scholarly journals Maritime inventory routing problem with multiple time windows

2017 ◽  
Vol 13 (5) ◽  
pp. 1-27
Author(s):  
Nurhadi Siswanto ◽  
◽  
Stefanus Eko Wiratno ◽  
Ahmad Rusdiansyah ◽  
Ruhul Sarker ◽  
...  
Keyword(s):  
Time Windows ◽  
Multiple Time ◽  
Inventory Routing ◽  
Routing Problem ◽  
Inventory Routing Problem ◽  
Multiple Time Windows ◽  
Maritime Inventory Routing

A column generation approach for an inventory routing problem with fuzzy time windows

2020 ◽  
Author(s):  
Amir Saeed Nikkhah Qamsari ◽  
Seyyed-Mahdi Hosseini-Motlagh ◽  
Seyed Farid Ghannadpour
Keyword(s):  
Column Generation ◽  
Time Windows ◽  
Inventory Routing ◽  
Routing Problem ◽  
Inventory Routing Problem

An augmented Tabu search algorithm for the green inventory-routing problem with time windows

2021 ◽  
Vol 60 ◽  
pp. 100802
Author(s):  
Mahdi Alinaghian ◽  
Erfan Babaee Tirkolaee ◽  
Zahra Kaviani Dezaki ◽  
Seyed Reza Hejazi ◽  
Weiping Ding
Keyword(s):  
Tabu Search ◽  
Search Algorithm ◽  
Time Windows ◽  
Tabu Search Algorithm ◽  
Inventory Routing ◽  
Routing Problem ◽  
Inventory Routing Problem

scholarly journals Robust Optimization for a Maritime Inventory Routing Problem

2018 ◽  
Vol 52 (3) ◽  
pp. 509-525 ◽  
Author(s):  
Agostinho Agra ◽  
Marielle Christiansen ◽  
Lars Magnus Hvattum ◽  
Filipe Rodrigues
Keyword(s):  
Robust Optimization ◽  
Inventory Routing ◽  
Routing Problem ◽  
Inventory Routing Problem ◽  
Maritime Inventory Routing

A New Formulation Based on Customer Delivery Patterns for a Maritime Inventory Routing Problem

2015 ◽  
Vol 49 (2) ◽  
pp. 384-401 ◽  
Author(s):  
Jørgen Glomvik Rakke ◽  
Henrik Andersson ◽  
Marielle Christiansen ◽  
Guy Desaulniers
Keyword(s):  
Inventory Routing ◽  
Routing Problem ◽  
Inventory Routing Problem ◽  
New Formulation ◽  
Maritime Inventory Routing

MIRPLib – A library of maritime inventory routing problem instances: Survey, core model, and benchmark results

2014 ◽  
Vol 235 (2) ◽  
pp. 350-366 ◽  
Author(s):  
Dimitri J. Papageorgiou ◽  
George L. Nemhauser ◽  
Joel Sokol ◽  
Myun-Seok Cheon ◽  
Ahmet B. Keha
Keyword(s):  
Core Model ◽  
Inventory Routing ◽  
Routing Problem ◽  
Inventory Routing Problem ◽  
Problem Instances ◽  
Maritime Inventory Routing

Multi-Product Inventory-Routing Problem in the Supermarket Distribution Industry

2015 ◽  
Vol 11 (6) ◽  
pp. 747-766 ◽  
Author(s):  
Demetrio Laganà ◽  
Francesco Longo ◽  
Francesco Santoro
Keyword(s):  
Time Horizon ◽  
Soft Drink ◽  
Time Windows ◽  
Second Phase ◽  
Inventory Routing ◽  
Inventory Policies ◽  
Routing Problem ◽  
Delivery Strategy ◽  
Inventory Routing Problem ◽  
Varying Demand

Abstract The Inventory Routing Problem (IRP) is an integrated logistic problem arising in several industries (e.g. petrochemical, grocery, soft drink and automotive). A vendor decides the optimal delivery strategy for a set of customers, taking into account their inventory policies and avoiding product stock-out in a finite and discrete time horizon. Delivery strategy includes the time and size of deliveries in order to minimize the total delivery cost. Most commonly studied are IRP real cases where a single homogeneous product with deterministic but time-varying demand is delivered over a finite time horizon. This paper is focused on an efficient methodology for industrial problems where a vendor resupplies a set of customers of heterogeneous products (as in the supermarket distribution industry). In this context, the paper reports on an effort facing the inventory routing problem for multi-category products per customer in conjunction with different inventory policies per category. The paper is motivated by real applications arising in the food engineering field. For instance, industries dealing with food’s distribution to stores located in a given geographic area. The planning strategy is formulated as a linear model. The core of the decision problem consists in determining both the delivery route and the corresponding day of activation along the time horizon. A decomposition of the problem into two phases has been proposed. A suitable penalty cost modeled by simulating the possibility of having an early or delayed product delivery on the delivery day returned from the inventory model (e.g. Economic Order Quantity) is the key feature of the first phase. In the second phase, deliveries are scheduled on a daily basis by taking into account the time windows associated to each customer. This is accomplished by using a constructive heuristic algorithm for the vehicle routing problem with time windows. Computational results on some realistic instances are presented and discussed.

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