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dc.contributor.authorMitrofanovs, V.
dc.contributor.authorBoiko, I.
dc.contributor.authorGeriņš, Ē.
dc.date.accessioned2019-05-15T19:10:29Z
dc.date.available2019-05-15T19:10:29Z
dc.date.issued2019
dc.identifier.publicationAgronomy Research, 2019, vol. 17, Special Issue 1, pp. 1138–1145eng
dc.identifier.issn1406-894X
dc.identifier.urihttp://hdl.handle.net/10492/4820
dc.identifier.urihttps://doi.org/10.15159/ar.19.075
dc.descriptionArticleeng
dc.description.abstractMost of the service centers operating in the repair and maintenance of machines and mechanisms apply warehouse management systems based on event prediction, which ensures inventory replenishment based on the initial diagnosis of the units. Such methodology is enforced measure, since the components and assemblies, even from the same manufacturer, having similar functions, design and connecting components have their own engineering numbers and part numbers for ordering. Unfortunately, this method is relevant only with perfect logistics and minimal time factor. If these criteria cannot be fulfilled, the maintenance and repair time increases, especially at a distance from logistic centers. By reducing lost sales and quick customer satisfaction, own warehouse stocks based on statistical data increases. Unfortunately, none of the modern methods gives a 100% result and eventually leads to overstocking and formation of deadstock. On the other hands more and more components are made from composite materials, complex alloys, permanent joints are being used. But due to ineffective management the significant part of expensive components is became needless. The aim of this research is to develop an algorithm allowing to optimise the logistics chain and reduce the inventory and deadstock, reduce disposal of used and obsolete units and assemblies, resulting in significantly lower consumption of natural resources, energy and reduced negative impact of waste on the environment. Our research shows that in various fields of science there are being developed methodologies, which would solve the described tasks by combining those methodologies in a single algorithm.eng
dc.subjectmanagement of parts and componentseng
dc.subjectimpact on the environmenteng
dc.subjectparts algorithmeng
dc.subjectarticleseng
dc.titleManagement of parts and components for units and assemblies in mechanical engineering industry and its impact on the environmenteng
dc.typeArticleeng
dc.rights.holderCopyright 2009 by Estonian University of Life Sciences, Latvia University of Agriculture, Aleksandras Stulginskis University, Lithuanian Research Centre for Agriculture and Forestry. No part of this publication may be reproduced or transmitted in any form, or by any means, electronic or mechanical, incl. photocopying, electronic recording, or otherwise without the prior written permission from the Estonian University of Life Sciences, Latvia University of Agriculture, Aleksandras Stulginskis University, Lithuanian Research Centre for Agriculture and Forestry.eng


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