Development of additional indicators for quotation preparation performance management: VSM-based approach

PurposeThe calculation of quotations has been proven to be an extremely challenging matter in customized manufacturing requirements. There are significant wastages, which are attributed to activities related to the quotation preparation process (QPP) and their influence on an offer of delivery time...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Journal of manufacturing technology management 2018-01, Vol.29 (5), p.866-885
Hauptverfasser: Stadnicka, Dorota, Ratnayake, R.M. Chandima
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 885
container_issue 5
container_start_page 866
container_title Journal of manufacturing technology management
container_volume 29
creator Stadnicka, Dorota
Ratnayake, R.M. Chandima
description PurposeThe calculation of quotations has been proven to be an extremely challenging matter in customized manufacturing requirements. There are significant wastages, which are attributed to activities related to the quotation preparation process (QPP) and their influence on an offer of delivery time to a customer. Hence, the purpose of this paper is to develop a tailor-made value stream mapping (VSM) approach, combined with a set of performance indicators for QPP performance measurement and management, to decrease the lead time of QPP.Design/methodology/approachCurrent and future state value stream maps have been developed to measure the performance of QPP. To minimize the weaknesses of the cycle efficiency indicator, additional indicators, assessing improvements to value- and non-value-added activities, external interested parties’ influence on lead time, etc., have been developed for QPP performance management. To illustrate the usefulness of the proposed indicators, a case study has been performed.FindingsOnly when all appropriate indicators are calculated than we have the whole overview of the current and future state in a QPP.Research limitations/implicationsThe proposed indicators were used only in one case study. If they are used in different case studies from different companies and operating in different industries, it will be possible to discover whether the presented indicators are enough to fully understand the analyzed process.Practical implicationsThe proposed methodology is ready to be used in industry practice.Originality/valueThe presented VSM methodology, combined with a set of performance indicators for QPP, provides the originality of the work.
doi_str_mv 10.1108/JMTM-01-2017-0016
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2042766116</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2042766116</sourcerecordid><originalsourceid>FETCH-LOGICAL-c273t-6a0fd30f3ae23bbc705a7e66c321886ec10ef723ba64a4257edc84c21835b0be3</originalsourceid><addsrcrecordid>eNotkMtqwzAQRUVpoWnaD-jO0LXaGcmW1GVJ3yR0k0B3QpbHxSGxHMku9O9rk2xmBs7lMhzGbhHuEcE8fK7WKw7IBaDmAKjO2Ax1YbjWRp1Pd44cpPm-ZFcpbQHEo0ExY5tn-qVd6PbU9lmoM1dVTd-E1u2ypq0a7_oQU1aHmB2G0LsJZV2kzsXTTXGEe9d6ysbpfmhqumYXtdslujntOdu8vqwX73z59faxeFpyL7TsuXJQVxJq6UjIsvQaCqdJKS8FGqPII1CtR-RU7nJRaKq8yf0IZVFCSXLO7o69XQyHgVJvt2GI4_PJCsiFVgpRjSk8pnwMKUWqbRebvYt_FsFO9uxkzwLayZ6d7Ml_Hshkeg</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2042766116</pqid></control><display><type>article</type><title>Development of additional indicators for quotation preparation performance management: VSM-based approach</title><source>Emerald Complete Journals</source><source>Standard: Emerald eJournal Premier Collection</source><creator>Stadnicka, Dorota ; Ratnayake, R.M. Chandima</creator><creatorcontrib>Stadnicka, Dorota ; Ratnayake, R.M. Chandima</creatorcontrib><description>PurposeThe calculation of quotations has been proven to be an extremely challenging matter in customized manufacturing requirements. There are significant wastages, which are attributed to activities related to the quotation preparation process (QPP) and their influence on an offer of delivery time to a customer. Hence, the purpose of this paper is to develop a tailor-made value stream mapping (VSM) approach, combined with a set of performance indicators for QPP performance measurement and management, to decrease the lead time of QPP.Design/methodology/approachCurrent and future state value stream maps have been developed to measure the performance of QPP. To minimize the weaknesses of the cycle efficiency indicator, additional indicators, assessing improvements to value- and non-value-added activities, external interested parties’ influence on lead time, etc., have been developed for QPP performance management. To illustrate the usefulness of the proposed indicators, a case study has been performed.FindingsOnly when all appropriate indicators are calculated than we have the whole overview of the current and future state in a QPP.Research limitations/implicationsThe proposed indicators were used only in one case study. If they are used in different case studies from different companies and operating in different industries, it will be possible to discover whether the presented indicators are enough to fully understand the analyzed process.Practical implicationsThe proposed methodology is ready to be used in industry practice.Originality/valueThe presented VSM methodology, combined with a set of performance indicators for QPP, provides the originality of the work.</description><identifier>ISSN: 1741-038X</identifier><identifier>EISSN: 1758-7786</identifier><identifier>DOI: 10.1108/JMTM-01-2017-0016</identifier><language>eng</language><publisher>Bradford: Emerald Group Publishing Limited</publisher><subject>Advanced manufacturing technologies ; Aircraft ; Case studies ; Collaboration ; Costs ; Economic indicators ; Economic statistics ; Efficiency ; Indicators ; Lead time ; Management ; Manufacturing ; Mathematical analysis ; Methodology ; Performance evaluation ; Performance management ; Performance measurement ; Process engineering ; Process planning ; Product development ; Sales</subject><ispartof>Journal of manufacturing technology management, 2018-01, Vol.29 (5), p.866-885</ispartof><rights>Emerald Publishing Limited 2018</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c273t-6a0fd30f3ae23bbc705a7e66c321886ec10ef723ba64a4257edc84c21835b0be3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>315,781,785,968,21700,27929,27930</link.rule.ids></links><search><creatorcontrib>Stadnicka, Dorota</creatorcontrib><creatorcontrib>Ratnayake, R.M. Chandima</creatorcontrib><title>Development of additional indicators for quotation preparation performance management: VSM-based approach</title><title>Journal of manufacturing technology management</title><description>PurposeThe calculation of quotations has been proven to be an extremely challenging matter in customized manufacturing requirements. There are significant wastages, which are attributed to activities related to the quotation preparation process (QPP) and their influence on an offer of delivery time to a customer. Hence, the purpose of this paper is to develop a tailor-made value stream mapping (VSM) approach, combined with a set of performance indicators for QPP performance measurement and management, to decrease the lead time of QPP.Design/methodology/approachCurrent and future state value stream maps have been developed to measure the performance of QPP. To minimize the weaknesses of the cycle efficiency indicator, additional indicators, assessing improvements to value- and non-value-added activities, external interested parties’ influence on lead time, etc., have been developed for QPP performance management. To illustrate the usefulness of the proposed indicators, a case study has been performed.FindingsOnly when all appropriate indicators are calculated than we have the whole overview of the current and future state in a QPP.Research limitations/implicationsThe proposed indicators were used only in one case study. If they are used in different case studies from different companies and operating in different industries, it will be possible to discover whether the presented indicators are enough to fully understand the analyzed process.Practical implicationsThe proposed methodology is ready to be used in industry practice.Originality/valueThe presented VSM methodology, combined with a set of performance indicators for QPP, provides the originality of the work.</description><subject>Advanced manufacturing technologies</subject><subject>Aircraft</subject><subject>Case studies</subject><subject>Collaboration</subject><subject>Costs</subject><subject>Economic indicators</subject><subject>Economic statistics</subject><subject>Efficiency</subject><subject>Indicators</subject><subject>Lead time</subject><subject>Management</subject><subject>Manufacturing</subject><subject>Mathematical analysis</subject><subject>Methodology</subject><subject>Performance evaluation</subject><subject>Performance management</subject><subject>Performance measurement</subject><subject>Process engineering</subject><subject>Process planning</subject><subject>Product development</subject><subject>Sales</subject><issn>1741-038X</issn><issn>1758-7786</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNotkMtqwzAQRUVpoWnaD-jO0LXaGcmW1GVJ3yR0k0B3QpbHxSGxHMku9O9rk2xmBs7lMhzGbhHuEcE8fK7WKw7IBaDmAKjO2Ax1YbjWRp1Pd44cpPm-ZFcpbQHEo0ExY5tn-qVd6PbU9lmoM1dVTd-E1u2ypq0a7_oQU1aHmB2G0LsJZV2kzsXTTXGEe9d6ysbpfmhqumYXtdslujntOdu8vqwX73z59faxeFpyL7TsuXJQVxJq6UjIsvQaCqdJKS8FGqPII1CtR-RU7nJRaKq8yf0IZVFCSXLO7o69XQyHgVJvt2GI4_PJCsiFVgpRjSk8pnwMKUWqbRebvYt_FsFO9uxkzwLayZ6d7Ml_Hshkeg</recordid><startdate>20180101</startdate><enddate>20180101</enddate><creator>Stadnicka, Dorota</creator><creator>Ratnayake, R.M. Chandima</creator><general>Emerald Group Publishing Limited</general><scope>AAYXX</scope><scope>CITATION</scope><scope>0U~</scope><scope>1-H</scope><scope>7TA</scope><scope>7TB</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</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>F~G</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JG9</scope><scope>JQ2</scope><scope>K6~</scope><scope>K7-</scope><scope>L.-</scope><scope>L.0</scope><scope>M0C</scope><scope>M0N</scope><scope>P5Z</scope><scope>P62</scope><scope>PQBIZ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope></search><sort><creationdate>20180101</creationdate><title>Development of additional indicators for quotation preparation performance management</title><author>Stadnicka, Dorota ; Ratnayake, R.M. Chandima</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c273t-6a0fd30f3ae23bbc705a7e66c321886ec10ef723ba64a4257edc84c21835b0be3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Advanced manufacturing technologies</topic><topic>Aircraft</topic><topic>Case studies</topic><topic>Collaboration</topic><topic>Costs</topic><topic>Economic indicators</topic><topic>Economic statistics</topic><topic>Efficiency</topic><topic>Indicators</topic><topic>Lead time</topic><topic>Management</topic><topic>Manufacturing</topic><topic>Mathematical analysis</topic><topic>Methodology</topic><topic>Performance evaluation</topic><topic>Performance management</topic><topic>Performance measurement</topic><topic>Process engineering</topic><topic>Process planning</topic><topic>Product development</topic><topic>Sales</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Stadnicka, Dorota</creatorcontrib><creatorcontrib>Ratnayake, R.M. Chandima</creatorcontrib><collection>CrossRef</collection><collection>Global News &amp; ABI/Inform Professional</collection><collection>Trade PRO</collection><collection>Materials Business File</collection><collection>Mechanical &amp; Transportation Engineering Abstracts</collection><collection>Access via ABI/INFORM (ProQuest)</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies &amp; 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>ABI/INFORM Global (Corporate)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>ProQuest Business Collection</collection><collection>Computer Science Database</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ABI/INFORM Professional Standard</collection><collection>ABI/INFORM Global</collection><collection>Computing Database</collection><collection>Advanced Technologies &amp; Aerospace Database</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>ProQuest One Business</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><jtitle>Journal of manufacturing technology management</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Stadnicka, Dorota</au><au>Ratnayake, R.M. Chandima</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Development of additional indicators for quotation preparation performance management: VSM-based approach</atitle><jtitle>Journal of manufacturing technology management</jtitle><date>2018-01-01</date><risdate>2018</risdate><volume>29</volume><issue>5</issue><spage>866</spage><epage>885</epage><pages>866-885</pages><issn>1741-038X</issn><eissn>1758-7786</eissn><abstract>PurposeThe calculation of quotations has been proven to be an extremely challenging matter in customized manufacturing requirements. There are significant wastages, which are attributed to activities related to the quotation preparation process (QPP) and their influence on an offer of delivery time to a customer. Hence, the purpose of this paper is to develop a tailor-made value stream mapping (VSM) approach, combined with a set of performance indicators for QPP performance measurement and management, to decrease the lead time of QPP.Design/methodology/approachCurrent and future state value stream maps have been developed to measure the performance of QPP. To minimize the weaknesses of the cycle efficiency indicator, additional indicators, assessing improvements to value- and non-value-added activities, external interested parties’ influence on lead time, etc., have been developed for QPP performance management. To illustrate the usefulness of the proposed indicators, a case study has been performed.FindingsOnly when all appropriate indicators are calculated than we have the whole overview of the current and future state in a QPP.Research limitations/implicationsThe proposed indicators were used only in one case study. If they are used in different case studies from different companies and operating in different industries, it will be possible to discover whether the presented indicators are enough to fully understand the analyzed process.Practical implicationsThe proposed methodology is ready to be used in industry practice.Originality/valueThe presented VSM methodology, combined with a set of performance indicators for QPP, provides the originality of the work.</abstract><cop>Bradford</cop><pub>Emerald Group Publishing Limited</pub><doi>10.1108/JMTM-01-2017-0016</doi><tpages>20</tpages></addata></record>
fulltext fulltext
identifier ISSN: 1741-038X
ispartof Journal of manufacturing technology management, 2018-01, Vol.29 (5), p.866-885
issn 1741-038X
1758-7786
language eng
recordid cdi_proquest_journals_2042766116
source Emerald Complete Journals; Standard: Emerald eJournal Premier Collection
subjects Advanced manufacturing technologies
Aircraft
Case studies
Collaboration
Costs
Economic indicators
Economic statistics
Efficiency
Indicators
Lead time
Management
Manufacturing
Mathematical analysis
Methodology
Performance evaluation
Performance management
Performance measurement
Process engineering
Process planning
Product development
Sales
title Development of additional indicators for quotation preparation performance management: VSM-based approach
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-11T22%3A48%3A41IST&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=Development%20of%20additional%20indicators%20for%20quotation%20preparation%20performance%20management:%20VSM-based%20approach&rft.jtitle=Journal%20of%20manufacturing%20technology%20management&rft.au=Stadnicka,%20Dorota&rft.date=2018-01-01&rft.volume=29&rft.issue=5&rft.spage=866&rft.epage=885&rft.pages=866-885&rft.issn=1741-038X&rft.eissn=1758-7786&rft_id=info:doi/10.1108/JMTM-01-2017-0016&rft_dat=%3Cproquest_cross%3E2042766116%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=2042766116&rft_id=info:pmid/&rfr_iscdi=true