Publication

Not lean by default: Exploring practices, their design, and underlying mechanisms driving performance

Ziengs, N., 2018, Groningen: University of Groningen, SOM research school. 234 p.

Research output: ThesisThesis fully internal (DIV)Academic

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Documents

  • Title and contents

    Final publisher's version, 429 KB, PDF-document

  • Chapter 1

    Final publisher's version, 791 KB, PDF-document

  • Chapter 2

    Final publisher's version, 1001 KB, PDF-document

  • Chapter 3

    Final publisher's version, 1 MB, PDF-document

  • Chapter 4

    Final publisher's version, 1 MB, PDF-document

  • Chapter 5

    Final publisher's version, 503 KB, PDF-document

  • References

    Final publisher's version, 719 KB, PDF-document

  • Summary

    Final publisher's version, 327 KB, PDF-document

  • Nederlandse Samenvatting

    Final publisher's version, 213 KB, PDF-document

  • Dankwoord

    Final publisher's version, 245 KB, PDF-document

  • Appendix A+B

    Final publisher's version, 662 KB, PDF-document

  • Complete thesis

    Final publisher's version, 2 MB, PDF-document

  • Propositions

    Final publisher's version, 405 KB, PDF-document

  • Nick Ziengs
Lean manufacturing is widely adopted by manufacturers in an effort to improve quality, reduce throughput times, and reduce cost. Nevertheless, the literature on the performance implications of lean manufacturing is inconclusive. Manufacturers not only often implement different manufacturing practices but do so in completely different ways. Therefore, it is important to study how practices used to implement lean manufacturing jointly affect performance and explore how their design and underlying mechanisms drive performance. This dissertation addresses these two issues, employing different methodologies.
The first study addresses the relation between quality management practices and performance and shows by means of a combination of meta-analytical and structural equation modeling techniques that quality management practices jointly, rather than independently, affect performance. The two other studies address the design of a specific lean manufacturing practice, namely pull production. The second study shows by means of discrete-event simulation how the design of pull production systems enables improved throughput time performance by facilitating workload balancing. The third study shows by means of an experiment how the design of pull production systems influences motivation gains and losses of individuals within production systems. Together, these studies demonstrate the importance of studying lean manufacturing practices, their design, and the underlying mechanisms that drive performance As such, these studies direct manufacturers to take a holistic yet customized approach to lean manufacturing.
Translated title of the contributionLean is niet vanzelfsprekend: Een verkenning van productiepraktijken, het ontwerp en de onderliggende mechanismen die bedrijfsprestaties bepalen
Original languageEnglish
QualificationDoctor of Philosophy
Awarding Institution
Supervisors/Advisors
  • Donk, van, Dirk Pieter, Supervisor
  • Riezebos, Jan, Supervisor
  • Ahaus, C, Assessment committee
  • Fransoo, Jan C., Assessment committee, External person
  • Stevenson, M., Assessment committee, External person
Award date26-Apr-2018
Place of PublicationGroningen
Publisher
Print ISBNs978-94-034-0479-0
Electronic ISBNs978-94-034-0478-3
Publication statusPublished - 2018

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