K
Kimberly P. Ellis
Researcher at Virginia Tech
Publications - 21
Citations - 424
Kimberly P. Ellis is an academic researcher from Virginia Tech. The author has contributed to research in topics: Component (UML) & Job shop scheduling. The author has an hindex of 11, co-authored 20 publications receiving 346 citations.
Papers
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Journal ArticleDOI
Horizontal collaboration: opportunities for improved logistics planning
TL;DR: A review of the existing research in horizontal collaboration, specifically highlighting efforts focussed in the areas of on-demand logistics, freight consolidation, facility sharing, incentives, case studies, and quantitative analyses is offered.
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Development and application of a worker assignment model to evaluate a lean manufacturing cell
TL;DR: In this article, the authors present a model that assigns workers to tasks within a lean manufacturing cell while minimizing net present cost, and evaluate the effect of increased cross-training on the cell.
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Component allocation to balance workload in printed circuit card assembly systems
Jane C. Ammons,M. Carlyle,L. Cranmer,Gail W. DePuy,Kimberly P. Ellis,Leon F. McGinnis,Craig A. Tovey,H. Xu +7 more
TL;DR: Two alternative solution approaches are presented: a list-processing-based heuristic for a simple version of the problem, and a linear-programming-based branch-and-bound procedure for the general component allocation problem.
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Developing an inter-organizational safety climate instrument for the construction industry
Lance W. Saunders,Brian M. Kleiner,Andrew P. McCoy,Kimberly P. Ellis,Tonya L. Smith-Jackson,Christian Wernz +5 more
TL;DR: In this paper, an inter-organizational safety climate instrument for measuring attitudes toward safety of construction industry stakeholders including owners, designers, construction managers, and subcontractors was developed, based on a confirmatory factor analysis.
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Decision support for additive manufacturing deployment in remote or austere environments
TL;DR: In this article, a decision support tool is proposed to help users determine appropriate machines and materials for their desired deployable context, where user constraints are separated into process, machine, part, material, environmental, and logistical categories to form a deployable manufacturing framework.