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The Fixed-Partition Policy Inventory Routing Problem

Transportation Science, 2021
In 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
openaire   +2 more sources

Profit Maximization in Inventory Routing Problems

2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), 2018
The inventory routing problem (IRP) deals with the transportation of one product from a producer to multiple consumers, which have given demands and inventory capacities, over a discrete time horizon. The traditional goal of the IRP is to minimize the combination of inventory and transportation costs, while avoiding stock outs at customers.
Anna Zaitseva   +2 more
openaire   +1 more source

A partition approach to the inventory/routing problem

European Journal of Operational Research, 2007
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Qiu-Hong Zhao   +2 more
openaire   +2 more sources

The Inventory Routing Problem

1998
The role of logistics management is changing. Many companies are realizing that value for a customer can, in part, be created through logistics management (Langley and Holcomb, 1996). Customer value can be created through product availability, timeliness and consistency of delivery, ease of placing orders, and other elements of logistics service ...
Ann Campbell   +3 more
openaire   +1 more source

Consistent Inventory Routing with Split Deliveries

2018
In this paper, we present a matheuristic solution technique to solve a real world problem related to the distribution and inventory management of beer from breweries to restaurants and bars. Consistency in delivery times is an important requirement for this application.
Alarcon Ortega, Emilio Jose   +3 more
openaire   +2 more sources

An Efficient Matheuristic for the Inventory Routing Problem

2020
We consider the general multi-vehicle and multi-period Inventory Routing Problem (IRP). A challenging aspect of solving IRPs is how to capture the relationship among the periods where the routing takes place. Once the routes are defined, computing the optimal inventory at each customer on each period amounts to solving a network flow problem.
Pedro Diniz   +2 more
openaire   +1 more source

Heuristics for dynamic and stochastic inventory-routing

Computers & Operations Research, 2014
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Leandro C. Coelho   +2 more
openaire   +2 more sources

Evolutionary Approach in Inventory Routing Problem

2013
Most companies recognize the need for the integration and coordination of various components in logistics and supply chain management as an important factor. This paper presents an evolutionary approach to modeling and optimization on inventory routing problem of inventory management, logistics distribution and supply chain management.
Dragan Simic, Svetlana Simic
openaire   +1 more source

Cyclic Delivery Schedules for an Inventory Routing Problem

Transportation Science, 2015
We consider an inventory routing problem where a common vendor is responsible for replenishing the inventories of several customers over a perpetual time horizon. The objective of the vendor is to minimize the total cost of transportation of a single product from a single depot to a set of customers with deterministic and stationary consumption rates ...
Ali Ekici   +2 more
openaire   +2 more sources

Allocating Cost of Service to Customers in Inventory Routing

Operations Research, 2013
Vendor-managed inventory (VMI) replenishment is a collaboration between a supplier and its customers, where the supplier is responsible for managing the customers' inventory levels. In the VMI setting we consider, the supplier exploits synergies between customers, e.g., their locations, usage rates, and storage capacities, to reduce distribution costs.
Okan Örsan Özener   +2 more
openaire   +2 more sources

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