Coordinated Delivery to Shopping Malls with Limited Docking Capacity

Abstract

Shopping malls are densely located in major cities such as Singapore and Hong Kong. Tenants in these shopping malls generate a large number of freight orders to their contracted logistics service providers, who independently plan their own delivery schedules. These uncoordinated deliveries and limited docking capacity jointly cause congestion at the shopping malls. A delivery coordination platform centrally plans the vehicle routes for the logistics service providers and simultaneously schedules the dock time slots at the shopping malls for the delivery orders. Vehicle routing and dock scheduling decisions need to be made jointly against the backdrop of travel time and service time uncertainty and subject to practical operations rules. We model this problem as a two-stage stochastic mixed integer program, develop an adaptive large neighborhood search algorithm that approximates the second stage recourse function using various sample sizes, and examine the associated in-sample and out-of-sample stability. Our numerical study on a testbed of instances based on real data in Singapore demonstrates the value of coordination and the value of stochastic solutions.

The optimal capacity decision of the catering merchant in omnichannel – service, production and delivery capacity

“…Konig and Schon (2021) propose an optimization model for railway network delay management based on capacity constraints in railway transportation, which is of great significance for solving transportation problems under limited capacity. Song et al (2022) believe that uncoordinated delivery and limited docking capacity together lead to congestion in shopping centers. Therefore, they construct a twostage random mixed integer programming and develop an adaptive large neighborhood search algorithm to solve the coordination problem of delivery.…”

“…Konig and Schon (2021) propose an optimization model for railway network delay management based on capacity constraints in railway transportation, which is of great significance for solving transportation problems under limited capacity. Song et al . (2022) believe that uncoordinated delivery and limited docking capacity together lead to congestion in shopping centers.…”

Supply chain control tower and the adoption of intelligent dock booking for improving efficiency

“…(Fallahtafti et al, 2021) proposed a mathematical model for time slot management of loading docks in warehouses. Most recently, (Song et al, 2022), proposed an integrated optimization approach for the simultaneous planning of vehicle routes for the TSP and schedules the dock time slots at the SC facility. (Falsafi et al, 2022) introduced a decision-support model based on truck-dock assignment and transport mode selection to minimize the ripple effect of possible disruptions on the production plans.…”