Six Steps Inventory Optimization

Six Steps Inventory Optimization
Author: Tony Zrilich
Publisher: Lulu.com
Total Pages: 216
Release: 2015-08-18
Genre: Business & Economics
ISBN: 9781326394592

The story about inventory optimization is never ending. Six steps, we described in this book will help you to keep inventories under control and you manage them, and not vice versa. My desire was to give you the tools that will be able to feed the wolf (read: to satisfy customers), and no sheep are missing (read: that the costs are optimal and under control). It is important to note that any method, including this one, will not do the job instead of you. In addition you need to go regularly through these steps, you will also have to make certain strategic and operational decisions on a daily basis. And remember that the worst decision you can make is the one you do not make. This book investigates a methodology that would: reduce inventory costs, increase the level of customer service and at the same time be sustainable in the long term. Through six practical steps and with plenty of examples you should find answer for the question of how to better and more efficiently manage inventory."

Six Steps Inventory Optimization

Six Steps Inventory Optimization
Author: antonio zrilic
Publisher: Lulu.com
Total Pages: 130
Release: 2012-12-14
Genre: Business & Economics
ISBN: 1300525398

The story about inventory optimization is never ending story, and it is caught in vicious circle. Six steps we described in this book will help you to keep inventories under control and you manage them, and not vice versa. My desire was to give you the tools that will be able to feed the wolf (read: to satisfy customers), and no sheep are missing (read this again: that the costs are optimal and under control). It is important to note that any method, including this one, will not do the job instead of you. In addition you need to go regularly through these steps, you will also have to make certain strategic and operational decisions on a daily basis. And remember that the worst decision you can make is the one you do not make.

Optimization and Inventory Management

Optimization and Inventory Management
Author: Nita H. Shah
Publisher: Springer Nature
Total Pages: 470
Release: 2019-08-31
Genre: Business & Economics
ISBN: 9811396981

This book discusses inventory models for determining optimal ordering policies using various optimization techniques, genetic algorithms, and data mining concepts. It also provides sensitivity analyses for the models’ robustness. It presents a collection of mathematical models that deal with real industry scenarios. All mathematical model solutions are provided with the help of various optimization techniques to determine optimal ordering policy. The book offers a range of perspectives on the implementation of optimization techniques, inflation, trade credit financing, fuzzy systems, human error, learning in production, inspection, green supply chains, closed supply chains, reworks, game theory approaches, genetic algorithms, and data mining, as well as research on big data applications for inventory management and control. Starting from deterministic inventory models, the book moves towards advanced inventory models. The content is divided into eight major sections: inventory control and management – inventory models with trade credit financing for imperfect quality items; environmental impact on ordering policies; impact of learning on the supply chain models; EOQ models considering warehousing; optimal ordering policies with data mining and PSO techniques; supply chain models in fuzzy environments; optimal production models for multi-items and multi-retailers; and a marketing model to understand buying behaviour. Given its scope, the book offers a valuable resource for practitioners, instructors, students and researchers alike. It also offers essential insights to help retailers/managers improve business functions and make more accurate and realistic decisions.

Level 6 Diploma in Logistics and Inventory Management - City of London College of Economics - 6 months - 100% online / self-paced

Level 6 Diploma in Logistics and Inventory Management - City of London College of Economics - 6 months - 100% online / self-paced
Author: City of London College of Economics
Publisher: City of London College of Economics
Total Pages: 1061
Release:
Genre: Education
ISBN:

Overview Do you want to become a Logistics and/or Inventory Manager? Content - Benchmarking Logistics Performance - Distribution - International Logistics - Controlling Logistics Costs - Logistics Management and Strategy - Software and Technology - Warehouse Management - Inventory Reduction Strategies: Insights from the Pros - Inventory Reduction Strategies: IOMA Readers Report – What Works - Inventory Reduction Strategies: Case Studies of Success - Technology/Computers/Software - Purchasing/Supplier Issues/Vendor Managed Inventory - Audits and Physical Inventory/Accuracy - Benchmarks - New Inventory Management Products, Services, and Ideas - Best Inventory Management Tips - E-Purchasing/E-Supply Chain etc. Duration 6 months Assessment The assessment will take place on the basis of one assignment at the end of the course. Tell us when you feel ready to take the exam and we’ll send you the assignment questions. ​​​​​​​ Study material The study material will be provided in separate files by email / download link.

The IOMA Handbook of Logistics and Inventory Management

The IOMA Handbook of Logistics and Inventory Management
Author: Institute of Management and Administration (IOMA)
Publisher: John Wiley & Sons
Total Pages: 1059
Release: 2002-10-01
Genre: Business & Economics
ISBN: 047120935X

Practical, easy-to-implement advice on the most successful logistics management techniques being used today--from selecting the best carriers, setting logistics performance goals, and planning logistics strategies, to streamlining shipping and receiving and slashing logistics costs, and negotiating and managing third party logistics service providers.

Lean Six Sigma for Supply Chain Management, Chapter 6 - Identifying Lean Six Sigma Projects Using Inventory Models

Lean Six Sigma for Supply Chain Management, Chapter 6 - Identifying Lean Six Sigma Projects Using Inventory Models
Author: James Martin
Publisher: McGraw Hill Professional
Total Pages: 27
Release: 2006-10-12
Genre: Business & Economics
ISBN: 0071735569

This chapter comes from Lean Six Sigma for Supply Chain Management, written by a master black belt/educator. Neatly condensed into a 10 step process, this book teaches you how to apply the tenets of lean operations (from the Toyota Production System) and Six Sigma management principles to supply chain management. Author Jim Martin includes more than 200 tables and figures describing roadmaps, critical success characteristics as well as specific information necessary to fully integrate Lean Six Sigma concepts within your supply chain.

Encyclopedia of Business Analytics and Optimization

Encyclopedia of Business Analytics and Optimization
Author: Wang, John
Publisher: IGI Global
Total Pages: 2862
Release: 2014-02-28
Genre: Business & Economics
ISBN: 1466652039

As the age of Big Data emerges, it becomes necessary to take the five dimensions of Big Data- volume, variety, velocity, volatility, and veracity- and focus these dimensions towards one critical emphasis - value. The Encyclopedia of Business Analytics and Optimization confronts the challenges of information retrieval in the age of Big Data by exploring recent advances in the areas of knowledge management, data visualization, interdisciplinary communication, and others. Through its critical approach and practical application, this book will be a must-have reference for any professional, leader, analyst, or manager interested in making the most of the knowledge resources at their disposal.

Advanced Mathematical Applications in Data Science

Advanced Mathematical Applications in Data Science
Author: Biswadip Basu Mallik
Publisher: Bentham Science Publishers
Total Pages: 223
Release: 2023-08-24
Genre: Computers
ISBN: 9815124854

Advanced Mathematical Applications in Data Science comprehensively explores the crucial role mathematics plays in the field of data science. Each chapter is contributed by scientists, researchers, and academicians. The 13 chapters cover a range of mathematical concepts utilized in data science, enabling readers to understand the intricate connection between mathematics and data analysis. The book covers diverse topics, including, machine learning models, the Kalman filter, data modeling, artificial neural networks, clustering techniques, and more, showcasing the application of advanced mathematical tools for effective data processing and analysis. With a strong emphasis on real-world applications, the book offers a deeper understanding of the foundational principles behind data analysis and its numerous interdisciplinary applications. This reference is an invaluable resource for graduate students, researchers, academicians, and learners pursuing a research career in mathematical computing or completing advanced data science courses. Key Features: Comprehensive coverage of advanced mathematical concepts and techniques in data science Contributions from established scientists, researchers, and academicians Real-world case studies and practical applications of mathematical methods Focus on diverse areas, such as image classification, carbon emission assessment, customer churn prediction, and healthcare data analysis In-depth exploration of data science's connection with mathematics, computer science, and artificial intelligence Scholarly references for each chapter Suitable for readers with high school-level mathematical knowledge, making it accessible to a broad audience in academia and industry.