Skip to content
Conference

Scaling Industrial Logistics: Tackling Multi-Batching Problems via Sequential Solving

2026 · International Conference on Principles and Practice of Constraint Programming · pp. 20:1-20:16 · 0 citations · 21 references
Computer Science

TL;DR

This paper addresses a real-world industrial multi-batching problem where products must be routed between distributed sites to determine optimal routes, travel frequencies, and packing configurations at minimum cost.

View source

Similar papers

Open access 2026

From Feasibility to Multi-Criteria Optimization in Service Team Transport Scheduling: A Declarative and Metaheuristic Perspective

The scalability of a multi-criteria optimization for the Service Team Transport Scheduling (STTS) problem is investigated, minimizing total travel time, maximum vehicle worktime, and total vehicle engagement time to define scale-aware algorithmic boundaries essential for real-time decision support systems.

Jarosław Rudy, G. Radzki · 0 citations
Open access Aug 2026

Heuristic Algorithms for the 1-m-1 Hybrid Flow Shop Scheduling Problem with Lot Streaming, No-Wait, Blocking, and Sequence-Dependent Setup Times

This study considers a 1-m-1 hybrid flow shop scheduling problem that simultaneously incorporates four practical constraints: lot streaming, no-wait, blocking, and sequence-dependent setup times. Although each of these characteristics has been studied individually in the literature, their joint consideration in a singl...

Hyejin Park, Minseo Lee, Jinil Han · 0 citations
Conference Open access 2026

Optimisation of Parallel Ship Block Assembly with Flexible Resource Allocation

The shipbuilding industry involves complex assembly processes where multiple subassemblies must be scheduled and integrated into larger blocks under strict precedence constraints. These activities are executed in parallel across constrained workspaces, making efficient scheduling critical to meeting deadlines and avoid...

J. Pernas-Álvarez, Hyungjoo Cha, Jeong Hoon Kim · 0 citations
Open access 2026

CROSS-DOCK SCHEDULING WITH ROUTING DECISIONS: AN INTEGRATED APPROACH

ABSTRACT Defining delivery routes is an effective way to reduce transportation costs. In particular, a cross-dock distribution center in a retail network requires coordinated decisions on delivery routes and internal operations, leading to the cross-dock scheduling with routing decisions problem. To the best of our kno...

E. D. Bernardes, F. Toledo · 0 citations
Open access Sep 2026

Pointer Amplifier for Vehicle Routing Problem: Solving Time-Constrained Vehicle Routing Problems with Finite Fleet Using End-to-End Neural Combinatorial Optimization

An NCO solution method for a time-constrained capacitated VRP with finite vehicle fleet is presented, providing competitive cost-efficient solutions while exhibiting robustness and generalization, compared with state-of-the-art heuristics.

Elija Deineko, Carina Kehrt · 0 citations
Open access Sep 2026

An Agent for Collaborative Optimization of Route Planning and Three-Dimensional Loading in Land Logistics

This study sets out to build an intelligent agent that plans vehicle routes and handles three-dimensional cargo loading at the same time and suggests that tying routing and loading together in a closed-loop setup makes plans easier to carry out.

Jing-Xiang Wang, Xin-Yue Cai, Yu-Feng Xin et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.