A new contribution on incorporating additive manufacturing to product supply chains

 A new result of the research project Digitalizing Supply Chain Strategy with 3D Printing with Accenture TechLabs and Center for Analytics has been presented in the Manufacturing Engineering Society International Conference 2017 , MESIC 2017. The study compares different possible production strategies for a product (via conventional technologies and Additive Manufacturing) and assesses the degree of postponement that it would be recommended in order to meet a certain demand distribution. The problem solving is calculated by a program containing a stochastic mathematical model which incorporates extensive information on costs and lead times for the required manufacturing operations. This study was published in Procedia Manufacturing.  

BSc Thesis on tight MILP formulation of the unit committment problem

 L'alumne del grau de matemàtiques de l'FME Jordan Escandell ha llegit el treball fi de grau Caracterització de Formulacions Fortes del Problema Unit Commitment. Aquest projecte abordava la caracterització de formulacions fortes del problema Unit Commitment a partir de l'estudi de les diferents desigualtats proposades pels diferents autors així com la seva adaptació i possible millora en la modelització de certs problemes reals de mercats elèctrics. Els models d'optimització matemàtica obtinguts s'han implementat computacionalment i aplicat a la resolució de problemes reals d'oferta òptima a merctas elèctrics.

A multistage stochastic programming model for the optimal management of wind-BESS virtual power plants

 A new multi-stage stochastic programming model for the optimal bid of a wind producer both in spot and
ancillary services electricity markets has been presented inthe conference WindFarms 2017. We analyse the effect of the BESS and the
reserve market to the optimal bidding strategies of the VPP with real data
from the Iberian Electricity Market Operator (OMIE) and wind production data from Gas Natual - Fenosa. The complete presentation can be downloaded from here

Research project: Strategical models in supply chain design through mathematical optimization.

 A new three-years research project hs been settled with Accenture Technology Labs (Silicon Valley) and Accenture Analytics Innovation Center (Barcelona). The aim of the project Strategical models in supply chain design through mathematical optimization  is the optimal design of supply chains that includes the speculation-postponement paradigm though stochastic programming, recovering some of the contributions of the former previous collaboration during the project Digitalizing Supply Chain Strategy with 3D Printing.

Contribution to CILOG2016, Congreso Internacional de Logística y Cadena de Suministro 2016

 El estudio Optimización de costos logísticos: Un caso de estudio de una empresa de plásticos se presentó el pasado octubre 2016 en el Congreso Internacional de Logística y Cadena de Suministro 2016 por Claudia Morales Carreón. El trabajo fué realizado durante la estancia de Claudia en el grupo de investigación GNOM. En este trabajo se presenta un estudio de una empresa ubicada en la región, la cual incurre actualmente en altos costos logísticos en su proceso de importación de materia prima desde Asia hasta su filial en Monterrey, N.L. Por medio de un modelo matemático entero mixto se consigue minimizar los costos antes mencionados. El modelo tiene las siguientes características: es de ubicación de facilidades en cuatro etapas, multiproducto, multiperiodo y multitransporte.

MSc Thesis on distributed battery energy storage systems in energy retail markets

 Distributed BESS in a neighborhood. Image from Mr. M. Sisovs's MSc Thesis report.Last September 16 2016 Mr Maksims Sisovs, student of the "KIC InnoEnergy" Master of Science in Smart Electrical Networks and Systems defended their MSc Thesis A Study on Feasibility of the Distributed Battery Energy Storage Systems in Spanish Retail Electricity Market. This project was proposed by Minsait, an advanced technological consultancy from the Indra's group, and developed under my academical supervision. The objective of the study was to analyse the business opportunity of distributed battery energy storage systems deployed in residential neighbourhoods (LiIon batteries, both static devices and mobile through electrical vehicle). The methodology applied was based on the adaptation of the mathematical optimization model presented in the paper Economic analysis of battery electric storage systems operating in electricity markets (Heredia et al. 2015) to the data of the smart meters deployed by several electrical utilities (more than 20 millions of consumption readings). This work deserved the maximum grade, A+ with honours.

MSc Thesis on Supply chain optimization with 3D printing

 Last June 2016 Mr. Daniel Ramon Lumbierres presented the MSc Thesis  Optimal Supply Chain Strategy through Stochastic Programming in the Master of Statistics and Operations Research  (MESIO). This thesis is the result of the collaboration of Mr. Ramon in the funded research project  Digitalizing Supply Chain Strategy with 3D Printing granted by Accenture Technology Labs and was advised by prof. F.-Javier Heredia. A summary of this MSc Thesis has been presented in the 28th European Conference on Operational Research. The MSc Thesis Comission of the MESIO awarded that thesis with the highest grade "Matrícula de Honor" (A with Honours).

Accenture Open Innovation university grant

As a part of the Accenture Open Innovation  initiative,  Accenture - Tech Labs has awarded 11 research grants to top universities  around the world to significantly broaden and deepen the relationships between Accenture’s technology research and development (R&D) groups and leading university researchers.

The project "Digitalizing Supply Chain Strategy with 3D Printing", lead by professor F.-Javier Heredia (GNOM-UPC) and professor Joaquim Minguella, (Fundació CIM-UPC), was one of 11 awarded projects. This research project aims at studying the advantages of ultra-postponement with 3D printing by using analytical tools and mathematical optimization models and algorithms, exploring how to transform supply chain management by allowing delayed and tailored production in the location where demand occurs. The project will be developped in collaboration with the Accenture Analytics Innovation Center (Barcelona) and Accenture Technology Labs (Silicon Valley). In the image, the attendants to the first in person meeting, held at the Faculty of Matematics and Statistics  and Fundació CIM, with representants from Accenture Analytics, Accenture Technology Labs, GNOM-UPC and FCIM-UPC.

Contribution to the 27th European Conference on Operational Research


EURO2015The 27th European Conference on Operational Research  was held in Glasgow, hosted by the University of Strathclyde, during 12-15 July 2015. I participated in the sessions with the following two works:

The first one, Parallel Proximal Bundle Methods for Stochastic Electricity Market Problems  in collaboration with Mr. Antonio Rengifo, a former student of our Master in Statistics and Operations Research.

The second one, entitled A multi-objective approach to infrastructure planning in the early stages of EV introduction  in collaboration with the Energy Economy group of the Catalonia Institute for Energy Reseach.

In the photography, me (right) with two of the coauthors of the last paper, Dr. Cristina Corchero (left) and Ms. Andina Brown (center).
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