Unit-load storage assignment strategy for warehouses in seismic areas

被引:15
作者
Bortolini, Marco [1 ]
Botti, Lucia [2 ]
Cascini, Alessandro [2 ]
Gamberi, Mauro [2 ]
Mora, Cristina [1 ]
Pilati, Francesco [2 ]
机构
[1] Univ Bologna, Dept Ind Engn, I-40136 Bologna, Italy
[2] Univ Padua, Dept Management & Engn, I-36100 Vicenza, Italy
关键词
Load assignment; Structure stability; Seismic area; Warehouse; Optimisation; ORDER-PICKING SYSTEM; LOCATION ASSIGNMENT; AUTOMATED STORAGE; GENETIC ALGORITHM; TRAVEL DISTANCE; DESIGN; MODEL; ALLOCATION; OPTIMIZATION; IMPLEMENTATION;
D O I
10.1016/j.cie.2015.05.023
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
The reports from the strong earthquakes that hit seismic regions, as Italy, frequently show the damages occurring to the storage systems and the collapse of their racks, with devastating social and economic consequences. The loads stored in such systems represent the most of their weight, so that the overall structure stability is expected to highly depend on the chosen storage assignment policy. Conventional approaches relate the load assignment to the storage/retrieval (S/R) travel time, affecting the handling costs, neglecting any further issue. This paper faces the so-called unit-load assignment problem (ULAP) for industrial warehouses located in seismic areas presenting an innovative integer linear programming (ILP) model. The model includes both the S/R travel time and an innovative stability condition for the rack collapse prevention during seismic events. A case study, based on a multi-scenario analysis, is discussed to show the benefits coming from the application of the proposed strategy and to assess the impact of the stability issues on the average single-command travel time. The key results outline the effectiveness of the proposed strategy revealing that significant improvements in the structure stability are achievable with little decrease of the S/R efficiency. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:481 / 490
页数:10
相关论文
共 70 条
[1]   Robust Storage Assignment in Unit-Load Warehouses [J].
Ang, Marcus ;
Lim, Yun Fong ;
Sim, Melvyn .
MANAGEMENT SCIENCE, 2012, 58 (11) :2114-2130
[2]  
Berti D., 2012, 3 MORTI NELL AZIENDA
[3]   Optimizing a dynamic order-picking process [J].
Bukchin, Yossi ;
Khmelnitsky, Eugene ;
Yakuel, Pini .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2012, 219 (02) :335-346
[4]  
California Seismic Safety Commission, 2006, COMM PROP OWN GUID E
[5]   Toward perpetually organized unit-load warehouses [J].
Carlo, Hector J. ;
Giraldo, German E. .
COMPUTERS & INDUSTRIAL ENGINEERING, 2012, 63 (04) :1003-1012
[6]   Optimal layout in low-level picker-to-part systems [J].
Caron, F ;
Marchet, G ;
Perego, A .
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2000, 38 (01) :101-117
[7]   Improving the productivity of order picking of a manual-pick and multi-level rack distribution warehouse through the implementation of class-based storage [J].
Chan, Felix T. S. ;
Chan, H. K. .
EXPERT SYSTEMS WITH APPLICATIONS, 2011, 38 (03) :2686-2700
[8]   Recency-based storage assignment and warehouse configuration for recurrent demands [J].
Chou, Yon-Chun ;
Chen, Yao-Hung ;
Chen, Hui-Min .
COMPUTERS & INDUSTRIAL ENGINEERING, 2012, 62 (04) :880-889
[9]   Item-associated cluster assignment model on storage allocation problems [J].
Chuang, Yi-Fei ;
Lee, Hsu-Tung ;
Lai, Yi-Chuan .
COMPUTERS & INDUSTRIAL ENGINEERING, 2012, 63 (04) :1171-1177
[10]  
Clausen U, 2013, WINT SIMUL C PROC, P3430, DOI 10.1109/WSC.2013.6721706