Handbook of Eoq Inventory Problems: Stochastic and Deterministic Models and Applications, Choi Tsan-Ming

Автор: Si Xiao-Sheng, Zhang Zheng-Xin, Hu Chang-Hua
Название: Data-Driven Remaining Useful Life Prognosis Techniques: Stochastic Models, Methods and Applications
ISBN: 3662571730 ISBN-13(EAN): 9783662571736
Издательство: Springer
Рейтинг:
Цена: 23757.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book introduces data-driven remaining useful life prognosis techniques, and shows how to utilize the condition monitoring data to predict the remaining useful life of stochastic degrading systems and to schedule maintenance and logistics plans.

Автор: Marc Salomon
Название: Deterministic Lotsizing Models for Production Planning
ISBN: 3540537015 ISBN-13(EAN): 9783540537014
Издательство: Springer
Рейтинг:
Цена: 12157.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: In this monograph, lotsizing problems and their relevance in practical settings are discussed. An extensive literature review is given and various mathematical model formulations and solution procedures are evaluated. A novel class of models is introduced, allowing simultaneous analysis of lotsizing and production sequencing aspects.

Автор: Tsan-Ming Choi
Название: Handbook of EOQ Inventory Problems
ISBN: 1461476380 ISBN-13(EAN): 9781461476382
Издательство: Springer
Рейтинг:
Цена: 13974.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book explores deterministic and stochastic EOQ-model based problems and applications, presenting technical analyses of single-echelon EOQ model based inventory problems, and applications of the EOQ model for multi-echelon supply chain inventory analysis.

Автор: Quan-Lin Li
Название: Constructive Computation in Stochastic Models with Applications
ISBN: 3642114911 ISBN-13(EAN): 9783642114915
Издательство: Springer
Рейтинг:
Цена: 21661.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Provides an algorithmic framework for numerical computation of many practical stochastic systems. This title summarizes important advances in computational study of stochastic models from several crucial directions, such as stationary computation, transient solution, asymptotic analysis, reward processes, decision processes, sensitivity analysis.