A STATISTICAL MODEL FOR EXPECTED CYCLE TIME OF SP-AS/RS: AN APPLICATION OF MONTE CARLO SIMULATION

The elimination of international trade barriers, lower tariffs, and shifting centers of global manufacturing and consumption leads to new dynamics in intermodal shipping. Advanced technologies, and in particular, automated storage/retrieval systems (AS/RSs) for designing high-capacity automated container terminals, have been recently proposed as possible candidates for improving the terminal's efficiency and meeting the challenges of the future in marine transportation. In this article, the authors present an analytical statistical model for computing expected cycle time of split-platform AS/RS (SP-AS/RS), in order to reduce average handling time of this system. The accuracy of the proposed statistical model is validated by Monte Carlo simulation. The results show that the analytical model is reliable for the design and analysis of the SP-AS/RS.

[1]  Stephen C. Graves,et al.  Optimal Storage Assignment in Automatic Warehousing Systems , 1976 .

[2]  Phillip J. McKerrow,et al.  Introduction to robotics , 1991 .

[3]  Petros A. Ioannou,et al.  Design, simulation, and evaluation of automated container terminals , 2002, IEEE Trans. Intell. Transp. Syst..

[4]  James A. Rehg.  Introduction to Robotics in CIM Systems , 1992 .

[5]  Janez Kramberger,et al.  Simulation model of multi-shuttle automated storage and retrieval systems , 2004 .

[6]  Yavuz A. Bozer,et al.  Travel-Time Models for Automated Storage/Retrieval Systems , 1984 .

[7]  Noureddine Ghouali,et al.  Travel-time models for flow-rack automated storage and retrieval systems , 2005 .

[8]  Hark Hwang,et al.  Travel-time models considering the operating characteristics of the storage and retrieval machine , 1990 .

[9]  Wen-Jing Hsu,et al.  Travel time analysis of a new automated storage and retrieval system , 2005, Comput. Oper. Res..

[10]  Napsiah Ismail,et al.  COMPARISON OF DIFFERENT DWELL POINT POLICIES FOR SPLIT-PLATFORM AUTOMATED STORAGE AND RETRIEVAL SYSTEM , 2006 .

[11]  Aleem Khalid Alvi,et al.  3D Nuclear Reactor Simulator: An Application of Monte Carlo Simulation Techniques , 2004 .

[12]  Wen-Jing Hsu,et al.  Platform-based AS/RS for container storage , 2003, 2003 IEEE International Conference on Robotics and Automation (Cat. No.03CH37422).

[13]  Jeroen P. van den Berg.  A Literature survey on planning and control of warehousing systems , 1999 .

[14]  Ue-Pyng Wen,et al.  The impact on rack configuration on the speed profile of the storage and retrieval machine , 1997 .

[15]  James A. Rehg.  Introduction to robotics in CIM systems (2nd ed.) , 1992 .

[16]  Edward H. Frazelle,et al.  Analytical Results for Miniload Throughput and the Distribution of Dual Command Travel Time , 1991 .

[17]  Stephen C. Graves,et al.  Storage-Retrieval Interleaving in Automatic Warehousing Systems , 1977 .

[18]  Sun Hur,et al.  A performance estimation model for AS/RS by M/G/1 queuing system , 2004, Comput. Ind. Eng..

[19]  SUK-HWA CHANG,et al.  Relative pre-positioning of storage/retrieval machines in automated storage/retrieval systems to minimize maximum system response time , 1997 .

[20]  James T. Lin,et al.  The impact of acceleration/deceleration on travel-time models for automated storage/retrieval systems , 1995 .