Convexity and Feedback in Approximate Dynamic Programming for Delivery Time Slot Pricing

A Dynamic Pricing Model for Time Slot Management in Attended Home Delivery Logistics

In this paper, we propose a dynamic pricing model, with the objective of maximizing the total expected revenue of a provider of attended home deliveries, while also improving the matches between customers’ preferred delivery time and price and carriers’ desirable time slots and charge fees. The models are formulated to determine the optimal posted price and the minimum acceptable bid price for ...

Reinforcement Learning And Approximate Dynamic Programming For Feedback Control

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Integrated model for pricing, delivery time setting, and scheduling in make-to-order environments

Usually, in make-to-order environments which work only in response to the customer’s orders, manufacturers for maximizing the profits should offer the best price and delivery time for an order considering the existing capacity and the customer’s sensitivity to both the factors. In this paper, an integrated approach for pricing, delivery time setting and scheduling of new arrival orders are prop...

Approximate Convexity and Submonotonicity in Locally Convex Spaces

A DSS-Based Dynamic Programming for Finding Optimal Markets Using Neural Networks and Pricing

One of the substantial challenges in marketing efforts is determining optimal markets, specifically in market segmentation. The problem is more controversial in electronic commerce and electronic marketing. Consumer behaviour is influenced by different factors and thus varies in different time periods. These dynamic impacts lead to the uncertain behaviour of consumers and therefore harden the t...