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Ioannis Mallidis
Researcher at Aristotle University of Thessaloniki
Publications - 26
Citations - 1170
Ioannis Mallidis is an academic researcher from Aristotle University of Thessaloniki. The author has contributed to research in topics: Supply chain & Supply chain network. The author has an hindex of 10, co-authored 24 publications receiving 946 citations.
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Operations Research for Green Logistics – An Overview of Aspects, Issues, Contributions and Challenges
TL;DR: This paper presents a review that highlights the contribution of operations research to green logistics, which involves the integration of environmental aspects in logistics, and indicates several areas where environmental aspects could be included in OR models for logistics.
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The impact of greening on supply chain design and cost: a case for a developing region
TL;DR: In this paper, the authors developed a strategic-tactical decision support model to assist managers in evaluating the impact of environmental issues, related to transportation emissions, on the transport geography of a region.
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Operations Research for Green Logistics – An Overview of Aspects, Issues, Contributions and Challenges
TL;DR: In this article, the authors present a review that highlights the contribution of operational research to green logistics, which involves the integration of environmental aspects in LOGistics, focusing on design, planning and control in a supply chain for transportation, inventory of products and facility decisions.
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Design and planning for green global supply chains under periodic review replenishment policies
TL;DR: In this article, the authors quantify the impact of jointly optimizing strategic network design and tactical inventory planning on the cost and CO2 emissions of multi-echelon logistics networks, and show that longer optimized replenishment cycles reduce a node's transportation cost but increase its inventory costs.
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Development of a multi-objective model for the design of sustainable supply chains: the case of perishable food products
TL;DR: A multi-objective (namely cost, social-time and emission minimization) mixed integer linear programming decision-making model for the network design of sustainable supply chains of perishable food products is developed and implemented.