Improving Striping Operations through System Optimization – Phase 2

Striping operations generate a significant workload for MoDOT maintenance operations. The requirement for each striping crew to replenish its stock of paint and other consumable items from a bulk storage facility, along with the necessity to make several passes on most of the routes to stripe all the lines on that road, introduce the potential for inefficiencies in the form of “deadhead miles” that striping crew vehicles must travel while not actively applying pavement markings. These inefficiencies generate unnecessary travel, wasted time, and vehicle wear.

This report updates a 2015 report that developed a decision support tool for scheduling and routing road striping operations. The updates presented in this report improve the optimization model, and generate more user-friendly outputs.

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Report number: cmr 16-015
Published: July 2016
Project number: TR201607
Author(s): Ronald G. McGarvey (Principal Investigator), Timothy Matisziw (Co-Principal Investigator), Charles Nemmers (Co-Principal Investigator), Gokhan Karakose (Research Assistant), Christopher Krause (Research Assistant)
Performing organization: Center for Excellence in Logistics and Distribution (CELDi), University of Missouri-Columbia