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The paper introduces new multi-period modelling and design methodology for dual-mode heat pumps using natural fluids.
Soleimani and Kannan (2015) developed a deterministic multi-echelon, multi-product, multi-period model for a closed-loop SC network and presented a new hybrid particle swarm optimization and genetic algorithm to solve various kinds of problems.
Based on the reviewed papers, none of the studies have been performed on the closed-loop supply chains considering multi-objective, multi-product, and multi-period models.
On the other hand, this research considers improving closed-loop supply chain network optimization processes through dealing with mathematical programming tools; developing a deterministic multi-product, multi-echelon, multi-period model; and finally presenting an appropriate methodology to solve various sizes of instances.
This multi-period model determines the following decisions at each period: 1.
The chapter also discusses one-period models, multi-period models, discrete-time models, and continuous-time models.
A multi-period model framwork is also established on a more realistic multi-period situation.
Papers were selected that have formulated discrete time, finite horizon, multi-period models.
Although dynamic multi-period and multi-period models helped DMs during and after disasters, they did not capture the uncertain nature of disasters.
The proposed model is a three-echelon, multi-commodity, and multi-period model for the tactical and strategic decision making.
We then compare the outputs of the multi-period model with those of its single-period counterpart.
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