Optimizing real-time vehicle sequencing of a paint shop conveyor system

Elahi, M. M. Lutfe; Rajpurohit, Karthik; Rosenberger, Jay M.; Záruba, Gergely; Priest, John W.

doi:10.1016/j.omega.2015.02.003

Cited by 8 publications

(2 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The proliferation of analytics by businesses to assess risks and make decisions has been well documented (for recent examples, see [3,28,24,35]; and [33]). The rise of corporate investments in analytics allows management to make more informed decisions [7]; however, there is ambiguity around these investments.…”

Section: Introductionmentioning

confidence: 99%

Perception, reality, and the adoption of business analytics: Evidence from North American professional sport organizations

Troilo

Bouchet

Urban

et al. 2016

Omega

View full text Add to dashboard Cite

Section: Introductionmentioning

confidence: 99%

Perception, reality, and the adoption of business analytics: Evidence from North American professional sport organizations

Troilo

Bouchet

Urban

et al. 2016

Omega

View full text Add to dashboard Cite

“…[28,29]. Otherwise, the differences of the layout of networks or the location of the control and the type of communication type between vehicles [30,31] are also included. e purpose of this paper is the development of a centralized control algorithm between the U-turn vehicle streams and incoming vehicle streams in the middle of road section (Figure 1).…”

Section: Introductionmentioning

confidence: 99%

Cooperative U-Turn Merging Behaviors and Their Impacts on Road Traffic in CVIS Environment

Sun

et al. 2020

Journal of Advanced Transportation

View full text Add to dashboard Cite

U-turn behavior of vehicle is one of the main causes of urban traffic congestion and accidents. A collaborative U-turn merging control algorithm is studied with collision avoidance and delay minimization for vehicles under Cooperative Vehicle Infrastructure System (CVIS) environment. Two control strategies, zip merging and platoon merging control, are proposed. e applicability of these two strategies is compared from the perspective of efficiency and driving comfort. e cellular automaton simulation system composed of a two-way four-lane traffic flow with a U-turn facility in middle of road is established with cooperative control algorithm imbedded. e influence of cooperative U-turn merging behaviors on traffic performance is evaluated by analyzing the arrival rates of main lane and U-turn vehicles and their relationship between one another. e simulation results show that the arrival rate of vehicles on target lane has a great impact on traffic delay. e cooperative control can improve the traffic flow only in the condition that the arrival rate of vehicles on target lane is less than 0.7. It provides some practical references for transportation agencies to meet efficiency requirements of the U-turn section when they apply cooperative control strategy.

show abstract

Mathematical modeling and heuristic approaches for a multi-stage car sequencing problem

Ding

Shi

2021

Computers & Industrial Engineering

View full text Add to dashboard Cite

Optimizing real-time vehicle sequencing of a paint shop conveyor system

Cited by 8 publications

References 27 publications

Perception, reality, and the adoption of business analytics: Evidence from North American professional sport organizations

Perception, reality, and the adoption of business analytics: Evidence from North American professional sport organizations

Cooperative U-Turn Merging Behaviors and Their Impacts on Road Traffic in CVIS Environment

Mathematical modeling and heuristic approaches for a multi-stage car sequencing problem

Contact Info

Product

Resources

About