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Benita M. Beamon

Researcher at University of Cincinnati

Publications -  7
Citations -  5060

Benita M. Beamon is an academic researcher from University of Cincinnati. The author has contributed to research in topics: Supply chain & Supply chain management. The author has an hindex of 7, co-authored 7 publications receiving 4807 citations.

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Measuring supply chain performance

TL;DR: An overview and evaluation of the performance measures used in supply chain models are presented and a framework for the selection of performance measurement systems for manufacturing supply chains is presented.
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Supply chain design and analysis:: Models and methods

TL;DR: In this article, the authors provide a focused review of literature in multi-stage supply chain modeling and define a research agenda for future research in this area, which is largely a result of the rising costs of manufacturing, the shrinking resources of manufacturing bases, shortened product life cycles, the leveling of the playing field within manufacturing, and the globalization of market economies.
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Designing the green supply chain

TL;DR: In this paper, the authors investigated the environmental factors leading to the development of an extended environmental supply chain, and described the elemental differences between the extended supply chain and the traditional supply chain.
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A process quality model for the analysis, improvement and control of supply chain systems

TL;DR: In this article, the authors examined quality measurement in a supply chain process by developing the process quality model to be used in the assessment, improvement and control of a manufacturing supply chain system.
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Performability-based fleet sizing in a material handling system

TL;DR: In this paper, a regression model is developed to study the relationship among various material handling system design characteristics (fleet size, guide path layout, and number of P/D stations, vehicle speed and failure rates, vehicle failure rate, and P&D station failure rate) and performability, measured as the average number of material moves between failures (MBF).