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Article: Efficiency measurement for hierarchical situations

TitleEfficiency measurement for hierarchical situations
Authors
Keywordshierarchy
power plants
efficiency
DEA
sub-units
Issue Date2021
Citation
Journal of the Operational Research Society, 2021, v. 72, n. 3, p. 654-662 How to Cite?
AbstractThe measurement and monitoring of the efficiency of processes in organisations has become an important undertaking in today’s competitive environment. A fundamental tool for this undertaking is data envelopment analysis (DEA). The conventional setting for DEA views the decision-making unit (DMU) (school, hospital etc.) as a black box with inputs entering and outputs leaving. The current paper looks at a problem setting somewhat related to a multistage situation but pertaining to a particular form of hierarchical structure. Specifically, we examine a set of electric power units that act as sub-units or sub-DMUs, operating under the framework of set of power plants that play the role of DMUs. We develop a DEA-like methodology that evaluates, in a two-stage manner, both the efficiencies of the sub-units and of the aggregates of those sub-units (the plants). In so doing, the approach attempts to have the projected values of plant-level inputs and outputs match up with the corresponding aggregate values of the sub-unit projections, as is the case prior to projection to the frontier. Since such projections may in fact not match up as described, we introduce a goal-DEA methodology to minimise the extent of any failure to achieve this match up.
Persistent Identifierhttp://hdl.handle.net/10722/302262
ISSN
2023 Impact Factor: 2.7
2023 SCImago Journal Rankings: 1.045
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorLi, Wanghong-
dc.contributor.authorCook, Wade D.-
dc.contributor.authorLi, Zhepeng-
dc.contributor.authorZhu, Joe-
dc.date.accessioned2021-08-30T13:58:07Z-
dc.date.available2021-08-30T13:58:07Z-
dc.date.issued2021-
dc.identifier.citationJournal of the Operational Research Society, 2021, v. 72, n. 3, p. 654-662-
dc.identifier.issn0160-5682-
dc.identifier.urihttp://hdl.handle.net/10722/302262-
dc.description.abstractThe measurement and monitoring of the efficiency of processes in organisations has become an important undertaking in today’s competitive environment. A fundamental tool for this undertaking is data envelopment analysis (DEA). The conventional setting for DEA views the decision-making unit (DMU) (school, hospital etc.) as a black box with inputs entering and outputs leaving. The current paper looks at a problem setting somewhat related to a multistage situation but pertaining to a particular form of hierarchical structure. Specifically, we examine a set of electric power units that act as sub-units or sub-DMUs, operating under the framework of set of power plants that play the role of DMUs. We develop a DEA-like methodology that evaluates, in a two-stage manner, both the efficiencies of the sub-units and of the aggregates of those sub-units (the plants). In so doing, the approach attempts to have the projected values of plant-level inputs and outputs match up with the corresponding aggregate values of the sub-unit projections, as is the case prior to projection to the frontier. Since such projections may in fact not match up as described, we introduce a goal-DEA methodology to minimise the extent of any failure to achieve this match up.-
dc.languageeng-
dc.relation.ispartofJournal of the Operational Research Society-
dc.subjecthierarchy-
dc.subjectpower plants-
dc.subjectefficiency-
dc.subjectDEA-
dc.subjectsub-units-
dc.titleEfficiency measurement for hierarchical situations-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1080/01605682.2019.1678409-
dc.identifier.scopuseid_2-s2.0-85083556368-
dc.identifier.volume72-
dc.identifier.issue3-
dc.identifier.spage654-
dc.identifier.epage662-
dc.identifier.eissn1476-9360-
dc.identifier.isiWOS:000526339500001-

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