Year: 2018
Type: article
Abstract: This paper proposes a distributed adaptive coordination protocol for efficient management of manual order picking operations in the presence of unexpected delays and process disruptions. In manual order picking operations, multiple pickers work concurrently to retrieve inventory from aisles in response to customer orders. The lack of pickers coordination often leads to congestion incidents and high non-value added time as pickers attempt to locally optimize their routing decisions. In this research, pickers are modeled as a collaborative network in which they share their work and traffic information, and accordingly adjust their routes to avoid congestion and manage aisle competition. An adaptive coordination protocol is developed to enable pickers efficiently reach consensus (i.e., agreement) state on route adjustments. The proposed protocol is compared using simulation against the baseline case, and the experimental results indicate that it minimizes total order picking time and pickers congestion by 10.4% and 62.6%, respectively.
Source: Procedia Manufacturing
Authors: Husam Dauod, Ibrahim Yilmaz, Sang Won Yoon
Institution: Binghamton University
Language: English
Subfield: Industrial and Manufacturing Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W2901112656