Handbook of Research on Managerial Strategies for Achieving Optimal Performance in Industrial Processes

Handbook of Research on Managerial Strategies for Achieving Optimal Performance in Industrial Processes

Giner Alor-Hernández (Instituto Tecnológico de Orizaba, Mexico), Cuauhtémoc Sánchez-Ramírez (Instituto Tecnológico de Orizaba, Mexico) and Jorge Luis García-Alcaraz (Universidad Autónoma de Ciudad Juárez, Mexico)
Release Date: May, 2016|Copyright: © 2016 |Pages: 674
ISBN13: 9781522501305|ISBN10: 1522501304|EISBN13: 9781522501312|DOI: 10.4018/978-1-5225-0130-5


Competitive advantage is a key factor to the success of any business in modern society. To achieve this goal, effective strategies for process improvement must be researched and implemented into an organization.

The Handbook of Research on Managerial Strategies for Achieving Optimal Performance in Industrial Processes examines optimization techniques for improved business operations and procedures in the industrial sector. Highlighting management techniques, innovative approaches, and technological tools, this publication is an essential reference source for professionals, researchers, consultants, upper-level students, and academicians interested in the advancement of knowledge in industrial communities.

Topics Covered

The many academic areas covered in this publication include, but are not limited to:

  • Automatic Defect Detection
  • Cloud Computing
  • Healthcare System Management
  • Knowledge Transfer
  • Macroergonomics
  • Micro-Factories
  • Risk Management
  • Small and Medium Enterprises
  • Supply Chain Management

Reviews and Testimonials

Industrial engineers and other contributors describe recent developments and current trends in improving manufacturing processes that have impacted different markets. They cover supply chain and logistics, human factors and decision making, quality control, lean manufacturing, and optimization. Specific topics include logistics geostrategy as a decision factor in locating a multimodal logistics platform, operational risk management in third party logistics, factorial design for reducing variation in plastic parts weight: plastic parts weight and injection molding, using lean-Sigma for integrating two products during a ramp-up event, and optimizing the reconfiguration of machining desktop micro-factory based on a scheduling simulation.

– ProtoView Reviews

Table of Contents and List of Contributors

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Author(s)/Editor(s) Biography

Jorge Luis Garcia-Alcaraz is a full time researcher of the Department of Industrial Engineering at the Autonomous University of Ciudad Juarez. He received a MSc in Industrial Engineering from the Colima Technology Institute (Mexico), a PhD in Industrial Engineering from Ciudad Juarez Technology Institute (Mexico) and a Postdoc from University of La Rioja (Spain). His main research areas are related to Multicriteria decision making applied to manufacturing, production process modeling and statistical inference. He is founding member of the Mexican Society of Operation Research and active member in the Mexican Academy of Industrial Engineering. Currently, Dr. Garcia is a National Researcher recognized by the National Council of Science & Technology of Mexico (CONACYT) and is working with group research from Colombia, Spain and Dominican Republic. Actually, Dr. Garcia is author/coauthor in around 120 journals, international conferences and congress.