Building upon previous work in the field of system dynamics, a generic model of multiple improvement initiatives is outlined. The current model structure incorporates empirical data gathered by the author. The empirical data is taken from a large international survey of manufacturing plants and serves as calibration sets for several program implementation patterns. Statistical analyses and simulation experiments revealed noticeable preliminary results: (i) plants should strive for balanced implementation patterns that focus on multiple programs instead of favoring a single program. (ii) Plants should balance their implementation patterns according to the organizational and technological complexity of the improvement programs, i.e. that comparatively more efforts should be spent on more challenging improvement efforts. The value of the conducted approach lies (i) in the explicit investigation of the impact of different improvement programs (e.g. TQM, TPM, process automation, training) and (ii) in the integration of empirically gathered data.

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Date created

• 2006 July 23-2006 July 27

Type

• Document

Processing Activity

• Processing documentation available at: https://wiki.albany.edu/display/SCA/Processing+Ingested+Digital+Files

License

• Creative Commons BY-NC-ND Attribution-NonCommercial-NoDerivs 4.0 International

  
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ITEM CONTEXT

Part of

32937c7b43e3e015509bb71fd40d2054

Scope and Contents

Part of

23d738ba88f8333bc39725f9cb5bd0b8

Scope and Contents

Part of

f9377a3ac7b50b1fca5e04fb6d679ec2

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Collection

System Dynamic Society Records

Scope and Contents

Collecting area

• This collection is part of the University Archives