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Fecha: 27 de noviembre de 2024 12:00

ACTUALIZADO: A metric for Structural Complexity in the Supply Chain with Two Applications

 

Por Diego Ruiz-Hernández, Senior Lecturer en Management Science en la Sheffield University Management School

¡¡NUEVA FECHA!!

INARBE organiza este seminario que se celebrará el día 27 de noviembre en la sala de conferencias del edificio Jerónimo de Ayanz a las 12,00h.

 

ABSTRACT:

Academics and practitioners have been concerned with the problem of supply chain structural complexity. A form of complexity that originates from strategic and operational choices, and is caused by the proliferation of products, markets, and channels. When out of control, these choices generate hard-to-account-for costs and limit the firm's capacity for generating profits. As companies expand their offerings, complexity infiltrates their internal processes, generating inefficiencies, delays and quality losses that can lead to increasing costs, customer dissatisfaction and, ultimately, failure.
This presentation summarises the work conducted, first, to  develop a formal definition for what we have named "supply chain structural complexity"; and then to propose a metric that has both, empirical validity and practical relevance. After this, two different applications of the metric will be presnted. One of them focused on the internal complexity of a research intensive institution; and the second one is an application of the metric for the assessment of the supply based in a NetZero project.

PONENTE:

Diego Ruiz-Hernández es Senior Lecturer en Management Science en la Sheffield University Management School y director del MSc Management. Diego es doctor en Investigación Operativa por la Universitat Pompeu Fabra en  Cataluña. Ha desarrollado su carrera académica en la Universitat Pompeu Fabra, Universidad de Navarra y University College for Financial Studies. Ha sido profesor visitante en las universidades de Edimburgo, Strathclyde y Lancaster en el Reino Unido; en Kedge Business School y NEOMA Business School en Francia; y en Nankai University en China. Su investigación abarca, entre otros, campos en las áreas de programación matemática, optimización combinatoria, colocación discreta y en red, planificación estocástica y asignación dinámica de recursos. Ha publicado artículos científicos en revistas internacionales como Advances in Applied Probability, CAOR, EJOR, IJPE, Transportation Research B, entre otras.