English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

We address the warehouse servicing problem (WSP) in automated warehouses,which use teams of mobile agents to bring products from shelves to packingstations. Given a list of products, the WSP amounts to finding a plan for ateam of agents which brings every product on the list to a station within agiven timeframe. The WSP consists of four subproblems, concerning what tasks toperform (task formulation), who will perform them (task allocation), and when(scheduling) and how (path planning) to perform them. These subproblems areNP-hard individually and become more challenging in combination. The difficultyof the WSP is compounded by the scale of automated warehouses, which frequentlyuse teams of hundreds of agents. In this paper, we present a methodology thatcan solve the WSP at such scales. We introduce a novel, contract-based designframework which decomposes an automated warehouse into traffic systemcomponents. By assigning each of these components a contract describing thetraffic flows it can support, we can synthesize a traffic flow satisfying agiven WSP instance. Component-wise search-based path planning is then used totransform this traffic flow into a plan for discrete agents in a modular way.Evaluation shows that this methodology can solve WSP instances on realautomated warehouses.

Co-Design of Topology, Scheduling, and Path Planning in Automated Warehouses