系统工程理论与实践
繫統工程理論與實踐
계통공정이론여실천
Systems Engineering—Theory & Practice
2013年
4期
1076~1083
,共null页
集装箱码头 鲁棒调度 泊位;岸桥 CNP
集裝箱碼頭 魯棒調度 泊位;岸橋 CNP
집장상마두 로봉조도 박위;안교 CNP
container terminal; robust scheduling; berth; quay cranes; CNP
集装箱码头作为一个复杂的物流节点，会受到多种不确定性因素的影响．针对这种情况，为保证码头作业计划能够平滑执行、提高系统的鲁棒性，提出了一种基于鲁棒反应式策略的泊位和岸桥联合调度方法，重点研究当不确定性因素发生时，如何通过泊位和岸桥联合实时调度提高系统的鲁棒性．泊位和岸桥联合实时调度策略分成两部分考虑：即泊位实时调度和岸桥实时调度；前者采用了ASAP（aSsoonaspossible）的调整策略；后者采用MAS（multi—agentsystem）技术，充分利用码头的岸桥资源，设计出了一种基于CNP（contract—network—protoc01）协商机制的岸桥实时调度模型．仿真实验表明在执行阶段采用这种泊位和岸桥联合实时调度策略相比仅采用泊位实时调度策略，可以更有效地降低不确定因素所带来的影响，进一步提高系统的鲁棒性．
集裝箱碼頭作為一箇複雜的物流節點，會受到多種不確定性因素的影響．針對這種情況，為保證碼頭作業計劃能夠平滑執行、提高繫統的魯棒性，提齣瞭一種基于魯棒反應式策略的泊位和岸橋聯閤調度方法，重點研究噹不確定性因素髮生時，如何通過泊位和岸橋聯閤實時調度提高繫統的魯棒性．泊位和岸橋聯閤實時調度策略分成兩部分攷慮：即泊位實時調度和岸橋實時調度；前者採用瞭ASAP（aSsoonaspossible）的調整策略；後者採用MAS（multi—agentsystem）技術，充分利用碼頭的岸橋資源，設計齣瞭一種基于CNP（contract—network—protoc01）協商機製的岸橋實時調度模型．倣真實驗錶明在執行階段採用這種泊位和岸橋聯閤實時調度策略相比僅採用泊位實時調度策略，可以更有效地降低不確定因素所帶來的影響，進一步提高繫統的魯棒性．
집장상마두작위일개복잡적물류절점，회수도다충불학정성인소적영향．침대저충정황，위보증마두작업계화능구평활집행、제고계통적로봉성，제출료일충기우로봉반응식책략적박위화안교연합조도방법，중점연구당불학정성인소발생시，여하통과박위화안교연합실시조도제고계통적로봉성．박위화안교연합실시조도책략분성량부분고필：즉박위실시조도화안교실시조도；전자채용료ASAP（aSsoonaspossible）적조정책략；후자채용MAS（multi—agentsystem）기술，충분이용마두적안교자원，설계출료일충기우CNP（contract—network—protoc01）협상궤제적안교실시조도모형．방진실험표명재집행계단채용저충박위화안교연합실시조도책략상비부채용박위실시조도책략，가이경유효지강저불학정인소소대래적영향，진일보제고계통적로봉성．
As a complex logistics node, the container terminal is affected by many uncertainties. In order to make terminal operating plan implemented smoothly and improve its robustness, a scheduling strategy for berth and quay cranes based on robust and reactive policy is proposed, focusing on how to increase the plan robustness through the real-time scheduling of berth and quay cranes when the uncertainties occurs. The real-time scheduling strategy includes the berth real-time scheduling and the quay cranes real-time scheduling. The former adopts the ASAP strategy. The latter adopts MAS technology, makes full use of quay cranes, and designs a real-time scheduling model for quay cranes based on CNP. The simulation tests show that this real-time scheduling strategy can achieve more stable plan than that just considering the berth real-time scheduling.
