An efficient heuristic for adaptive production scheduling and control in one-of-a-kind production
Even though research in flow shop production scheduling has been carried out for many decades,there is still a gap between research and application especially in manufacturing paradigms such as one-of-a-kind production(OKP) that intensely challenges realtime adaptive production scheduling and control.Indeed,many of the most popular heuristics continue to use Johnson’s algorithm(1954) as their core. This paper presents a state space(SS)heuristic,integrated with a closed-loop feedback control structure,to achieve adaptive production scheduling and control in OKP. Our (SS) heuristic,because of its simplicity and computational efficiency,has the potential to become a core heuristic.Through a series of case studies,including an industrial implementation in OKP,our SS-based production scheduling and control system demonstrates significant potential to improve production efficiency.
* Elsevier: We are able to post the post print/accepted author manuscript or the pre-print file (http://www.elsevier.com/journal-authors/author-rights-and-responsibilities#author-posting) Author's post print deposited 05/15/2015
Flow shop scheduling, Adaptive production control, Petri nets, Simulation
Li, W., Nault, B.R., Xue, D., and Y.L. Tu, "An Efficient Heuristic for Adaptive Production Scheduling and Control in One-of-a-Kind production,"Computers and OR, 38, (2011), 267-276.