Performance measurement framework for location decisions on supply chain design

Plant location is one of the most important strategic decisions on supply chain design. Existing literature emphasize on qualitative factors such as transport costs, exchange rates, labor rates etc. While there are existing models that capture qualitative variables, there is limited research linking...

Full description

Saved in:
Bibliographic Details
Main Authors: Zegordi, S.H., Khosrojerdi, A.H., Jamali, S.S.
Format: Conference Proceeding
Language:English
Subjects:
Aggregates
Costs
Delay
Exchange rates
Industrial engineering
Joining processes
location decision
Measurement
performance measurement
qualitative factors
Radar
supply chain Design
Supply chain management
Supply chains
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites
container_end_page 1607
container_issue
container_start_page 1603
container_title
container_volume
creator Zegordi, S.H.
Khosrojerdi, A.H.
Jamali, S.S.
description Plant location is one of the most important strategic decisions on supply chain design. Existing literature emphasize on qualitative factors such as transport costs, exchange rates, labor rates etc. While there are existing models that capture qualitative variables, there is limited research linking these variables with measures of the firm's operational competitiveness and performance measurement framework. In this study, we propose a framework that includes 3 parts: First, model which shows the performance measurement framework. Secondly, indicators for performance measurement and finally a method presented to evaluate through the model by using the suggested indicators. In this study, EFQM model which is a performance measurement framework based on self assessment have been used. For the purpose of meaningful assessment, a relative value ascribed to the criteria within the EFQM. Basic scoring used during the assessment process is RADAR.
doi_str_mv 10.1109/IEEM.2009.5373110
format conference_proceeding
fullrecord <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_5373110</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>5373110</ieee_id><sourcerecordid>5373110</sourcerecordid><originalsourceid>FETCH-LOGICAL-i175t-58ea512364ff6744b38853034acf04d0441fa49b4c876d87fae10d5fbae873cf3</originalsourceid><addsrcrecordid>eNo9kMtOAjEYheuFREAewLjpCwz-vbdLQ1BJMLjQxB0pnb86ysyQdojh7R0icXUuX3IWh5AbBlPGwN0t5vPnKQdwUyWM6KszMnHGMsmllNaAPSdDzpQphObvF2R0AtqZy3_A2ICMjhsOlAVzRSY5fwEA41Zzp4dk9YIptqn2TUBao8_7hDU2HY3J1_jTpm_aY7ptg--qtqElhir3JtM-5P1utz3Q8OmrI8nVR3NNBtFvM05OOiZvD_PX2VOxXD0uZvfLomJGdYWy6BXjQssYtZFyI6xVAoT0IYIsQUoWvXQbGazRpTXRI4NSxY1Ha0SIYkxu_3YrRFzvUlX7dFifjhK_0U1Wqg</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Performance measurement framework for location decisions on supply chain design</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Zegordi, S.H. ; Khosrojerdi, A.H. ; Jamali, S.S.</creator><creatorcontrib>Zegordi, S.H. ; Khosrojerdi, A.H. ; Jamali, S.S.</creatorcontrib><description>Plant location is one of the most important strategic decisions on supply chain design. Existing literature emphasize on qualitative factors such as transport costs, exchange rates, labor rates etc. While there are existing models that capture qualitative variables, there is limited research linking these variables with measures of the firm's operational competitiveness and performance measurement framework. In this study, we propose a framework that includes 3 parts: First, model which shows the performance measurement framework. Secondly, indicators for performance measurement and finally a method presented to evaluate through the model by using the suggested indicators. In this study, EFQM model which is a performance measurement framework based on self assessment have been used. For the purpose of meaningful assessment, a relative value ascribed to the criteria within the EFQM. Basic scoring used during the assessment process is RADAR.</description><identifier>ISSN: 2157-3611</identifier><identifier>ISBN: 1424448697</identifier><identifier>ISBN: 9781424448692</identifier><identifier>EISSN: 2157-362X</identifier><identifier>EISBN: 9781424448708</identifier><identifier>EISBN: 1424448700</identifier><identifier>DOI: 10.1109/IEEM.2009.5373110</identifier><identifier>LCCN: 2009905807</identifier><language>eng</language><publisher>IEEE</publisher><subject>Aggregates ; Costs ; Delay ; Exchange rates ; Industrial engineering ; Joining processes ; location decision ; Measurement ; performance measurement ; qualitative factors ; Radar ; supply chain Design ; Supply chain management ; Supply chains</subject><ispartof>2009 IEEE International Conference on Industrial Engineering and Engineering Management, 2009, p.1603-1607</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/5373110$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,776,780,785,786,2052,27902,54530,54895,54907</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5373110$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Zegordi, S.H.</creatorcontrib><creatorcontrib>Khosrojerdi, A.H.</creatorcontrib><creatorcontrib>Jamali, S.S.</creatorcontrib><title>Performance measurement framework for location decisions on supply chain design</title><title>2009 IEEE International Conference on Industrial Engineering and Engineering Management</title><addtitle>IEEM</addtitle><description>Plant location is one of the most important strategic decisions on supply chain design. Existing literature emphasize on qualitative factors such as transport costs, exchange rates, labor rates etc. While there are existing models that capture qualitative variables, there is limited research linking these variables with measures of the firm's operational competitiveness and performance measurement framework. In this study, we propose a framework that includes 3 parts: First, model which shows the performance measurement framework. Secondly, indicators for performance measurement and finally a method presented to evaluate through the model by using the suggested indicators. In this study, EFQM model which is a performance measurement framework based on self assessment have been used. For the purpose of meaningful assessment, a relative value ascribed to the criteria within the EFQM. Basic scoring used during the assessment process is RADAR.</description><subject>Aggregates</subject><subject>Costs</subject><subject>Delay</subject><subject>Exchange rates</subject><subject>Industrial engineering</subject><subject>Joining processes</subject><subject>location decision</subject><subject>Measurement</subject><subject>performance measurement</subject><subject>qualitative factors</subject><subject>Radar</subject><subject>supply chain Design</subject><subject>Supply chain management</subject><subject>Supply chains</subject><issn>2157-3611</issn><issn>2157-362X</issn><isbn>1424448697</isbn><isbn>9781424448692</isbn><isbn>9781424448708</isbn><isbn>1424448700</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2009</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNo9kMtOAjEYheuFREAewLjpCwz-vbdLQ1BJMLjQxB0pnb86ysyQdojh7R0icXUuX3IWh5AbBlPGwN0t5vPnKQdwUyWM6KszMnHGMsmllNaAPSdDzpQphObvF2R0AtqZy3_A2ICMjhsOlAVzRSY5fwEA41Zzp4dk9YIptqn2TUBao8_7hDU2HY3J1_jTpm_aY7ptg--qtqElhir3JtM-5P1utz3Q8OmrI8nVR3NNBtFvM05OOiZvD_PX2VOxXD0uZvfLomJGdYWy6BXjQssYtZFyI6xVAoT0IYIsQUoWvXQbGazRpTXRI4NSxY1Ha0SIYkxu_3YrRFzvUlX7dFifjhK_0U1Wqg</recordid><startdate>200912</startdate><enddate>200912</enddate><creator>Zegordi, S.H.</creator><creator>Khosrojerdi, A.H.</creator><creator>Jamali, S.S.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200912</creationdate><title>Performance measurement framework for location decisions on supply chain design</title><author>Zegordi, S.H. ; Khosrojerdi, A.H. ; Jamali, S.S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-58ea512364ff6744b38853034acf04d0441fa49b4c876d87fae10d5fbae873cf3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Aggregates</topic><topic>Costs</topic><topic>Delay</topic><topic>Exchange rates</topic><topic>Industrial engineering</topic><topic>Joining processes</topic><topic>location decision</topic><topic>Measurement</topic><topic>performance measurement</topic><topic>qualitative factors</topic><topic>Radar</topic><topic>supply chain Design</topic><topic>Supply chain management</topic><topic>Supply chains</topic><toplevel>online_resources</toplevel><creatorcontrib>Zegordi, S.H.</creatorcontrib><creatorcontrib>Khosrojerdi, A.H.</creatorcontrib><creatorcontrib>Jamali, S.S.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Zegordi, S.H.</au><au>Khosrojerdi, A.H.</au><au>Jamali, S.S.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Performance measurement framework for location decisions on supply chain design</atitle><btitle>2009 IEEE International Conference on Industrial Engineering and Engineering Management</btitle><stitle>IEEM</stitle><date>2009-12</date><risdate>2009</risdate><spage>1603</spage><epage>1607</epage><pages>1603-1607</pages><issn>2157-3611</issn><eissn>2157-362X</eissn><isbn>1424448697</isbn><isbn>9781424448692</isbn><eisbn>9781424448708</eisbn><eisbn>1424448700</eisbn><abstract>Plant location is one of the most important strategic decisions on supply chain design. Existing literature emphasize on qualitative factors such as transport costs, exchange rates, labor rates etc. While there are existing models that capture qualitative variables, there is limited research linking these variables with measures of the firm's operational competitiveness and performance measurement framework. In this study, we propose a framework that includes 3 parts: First, model which shows the performance measurement framework. Secondly, indicators for performance measurement and finally a method presented to evaluate through the model by using the suggested indicators. In this study, EFQM model which is a performance measurement framework based on self assessment have been used. For the purpose of meaningful assessment, a relative value ascribed to the criteria within the EFQM. Basic scoring used during the assessment process is RADAR.</abstract><pub>IEEE</pub><doi>10.1109/IEEM.2009.5373110</doi><tpages>5</tpages></addata></record>
fulltext fulltext_linktorsrc
identifier ISSN: 2157-3611
ispartof 2009 IEEE International Conference on Industrial Engineering and Engineering Management, 2009, p.1603-1607
issn 2157-3611
2157-362X
language eng
recordid cdi_ieee_primary_5373110
source IEEE Electronic Library (IEL) Conference Proceedings
subjects Aggregates
Costs
Delay
Exchange rates
Industrial engineering
Joining processes
location decision
Measurement
performance measurement
qualitative factors
Radar
supply chain Design
Supply chain management
Supply chains
title Performance measurement framework for location decisions on supply chain design
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-31T18%3A19%3A22IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_6IE&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Performance%20measurement%20framework%20for%20location%20decisions%20on%20supply%20chain%20design&rft.btitle=2009%20IEEE%20International%20Conference%20on%20Industrial%20Engineering%20and%20Engineering%20Management&rft.au=Zegordi,%20S.H.&rft.date=2009-12&rft.spage=1603&rft.epage=1607&rft.pages=1603-1607&rft.issn=2157-3611&rft.eissn=2157-362X&rft.isbn=1424448697&rft.isbn_list=9781424448692&rft_id=info:doi/10.1109/IEEM.2009.5373110&rft.eisbn=9781424448708&rft.eisbn_list=1424448700&rft_dat=%3Cieee_6IE%3E5373110%3C/ieee_6IE%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-i175t-58ea512364ff6744b38853034acf04d0441fa49b4c876d87fae10d5fbae873cf3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=5373110&rfr_iscdi=true