Optimal stack layout in a sea container terminal with automated lifting vehicles

被引:30
作者
Gupta, Akash [1 ]
Roy, Debjit [2 ]
de Koster, Rene [3 ]
Parhi, Sampanna [2 ]
机构
[1] Oklahoma State Univ, Sch Ind Engn & Management, Stillwater, OK 74078 USA
[2] Indian Inst Management Ahmedabad, Prod & Quantitat Methods Area, Ahmadabad, Gujarat, India
[3] Erasmus Univ, Rotterdam Sch Management, Dept Technol & Operat Management, Rotterdam, Netherlands
关键词
container terminal; parallel vs; perpendicular stack layout; facility layout; queuing models; simulation; TRANSSHIPMENT; SYSTEMS; PERFORMANCE; STORAGE; TRANSPORTATION; OPERATIONS; TIME; AGVS;
D O I
10.1080/00207543.2016.1273561
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Container terminal performance is largely determined by its design decisions, which include the number and type of quay cranes, stack cranes, transport vehicles, vehicle travel path and stack layout. We investigate the orientation of the stack layout (parallel or perpendicular to the quayside) on the throughput time performance of the terminals. Previous studies in this area typically use deterministic optimisation, and a few studies use probabilistic travel times and simulation to analyse the effect of stack layout on terminal throughput times. In this research, we capture the stochasticity with an integrated queuing network modelling approach to analyse the performance of container terminals with parallel stack layout using automated lifting vehicles. Using this analytical model, we investigate 1008 parallel stack layout configurations on throughput times and determine the optimal stack layout configuration. We find that, assuming an identical width of the internal transport area, container terminals with parallel stack layout perform better (from 4-12% in terms of container throughput times) than terminals with a perpendicular stack layout.
引用
收藏
页码:3747 / 3765
页数:19
相关论文
共 31 条
[1]  
[Anonymous], 1996, MULTIPLE COMP THEORY, DOI DOI 10.1201/B15074
[2]   Comparison of operations of AGVs and ALVs in an automated container terminal [J].
Bae, Hyo Young ;
Choe, Ri ;
Park, Taejin ;
Ryu, Kwang Ryel .
JOURNAL OF INTELLIGENT MANUFACTURING, 2011, 22 (03) :413-426
[3]  
Caserta M, 2011, OPER RES COMPUT SCI, V49, P247
[4]   Sea container terminals: New technologies and OR models [J].
Gharehgozli, Amir Hossein ;
Roy, Debjit ;
de Koster, Rene .
MARITIME ECONOMICS & LOGISTICS, 2016, 18 (02) :103-140
[5]   State of the Practice: A Review of the Application of OR/MS in Freight Transportation [J].
Gorman, Michael F. ;
Clarke, John-Paul ;
Gharehgozli, Amir Hossein ;
Hewitt, Michael ;
de Koster, Rene ;
Roy, Debjit .
INTERFACES, 2014, 44 (06) :535-554
[6]   A yard storage strategy for minimizing traffic congestion in a marine container transshipment hub [J].
Han, Yongbin ;
Lee, Loo Hay ;
Chew, Ek Peng ;
Tan, Kok Choon .
OR SPECTRUM, 2008, 30 (04) :697-720
[7]  
Hoshino S, 2005, IEEE INT CONF ROBOT, P1400
[8]  
Jose S., 2012, TECHNICAL REPORT
[9]   Effects of storage block layout and automated yard crane systems on the performance of seaport container terminals [J].
Kemme, Nils .
OR SPECTRUM, 2012, 34 (03) :563-591
[10]   An optimal layout of container yards [J].
Kim, Kap Hwan ;
Park, Young-Man ;
Jin, Mi-Ju .
OR SPECTRUM, 2008, 30 (04) :675-695