Background: Distribution systems often face the dual challenge of delivering products to customers and retrieving damaged items for repair, especially when the service center is separate from the depot. An optimized solution to this logistics problem produces benefits in terms of costs,...

Purpose The purpose of this study is to investigate the impact of behavioral biases on investment decisions through a serial mediation of overconfidence and disposition effects. Design/methodology/approach The authors assess the behavioral biases affecting the investment decisions of life...

Verschuere et al. (2023) examine the effect of using the best available cue (use-the-best heuristic) on deception detection accuracy across 9 studies. In Study 8 they find that focusing on judging one single cue (detailedness) compared to multiple cues (four cues including detailedness, affect,...

We study a vehicle routing problem that originates from a Nordic distribution company and includes the essential decision-making components of the company's logistics operations. The problem considers customer deliveries from a depot using heavy depot vehicles, swap bodies, optional switch...

This paper studies the simultaneous minimization of total weighted earliness-tardiness (TWET) and makespan in a just-in-time single-machine scheduling problem (JIT-SMSP) with sequence-dependent setup times and distinct due windows, allowing idle times in the schedules. Multiple variants of...

In this paper, a novel message-passing algorithm, named AMP-R, based on belief propagation is proposed to solve the heterogeneous multi-depot vehicle routing problem (HMDVRP) in a distributed manner. Unlike traditional approaches, this is the first attempt to decentralize the solution process...

A recurring challenge for transportation companies is the inefficiency of returning (partially) empty vehicles, or backhauling, after delivering orders. To address this issue, companies search on freight exchange platforms for profitable pickup and delivery orders, aiming to reduce the costs...