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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.
Papers were selected that have formulated discrete time, finite horizon, multi-period models.
The chapter also discusses one-period models, multi-period models, discrete-time models, and continuous-time models.
Although dynamic multi-period and multi-period models helped DMs during and after disasters, they did not capture the uncertain nature of disasters.
Superstructure based multi-period models for heat exchanger network design have been proposed previously employing deterministic optimisation algorithms, e.g. (Aaltola, 2002; Verheyen and Zhang, 2006).
Another interesting topic would be the development of multi-period models that allow for the comparison of bonus taxes with other instruments introduced to motivate managers to take a long-term view.
Another interesting avenue for future research are multi-period settings as several interesting tax-related issues such as depreciation schedules, tax loss carry-forwards, and deferred taxes arise only in multi-period settings.33 As many decisions with respect to these issues are delegated to managers, we believe that multi-period models would generate new insights.
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.
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