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Ilaria Giannoccaro

Researcher at Instituto Politécnico Nacional

Publications -  80
Citations -  2936

Ilaria Giannoccaro is an academic researcher from Instituto Politécnico Nacional. The author has contributed to research in topics: Supply chain & Industrial symbiosis. The author has an hindex of 23, co-authored 73 publications receiving 2339 citations. Previous affiliations of Ilaria Giannoccaro include Polytechnic University of Bari.

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Supply chain coordination by revenue sharing contracts

TL;DR: In this paper, the authors propose a model of an SC contract aimed at coordinating a three-stage supply chain, which is based on the revenue sharing mechanism, which allows the system efficiency to be achieved as well as it could improve the profits of all the SC actors, by tuning the contract parameters.
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A fuzzy echelon approach for inventory management in supply chains

TL;DR: The echelon stock concept is adopted to manage the SC inventory in an integrated manner, whereas fuzzy set theory is used to properly model the uncertainty associated with both market demand and inventory costs.
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Inventory management in supply chains: a reinforcement learning approach

TL;DR: This paper presents an approach to manage inventory decisions at all stages of the supply chain in an integrated manner that allows an inventory order policy to be determined, aimed at optimizing the performance of the whole supply chain.
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Supply chain cooperation in industrial districts: A simulation analysis

TL;DR: This paper explores the topic in a particular context, i.e. the industrial district, which constitutes a specific production model where complex SC networks can be identified and an agent-based model of SC cooperation in IDs has been developed and a simulation analysis carried out.
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Exploring the role of contracts to support the emergence of self-organized industrial symbiosis networks: an agent-based simulation study

TL;DR: In this article, a simple contract scheme designed to foster the formation of stable industrial symbiosis relationships and to guarantee that the industrial symbios is beneficial for all parties involved is proposed, and the results show that the proposed mechanism is a facilitator for establishing symbiotic relationships especially in scenarios characterized by low environmental uncertainty and high turbulence.