M
Matthew Franchetti
Researcher at University of Toledo
Publications - 70
Citations - 956
Matthew Franchetti is an academic researcher from University of Toledo. The author has contributed to research in topics: Municipal solid waste & Lean Six Sigma. The author has an hindex of 15, co-authored 68 publications receiving 851 citations. Previous affiliations of Matthew Franchetti include Purdue University.
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Critical factors for implementing ISO 14001 standard in United States industrial companies
TL;DR: In this paper, the authors present the results of an empirical study carried out on a sample of certified industrial companies that operate in the United States, with the aim of identifying some of the critical factors for successful implementation of the ISO 14001 registration process.
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Economic and environmental analysis of four different configurations of anaerobic digestion for food waste to energy conversion using LCA for: a food service provider case study.
TL;DR: The findings from the case study indicated that implementing on-site waste to energy systems will result in lower operation costs and lower environmental impacts, and a standardized environmental and economic comparison of competing food Waste to energy technologies is provided.
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Recycling performance of firms before and after adoption of the ISO 14001 standard
TL;DR: In this article, the impact of ISO 14001 certification on recycling performance was studied based on a survey conducted on a sample of certified industrial companies that operate in United States, which revealed that companies' recycling performance is significantly positively affected by certification.
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An economic analysis comparing the cost feasibility of replacing injection molding processes with emerging additive manufacturing techniques
TL;DR: In this paper, the cost structure and break-even points of additive manufacturing (AM) versus traditional manufacturing methods were compared and the relationship to the overall cost structure was analyzed. But the analysis was limited to AM-based and non-AM-based methods.