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Physical distribution --- Production management --- SCM (supply chain management) --- risk management
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This title is a Pearson Global Edition. The Editorial team at Pearson has worked closely with educators around the world to include content which is especially relevant to students outside the United States.For courses in operations management.A broad introduction to operations, reinforced with extensive practice problemsOperations Management: Sustainability and Supply Chain Management presents a broad introduction to the field of operations in a realistic and practical manner, while offering the largest and most diverse collection of issues on the market. Solved problems and worked examples found in the 13th Edition provide ample support -- to help readers better understand concepts important to today's operations management professionals.Pearson MyLab Operation Management not included. Students, if Pearson MyLab Operation Management is a recommended/mandatory component of the course, please ask your instructor for the correct ISBN. Pearson MyLab Operation Management should only be purchased when required by an instructor. Instructors, contact your Pearson representative for more information.Reach every student by pairing this text with Pearson MyLab Operation ManagementMyLab(TM) is the teaching and learning platform that empowers you to reach every student. By combining trusted author content with digital tools and a flexible platform, MyLab personalizes the learning experience and improves results for each student.
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Operations Management: Sustainability and Supply Chain Management presents a broad introduction to the field of operations in a practical and application-oriented manner. Through detailed behind-the-scenes perspectives on the production of goods and services?from music concerts to e-commerce package delivery, manufacturing an aircraft to 3D printed stakes?this text offers an inside view that helps students gain a true understanding of how operations work within an organization.This 14th Edition addresses current trends and practices in operations management, including Industry 4.0 (also known as the Fourth Industrial Revolution), which is transforming the automation, monitoring, and analysis of supply chains through smart technology; and COVID-19 and its impact on global supply chains. The resources help you better understand concepts important to today's operations management professionals.
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This book fills a void for a balanced approach to spreadsheet-based decision modeling. In addition to using spreadsheets as a tool to quickly set up and solve decision models, the authors show how and why the methods work and combine the user's power to logically model and analyze diverse decision-making scenarios with software-based solutions. The book discusses the fundamental concepts, assumptions and limitations behind each decision modeling technique, shows how each decision model works, and illustrates the real-world usefulness of each technique with many applications from both profit and nonprofit organizations. The authors provide an introduction to managerial decision modeling, linear programming models, modeling applications and sensitivity analysis, transportation, assignment and network models, integer, goal, and nonlinear programming models, project management, decision theory, queuing models, simulation modeling, forecasting models and inventory control models. The additional material files Chapter 12 Excel files for each chapter Excel modules for Windows Excel modules for Mac 4th edition errata can be found at https://www.degruyter.com/view/product/486941
Management --- Mathematical models. --- Decision making --- Electronic spreadsheets --- Mathematical models --- Computer simulation --- E-books --- Electronic spread sheets --- Spread sheets, Electronic --- Spreadsheeting, Electronic --- Spreadsheets, Electronic --- Business --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management decisions --- Choice (Psychology) --- Problem solving --- Data processing --- Decision modeling. --- Decision science. --- Excel modeling. --- Linear programming. --- Quantitative analysis.
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