A SCOR based approach for measuring a benchmarkable supply chain performance
Performance measurement can only help to identify the problems existing in the current supply chain, while it is helpless in exploring the root causes of these problems and thus choosing corresponding actions to improve supply chain performance. The conflict between the top-down strategy decompositi...
Gespeichert in:
| Veröffentlicht in: | Journal of intelligent manufacturing 2013-02, Vol.24 (1), p.113-132 |
|---|---|
| Hauptverfasser: | , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 132 |
|---|---|
| container_issue | 1 |
| container_start_page | 113 |
| container_title | Journal of intelligent manufacturing |
| container_volume | 24 |
| creator | Kocaolu, Batuhan Gülsün, Bahadir Tanyas, Mehmet |
| description | Performance measurement can only help to identify the problems existing in the current supply chain, while it is helpless in exploring the root causes of these problems and thus choosing corresponding actions to improve supply chain performance. The conflict between the top-down strategy decomposition and the bottom-up implementation process is serious. Therefore, in order to overcome the above issues, it is very necessary to link strategic objectives to operations, which could help managers, especially those operating at a strategic level, to know more operational mechanism of supply chains. In this study, an integrated approach which employs analytic hierarchy process (AHP) and technique for order preference by similarity to ideal solution (TOPSIS) together is proposed for the linking strategic objectives to operations. Supply chain operations reference model is used to model the linkage of the strategic objectives and operational metrics in a hierarchical way. The AHP is used to analyze this metric hierarchy and determine weights of the metrics, and TOPSIS method is used to make a normalization of metric values having different units, so a comparison will be available. Proposed approach is applied to a problem of decision making process in a manufacturing company. Company managers found the application and results satisfactory and implementable in their decisions. |
| doi_str_mv | 10.1007/s10845-011-0547-z |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1671545478</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2867751481</sourcerecordid><originalsourceid>FETCH-LOGICAL-c349t-6f38d3610a0c08fb904556e7374f99e4059a9c8f59627057060f6a040a324f393</originalsourceid><addsrcrecordid>eNp1kEtLAzEUhYMoWKs_wF3AjZvozeQ1WZbiCwqCj3XIpImdOi-TzqL99abUhQiu7uY7h3M_hC4p3FAAdZsolFwQoJSA4IrsjtCEClWQknJxjCaghSRCUHGKzlJaA4AuJZ2gxQy_zp9fcGWTX2I7DLG3boVDH3HrbRpj3X1giyvfuVVr46etGo_TOAzNFruVrTs8-Jjp1nbOn6OTYJvkL37uFL3f373NH8ni-eFpPlsQx7jeEBlYuWSSggUHZag0cCGkV0zxoLXnILTVrgxCy0KBUCAhSAscLCt4YJpN0fWhN6_9Gn3amLZOzjeN7Xw_JkOlooJnDWVGr_6g636MXV5naC5nrCgLlil6oFzsU4o-mCHW-d2toWD2fs3Br8l-zd6v2eVMccikYS_Jx1_N_4a-AaCGe2o</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1270332823</pqid></control><display><type>article</type><title>A SCOR based approach for measuring a benchmarkable supply chain performance</title><source>SpringerLink Journals - AutoHoldings</source><creator>Kocaolu, Batuhan ; Gülsün, Bahadir ; Tanyas, Mehmet</creator><creatorcontrib>Kocaolu, Batuhan ; Gülsün, Bahadir ; Tanyas, Mehmet</creatorcontrib><description>Performance measurement can only help to identify the problems existing in the current supply chain, while it is helpless in exploring the root causes of these problems and thus choosing corresponding actions to improve supply chain performance. The conflict between the top-down strategy decomposition and the bottom-up implementation process is serious. Therefore, in order to overcome the above issues, it is very necessary to link strategic objectives to operations, which could help managers, especially those operating at a strategic level, to know more operational mechanism of supply chains. In this study, an integrated approach which employs analytic hierarchy process (AHP) and technique for order preference by similarity to ideal solution (TOPSIS) together is proposed for the linking strategic objectives to operations. Supply chain operations reference model is used to model the linkage of the strategic objectives and operational metrics in a hierarchical way. The AHP is used to analyze this metric hierarchy and determine weights of the metrics, and TOPSIS method is used to make a normalization of metric values having different units, so a comparison will be available. Proposed approach is applied to a problem of decision making process in a manufacturing company. Company managers found the application and results satisfactory and implementable in their decisions.</description><identifier>ISSN: 0956-5515</identifier><identifier>EISSN: 1572-8145</identifier><identifier>DOI: 10.1007/s10845-011-0547-z</identifier><language>eng</language><publisher>Boston: Springer US</publisher><subject>Analysis ; Benchmarking ; Benchmarks ; Business and Management ; Business metrics ; Control ; Decision making ; Decomposition ; Hierarchies ; Integrated approach ; Intelligent systems ; Joining ; Linkages ; Literature reviews ; Logistics ; Machines ; Manufacturing ; Mechatronics ; Objectives ; Performance management ; Performance measurement ; Processes ; Production ; Raw materials ; Robotics ; Similarity ; Strategy ; Studies ; Suppliers ; Supply chain management ; Supply chains</subject><ispartof>Journal of intelligent manufacturing, 2013-02, Vol.24 (1), p.113-132</ispartof><rights>Springer Science+Business Media, LLC 2011</rights><rights>Springer Science+Business Media New York 2013</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c349t-6f38d3610a0c08fb904556e7374f99e4059a9c8f59627057060f6a040a324f393</citedby><cites>FETCH-LOGICAL-c349t-6f38d3610a0c08fb904556e7374f99e4059a9c8f59627057060f6a040a324f393</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10845-011-0547-z$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10845-011-0547-z$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,778,782,27907,27908,41471,42540,51302</link.rule.ids></links><search><creatorcontrib>Kocaolu, Batuhan</creatorcontrib><creatorcontrib>Gülsün, Bahadir</creatorcontrib><creatorcontrib>Tanyas, Mehmet</creatorcontrib><title>A SCOR based approach for measuring a benchmarkable supply chain performance</title><title>Journal of intelligent manufacturing</title><addtitle>J Intell Manuf</addtitle><description>Performance measurement can only help to identify the problems existing in the current supply chain, while it is helpless in exploring the root causes of these problems and thus choosing corresponding actions to improve supply chain performance. The conflict between the top-down strategy decomposition and the bottom-up implementation process is serious. Therefore, in order to overcome the above issues, it is very necessary to link strategic objectives to operations, which could help managers, especially those operating at a strategic level, to know more operational mechanism of supply chains. In this study, an integrated approach which employs analytic hierarchy process (AHP) and technique for order preference by similarity to ideal solution (TOPSIS) together is proposed for the linking strategic objectives to operations. Supply chain operations reference model is used to model the linkage of the strategic objectives and operational metrics in a hierarchical way. The AHP is used to analyze this metric hierarchy and determine weights of the metrics, and TOPSIS method is used to make a normalization of metric values having different units, so a comparison will be available. Proposed approach is applied to a problem of decision making process in a manufacturing company. Company managers found the application and results satisfactory and implementable in their decisions.</description><subject>Analysis</subject><subject>Benchmarking</subject><subject>Benchmarks</subject><subject>Business and Management</subject><subject>Business metrics</subject><subject>Control</subject><subject>Decision making</subject><subject>Decomposition</subject><subject>Hierarchies</subject><subject>Integrated approach</subject><subject>Intelligent systems</subject><subject>Joining</subject><subject>Linkages</subject><subject>Literature reviews</subject><subject>Logistics</subject><subject>Machines</subject><subject>Manufacturing</subject><subject>Mechatronics</subject><subject>Objectives</subject><subject>Performance management</subject><subject>Performance measurement</subject><subject>Processes</subject><subject>Production</subject><subject>Raw materials</subject><subject>Robotics</subject><subject>Similarity</subject><subject>Strategy</subject><subject>Studies</subject><subject>Suppliers</subject><subject>Supply chain management</subject><subject>Supply chains</subject><issn>0956-5515</issn><issn>1572-8145</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp1kEtLAzEUhYMoWKs_wF3AjZvozeQ1WZbiCwqCj3XIpImdOi-TzqL99abUhQiu7uY7h3M_hC4p3FAAdZsolFwQoJSA4IrsjtCEClWQknJxjCaghSRCUHGKzlJaA4AuJZ2gxQy_zp9fcGWTX2I7DLG3boVDH3HrbRpj3X1giyvfuVVr46etGo_TOAzNFruVrTs8-Jjp1nbOn6OTYJvkL37uFL3f373NH8ni-eFpPlsQx7jeEBlYuWSSggUHZag0cCGkV0zxoLXnILTVrgxCy0KBUCAhSAscLCt4YJpN0fWhN6_9Gn3amLZOzjeN7Xw_JkOlooJnDWVGr_6g636MXV5naC5nrCgLlil6oFzsU4o-mCHW-d2toWD2fs3Br8l-zd6v2eVMccikYS_Jx1_N_4a-AaCGe2o</recordid><startdate>20130201</startdate><enddate>20130201</enddate><creator>Kocaolu, Batuhan</creator><creator>Gülsün, Bahadir</creator><creator>Tanyas, Mehmet</creator><general>Springer US</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7SC</scope><scope>7TB</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>87Z</scope><scope>88E</scope><scope>8AL</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FJ</scope><scope>8FK</scope><scope>8FL</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FRNLG</scope><scope>F~G</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K60</scope><scope>K6~</scope><scope>K7-</scope><scope>K9.</scope><scope>L.-</scope><scope>L6V</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>M0C</scope><scope>M0N</scope><scope>M0S</scope><scope>M7S</scope><scope>P5Z</scope><scope>P62</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>Q9U</scope><scope>7TA</scope><scope>JG9</scope></search><sort><creationdate>20130201</creationdate><title>A SCOR based approach for measuring a benchmarkable supply chain performance</title><author>Kocaolu, Batuhan ; Gülsün, Bahadir ; Tanyas, Mehmet</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c349t-6f38d3610a0c08fb904556e7374f99e4059a9c8f59627057060f6a040a324f393</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Analysis</topic><topic>Benchmarking</topic><topic>Benchmarks</topic><topic>Business and Management</topic><topic>Business metrics</topic><topic>Control</topic><topic>Decision making</topic><topic>Decomposition</topic><topic>Hierarchies</topic><topic>Integrated approach</topic><topic>Intelligent systems</topic><topic>Joining</topic><topic>Linkages</topic><topic>Literature reviews</topic><topic>Logistics</topic><topic>Machines</topic><topic>Manufacturing</topic><topic>Mechatronics</topic><topic>Objectives</topic><topic>Performance management</topic><topic>Performance measurement</topic><topic>Processes</topic><topic>Production</topic><topic>Raw materials</topic><topic>Robotics</topic><topic>Similarity</topic><topic>Strategy</topic><topic>Studies</topic><topic>Suppliers</topic><topic>Supply chain management</topic><topic>Supply chains</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kocaolu, Batuhan</creatorcontrib><creatorcontrib>Gülsün, Bahadir</creatorcontrib><creatorcontrib>Tanyas, Mehmet</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Computer and Information Systems Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Global (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Computing Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Business Premium Collection (Alumni)</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>Computer Science Database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ProQuest Engineering Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>ABI/INFORM Global</collection><collection>Computing Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Engineering Database</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>ProQuest One Business</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><collection>ProQuest Central Basic</collection><collection>Materials Business File</collection><collection>Materials Research Database</collection><jtitle>Journal of intelligent manufacturing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kocaolu, Batuhan</au><au>Gülsün, Bahadir</au><au>Tanyas, Mehmet</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A SCOR based approach for measuring a benchmarkable supply chain performance</atitle><jtitle>Journal of intelligent manufacturing</jtitle><stitle>J Intell Manuf</stitle><date>2013-02-01</date><risdate>2013</risdate><volume>24</volume><issue>1</issue><spage>113</spage><epage>132</epage><pages>113-132</pages><issn>0956-5515</issn><eissn>1572-8145</eissn><abstract>Performance measurement can only help to identify the problems existing in the current supply chain, while it is helpless in exploring the root causes of these problems and thus choosing corresponding actions to improve supply chain performance. The conflict between the top-down strategy decomposition and the bottom-up implementation process is serious. Therefore, in order to overcome the above issues, it is very necessary to link strategic objectives to operations, which could help managers, especially those operating at a strategic level, to know more operational mechanism of supply chains. In this study, an integrated approach which employs analytic hierarchy process (AHP) and technique for order preference by similarity to ideal solution (TOPSIS) together is proposed for the linking strategic objectives to operations. Supply chain operations reference model is used to model the linkage of the strategic objectives and operational metrics in a hierarchical way. The AHP is used to analyze this metric hierarchy and determine weights of the metrics, and TOPSIS method is used to make a normalization of metric values having different units, so a comparison will be available. Proposed approach is applied to a problem of decision making process in a manufacturing company. Company managers found the application and results satisfactory and implementable in their decisions.</abstract><cop>Boston</cop><pub>Springer US</pub><doi>10.1007/s10845-011-0547-z</doi><tpages>20</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0956-5515 |
| ispartof | Journal of intelligent manufacturing, 2013-02, Vol.24 (1), p.113-132 |
| issn | 0956-5515 1572-8145 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_1671545478 |
| source | SpringerLink Journals - AutoHoldings |
| subjects | Analysis Benchmarking Benchmarks Business and Management Business metrics Control Decision making Decomposition Hierarchies Integrated approach Intelligent systems Joining Linkages Literature reviews Logistics Machines Manufacturing Mechatronics Objectives Performance management Performance measurement Processes Production Raw materials Robotics Similarity Strategy Studies Suppliers Supply chain management Supply chains |
| title | A SCOR based approach for measuring a benchmarkable supply chain performance |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-16T18%3A48%3A55IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20SCOR%20based%20approach%20for%20measuring%20a%20benchmarkable%20supply%20chain%20performance&rft.jtitle=Journal%20of%20intelligent%20manufacturing&rft.au=Kocaolu,%20Batuhan&rft.date=2013-02-01&rft.volume=24&rft.issue=1&rft.spage=113&rft.epage=132&rft.pages=113-132&rft.issn=0956-5515&rft.eissn=1572-8145&rft_id=info:doi/10.1007/s10845-011-0547-z&rft_dat=%3Cproquest_cross%3E2867751481%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1270332823&rft_id=info:pmid/&rfr_iscdi=true |