Capítulos de libros de INST.DE MATEMATICA BAHIA BLANCA (I) http://hdl.handle.net/11336/90309 2024-04-08T19:47:11Z 2024-04-08T19:47:11Z Assem, Ibrahim Redondo, Maria Julia Schiffler, Ralf http://hdl.handle.net/11336/196962 2023-05-10T13:44:44Z 2021-01-01T00:00:00Z

A note on sequential walks Assem, Ibrahim; Redondo, Maria Julia; Schiffler, Ralf This short note is devoted to motivate and clarify the notion of sequential walk that has been previously introduced by the authors. We also give some applications of this concept.

2021-01-01T00:00:00Z Rossit, Diego Gabriel Broz, Diego Ricardo Rossit, Daniel Alejandro Frutos, Mariano Tohmé, Fernando Abel http://hdl.handle.net/11336/185757 2023-01-26T13:41:04Z 2015-01-01T00:00:00Z

Una herramienta logística para la localización de contenedores de residuos separados en origen Rossit, Diego Gabriel; Broz, Diego Ricardo; Rossit, Daniel Alejandro; Frutos, Mariano; Tohmé, Fernando Abel La localización de contenedores que permitan la clasificación en origen de los residuos sólidos urbanos es una alternativa para facilitar las tareas de reciclado posteriores y, de esta manera, disminuir el impacto ambiental del sistema de recolección de residuos. En este trabajo, se plantea un modelo multi-objetivo basado en programación lineal entera-mixta para determinar la cantidad necesaria de contenedores de desechos y su ubicación óptima dentro de un área urbana; considerando los objetivos de minimizar los costos de inversión en la red y minimizar la distancia promedio que deben recorrer los usuarios hasta los contenedores. Además de plantear la separación de los desechos en tres tipos de contenedores, se tiene en cuenta que los generadores de residuos están dispuestos a trasladarse hasta una distancia máxima para utilizar los contenedores y que existe una cantidad máxima de reservorios que pueden ubicarse en un punto limpio habilitado. Utilizando un enfoque de programación por compromiso, se encuentran distintas soluciones no dominadas en función de las ponderaciones asignadas a los objetivos, explorando, de esta forma, el frente de soluciones eficientes del problema. Utilizando el software GAMS® se resuelven satisfactoriamente cuatro casos simulados a partir de datos reales, lo cual sugiere la utilidad del modelo presentado como herramienta para la toma de decisiones en el área de residuos sólidos urbanos.

2015-01-01T00:00:00Z Rossit, Daniel Alejandro Sánchez, Marisa Analía Tohmé, Fernando Abel Frutos, Mariano http://hdl.handle.net/11336/169048 2024-03-22T14:12:12Z 2021-01-01T00:00:00Z

Business Ecosystem Approach to Industry 4.0 Rossit, Daniel Alejandro; Sánchez, Marisa Analía; Tohmé, Fernando Abel; Frutos, Mariano Industry 4.0 creates opportunities for defining new ways of creating value. Traditional manufacturing business models should be transformed to embrace its benefits. This transformation has the potential to induce changes not only in the shop-floor operation, but also on the strategies and processes supporting value creation activities. Most of the research focuses on engineering issues but not so much on how manufacturing firms shape their business, redefining their role in the business ecosystem, capturing more value thanks to network effects. The goal of this chapter is to lay the ground lines for a comprehensive business model for manufacturing firms, based on Industry 4.0 technologies. A Factory-as-a-Platform business model is proposed, illustrating it with a concrete example. The description of the platform-based business model embodies the answers to questions about how to make decisions regarding the core interaction among participants, how to grow-up the platform user base, how to monetize network effects, and to what extent should the platform be open.

2021-01-01T00:00:00Z Tohmé, Fernando Abel Rossit, Daniel Alejandro Frutos, Mariano Vásquez, Óscar C. Espinoza Pérez, Andrea Teresa http://hdl.handle.net/11336/163818 2022-08-02T11:16:04Z 2022-01-01T00:00:00Z

Blockchain Production Planning in Mass Personalized Environments Tohmé, Fernando Abel; Rossit, Daniel Alejandro; Frutos, Mariano; Vásquez, Óscar C.; Espinoza Pérez, Andrea Teresa Industry 4.0 has substantially increased the degree of coordination and autonomy of production systems, lending manufacturing systems the ability to respond flexibly to the changing conditions of the market. Additive technologies enhance still further the flexibility of production processes. This increasing flexibility will allow the implementation of business strategies oriented towards satisfying “long tail” demands (mass customization and mass personalization). This poses the question of how to manage efficiently the production of goods that incorporate intangibles, like the preferences of individual customers. This is a novel problem in the field of Service Operations Management (SOM), namely the design of a management system able to elaborate in the aforementioned autonomous and decentralized way the production plans in mass customized/personalized environments in which the goods are individual requests incorporated in physical objects. This system, which draws on the capacities of cyber-physical systems (CPS), will be able to generate individual prototypes based on the specification of customers and, if it responds to their demands, plan the operations for its fabrication. The result will be a data structure autonomously elaborated by the network of CPS. This database must be freely available to all the CPS involved in the production process. This large data structure can be configured as a blockchain. That is, the intervening CPS will sequentially generate the blocks codifying the information needed to elaborate a production plan for a customized/personalized good. This structure will allow the intervention of “expert CPSs” at each step, signing their contributions as well as the hashing of the previous blocks. The use of Big Data methods will provide the grounds for applying Proof-of-Stake tests that will disallow revisiting the previous stages and will induce a chain of blocks capturing, in the end, the entire plan. The blueprint for this architecture is our original contribution to the SOM literature.

2022-01-01T00:00:00Z