Cross-docking assessment and optimization using multi-agent co-simulation: a case study
Authored by Eun Suk Suh
Date Published: 2015
DOI: 10.1007/s10696-014-9201-3
Sponsors:
Research Settlement Fund
Platforms:
AnyLogic
Model Documentation:
Other Narrative
Flow charts
Model Code URLs:
Model code not found
Abstract
Cross-docking is an operation where incoming freights from trucks or
trains are directly loaded onto outbound trucks or trains to
distributors, theoretically eliminating the need for interim storage
warehouses. It is widely used throughout the retail industry to reduce
supply chain related costs. In this paper, a cross-docking feasibility
and optimization case study, based on a simulation model framework, is
presented. The simulation model framework is created using the hybrid of
discrete-event and agent-based model, allowing accurate and customized
description of suppliers, distributors, and the cross-dock. The
simulation model framework was used to assess the feasibility of
implementing cross-docking operation for a global manufacturing firm's
technical consumer product supply chain and to optimize the
cross-docking performance within established constraints. Controllable
input parameters were evaluated for their impact to key cross-docking
metrics and optimized for best cross-docking operation performances.
Analysis and optimization results are presented with recommendations.
Tags
Supply Chain Management
Model
Warehouse