An improved model for large scale inventory routing problem with useful properties

Author(s):  
Jianxiang Li ◽  
Feng Chu ◽  
Haoxun Chen
2008 ◽  
Vol 07 (02) ◽  
pp. 297-301 ◽  
Author(s):  
QINGNING SHEN ◽  
HAOXUN CHEN ◽  
FENG CHU

In this paper, we study an inventory routing problem (IRP) in crude oil transportation with multiple transportation modes including pipeline and tanker. We consider the problem in a rolling horizon environment with multiple periods as well as the lead-time of transportation and propose a new mixed-integer nonlinear programming model (MINLP). Due to the complexity and large scale of the problem, an effective metaheuristic method GRASP is developed to find near-optimal solutions of the model. Numerical test results of the method are provided.


2021 ◽  
Vol 2 (1) ◽  
Author(s):  
Annelieke C. Baller ◽  
Said Dabia ◽  
Guy Desaulniers ◽  
Wout E. H. Dullaert

AbstractIn the Inventory Routing Problem, customer demand is satisfied from inventory which is replenished with capacitated vehicles. The objective is to minimize total routing and inventory holding cost over a time horizon. If the customers are located relatively close to each other, one has the opportunity to satisfy the demand of a customer by inventory stored at another nearby customer. In the optimization of the customer replenishments, this option can be included to lower total costs. This is for example the case for ATMs in urban areas where an ATM-user that wants to withdraw money could be redirected to another ATM. To the best of our knowledge, the possibility of redirecting end-users is new to the operations research literature and has not been implemented, but is being considered, in the industry. We formulate the Inventory Routing Problem with Demand Moves in which demand of a customer can (partially) be satisfied by the inventory of a nearby customer at a service cost depending on the quantity and the distance. We propose a branch-price-and-cut solution approach which is evaluated on problem instances from the literature. Cost improvements over the classical IRP of up to 10% are observed with average savings around 3%.


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