Author: Rodolfo Enrique Silvera Escudero
Publisher: Ecoe Ediciones
ISBN: 9585037866
Category : Business & Economics
Languages : es
Pages : 223
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Book Description
El libro Logística XY plus es una obra que describe en forma sistemática la sostenibilidad y la colaboración que debe existir en la cadena de suministro. Se analizan situaciones de la economía aplicada a la gestión logística, haciendo énfasis en la logística circular como pilar fundamental de la sostenibilidad de los procesos administrativos de cualquier ente económico que tenga como prioridad el servicio al cliente como herramienta en la generación de valor. El libro cuenta con trece capítulos dedicados a la logística circular y colaborativa, la planeación, organización y el servicio al cliente como herramientas importantes en la buena gestión de la logística integral. Cada capítulo viene acompañado de una serie de ejercicios prácticos que complementan los conceptos de una administración de cadena de suministro y en el área de logística. Dirigido a estudiantes de Administración de Empresas, Administración Logística, Ingeniería Industrial, Economía, Administración de Negocios Internacionales. De igual forma, a estudiantes tecnólogos en Gestión Logística, coordinadores de procesos logísticos, distribución física, comercio internacional, Especialización Tecnológica en Gestión Económica de la Logística Internacional y Especialización en Logística Internacional. Incluye: - Temas innovadores en sostenibilidad y colaboración de la logística integral. - Temas de mejores prácticas en el servicio al cliente y la forma de generación de valor. - Estudios de caso aplicado a temas de colaboración de la logística urbana. - Ejercicios prácticos de administración de inventario y almacenamiento de cadena de suministro. - Uso de Excel en actividades prácticas de la economía circular y colaborativa. - Ejercicios generales y prácticos de la cadena de suministro general de cualquier sistema económico.
Author: Paul Myerson
Publisher: McGraw Hill Professional
ISBN: 0071766278
Category : Technology & Engineering
Languages : en
Pages : 292
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Book Description
"The documented benchmarks for success and the many examples help explicate the complexities for the reader. The book is organized and written so that it will be useful as an introduction to the field and also as a reference when special challenges arise for the practicing manager." -- DR. JOHN J. COYLE, Professor Emeritus of Logistics and Supply Chain Management, Department of Supply Chain and Information Systems, Smeal College of Business, Pennsylvania State University "The book is a must-read for all supply chain managers seeking to drive down costs and improve profits and must be read before any investment is made in your supply chain. Get copies for your controller and all senior managers...this book lays it all out." -- DR. RICHARD LANCIONI, Chair, Marketing & Supply Chain Management, Fox School of Business, Temple University Expert Strategies for Improving Supply Chain and Logistics Performance Using Lean This practical guide reveals how to identify and eliminate waste in your organization's supply chain and logistics function. Lean Supply Chain and Logistics Management provides explanations of both basic and advanced Lean tools, as well as specific Lean implementation opportunities. The book then describes a Lean implementation methodology with critical success factors. Real-world examples and case studies demonstrate how to effectively use this powerful strategy to realize significant, long-term improvements and bottom-line savings. COVERAGE INCLUDES: * Using Lean to energize your supply chain * The eight wastes * Lean opportunities and JIT in supply chain and logistics * Lean tools and warehouse * Global lean supply chain and logistics * Lean opportunity assessment, value stream mapping, and Kaizen event management * Best-in-class use of technology with Lean * Metrics and measurement * Education and training Valuable training slides are available for download.
Author: John Joseph Coyle
Publisher:
ISBN: 9789353502546
Category :
Languages : en
Pages : 0
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Book Description
Short cases at the end of each Chapter are updated and build on what students have learned in the Chapter.
Author: Alan Rushton
Publisher: Kogan Page Publishers
ISBN: 9780749433659
Category : Business & Economics
Languages : en
Pages : 612
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Book Description
Designed for students, young managers and seasoned practitioners alike, this handbook explains the nuts and bolts of the modern logistics and distribution world in plain language. Illustrated throughout, this second edition includes new chapters on areas previously not covered, such as: intermodal transport; benchmarking; environmental matters; and vehicle and depot security.
Author: Martin Christopher
Publisher: Pearson UK
ISBN: 0273760017
Category : Business & Economics
Languages : en
Pages : 273
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Book Description
Effective development and management of a supply chain network is an invaluable source of sustainable advantage in today’s turbulent global marketplace, where demand is difficult to predict and supply chains need to be more flexible as a result. This updated 4th edition of the bestselling Logistics and Supply Chain Management is a clear-headed guide to all the key topics in an integrated approach to supply chains, including: • The link between logistics and customer value. • Logistics and the bottom line measuring costs and performance. • Creating a responsive supply chain. • Managing the global pipeline. • Managing supply chain relationships. • Managing risk in the supply chain. • Matching supply and demand. • Creating a sustainable supply chain. • Product design in the supply chain.
Author: Alan Harrison
Publisher: Pearson UK
ISBN: 1292183721
Category : Business logistics
Languages : en
Pages : 607
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Book Description
Author: Michael J. Crawley
Publisher: John Wiley & Sons
ISBN: 9780470515068
Category : Mathematics
Languages : en
Pages : 953
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Book Description
The high-level language of R is recognized as one of the mostpowerful and flexible statistical software environments, and israpidly becoming the standard setting for quantitative analysis,statistics and graphics. R provides free access to unrivalledcoverage and cutting-edge applications, enabling the user to applynumerous statistical methods ranging from simple regression to timeseries or multivariate analysis. Building on the success of the author’s bestsellingStatistics: An Introduction using R, The R Book ispacked with worked examples, providing an all inclusive guide to R,ideal for novice and more accomplished users alike. The bookassumes no background in statistics or computing and introduces theadvantages of the R environment, detailing its applications in awide range of disciplines. Provides the first comprehensive reference manual for the Rlanguage, including practical guidance and full coverage of thegraphics facilities. Introduces all the statistical models covered by R, beginningwith simple classical tests such as chi-square and t-test. Proceeds to examine more advance methods, from regression andanalysis of variance, through to generalized linear models,generalized mixed models, time series, spatial statistics,multivariate statistics and much more. The R Book is aimed at undergraduates, postgraduates andprofessionals in science, engineering and medicine. It is alsoideal for students and professionals in statistics, economics,geography and the social sciences.
Author: Dan Jurafsky
Publisher: Pearson Education India
ISBN: 9788131716724
Category :
Languages : en
Pages : 912
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Book Description
Author: Marc Peter Deisenroth
Publisher: Cambridge University Press
ISBN: 1108569323
Category : Computers
Languages : en
Pages : 392
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Book Description
The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts. Every chapter includes worked examples and exercises to test understanding. Programming tutorials are offered on the book's web site.
Author: Michael D. Greenberg
Publisher: Pearson Education India
ISBN: 9788177585469
Category : Algebras, Linear
Languages : en
Pages : 1350
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Book Description
