D
David Peidro
Researcher at Polytechnic University of Valencia
Publications - 45
Citations - 1902
David Peidro is an academic researcher from Polytechnic University of Valencia. The author has contributed to research in topics: Supply chain & Fuzzy logic. The author has an hindex of 16, co-authored 42 publications receiving 1716 citations.
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Mathematical programming models for supply chain production and transport planning
TL;DR: A taxonomy framework based on supply chain structure, decision level, modeling approach, purpose, shared information, limitations, novelty and application is proposed to provide readers with a starting point for mathematical modeling problems in supply chain production and transport planning.
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Quantitative models for supply chain planning under uncertainty: a review
TL;DR: A review of the literature related to supply chain planning methods under uncertainty is presented in this paper, where the main objective is to provide the reader with a starting point for modelling supply chain under uncertainty applying quantitative approaches.
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Fuzzy optimization for supply chain planning under supply, demand and process uncertainties
TL;DR: A fuzzy mathematical programming model for supply chain planning which considers supply, demand and process uncertainties, formulated as a fuzzy mixed-integer linear programming model where data are ill-known and modelled by triangular fuzzy numbers is proposed.
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A fuzzy linear programming based approach for tactical supply chain planning in an uncertainty environment
TL;DR: The fuzzy model provides the decision maker (DM) with alternative decision plans with different degrees of satisfaction to centralize multi-node decisions simultaneously to achieve the best use of the available resources along the time horizon so that customer demands are met at a minimum cost.
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The effectiveness of a fuzzy mathematical programming approach for supply chain production planning with fuzzy demand
TL;DR: A fuzzy optimization model that takes into account the lack of knowledge in market demand is developed and makes it possible to model the epistemic uncertainty in demand that could be present in the supply chain production planning problems as triangular fuzzy numbers.