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Books > Business & Economics > Business & management > Management & management techniques > Management decision making

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Modelling Empty Container Repositioning Logistics (Hardcover, 1st ed. 2022) Loot Price: R3,888
Discovery Miles 38 880
Modelling Empty Container Repositioning Logistics (Hardcover, 1st ed. 2022): Dong-Ping Song, Jingxin Dong

Modelling Empty Container Repositioning Logistics (Hardcover, 1st ed. 2022)

Dong-Ping Song, Jingxin Dong

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Loot Price R3,888 Discovery Miles 38 880 | Repayment Terms: R364 pm x 12*

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The book takes the inventory control perspective to tackle empty container repositioning logistics problems in regional transportation systems by explicitly considering the features such as demand imbalance over space, dynamic operations over time, uncertainty in demand and transport, and container leasing phenomenon. The book has the following unique features. First, it provides a discussion of broad empty equipment logistics including empty freight vehicle redistribution, empty passenger vehicle redistribution, empty bike repositioning, empty container chassis repositioning, and empty container repositioning (ECR) problems. The similarity and unique characteristics of ECR compared to other empty equipment repositioning problems are explained. Second, we adopt the stochastic dynamic programming approach to tackle the ECR problems, which offers an algorithmic strategy to characterize the optimal policy and captures the sequential decision-making phenomenon in anticipation of uncertainties over time and space. Third, we are able to establish closed-form solutions and structural properties of the optimal ECR policies in relatively simple transportation systems. Such properties can then be utilized to construct threshold-type ECR policies for more complicated transportation systems. In fact, the threshold-type ECR policies resemble the well-known (s, S) and (s, Q) policies in inventory control theory. These policies have the advantages of being decentralized, easy to understand, easy to operate, quick response to random events, and minimal on-line computation and communication. Fourth, several sophisticated optimization techniques such as approximate dynamic programming, simulation-based meta-heuristics, stochastic approximation, perturbation analysis, and ordinal optimization methods are introduced to solve the complex stochastic optimization problems. The book will be of interest to researchers and professionals in logistics, transport, supply chain, and operations research.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Release date: 2022
First published: 2022
Authors: Dong-Ping Song • Jingxin Dong
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 166
Edition: 1st ed. 2022
ISBN-13: 978-3-03-093382-1
Categories: Books > Business & Economics > Business & management > Management & management techniques > Operational research
Books > Business & Economics > Business & management > Management of specific areas > Production & quality control management
Books > Business & Economics > Business & management > Management of specific areas > Purchasing & supply management
Books > Business & Economics > Industry & industrial studies > Transport industries > General
Books > Business & Economics > Business & management > Management & management techniques > Management decision making > General
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LSN: 3-03-093382-2
Barcode: 9783030933821

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