Refine
Has Fulltext
- no (17)
Document Type
- Article (17) (remove)
Language
- English (17)
Is part of the Bibliography
- yes (17)
Keywords
- Dynamic pricing (4)
- heuristics (3)
- Dynamic pricing and advertising (2)
- Dynamic programming (2)
- E-commerce (2)
- Oligopoly competition (2)
- dynamic (2)
- dynamic programming (2)
- risk aversion (2)
- Adoption effects (1)
- Advertising (1)
- Body sensor networks (1)
- Causal inference (1)
- Causal structure learning (1)
- Circular economy (1)
- Competition (1)
- Data-driven price anticipation (1)
- Data-driven strategies (1)
- Dynamic pricing competition (1)
- Feedback heuristics (1)
- Finite horizon (1)
- General Earth and Planetary Sciences (1)
- General demand function (1)
- Geography, Planning and Development (1)
- Inventory holding costs (1)
- Log data (1)
- Manufacturing (1)
- Markov decision process (1)
- Markov decision process; (1)
- Optimal control (1)
- Optimal stochastic and deterministic (1)
- Optimal stochastic control (1)
- Peer-to-Peer ridesharing (1)
- Price collusion (1)
- Pricing (1)
- Recycling investments (1)
- Reinforcement learning (1)
- Response strategies (1)
- Stochastic differential games (1)
- Structural properties (1)
- Time-dependent demand elasticities (1)
- Water Science and Technology (1)
- biomechanics (1)
- control (1)
- data-driven demand (1)
- database systems (1)
- demand learning (1)
- distributed computing (1)
- dynamic pricing (1)
- e-Commerce (1)
- e-commerce (1)
- industry (1)
- inventory management (1)
- location prediction algorithm (1)
- mean-variance optimization (1)
- motion analysis (1)
- multi-product pricing (1)
- multilevel systems (1)
- oligopoly competition (1)
- physical activity assessment (1)
- pricing (1)
- programming (1)
- recursive tuning (1)
- risk-aware dispatching (1)
- robustness (1)
- self-driving (1)
- substitution effects (1)
- trajectory data (1)
- transport network companies (1)
- workload prediction (1)
Circular economy
(2021)
In a circular economy, the use of recycled resources in production is a key performance indicator for management. Yet, academic studies are still unable to inform managers on appropriate recycling and pricing policies. We develop an optimal control model integrating a firm's recycling rate, which can use both virgin and recycled resources in the production process. Our model accounts for recycling influence both at the supply- and demandsides. The positive effect of a firm's use of recycled resources diminishes over time but may increase through investments. Using general formulations for demand and cost, we analytically examine joint dynamic pricing and recycling investment policies in order to determine their optimal interplay over time. We provide numerical experiments to assess the existence of a steady-state and to calculate sensitivity analyses with respect to various model parameters. The analysis shows how to dynamically adapt jointly optimized controls to reach sustainability in the production process. Our results pave the way to sounder sustainable practices for firms operating within a circular economy.