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The Grass Giant: Wenze Wang The Grass Giant
Wenze Wang; Illustrated by Lijun Ma
R340 Discovery Miles 3 400 Ships in 12 - 17 working days

The rumble of Mrs. Smith’s lawnmower sends the little grass people in her lawn running in search of a new life without human constraint and order. Holding hands, the little grass people transform into an enormous grass giant. The gentle giant must rush through city streets, weaving between buildings and hiding under bridges, until it reaches a faraway forest. Here, the grass people can truly be themselves and let their green locks grow in this quirky and imaginative tale with gorgeously detailed color pencil illustrations.

Inventory Management with Alternative Delivery Times (Paperback, 1st ed. 2017): Xiaoying Liang, Lijun Ma, Haifeng Wang, Houmin... Inventory Management with Alternative Delivery Times (Paperback, 1st ed. 2017)
Xiaoying Liang, Lijun Ma, Haifeng Wang, Houmin Yan
R1,762 Discovery Miles 17 620 Ships in 10 - 15 working days

This book develops a modeling framework to analyze the problem of inventory management with alternative delivery times. The general context considered here is that a seller replenishes its inventory in fixed intervals and, between replenishments, allocates the limited inventory to satisfy customers who are both price and delivery-time sensitive. On the demand side, customers have heterogeneous delivery-time requirements and choose either spot or late delivery. This theoretical modeling captures the essence of real-world business practices such as the delivery time market segmentation strategy adopted by automobile dealerships in China and many other similar examples. The book focuses on the seller's optimal inventory replenishment and demand fulfillment policies, and our results provide managerial insights into the merits of flexible delivery-time options. Similar applications such as the group-buying mechanism are also examined. The main mathematical tool used in theoretical analysis is dynamic programming. This book is written for students, researchers, and practitioners in the areas of operations management and industrial engineering who are interested in understanding the rationale of flexible delivery times and designing successful applications.

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