Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Bücher
Zeitschriften
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
SLX-Digitalkonferenz: Zukunftswerkstatt 2024

Mehr Umsatz mit Top-Kontakten

Am 7. Mai erfahren Sie, wie Vertriebsteams Leadgenerierung, Leadnurturing und Leadstrategien effizient steuern können.
Erweiterte Suche
Anmelden
nach oben
Erschienen in:
A Framework for SME Performance Evaluation Kapitel lesen Erstes Kapitel lesen

2019 | OriginalPaper | Buchkapitel

Tools Implementation in Management of Continuous Improvement Processes

verfasst von : Mariana Martins, Maria Leonilde Rocha Varela, Goran Putnik, José Machado, Vijaya Kumar Manupati

Erschienen in: Advances in Manufacturing II

Verlag: Springer International Publishing

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Technological development and pressure to meet customer requirements through high productivity and low costs forces companies to be extremely flexible and efficient. For this purpose, many organizations have been adopting continuous improvement strategy which promotes constant insertion of small incremental improvements and better results in regard of efficiency and quality. The aim of this paper is to show how a company has progressed its continuous improvement of management processes. This was successfully achieved through new tools developed to solve different problems in distinct dimensions regarding continuous improvement. The developed tools were database systems and it was possible to realise their positive impact in continuous improvement of management processes in the focused company were they were implemented, since they established access to consistent data and did enable to reduce redundant information spread across multiple files and software tools, and thus eliminating waste. Moreover, these new tools developed allowed to pass from traditional and manual recorded methods to computerized systems, making information more accessible and always updated. Thus connection between information systems and management of continuous improvement processes is essential for companies’ evolution and success.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Jetzt informieren
Vorheriges Kapitel Parametric Optimization of Fixtures for Multiaxis Machining of Parts
Nächstes Kapitel The Use of Simulation Games in Teaching Lean Manufacturing
Literatur
1.
Clark, D.M., Silvester, K., Knowles, S.: Lean management systems: creating a culture of continuous quality improvement. J. Clin. Pathol. 66(8), 638–643 (2013)CrossRef
2.
Randhawa, J.S., Ahuja, I.S.: 5S – a quality improvement tool for sustainable performance: literature review and directions. Int. J. Qual. Reliab. Manag. 34(3), 334–361 (2017)CrossRef
3.
Lodgaard, E., Gamme, I., Aasland, K.E.: Success factors for PDCA as continuous improvement method in product development. In: IFIP International Conference on Advances in Production Management Systems, pp. 645–652 (2012)
4.
Chan, A.P., Chan, A.P.: Key performance indicators for measuring construction success. Benchmarking: Int. J. 11(2), 203–221 (2014)CrossRef
5.
Parmenter, D.: Key Performance Indicators: Developing, Implementing, and Using Winning KPIs. Wiley, Hoboken (2004)
6.
Marr, B., Schiuma, G., Neely, A.: Intellectual capital–defining key performance indicators for organizational knowledge assets. Bus. Process Manag. J. 10(5), 551–569 (2004)CrossRef
7.
Shahin, A., Mahbod, M.A.: Prioritization of key performance indicators: an integration of analytical hierarchy process and goal setting. Int. J. Prod. Perform. Manag. 56(3), 226–240 (2007)CrossRef
8.
del-Rey-Chamorro, F.M., Roy, R., van Wegen, B., Steele, A.: A framework to create key performance indicators for knowledge management solutions. J. Knowl. Manag. 7(2), 46–62 (2003)CrossRef
9.
Buus, B., Gaz, R., Malaher, T., Muller, M., Schwartz, K.: U.S. Patent No. 7,188,169. U.S. Patent and Trademark Office, Washington, DC (2007)
10.
Amrina, E., Yusof, S.M.: Key performance indicators for sustainable manufacturing evaluation in automotive companies. In: IEEE International Conference on Industrial Engineering and Engineering Management, IEEM, pp. 1093–1097 (2011)
11.
Rodriguez, R.R., Saiz, J.J.A., Bas, A.O.: Quantitative relationships between key performance indicators for supporting decision-making processes. Comput. Ind. 60(2), 104–113 (2009)CrossRef
12.
Bai, C., Sarkis, J.: Determining and applying sustainable supplier key performance indicators. Supply Chain Manag.: Int. J. 19(3), 275–291 (2014)CrossRef
13.
Marr, B.: Key Performance Indicators (KPI): The 75 Measures Every Manager Needs to Know. Pearson UK, London (2012)
14.
Kujawińska, A., Vogt, K.: Human factors in visual quality control. Manag. Prod. Eng. Rev. 6(2), 25–31 (2015)
15.
Varela, M.L.R., Aparício, J.N., Silva, S.C.: A Web-based application for manufacturing scheduling. In: IASTED International Conference on Intelligent Systems and Control, pp. 400–405 (2003)
16.
Vieira, G.G., Varela, M.L.R., Putnik, G.D., Machado, J.M., Trojanowska, J.: Integrated platform for real-time control and production and productivity monitoring and analysis. Rom. Rev. Precis. Mech. Opt. Mechatron. 50, 119–127 (2016)
17.
Han, K.H., Kang, J.G.: A process-based performance measurement framework for continuous process improvement. Int. J. Ind. Eng. 14(3), 220–228 (2007)
18.
Gallaugher, J.: Information Systems: A Manager’s Guide to Harnessing Technology (2016)
19.
Connolly, T.M., Begg, C.E.: Database Systems: A Practical Approach to Design, Implementation, and Management, 4th edn. Pearson Education, London (2005)MATH
20.
Varela, M.L.R., Ribeiro, R.A.: Distributed manufacturing scheduling based on a dynamic multi-criteria decision model. In: Recent Developments and New Directions in Soft Computing, pp. 81–93. Springer (2014)
21.
Arrais-Castro, A., Varela, M.L.R., Putnik, G.D., Ribeiro, R., Dargam, F.C.: Collaborative negotiation platform using a dynamic multi-criteria decision model. Int. J. Decis. Support Syst. Technol. 7(1), 1–14 (2015)CrossRef
22.
Varela, M.L., Trojanowska, J., Carmo-Silva, S., Costa, N.M., Machado, J.: Comparative simulation study of production scheduling in the hybrid and the parallel flow. Manag. Prod. Eng. Rev. 8(2), 69–80 (2017)
23.
Trojanowska, J., Kolinski, A., Galusik, D., Varela, M.L.R., Machado, J.: A methodology of improvement of manufacturing productivity through increasing operational efficiency of the production process. In: Hamrol, A., Ciszak, O., Legutko, S., Jurczyk, M. (eds.) Advances in Manufacturing. Lecture Notes in Mechanical Engineering, pp. 23–32 (2018)
24.
Varela, M.L.R., Putnik, G.D., Manupati, V.K., Rajyalakshmi, G., Trojanowska, J., Machado, J.: Collaborative manufacturing based on cloud, and on other I4.0 oriented principles and technologies: a systematic literature review and reflections. Manag. Prod. Eng. Rev. 9(3), 90–99 (2018)
25.
Trojanowska, J., Dostatni, E.: Application of the theory of constraints for project management. Manag. Prod. Eng. Rev. 8(3), 87–95 (2017)
26.
Rewers, P., Trojanowska, J., Diakun, J., Rocha, A., Reis, L.P.: A study of priority rules for a levelled production plan. In: Hamrol, A., Ciszak, O., Legutko, S., Jurczyk, M. (eds.) Advances in Manufacturing. Lecture Notes in Mechanical Engineering, pp. 111–120. Springer (2018)
27.
Shanmugasundaram, J., Tufte, K., He, G., Zhang, C., DeWitt, D., Naughton, J.: Relational databases for querying XML documents: limitations and opportunities. In: Very Large Data Bases: Proceedings, vol. 25, p. 302 (1999)
28.
Buckles, B.P., Petry, F.E.: A fuzzy representation of data for relational databases. Fuzzy Sets Syst. 7(3), 213–226 (1982)CrossRef
29.
Bizer, C., Cyganiak, R.: D2R server-publishing relational databases on the semantic web. In: Poster at 5th International Semantic Web Conference, vol. 175 (2006)
30.
Stolte, C., Tang, D., Hanrahan, P.: Polaris: a system for query, analysis, and visualization of multidimensional relational databases. IEEE Trans. Visual. Comput. Graphics 8(1), 52–65 (2002)CrossRef
31.
Castro, J., Kolp, M., Mylopoulos, J.: Towards requirements-driven information systems engineering: Tropos project. Inf. Syst. 27(6), 365–389 (2002)CrossRef
32.
Bosc, P., Pivert, O.: Fuzzy Preference Queries to Relational Databases. Imperial College Press, London (2012)MATH
33.
Xie, Y., Wang, C., Cao, Z., Chen, Y.: Research on store XML data in relational database based on XML schema. In: IFIP International Conference on Network and Parallel Computing Workshops, NPC Workshops, pp. 1001–1005 (2007)
34.
Manjula, R., Settipalli, N.: A new relational watermarking scheme resilient to additive attacks. Int. J. Comput. Appl. 10(5), 1–7 (2010)
35.
Tomer, R., Bhatnagr, V., Asadullah, M., Hassan, M.S., Khan, S.: Experimental analysis on changing data from relational to article-oriented databases. Int. J. Recent Adv. Sci. Technol. 1(1), 6–11 (2014)
36.
Tsai, M.H., Tseng, H.Y., Lai, C.Y.: A database watermarking technique for temper detection. In: JCIS (2006)
37.
Zhou, M., Wang, J., Wang, C., Li, D.: A novel fingerprinting architecture for relational data. In: Inaugural IEEE-IES Digital EcoSystems and Technologies Conference, DEST 2007, pp. 477–480. IEEE (2007)
38.
Fu, Y., Jin, C., Ma, C.: A novel relational database watermarking algorithm. In: Pacific-Asia Workshop on Intelligence and Security Informatics, pp. 208–219. Springer, Heidelberg (2007)
39.
Uzun, E., Stephenson, B.: Security of relational databases in business outsourcing. HP Labs Report HPL-2008-168 (2008)
Metadaten
Titel
Tools Implementation in Management of Continuous Improvement Processes
verfasst von
Mariana Martins
Maria Leonilde Rocha Varela
Goran Putnik
José Machado
Vijaya Kumar Manupati
Copyright-Jahr
2019
Buch
Advances in Manufacturing II

Print ISBN: 978-3-030-18788-0

Electronic ISBN: 978-3-030-18789-7

Copyright-Jahr: 2019

DOI
https://doi.org/10.1007/978-3-030-18789-7_29

Premium Partner

    Marktübersichten

    Die im Laufe eines Jahres in der „adhäsion“ veröffentlichten Marktübersichten helfen Anwendern verschiedenster Branchen, sich einen gezielten Überblick über Lieferantenangebote zu verschaffen. 

    Zur Marktübersicht
    Bildnachweise