Santiago Nieto-Isaza
@uninorte.edu.co
Profesor Departamento de Ingeniería Industrial
Universidad del Norte
RESEARCH INTERESTS
Urban logistics
Network design
Logistics and supply chain management
Stochastic modeling and optimization
Machine learning
Artificial intelligence
8
Scopus Publications
Scopus Publications
- The value of stochastic crowd resources and strategic location of mini-depots for last-mile delivery: A Benders decomposition approach
Santiago Nieto-Isaza, Pirmin Fontaine, and Stefan Minner
Elsevier BV - A Deep Reinforcement Learning Approach for Optimal Replenishment Policy in A Vendor Managed Inventory Setting for Semiconductors
Muhammad Tariq Afridi, Santiago Nieto-Isaza, Hans Ehm, Thomas Ponsignon, and Abdelgafar Hamed
IEEE
Vendor Managed Inventory (VMI) is a mainstream supply chain collaboration model. Measurement approaches defining minimum and maximum inventory levels for avoiding product shortages and over-stocking are rampant. No approach undertakes the responsibility aspect concerning inventory level status, especially in semiconductor industry which is confronted with short product life cycles, long process times, and volatile demand patterns. In this work, a root-cause enabling VMI performance measurement approach to assign responsibilities for poor performance is undertaken. Additionally, a solution methodology based on reinforcement learning is proposed for determining optimal replenishment policy in a VMI setting. Using a simulation model, different demand scenarios are generated based on real data from Infineon Technologies AG and compared on the basis of key performance indicators. Results obtained by the proposed method show improved performance than the current replenishment decisions of the company. - Simulation-optimization approach for the stochastic location-routing problem
N Herazo-Padilla, J R Montoya-Torres, S Nieto Isaza, and J Alvarado-Valencia
Informa UK Limited - A contrast between DEMATEL-ANP and ANP methods for six sigma project selection: A case study in healthcare industry
Miguel A Ortíz, Heriberto A Felizzola, and Santiago Nieto Isaza
Springer Science and Business Media LLC - Colombia: Public–Private Partnership to Support Decentralized Education
- A literature review on the vehicle routing problem with multiple depots
Jairo R. Montoya-Torres, Julián López Franco, Santiago Nieto Isaza, Heriberto Felizzola Jiménez, and Nilson Herazo-Padilla
Elsevier BV - Comparative analysis between ANP and ANP-DEMATEL for six sigma project selection process in a healthcare provider
- Coupling ant colony optimization and discrete-event simulation to solve a stochastic location-routing problem
Nilson Herazo-Padilla, Jairo R. Montoya-Torres, Andres Munoz-Villamizar, Santiago Nieto Isaza, and Luis Ramirez Polo
IEEE
This paper considers the stochastic version of the location-routing problem (SLRP) in which transportation cost and vehicle travel speeds are both stochastic. A hybrid solution procedure based on Ant Colony Optimization (ACO) and Discrete-Event Simulation (DES) is proposed. After using a sequential heuristic algorithm to solve the location subproblem, ACO is employed to solve the corresponding vehicle routing problem. DES is finally used to evaluate such vehicle routes in terms of their impact on the expected total costs of location and transport to customers. The approach is tested using random-generated data sets. because there are no previous works in literature that considers the same stochastic location-routing problem, the procedure is compared against the deterministic version of the problem. Results show that the proposed approach is very efficient and effective.