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{ "item_title" : "Optimal Inventory Control and Management Techniques", "item_author" : [" Mandeep Mittal", "Nita H. Shah "], "item_description" : "Stock management and control is a critical element to the success and overall financial well-being of an organization. Through the application of innovative practices and technology, businesses are now able to effectively monitor their operations and manage their inventory by evaluating sales patterns and customer preferences. Optimal Inventory Control and Management Techniques explores emergent research in stock management and product control within organizations. Featuring diverse perspectives on the implementation of various optimization techniques, genetic algorithms, and datamining concepts, as well as research on big data applications for inventory management, this publication is a comprehensive reference source for practitioners, educators, and researchers in the fields of logistics, operations management, and retail management.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/1/46/669/888/1466698888_b.jpg", "price_data" : { "retail_price" : "170.00", "online_price" : "170.00", "our_price" : "170.00", "club_price" : "170.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Optimal Inventory Control and Management Techniques|Mandeep Mittal

Optimal Inventory Control and Management Techniques

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Overview

Stock management and control is a critical element to the success and overall financial well-being of an organization. Through the application of innovative practices and technology, businesses are now able to effectively monitor their operations and manage their inventory by evaluating sales patterns and customer preferences. Optimal Inventory Control and Management Techniques explores emergent research in stock management and product control within organizations. Featuring diverse perspectives on the implementation of various optimization techniques, genetic algorithms, and datamining concepts, as well as research on big data applications for inventory management, this publication is a comprehensive reference source for practitioners, educators, and researchers in the fields of logistics, operations management, and retail management.

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Details

  • ISBN-13: 9781466698888
  • ISBN-10: 1466698888
  • Publisher: Business Science Reference
  • Publish Date: March 2016
  • Dimensions: 10 x 7 x 0.94 inches
  • Shipping Weight: 2.1 pounds
  • Page Count: 426

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