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{ "item_title" : "Stochastic Processes and Models in Operations Research", "item_author" : [" Neelamegam Anbazhagan "], "item_description" : "Decision-making is an important task no matter the industry. Operations research, as a discipline, helps alleviate decision-making problems through the extraction of reliable information related to the task at hand in order to come to a viable solution. Integrating stochastic processes into operations research and management can further aid in the decision-making process for industrial and management problems. Stochastic Processes and Models in Operations Research emphasizes mathematical tools and equations relevant for solving complex problems within business and industrial settings. This research-based publication aims to assist scholars, researchers, operations managers, and graduate-level students by providing comprehensive exposure to the concepts, trends, and technologies relevant to stochastic process modeling to solve operations research problems.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/1/52/250/044/1522500448_b.jpg", "price_data" : { "retail_price" : "185.00", "online_price" : "185.00", "our_price" : "185.00", "club_price" : "185.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Stochastic Processes and Models in Operations Research|Neelamegam Anbazhagan

Stochastic Processes and Models in Operations Research

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Overview

Decision-making is an important task no matter the industry. Operations research, as a discipline, helps alleviate decision-making problems through the extraction of reliable information related to the task at hand in order to come to a viable solution. Integrating stochastic processes into operations research and management can further aid in the decision-making process for industrial and management problems. Stochastic Processes and Models in Operations Research emphasizes mathematical tools and equations relevant for solving complex problems within business and industrial settings. This research-based publication aims to assist scholars, researchers, operations managers, and graduate-level students by providing comprehensive exposure to the concepts, trends, and technologies relevant to stochastic process modeling to solve operations research problems.

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Details

  • ISBN-13: 9781522500445
  • ISBN-10: 1522500448
  • Publisher: Business Science Reference
  • Publish Date: March 2016
  • Dimensions: 11 x 8.5 x 0.81 inches
  • Shipping Weight: 2.46 pounds
  • Page Count: 360

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