方法证据记录
Job Shop Scheduling
Job shop scheduling is the problem of assigning a set of jobs (tasks) to a set of machines (resources) over time, subject to precedence and capacity constraints, with the goal of optimizing performance metrics such as makespan (total completion time), lateness, or cost. The job shop problem is a classic combinatorial optimization problem in operations research, addressed through heuristics (greedy dispatching rules, simulated annealing, genetic algorithms) and exact algorithms (branch-and-bound, constraint programming). It is fundamental to manufacturing, project management, and computational scheduling.
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
Job Shop Scheduling
分类方法记录 · ml-model / operations-management
- Pinedo, M. L. (2016). Scheduling: Theory, algorithms, and systems (5th ed.). Cham: Springer. · DOI 10.1007/978-3-319-26580-3
- Taillard, E. (1993). Benchmarks for basic scheduling problems. European Journal of Operational Research, 64(2), 278-285. · DOI 10.1016/0377-2217(93)90182-M
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