the proposed approach now aims to relate the setting of targets and the identification of peers, specifically identifying peers that may serve as benchmarks for improving performance in the direction established by the targets set. As a result, the models identify the so‐called leading benchmark, which is the one whose performance is most aligned with the targets. Eventually, a series of targets and peers are generated by varying the importance attached to the two objectives considered, which offer decision‐makers alternatives for the selection of a course of action when planning improvements.

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Technology forecasting using DEA in the presence of infeasibility

Cited by 14 publications

References 29 publications

Assessment of Regulatory Requirements on Technological Changes: The Increasing Dominance of Downsized Turbo/Super-Charged Engines Over Naturally Aspirated Engines

Assessment of Regulatory Requirements on Technological Changes: The Increasing Dominance of Downsized Turbo/Super-Charged Engines Over Naturally Aspirated Engines

A new method based on finding the weak and strong defining supporting hyperplanes to recognize the anchor points

Identifying suitable benchmarks in the way toward achieving targets using data envelopment analysis

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