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

Nick Ziengs

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

Vertaalde titel van de bijdrage: Lean is niet vanzelfsprekend: Een verkenning van productiepraktijken, het ontwerp en de onderliggende mechanismen die bedrijfsprestaties bepalen

Nick Ziengs

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Nick Ziengs
Lean is niet vanzelfsprekend: een verkenning van productiepraktijken, het ontwerp en de onderliggende mechanismen die bedrijfsprestaties bepalen

Lean wordt door veel productiebedrijven gebruikt om de kwaliteit te verbeteren doorlooptijden te verkorten en kosten te verlagen. In de literatuur worden er veel tegenstrijdige implicaties van het implementeren van lean productiepraktijken beschreven. Productiebedrijven implementeren verschillende productiepraktijken en ook nog vaak op verschillende manieren. Het is van belang om te bestuderen hoe deze productiepraktijken gezamenlijk de bedrijfsprestaties beïnvloeden en om de onderliggende mechanismen verantwoordelijk voor deze prestaties bloot te leggen. De studies, gedocumenteerd in dit proefschrift, behandelen deze twee kwesties.

De eerste studie adresseert de relatie tussen kwaliteitsmanagementpraktijken en bedrijfsprestaties en toont, met behulp van meta-analyse en structurele vergelijkingsmodellen, dat verschillende kwaliteitsmanagementpraktijken gezamenlijk in plaats van onafhankelijk, van invloed zijn op de bedrijfsprestaties. De overige twee studies hebben betrekking op het ontwerp van een specifieke lean productiepraktijk, namelijk pull-productie. Het tweede onderzoek toont, met behulp van een simulatiestudie, hoe het ontwerp van pull-productiesystemen een verbeterde doorlooptijdprestatie mogelijk maakt door de verdeling van de werklast op de werkvloer te bevorderen. Het derde onderzoek toont, met behulp van een experiment, hoe het ontwerp van pull-productiesystemen van invloed is op de motivatie van individuen werkzaam binnen het productiesysteem. Samen tonen deze studies aan hoe belangrijk het is om lean productiepraktijken, hun ontwerp en de onderliggende mechanismen te bestuderen. Deze studies geven het belang aan van een holistische kijk waar het aanpassen van lean productiepraktijken centraal staat.

Vertaalde titel van de bijdrage	Lean is niet vanzelfsprekend: Een verkenning van productiepraktijken, het ontwerp en de onderliggende mechanismen die bedrijfsprestaties bepalen
Originele taal-2	English
Kwalificatie	Doctor of Philosophy
Toekennende instantie	Rijksuniversiteit Groningen
Begeleider(s)/adviseur	van Donk, Dirk Pieter, Supervisor Riezebos, Jan, Supervisor
Datum van toekenning	26-apr.-2018
Plaats van publicatie	Groningen
Uitgever	University of Groningen, SOM research school
Gedrukte ISBN's	978-94-034-0479-0
Elektronische ISBN's	978-94-034-0478-3
Status	Published - 2018

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Title and contentsFinal publisher's version, 430 KB
Chapter 1Final publisher's version, 791 KB
Chapter 2Final publisher's version, 0,98 MB
Chapter 3Final publisher's version, 1,18 MB
Chapter 4Final publisher's version, 1,33 MB
Chapter 5Final publisher's version, 504 KB
ReferencesFinal publisher's version, 719 KB
SummaryFinal publisher's version, 328 KB
Nederlandse SamenvattingFinal publisher's version, 214 KB
DankwoordFinal publisher's version, 245 KB
Appendix A+BFinal publisher's version, 663 KB
Complete thesisFinal publisher's version, 2,98 MB
PropositionsFinal publisher's version, 405 KB

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

abstract = "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.",

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AB - 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.

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

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