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Transshipment through crossdocks with inventory and time windows

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TLDR
The success in implementing push-pull strategies, when firms change from one strategy to another in managing the chain and where time lines are crucial, is dependent on adaptive transshipment scheduling.
Abstract
The supply chain between manufacturers and retailers always includes transshipments through a network of locations. A major challenge in making demand meet supply has been to coordinate transshipment activities across the chain aimed at reducing costs and increasing service levels in the face of a range of factors, including demand fluctuations, short lead times, warehouse limitations and transportation and inventory costs. The success in implementing push-pull strategies, when firms change from one strategy to another in managing the chain and where time lines are crucial, is dependent on adaptive transshipment scheduling. Yet again, in transshipment through crossdocks, where just-in-time objectives prevail, precise scheduling between suppliers, crossdocks and customers is required to avoid inventory backups or delays.

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Journal ArticleDOI

Modeling Industrial Lot Sizing Problems: A Review

TL;DR: In this article, the authors give an overview of recent developments in the field of modeling deterministic single-level dynamic lot sizing problems, focusing on the modeling of various industrial extensions and not on the solution approaches.
Journal ArticleDOI

Cross-docking: State of the art

TL;DR: An extensive review of the existing literature about cross-docking is presented and several opportunities to improve and extend the current research are indicated.
Journal ArticleDOI

Cross Dock Scheduling: Classification, Literature Review and Research Agenda

TL;DR: A classification of deterministic truck scheduling, which represents a yet unexplored class of truck scheduling problems which is highly relevant in real-world distribution networks and already reviewed and identified, is introduced.
Journal ArticleDOI

Truck dock assignment problem with operational time constraint within crossdocks

TL;DR: It is found that as the problem size grows, the IP model size quickly expands to an extent that the ILOG CPLEX Solver can hardly manage, and two meta-heuristic approaches, Tabu Search (TS) and genetic algorithm (GA) are proposed.
References
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Book

Network Flows

TL;DR: The question the authors are trying to ask is: how many units of water can they send from the source to the sink per unit of time?
Journal ArticleDOI

Stock Replenishment and Shipment Scheduling for Vendor-Managed Inventory Systems

TL;DR: In this paper, an analytical model for coordinating inventory and transportation decisions in vendor-managed inventory (VMI) systems is presented, where a vendor realizes a sequence of random demands from a group of retailers located in a given geographical region.
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