industrial mathematics
Strategical models in supply chain design through mathematical optimization.
Thu, 06/08/2017 - 17:39 — admin| Publication Type | Funded research projects |
| Year of Publication | 2016 |
| Authors | F.-Javier Heredia |
| Type of participation | Leader |
| Duration | 11/2016-11/2019 |
| Funding organization | Accenture Technology Labs |
| Partners | Accenture Technology Labs (Silicon Valley), Accenture Analytics Innovation Center (Barcelona) |
| Full time researchers | 2 |
| Budget | 132.532,43€ |
| Project code | I-01507, I-01508 |
| Key Words | research; supply chain; manufacturing; private; project; Accenture |
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Optimización de costos logísticos: Un caso de estudio de una empresa de plásticos
Wed, 03/15/2017 - 14:41 — admin| Publication Type | Proceedings Article |
| Year of Publication | 2016 |
| Authors | Miguel Mata Perez; F.-Javier Heredia; Claudia Morales Carreon |
| Conference Name | Congreso Internacional de Logística y Cadena de Suministro 2016 CILOG2016 |
| Series Title | Sesiones técnicas |
| Volume | 2 |
| Pagination | 38-46 |
| Conference Start Date | 3-7/09/2016 |
| Publisher | Asociación Mexicana de Logística y Cadena de Suministro A.C. |
| Conference Location | Yucatán, México |
| Key Words | research; supply chain; distribution chain; logistics; paper |
| Abstract | Hoy en día los costos logísticos representan una gran oportunidad de mejora para las empresas siendo los costos de transporte y los costos de inventario los más representativos. 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. |
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Optimización de costos logísticos: Un caso de estudio de una empresa de plásticos.
Wed, 03/15/2017 - 14:24 — admin| Publication Type | Conference Paper |
| Year of Publication | 2016 |
| Authors | Claudia Morales Carreon; F.-Javier Heredia; Miguel Mata Perez |
| Conference Name | Congreso Internacional de Logística y Cadena de Suministro 2016 |
| Conference Date | 3-7/09/2016 |
| Conference Location | Yucatán, Máxico |
| Type of Work | contributed |
| Key Words | research; supply chain; distribution chain; logistics |
| Abstract | Hoy en día los costos logísticos representan una gran oportunidad de mejora para las empresas siendo los costos de transporte y los costos de inventario los más representativos. 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. |
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Contribution to CILOG2016, Congreso Internacional de Logística y Cadena de Suministro 2016
Tue, 11/01/2016 - 16:21 — admin
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.
Optimal Supply Chain Strategy through Stochastic Programming
Mon, 07/18/2016 - 19:11 — admin| Publication Type | Tesis de Grau i Màster // BSc and MSc Thesis |
| Year of Publication | 2016 |
| Authors | Daniel Ramon Lumbierres |
| Director | F.-Javier Heredia |
| Tipus de tesi | MSc Thesis |
| Titulació | Master in Statistics and Operations Research |
| Centre | Faculty of Mathematics and Statistics |
| Data defensa | 27/07/2016 |
| Nota // mark | 9.5 Excel·lent MH (A+ with Honors) |
| Key Words | teaching; supply chain; 3D printing; Postponment; stochastic programming; Accenture; MSc Thesis |
| Abstract | In this project, a new two-stage stochastic programming decision model has been developed to assess: (a) the convenience of introducing 3D printing into any generic manufacturing process, both single and multi-product; and (b) the optimal degree of postponement known as the customer order decoupling point (CODP) while also assuming uncertainty in demand for multiple markets. To this end, we propose the formulation of a generic supply chain through an oriented graph that represents all the deployable alternative technologies. These are defined through a set of operations for manufacturing, assembly and distribution, each of which is characterized by a lead time and cost parameters. Based on this graph, we develop a mixed integer two-stage stochastic program that finds the optimal manufacturing technology to meet the demand of each market, the optimal production quantity for each operation, and the optimal CODP for each technology. The results obtained from several case studies in real manufacturing companies are presented and analyzed. The work presented in this master’s thesis is part of an ongoing research project between UPC and Accenture. |
| DOI / handle | http://hdl.handle.net/2117/88818 |
| URL | Click Here |
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Optimal Supply Chain Strategy and Postponement Degree with 3D Printing
Mon, 07/18/2016 - 19:04 — admin| Publication Type | Conference Paper |
| Year of Publication | 2016 |
| Authors | Daniel Ramon Lumbierres; Asier Muguruza; Robert Gimeno Feu; Ping Guo; Mary Hamilton; Kiron Shastry; Sunny Webb; Joaquim Minguella; F.-Javier Heredia |
| Conference Name | 28th European Conference on Operational Research |
| Series Title | Conference Handbook |
| Pagination | 330 |
| Conference Date | 3-6/07/2016 |
| Conference Location | Poznan, Poland |
| Type of Work | contributed presentation. |
| Key Words | research; supply chain; 3D printing; stochastic programming; postponment; modeling; additive manufacturing |
| Abstract | In this contribution we would like to present the results of a research project developed by Accenture and BarcelonaTech aiming at studying the advantages of ultra-postponement with 3D printing using the analytical tools of operational research. In this project a new two-stage stochastic programming decision model has been developed to assess (a) the convenience of the introduction of 3D printing in any generic supply chain and (b) the optimal degree of postponement, the so called Customer Order Decoupling Point (CODP), assuming uncertainty in demand for multiple markets. To this end we propose the formulation of a generic supply chain through an oriented graph that represents all the alternative technologies that can be deployed, defined through a set of operations for manufacturing, assembly and distribution, each one characterized by a lead time and cost parameters. Based on this graph we develop a mixed integer two-stage stochastic program that finds the optimal manufacturing technology to meet the demand of each market, the optimal production quantity for each operation and the optimal CODP for each technology. The results obtained with several case studies from real manufacturing companies are presented and analyzed. |
| URL | Click Here |
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Digitalizing Supply Chain Strategy with 3D Printing
Fri, 10/30/2015 - 16:56 — admin| Publication Type | Funded research projects |
| Year of Publication | 2015 |
| Authors | F.-Javier Heredia; Joaquim Minguella |
| Type of participation | leader |
| Duration | 06/2015-07/2016 |
| Funding organization | Accenture Technology Labs |
| Partners | Accenture Technology Labs (Silicon Valley), Accenture Analytics Innovation Center (Barcelona), Fundació CIM-UPC |
| Budget | 25.000$ |
| Project code | I-01326 |
| Key Words | research; supply chain optimization; manufacturing; 3D printing; project; private; competitive; Accenture |
| Abstract | The aim of this research project is to study the advantages of the ultra-postponement with 3D printing (UP3DP) using the analytical tools of operational research (OR). 3D printing (3DP) is a revolutionary technology that is changing the paradigm of the supply chain management allowing delayed and tailored production under demand. However it is still to determine to which extend producers can take profit of the massive integration of this technology in their supply chain strategy: how to distribute 3DP devices among the different production plants? Which kind of technology is more appropriate? What are the benefits of this integration, both from the point of view of the manufacturer’s profit and client’s experience? We expect to find answers to all these questions with the help of the mathematical optimization models and algorithms of the operational research. |
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Accenture Open Innovation university grant
Fri, 10/30/2015 - 15:02 — adminAs 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.
El almacenamiento de la electricidad
Tue, 07/21/2015 - 19:55 — admin| Publication Type | Conference/School/Seminar attendance |
| Year of Publication | 2015 |
| Authors | F.-Javier Heredia |
| Event Type | Seminar |
| Conference Organiser | Fundación gas Natural fenosa |
| Conference Dates | 17/02/2015 |
| Conference Location | Madrid, Spain |
| Key Words | research; MTM2013-48462-C2-1; electricity storage systems |
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Forecasting and optimization of wind generation in energy markets
Sat, 07/19/2014 - 11:53 — admin| Publication Type | Funded research projects |
| Year of Publication | 2014 |
| Authors | F.- Javier Heredia; Ma. Pilar Muñoz; Josep Anton Sánchez; Maria Dolores Márquez; Eugenio Mijangos; Marlyn Dayana Cuadrado Guevara |
| Type of participation | Principal Investigator (IP) |
| Duration | 01/2014-12/2016 |
| Call | PROGRAMA ESTATAL DE INVESTIGACIÓN, DESARROLLO E INNOVACIÓN ORIENTADA A LOS RETOS DE LA SOCIEDAD |
| Funding organization | Ministry of Economy and Competitivity, Government of Spain |
| Partners | Universitat Politècnica de Catalunya; Universitat Autònoma de Barcelona (Catalonia) Euskal Herriko Unibersitatea (Basc Country) Universidad Pontificia de Comillas (Madrid) Universidade Paulista Júlia de Mesquita Filho (Brasil) North Carolina State University (USA) Electrical Utilities: Iberdrola, Gas Natural - Fenosa. Research centers: Catalonia Institute for Energy Research. |
| Full time researchers | 4,5 |
| Budget | 49.000€ |
| Project code | MTM2013-48462-C2-1-R |
| Key Words | research; MTM2013-48462; forecasting, optimization, wind generation, energy markets; mineco; competitive; public; project; energy |
| Abstract | The coordinated project " Forecasting and Optimization of Wind Generation in Energy Markets" ( FOWGEM) aims at aplying a global approach to the problem of the optimal integration of the wind-enery generation of a generation company in the wholesale electricity market through the combination of statistical forecasting models, mathematical programming models for electricity markets and optimization algorithms. In the framework of the Spanish Strategy for Science and Technology and Innovation 2013-2020 this project contributes fundamentally to challenge 3, " safe, sustainable and clean energy ." Indeed, the forecasting and optimization models and procedures that will be developed in this project, are the necessary mechanisms to allow the competitive and safe integration of wind-energy generation in the multiple-markets based wholesale national energy production system. The FOWGEM project adopts an original and global approach to this problem that combines advanced methodologies in the area of statistics, mathematical modeling of energy markets and theoretical and computatitonal optimization that were developed in several previous projects of the Plan Nacional by the groups of the Universidad Politècnica de Catalunya and the Universidad Pontificia de Comillas . The main objecives of the project are:
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