A system dynamics model for dynamic capacity planning of remanufacturing in closed-loop supply chains

DOI10.1016/J.COR.2005.03.005zbMath1113.90055OpenAlexW2034612321MaRDI QIDQ850285

Patroklos Georgiadis, Dimitrios Vlachos, Eleftherios Iakovou

Publication date: 15 November 2006

Published in: Computers \& Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cor.2005.03.005

zbMATH Keywords

system dynamicsremanufacturingcapacity planningreverse supply chains

Mathematics Subject Classification ID

Production models (90B30)

Related Items (12)

Reverse logistics and closed-loop supply chain: a comprehensive review to explore the future ⋮ Complexity analysis of dynamic noncooperative game models for closed-loop supply chain with product recovery ⋮ Planning of complex supply chains: a performance comparison of three meta-heuristic algorithms ⋮ A System Dynamics Model for Modern AirLand Battle ⋮ A system dynamics model of financial flow in supply chains: a case study ⋮ Dynamics analysis on competition between manufacturing and remanufacturing in context of government subsidies ⋮ Complexity analysis of dynamic cooperative game models for supply chain with the remanufactured products ⋮ Markov chain modeling and forecasting of product returns in remanufacturing based on stock mean-age ⋮ On stabilizing volatile product returns ⋮ OPTIMAL LOT-SIZING DECISIONS WITH INTEGRATED PURCHASING, MANUFACTURING AND ASSEMBLING FOR REMANUFACTURING SYSTEMS ⋮ The impact of two-product joint lifecycles on capacity planning of remanufacturing networks ⋮ A hybrid system dynamics and two-stage mixed integer stochastic programming approach for closed-loop battery supply chain optimization

Uses Software

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Cites Work

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• Quantitative models for reverse logistics: A review
• Applying environmental criteria to supplier assessment: A study in the application of the analytical hierarchy process
• The effect of environmental parameters on product recovery
• System dynamics modeling and simulation of a particular food supply chain
• Quantitative models for reverse logistics

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