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The Inventory Routing Problem Under Uncertainty
Operations Research, 2023In the inventory routing problem, the supplier acts as a central decision maker who determines the replenishment quantities and also, the delivery times and routes to all retailers. In “Inventory Routing Problem Under Uncertainty”, Cui et al. develop a novel framework for the uncertain inventory routing problem and allow ambiguity in the probability ...
Zheng Cui +3 more
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Combinatorial Heuristics for Inventory Routing Problems
INFORMS Journal on Computing, 2022We consider the deterministic inventory routing problem over a discrete finite time horizon. Given clients on a metric, each with daily demands that must be delivered from a depot and holding costs over the planning horizon, an optimal solution selects a set of daily tours through a subset of clients to deliver all demands before they are due and ...
Ziye Tang, Yang Jiao, R. Ravi
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Closed-loop inventory routing problem for perishable food with returnable transport items selection
International Journal of Production Research, 2023Urged by the necessity to establish sustainable supply chains (SCs), this study focuses on exploring the closed-loop inventory routing problem (CIRP) for perishable food packed by multi-type returnable transport items (RTIs).
Yipei Zhang +3 more
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Inventory Routing Problem under Uncertainty
SSRN Electronic Journal, 2021We study an uncertain inventory routing problem with a finite horizon. The supplier acts as a central planner who determines replenishment quantities and also the times and routes for delivery to all retailers. We allow ambiguity in the probability distribution of each retailer's uncertain demand.
Zheng Cui +3 more
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The Fixed-Partition Policy Inventory Routing Problem
Transportation Science, 2021In this paper, we formally introduce a variant of the inventory routing problem (IRP) that we call the fixed-partition policy IRP (FPP-IRP). In contrast to the classical IRP in which delivery routes are arbitrary, the FPP-IRP partitions customers into mutually exclusive clusters that are fixed throughout the optimization horizon, and distribution is ...
Ali Diabat +2 more
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Transportation Research Record: Journal of the Transportation Research Board, 2013
This paper extends the study of the inventory routing problem with slack maximization (IRPSM), which addresses the distribution of relief supplies in response to a sudden emergency. Compared with the classical routing problem, the objective of IRPSM is to maximize the slack in inventory, defined as the difference between the arrival time of new ...
Xianfeng Yang, Lei Feng
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This paper extends the study of the inventory routing problem with slack maximization (IRPSM), which addresses the distribution of relief supplies in response to a sudden emergency. Compared with the classical routing problem, the objective of IRPSM is to maximize the slack in inventory, defined as the difference between the arrival time of new ...
Xianfeng Yang, Lei Feng
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Dynamic routing-and-inventory problems: a review
Transportation Research Part A: Policy and Practice, 1998TRANSPORTATIONS ...
FAVARETTO, Daniela +3 more
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RFID-enabled inventory routing problems
International Journal of Manufacturing Technology and Management, 2007In this paper, we provide a methodology for dynamic control of Radio Frequency Identification- (RFID-) enabled Inventory Routing Problems (IRP), where a set of locations is served by a single distribution centre using a Vendor-Managed Inventory (VMI) approach.
Shrikant Jarugumilli, Scott E. Grasman
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