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Reggie J. Caudill
Researcher at New Jersey Institute of Technology
Publications - 65
Citations - 1465
Reggie J. Caudill is an academic researcher from New Jersey Institute of Technology. The author has contributed to research in topics: Petri net & Sustainability. The author has an hindex of 19, co-authored 65 publications receiving 1367 citations. Previous affiliations of Reggie J. Caudill include Tsinghua University.
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Journal ArticleDOI
Disassembly modeling, planning, and application
TL;DR: A survey of the state of the art in disassembly modeling and process planning can be found in this article, where the main purpose is to survey the state-of-the-art of this emerging area to supply important information for future study.
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Comparing ladder logic diagrams and Petri nets for sequence controller design through a discrete manufacturing system
TL;DR: Criteria to compare LLDs and Petri nets in designing sequence controllers and responding to the changing control requirements are identified and the results reported will help establish Petri net based techniques for discrete-event control of industrial automated systems.
Proceedings ArticleDOI
Environmental performance analysis of solid freedom fabrication processes
TL;DR: In this paper, the authors present a method for analyzing the environmental performance of solid freeform fabrication (SFF) processes, where each process is divided into life phases and each process phase is then analyzed and evaluated based on the environmental and resource management data.
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An integrated approach to disassembly planning and demanufacturing operation
TL;DR: The proposed methodology and algorithms are demonstrated through the disassembly of personal computers in an integrated flexible demanufacturing system and Scheduling Petri net is introduced to schedule the demanmanufacturing resources.
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An integrated e-supply chain model for agile and environmentally conscious manufacturing
TL;DR: In this paper, the authors present a mathematically sound model for the design and optimization of supply chains in terms of such important performance indexes as product cost, cycle time, quality, energy and environmental impact in the context of global and Internet-based manufacturing.