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Optimal inventory control and management techniques

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Optimal inventory control and management techniques/ Mandeep Mittal and Nita H. Shah, editors.
其他作者:	Mittal, Mandeep,
出版者:	Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, PA 17033, USA) :IGI Global, : [2016],
面頁冊數:	PDFs (406 pages) :illustrations. :
標題:	Inventory control - Mathematical models. -
電子資源:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-4666-9888-8
ISBN:	9781466698895

Optimal inventory control and management techniques
Optimal inventory control and management techniques[electronic resource] /Mandeep Mittal and Nita H. Shah, editors. - Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, PA 17033, USA) :IGI Global,[2016] - PDFs (406 pages) :illustrations.

Includes bibliographical references and index.

Optimal ordering for deteriorating items of fixed-life with quadratic demand and two-level trade credit: optimal ordering ... two-level trade credits / Nita H. Shah, Mrudul Yogeshkumar Jani -- Lot size model for reverse logistics with quadratic demand / Digeshkumar Bipinchandra Shah, Dushyantkumar G. Patel, Nita H. Shah -- Application of genetic algorithms in inventory control / Vinod Kumar Mishra -- Fuzzy classification using self-adaptive algorithm to generate membership function / Hemant Jalota, Manoj Thakur -- Deteriorating inventory model under permissible delay in payments and fuzzy environment / Nita H. Shah, Sarla Pareek, Isha Sangal -- A possibility approach for the single item lot sizing problem with fuzzy parameters: single item lot sizing problem / Manoj Kumar, Jyoti Raman, Priya Singh -- Modeling of an inventory system with variable demands and lead times using a fuzzy approach / Vijay Kumar, Pravin Kumar -- EPQ inventory models under m lambda-measure / Hardik N. Soni, Shivangi Suthar -- Some studies in multi-storage inventory system: using genetic algorithm / Shyamal Kumar Mondal -- Optimization of inventory for optimal replenishment policies and lead-time with time varying demand: a genetic algorithm approach / Kaushik Kumar, Supriyo Roy -- Inventory control and big data / Meghna Sharma, Niharika Garg -- Optimal inventory classification using data mining techniques / Reshu Agarwal, Mandeep Mittal, Sarla Pareek --

Restricted to subscribers or individual electronic text purchasers.

"This book 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"--Provided by publisher.

Mode of access: World Wide Web.

ISBN: 9781466698895

Standard No.: 10.4018/978-1-4666-9888-8doiSubjects--Topical Terms:

884512
Inventory control
--Mathematical models.

LC Class. No.: TS160 / .O68 2016e

Dewey Class. No.: 658.787

Optimal inventory control and management techniques
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245 0 0 $a Optimal inventory control and management techniques $h [electronic resource] / $c Mandeep Mittal and Nita H. Shah, editors.
260 $a Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, PA 17033, USA) : $b IGI Global, $c [2016]
300 $a PDFs (406 pages) : $b illustrations.
504 $a Includes bibliographical references and index.
505 0 $a Optimal ordering for deteriorating items of fixed-life with quadratic demand and two-level trade credit: optimal ordering ... two-level trade credits / Nita H. Shah, Mrudul Yogeshkumar Jani -- Lot size model for reverse logistics with quadratic demand / Digeshkumar Bipinchandra Shah, Dushyantkumar G. Patel, Nita H. Shah -- Application of genetic algorithms in inventory control / Vinod Kumar Mishra -- Fuzzy classification using self-adaptive algorithm to generate membership function / Hemant Jalota, Manoj Thakur -- Deteriorating inventory model under permissible delay in payments and fuzzy environment / Nita H. Shah, Sarla Pareek, Isha Sangal -- A possibility approach for the single item lot sizing problem with fuzzy parameters: single item lot sizing problem / Manoj Kumar, Jyoti Raman, Priya Singh -- Modeling of an inventory system with variable demands and lead times using a fuzzy approach / Vijay Kumar, Pravin Kumar -- EPQ inventory models under m lambda-measure / Hardik N. Soni, Shivangi Suthar -- Some studies in multi-storage inventory system: using genetic algorithm / Shyamal Kumar Mondal -- Optimization of inventory for optimal replenishment policies and lead-time with time varying demand: a genetic algorithm approach / Kaushik Kumar, Supriyo Roy -- Inventory control and big data / Meghna Sharma, Niharika Garg -- Optimal inventory classification using data mining techniques / Reshu Agarwal, Mandeep Mittal, Sarla Pareek --
505 8 $a Customer behavior prediction using K-means clustering algorithm / Juhi Singh, Mandeep Mittal, Sarla Pareek -- Application of simulation techniques: reducing the "givens" and "approximations" in the analysis of stochastic inventory models / Ningombam Sanjib Meitei, Snigdha Banerjee -- Study of industrial model for five-input, five-stage queueing network / Jitendra Kumar, Vikas Shinde -- A gentle introduction to the Bayesian paradigm for some inventory models / Vinti Dhaka [and 3 others].
506 $a Restricted to subscribers or individual electronic text purchasers.
520 3 $a "This book 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"--Provided by publisher.
530 $a Also available in print.
538 $a Mode of access: World Wide Web.
588 $a Description based on title screen (IGI Global, viewed 03/16/2016).
650 0 $a Inventory control $x Mathematical models. $3 884512
700 1 $a Mittal, Mandeep, $d 1978- $e editor. $3 1097480
700 1 $a Shah, Nita H., $e editor. $3 1097481
710 2 $a IGI Global, $e publisher. $3 1057167
856 4 0 $u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-4666-9888-8