Combining data envelopment analysis and multi-objective model for the efficient facility location–allocation decision
Abstract This paper proposes an innovative procedure of finding efficient facility location–allocation (FLA) schemes, integrating data envelopment analysis (DEA) and a multi-objective programming (MOP) model methodology. FLA decisions provide a basic foundation for designing efficient supply chain n...
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| Format: | Article |
| Language: | English |
| Published: |
Islamic Azad University
2018-10-01
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| Series: | Journal of Industrial Engineering International |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1007/s40092-018-0294-2 |
| _version_ | 1818615250799296512 |
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| author | Jae-Dong Hong Ki-Young Jeong |
| author_facet | Jae-Dong Hong Ki-Young Jeong |
| author_sort | Jae-Dong Hong |
| collection | DOAJ |
| description | Abstract This paper proposes an innovative procedure of finding efficient facility location–allocation (FLA) schemes, integrating data envelopment analysis (DEA) and a multi-objective programming (MOP) model methodology. FLA decisions provide a basic foundation for designing efficient supply chain network in many practical applications. The procedure proposed in this paper would be applied to the FLA problems where various conflicting performance measures are considered. The procedure requires that conflicting performance measures classified as inputs to be minimized, or outputs to be maximized. Solving an MOP problem generates diverse alternative FLA schemes along with multi-objective values. DEA evaluates these schemes to generate a relative efficiency score for each scheme. Then, using stratification DEA, all of these FLA schemes are stratified into several levels, from the most efficient to the most inefficient levels. A case study is presented to demonstrate the effectiveness and efficiency of the proposed integrating method. We observe that the combined approach in this paper performs well and would provide many insights to academians as well as practitioners and researchers. |
| first_indexed | 2024-12-16T16:30:56Z |
| format | Article |
| id | doaj.art-fa147af65a444f9ebb191d30254dc928 |
| institution | Directory Open Access Journal |
| issn | 1735-5702 2251-712X |
| language | English |
| last_indexed | 2024-12-16T16:30:56Z |
| publishDate | 2018-10-01 |
| publisher | Islamic Azad University |
| record_format | Article |
| series | Journal of Industrial Engineering International |
| spelling | doaj.art-fa147af65a444f9ebb191d30254dc9282022-12-21T22:24:36ZengIslamic Azad UniversityJournal of Industrial Engineering International1735-57022251-712X2018-10-0115231533110.1007/s40092-018-0294-2Combining data envelopment analysis and multi-objective model for the efficient facility location–allocation decisionJae-Dong Hong0Ki-Young Jeong1Industrial Engineering, South Carolina State UniversityEngineering Management, University of Houston at Clear LakeAbstract This paper proposes an innovative procedure of finding efficient facility location–allocation (FLA) schemes, integrating data envelopment analysis (DEA) and a multi-objective programming (MOP) model methodology. FLA decisions provide a basic foundation for designing efficient supply chain network in many practical applications. The procedure proposed in this paper would be applied to the FLA problems where various conflicting performance measures are considered. The procedure requires that conflicting performance measures classified as inputs to be minimized, or outputs to be maximized. Solving an MOP problem generates diverse alternative FLA schemes along with multi-objective values. DEA evaluates these schemes to generate a relative efficiency score for each scheme. Then, using stratification DEA, all of these FLA schemes are stratified into several levels, from the most efficient to the most inefficient levels. A case study is presented to demonstrate the effectiveness and efficiency of the proposed integrating method. We observe that the combined approach in this paper performs well and would provide many insights to academians as well as practitioners and researchers.http://link.springer.com/article/10.1007/s40092-018-0294-2Facility location–allocationData envelopment analysisMulti-objective programmingPerformance measuresRelative efficiency score |
| spellingShingle | Jae-Dong Hong Ki-Young Jeong Combining data envelopment analysis and multi-objective model for the efficient facility location–allocation decision Journal of Industrial Engineering International Facility location–allocation Data envelopment analysis Multi-objective programming Performance measures Relative efficiency score |
| title | Combining data envelopment analysis and multi-objective model for the efficient facility location–allocation decision |
| title_full | Combining data envelopment analysis and multi-objective model for the efficient facility location–allocation decision |
| title_fullStr | Combining data envelopment analysis and multi-objective model for the efficient facility location–allocation decision |
| title_full_unstemmed | Combining data envelopment analysis and multi-objective model for the efficient facility location–allocation decision |
| title_short | Combining data envelopment analysis and multi-objective model for the efficient facility location–allocation decision |
| title_sort | combining data envelopment analysis and multi objective model for the efficient facility location allocation decision |
| topic | Facility location–allocation Data envelopment analysis Multi-objective programming Performance measures Relative efficiency score |
| url | http://link.springer.com/article/10.1007/s40092-018-0294-2 |
| work_keys_str_mv | AT jaedonghong combiningdataenvelopmentanalysisandmultiobjectivemodelfortheefficientfacilitylocationallocationdecision AT kiyoungjeong combiningdataenvelopmentanalysisandmultiobjectivemodelfortheefficientfacilitylocationallocationdecision |