  The growth of e-commerce has led to an increase in home delivery requests,
including those for attended home deliveries on subscription-based platforms.
To accommodate customer availability, many online retailers offer various
delivery time slots. This paper introduces a tactical time slot management
problem for subscription-based e-retailers, focusing on slot assortment and
price discounts. The novelty of our model lies in incorporating customers'
heterogeneous preferences regarding delivery slots, captured through a mixed
logit choice model. The resulting stochastic problem is formulated as a
mixed-integer linear programming relying on simulations. We utilize a
simulation-based adaptive large neighborhood search to solve this problem
efficiently for large instances. Numerical experiments demonstrate the
effectiveness of our approach, particularly in addressing uncertain
heterogeneous customer behavior when optimizing assortment and pricing
strategies.
