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Glenn Ballard
Researcher at University of California, Berkeley
Publications - 209
Citations - 8836
Glenn Ballard is an academic researcher from University of California, Berkeley. The author has contributed to research in topics: Lean construction & Project management. The author has an hindex of 48, co-authored 206 publications receiving 8094 citations. Previous affiliations of Glenn Ballard include University of Washington & Lean Construction Institute.
Papers
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Journal ArticleDOI
Shielding production: essential step in production control
Glenn Ballard,Gregory A. Howell +1 more
TL;DR: In this paper, the quality of work assignments in production units such as construction crews and engineering squads is the key to production control and for determining production unit productivity, and it has been shown that quality assignments can be substantially improved by forming and selecting them to meet soundness, sequence, and size criteria.
Implementing Lean Construction: Stabilizing Work Flow
Glenn Ballard,Greg Howell +1 more
TL;DR: In this paper, the authors break from the conversion process model and reconceiving production processes in terms of Koskela's flow process model, revealing the time and money wasted when materials and information are defective or idle.
Journal ArticleDOI
Lean project management
Glenn Ballard,Gregory A. Howell +1 more
TL;DR: In this paper, a model of lean project management and contrasts lean and traditional approaches is presented, and four tools or interventions are presented as illustrations of lean concepts in action, as well as a comparison between the two approaches.
The Lean Project Delivery System: An Update
TL;DR: The Lean Project Delivery System (LPDS) as mentioned in this paper was developed from theoretical and practical investigations, and is in process of on-going development through experimentation in many parts of the world.
Journal ArticleDOI
Target value design: using collaboration and a lean approach to reduce construction cost
TL;DR: Target Value Design (TVDD) is an effective management technique that has been used in manufacturing for decades to achieve cost predictability during new product development as discussed by the authors. But it has not yet been adopted in the construction industry.