Results 81 to 90 of about 46,055 (293)

A Location-Inventory-Routing Problem in Forward and Reverse Logistics Network Design

Discrete Dynamics in Nature and Society, 2016
We study a new problem of location-inventory-routing in forward and reverse logistic (LIRP-FRL) network design, which simultaneously integrates the location decisions of distribution centers (DCs), the inventory policies of opened DCs, and the vehicle ...
Qunli Yuchi, Zhengwen He, Zhen Yang, Nengmin Wang   +3 more
doaj   +1 more source

Research Directions in Information Systems for Humanitarian Logistics [PDF]

, 2011
This article systematically reviews the literature on using IT (Information Technology) in humanitarian logistics focusing on disaster relief operations. We first discuss problems in humanitarian relief logistics.
Hillegersberg, Jos van, Sangiamkul, Esther   +1 more
core   +1 more source

Large scale stochastic inventory routing problems with split delivery and service level constraints [PDF]

, 2010
A stochastic inventory routing problem (SIRP) is typically the combination of stochastic inventory control problems and NP-hard vehicle routing problems, which determines delivery volumes to the customers that the depot serves in each period, and vehicle
A. Federgruen, A. J. Kleywegt, A. J. Kleywegt, A. P. Tchangani, C. Archetti, C. Archetti, Chengbin Chu, D. Adelman, F. Fumero, Feng Chu, H. Chen, H. L. Li, Haoxun Chen, J. M. Belenguer, L. A. Wolsey, L. Ciupala, L. M. Hvattum, L. Schwarz, M. Dror, M. Dror, M. Dror, M. Koksalan, M. Patriksson, M. Z. Jin, MA Lejeune, P. Jaillet, P. Trudeau, S. Chen, W. J. Bell, Y. Peng, Y. Yu, Y. Yu, Y. Yu, Y. Yu, Yugang Yu   +34 more
core   +7 more sources

Deep Learning Prediction of Surface Roughness in Multi‐Stage Microneedle Fabrication: A Long Short‐Term Memory‐Recurrent Neural Network Approach

Advanced Intelligent Discovery, EarlyView.
A sequential deep learning framework is developed to model surface roughness progression in multi‐stage microneedle fabrication. Using real‐world experimental data from 3D printing, molding, and casting stages, an long short‐term memory‐based recurrent neural network captures the cumulative influence of geometric parameters and intermediate outputs ...
Abdollah Ahmadpour, Sara Soltanabadi Farshi, Tuanna Ozcan, Amir Mohammad Ketabchi, Alper Kiraz, Savas Tasoglu   +5 more
wiley   +1 more source

FastCat: Autonomous Discovery of Multielement Layered Double Hydroxide Alloy Catalysts for Alkaline Oxygen Evolution Reaction

Advanced Intelligent Discovery, EarlyView.
A machine learning‐guided self‐driving laboratory screened over 500 nickel‐based layered double‐hydroxide catalysts for alkaline oxygen evolution. Out of the eight metals, the robot uncovered a quaternary Ni–Fe–Cr–Co catalysts requiring only 231 mV overpotential to reach 20 mA cm−2.
Nis Fisker‐Bødker, Enzo Raffaele Moretti, Jin Hyun Chang, Tejs Vegge   +3 more
wiley   +1 more source

Aplicacion de la Metaheuristica Harmony Search para resolver el Inventory Routing Problem

Revista Tecnológica, 2012
En el presente trabajo se presenta la teoría básica de la metaheurística Harmony Search, la cual basa su filosofía de optimización en el proceso de aprendizaje utilizado los músicos al desarrollar una nueva melodía musical.
Ramiro Javier Saltos Atiencia, Ricardo Aceves Garcia   +1 more
doaj   +4 more sources

Bi-Objective Adaptive Large Neighborhood Search Algorithm for the Healthcare Waste Periodic Location Inventory Routing Problem. [PDF]

Arab J Sci Eng, 2022
Aydemir-Karadag A.
europepmc   +1 more source

A heuristic approach for an inventory routing problem with backorder decisions [PDF]

A multi-period inventory-routing problem is considered where a vendor serves multiple geographically dispersed customers who receive units of a single product from a depot, with adequate supply, using a capacitated vehicle.
Sofianopoulou, Stella
core  

Autonomous AI‐Driven Design for Skin Product Formulations

Advanced Intelligent Discovery, EarlyView.
This review presents a comprehensive closed‐loop framework for autonomous skin product formulation design. By integrating artificial intelligence‐driven experiment selection with automated multi‐tiered assays, the approach shifts development from trial‐and‐error to intelligent optimisation.
Yu Zhang, Yongrui Xiao, Chunlin Chen, Dimitrios Tsaoulidis, Kai Yang, Tao Chen   +5 more
wiley   +1 more source

Practical inventory routing: A problem definition and an optimization method

, 2011
The global objective of this work is to provide practical optimization methods to companies involved in inventory routing problems, taking into account this new type of data. Also, companies are sometimes not able to deal with changing plans every period
Geiger, Martin Josef, Sevaux, Marc
core   +1 more source