文件名称：An efficient heuristic for adaptive production scheduling and control in one-of-a-kind production
文件大小：353KB
文件格式：PDF
更新时间：2013-06-03 14:49:20
scheduling; Adaptive production
Even though research in flow shop production scheduling has been carried out for many dec- ades, there is still a gap between research and application – especially in manufacturing para- digms such as one-of-a-kind production (OKP) that intensely challenges real time adaptive pro- duction 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, inte- grated 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.