9781332283088 - the stochastic economic lot scheduling problem: heavy traffic analysis of dynamic cyclic policies (classic reprint) de markowitz, david maxwell (3 resultados)
- Tapa blanda
Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de AmericaPBShop.store US
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 25,16
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: 15 disponibles
PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
- Tapa blanda
Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 24,76
Envío por EUR 3,85Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 15 disponibles
PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
- Más imágenes
- Tapa blanda
- Impresión bajo demanda
Librería: Forgotten Books, London, Reino UnidoForgotten Books
Contactar con el vendedorVendedor de 4 estrellasCondición: Nuevo
EUR 15,81
Gastos de envío gratisSe envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Paperback. Condición: New. Print on Demand. This book delves into the complex world of stochastic economic lot scheduling problems, a crucial aspect of manufacturing and inventory management. The author extends existing knowledge by examining two specific variants of the problem: setup costs and setup times, and their impact on…scheduling. The book is groundbreaking in its use of diffusion control problems to approximate the setup cost problem, allowing for an exact solution. For the setup time problem, the author develops structural results and an algorithmic procedure to optimize the scheduling policy. The significance of this book lies in its provision of a deeper understanding of the stochastic economic lot scheduling problem, offering valuable insights for researchers, practitioners, and students in the fields of operations research, supply chain management, and manufacturing. The book's findings serve as a valuable contribution to the optimization of dynamic scheduling policies in real-world production and inventory systems. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book. print-on-demand item.
