Batch scheduling problems are NP-hard and often coupled with logistics optimization
problems in industrial manufacturing scenarios, further increasing the challenge of decision …

As an effective approximation algorithm for multi-objective jobshop scheduling, multi-
objective evolutionary algorithms (MOEAs) have received extensive attention. However …

A production workshop with mobile robots can be considered as a hybrid system consisting
of a production system and a transportation one. Mobile robots are responsible for …

Autonomous mobile robots (AMRs) have been a rapidly expanding research topic for the
past decade. Unlike their counterpart, the automated guided vehicle (AGV), AMRs can make …

Rational allocation of resources can improve the profit margin of a steel enterprise. This
paper deals with a multi-product multi-stage multi-period resource allocation problem. In it …

Path finding in multi-agent systems aims to identify collision-free and cost-optimized paths
for all agents with distinct start and goal positions. It poses challenging optimization …

Energy consumption, production cost, and efficiency are highly concerned by decision
makers of energy-intensive and high-cost industrial production systems. Intelligent …

This work tackles an integrated order batching, picker assignment, batch sequencing, and
picker routing problem in warehouse environments. A Learning-Aided Iterated Local Search …

The robotic mobile fulfillment system (RMFS) utilizes robots to automate logistics handling.
Although robots can replace workers, there are serious limitations and conflicts that make …

To realize concurrent part processing and assembly process effectively in certain production
scenarios, a method of flexible assembly job shop scheduling considering assembly …