Mohamad Y. Jaber – författare

As markets become more dynamic and competitive, companies must reconsider how they view inventory and make changes to their production and inventory systems. They must begin to think outside the classical box and develop a new paradigm of inventory management. Exploring the trend away from classical models based on economic order quantities to dependent demand systems, Inventory Management: Non-Classical Views comes as a just-in-time resource.Explore the new role of inventories in business enterprisesThis book discusses a new paradigm for inventory management that is responsive to dynamic changes in the economy. It explores: Inventory systems that provide flexibilityInventory performance measures other than using cost as a means to control inventoryInventory as a contributor to customer value creation, rather than a liability The book also examines why energy and the environment are to be considered in inventory decisions, the non-classical application of inventory management in fields such as healthcare and disaster relief, and non-classical approaches to measuring the performance of inventory such as information theory, fuzzy sets, and thermodynamics. While many factors may change, one certainty is that the global economy is becoming increasingly dynamic. Planting the seeds for new research in inventory control and management, this book outlines the evolving role of inventories in business enterprises. It explores how to create inventory management as a tool for continued success regardless of market fluctuations and economic variances.

Written by international contributors, Learning Curves: Theory, Models, and Applications first draws a learning map that shows where learning is involved within organizations, then examines how it can be sustained, perfected, and accelerated. The book reviews empirical findings in the literature in terms of different sources for learning and partial assessments of the steps that make up the actual learning process inside the learning curve. Traditionally, books on learning curves have focused either on cost accounting or production planning and control. In these books, the learning curve has been treated as a forecasting tool. This book synthesizes current research and presents a clear picture of organizational learning curves. It explores how organizations improve other measures of organizational performance including quality, inventory, and productivity, then looks inside the learning curve to determine the actual processes through which organizations learn.

As markets become more dynamic and competitive, companies must reconsider how they view inventory and make changes to their production and inventory systems. They must begin to think outside the classical box and develop a new paradigm of inventory management. Exploring the trend away from classical models based on economic order quantities to dependent demand systems, Inventory Management: Non-Classical Views comes as a just-in-time resource.Explore the new role of inventories in business enterprisesThis book discusses a new paradigm for inventory management that is responsive to dynamic changes in the economy. It explores: Inventory systems that provide flexibilityInventory performance measures other than using cost as a means to control inventoryInventory as a contributor to customer value creation, rather than a liability The book also examines why energy and the environment are to be considered in inventory decisions, the non-classical application of inventory management in fields such as healthcare and disaster relief, and non-classical approaches to measuring the performance of inventory such as information theory, fuzzy sets, and thermodynamics. While many factors may change, one certainty is that the global economy is becoming increasingly dynamic. Planting the seeds for new research in inventory control and management, this book outlines the evolving role of inventories in business enterprises. It explores how to create inventory management as a tool for continued success regardless of market fluctuations and economic variances.

Written by international contributors, Learning Curves: Theory, Models, and Applications first draws a learning map that shows where learning is involved within organizations, then examines how it can be sustained, perfected, and accelerated. The book reviews empirical findings in the literature in terms of different sources for learning and partial assessments of the steps that make up the actual learning process inside the learning curve. Traditionally, books on learning curves have focused either on cost accounting or production planning and control. In these books, the learning curve has been treated as a forecasting tool. This book synthesizes current research and presents a clear picture of organizational learning curves. It explores how organizations improve other measures of organizational performance including quality, inventory, and productivity, then looks inside the learning curve to determine the actual processes through which organizations learn.