2 research outputs found

    Supply chain network design: a case study of the regional facilities analysis for a 3D printing company

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    [EN] 3D printing supply chain network. The objective is to analyze regional facility configurations in order to lower investment risks for an organization that aims to provide additive manufacturing The growing 3D printing market can be an attraction for investment in new businesses, which may entail strategic planning for new ventures. This paper presents a case study of designing a services for orthopedic and dental prostheses production. To this end, the competitive environment, the aggregating factor and logistic costs, tariffs and tax incentives, regional demand, political factors, the value of currency, and the demand uncertainty are analyzed. The results indicate that the adopted framework for network design decisions effectively allows the analysis of regional facility configuration. It also suggests that there are no hindering factors to the implementation of a 3D printing service company. In the region studied, there are fiscal incentives of more than 60% for taxes on the movement of goods between municipalities, which can be an advantage when locating facilities outside the capital. Competitors are well qualified, but there is room for new companies focused on quality and price, which may be a case for specialized products such as protheses. The estimated demand ranges from 146 to 509 units per month, which may be an opportunity for a new entrant given the few additive manufacturing ventures identified in the region.Carvalho De Sá, B.; Dutra De Souza, EH.; Reis, LP.; De Souza Dutra, MD. (2022). Supply chain network design: a case study of the regional facilities analysis for a 3D printing company. International Journal of Production Management and Engineering. 10(2):211-223. https://doi.org/10.4995/ijpme.2022.17620OJS21122310

    ATLANTIC EPIPHYTES: a data set of vascular and non-vascular epiphyte plants and lichens from the Atlantic Forest

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    Epiphytes are hyper-diverse and one of the frequently undervalued life forms in plant surveys and biodiversity inventories. Epiphytes of the Atlantic Forest, one of the most endangered ecosystems in the world, have high endemism and radiated recently in the Pliocene. We aimed to (1) compile an extensive Atlantic Forest data set on vascular, non-vascular plants (including hemiepiphytes), and lichen epiphyte species occurrence and abundance; (2) describe the epiphyte distribution in the Atlantic Forest, in order to indicate future sampling efforts. Our work presents the first epiphyte data set with information on abundance and occurrence of epiphyte phorophyte species. All data compiled here come from three main sources provided by the authors: published sources (comprising peer-reviewed articles, books, and theses), unpublished data, and herbarium data. We compiled a data set composed of 2,095 species, from 89,270 holo/hemiepiphyte records, in the Atlantic Forest of Brazil, Argentina, Paraguay, and Uruguay, recorded from 1824 to early 2018. Most of the records were from qualitative data (occurrence only, 88%), well distributed throughout the Atlantic Forest. For quantitative records, the most common sampling method was individual trees (71%), followed by plot sampling (19%), and transect sampling (10%). Angiosperms (81%) were the most frequently registered group, and Bromeliaceae and Orchidaceae were the families with the greatest number of records (27,272 and 21,945, respectively). Ferns and Lycophytes presented fewer records than Angiosperms, and Polypodiaceae were the most recorded family, and more concentrated in the Southern and Southeastern regions. Data on non-vascular plants and lichens were scarce, with a few disjunct records concentrated in the Northeastern region of the Atlantic Forest. For all non-vascular plant records, Lejeuneaceae, a family of liverworts, was the most recorded family. We hope that our effort to organize scattered epiphyte data help advance the knowledge of epiphyte ecology, as well as our understanding of macroecological and biogeographical patterns in the Atlantic Forest. No copyright restrictions are associated with the data set. Please cite this Ecology Data Paper if the data are used in publication and teaching events. © 2019 The Authors. Ecology © 2019 The Ecological Society of Americ
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