RESEARCH PAPER
The study on the automated storage and retrieval system dependability
1
Warsaw University of Technology, ul. Koszykowa 75, 00-662 Warsaw, Poland
Publication date: 2021-12-31
Eksploatacja i Niezawodność – Maintenance and Reliability 2021;23(4):709-718
HIGHLIGHTS
- The problem of ARS dependability is discussed for the first time.
- New contribution to discussion on logistics systems dependability is provided.
- New factors influencing the dependability of ASRS are gathered.
- A new simulation model in FlexSim for ASRS dependability analyse is provided.
KEYWORDS
ABSTRACT
Automated storage systems have become the basis of warehouse logistics. The article presents a discussion on the reliability and dependability of Automated Storage and Retrieval Systems (ASRS), which are perceived as solutions with high technical reliability. Still, their role in the dependability of the entire warehouse system is to be discussed. The concepts of reliability and dependability in logistics systems like ASRS are defined, and a literature review in this area is presented. On this basis, the factors influencing the dependability of ASRS are discussed in a way not present in the discussion on this topic so far. Then, the ASRS simulation model (based on FlexSim simulation software) is presented. The model tests the influence of ASRS configuration and assigned resources on the dependability of the warehouse as a master system. The summary includes observations on defining the reliability and dependability of ASRS.
REFERENCES (51)
1.
Atmaca E, Ozturk A. Defining order picking policy: A storage assignment model and a simulated annealing solution in AS/RS systems. Applied Mathematical Modelling 2013; 37: 5069–5079, http://dx.doi.org/10.1016/j.ap....
2.
Azadeh K, De Koster R, Roy D. Robotized and automated warehouse systems: review and recent developments Transportation Science 2019; 53(4): 917–945, https://doi.org/10.1287/trsc.2....
3.
Baghalian A, Rezapour S, Farahani RZ. Robust supply chain network design with service level against disruptions and demand uncertainties: A real-life case. European Journal of Operational Research 2013; 227(1): 199–215, 10.1016/j.ejor.2012.12.017.
4.
Barnes E, Dai J, Deng S, Down D, Goh M, Lau H C, Sharafali M. On the Strategy of Shupply Hubs for Cost Reduction and Responsiveness. White Paper, The Logistics Institute – Asia Pacific 2003. National University of Singapore.
5.
Boysen N, Stephan K. A survey on single crane scheduling in automated storage/retrieval systems. European Journal of Operational Research 2016; 254: 691–704, https://doi.org/10.1016/j.ejor....
6.
Brezovnik S, Gotlih J, Balič J, Gotlih K, Brezočnik M. Optimization of an Automated Storage and Retrieval Systems by Swarm Intelligence. Procedia Engineering 2015; 100: 1309 – 1318.
7.
Bukowski L, Feliks J. A unified model of systems dependability and process continuity for complex supply chains. In: Nowakowski T. et al. (eds) Safety and Reliability: Methodology and Applications, CRC Press Taylor & Francis Group, 2015: 2395-2403.
8.
Bukowski L. System of systems dependability – Theoretical models and applications examples. Reliability Engineering & System Safety 2016; 151: 76–92.
9.
Chung S H, Chan H K, Chan F T S. A modified genetic algorithm for maximizing handling reliability and recyclability of distribution centers. Expert Systems with Applications 2013; 40(18): 7588–7595.
10.
Ekren B Y, Heragu S S. Simulation based performance analysis of an autonomous vehicle storage and retrieval system, Simulation Modelling Practice and Theory 2011; 19: 1640–1650.
11.
Ekren B Y, Sari Z, Lerher T. Warehouse Design under Class-Based Storage Policy of Shuttle-Based Storage and Retrieval System. IFACPapersOnLine 2015; 48(3): 1152-1154.
12.
Fazlollahtabar H, Saidi-Mehrabad M. Optimising a multi-objective reliability assessment in multiple AGV manufacturing system. International Journal of Services and Operations Management 2013; 16(3): 352–372.
13.
Gademann A N. Optimal routing in an automated storage/retrieval system with dedicated storage. IIE Transactions 1999; 31(5): 407–415.
14.
Gagliardi J-P, Renaud J, Ruiz A. Models for automated storage and retrieval systems: a literature review. International Journal of Production Research 2012; 50:24, 7110-7125, http://dx.doi.org/10.1080/0020....
15.
Hachemi K, Besombes B. Integration of products expiry dates in optimal scheduling of storage/retrieval operations for a flow-rack AS/RS. International Journal of Industrial and Systems Engineering 2013; 15(2): 216–233, 10.1504/IJISE.2013.056097.
16.
Haj Shirmohammadi A. Programming maintenance and repair. Technical management in industry 2002, 8th edition. Esfahan: Ghazal Publishers.
17.
International Electrotechnical Commission, Electropedia. 192 Dependability, IEV ref 192-01-22. Available online: https://www.electropedia. org (accessed on Jul 27, 2021).
18.
Jachimowski R, Gołębiowski P, Izdebski M, Pyza D, Szczepański E. Designing and efficiency of database for simulation of processes in systems. Case study for the simulation of warehouse processes. Archives of Transport 2017; 41(1): 31-42, 10.5604/01.3001.0009.7380.
19.
Jacyna M, Semenov I. Models of vehicle service system supply under information uncertainty. Eksploatacja i Niezawodnosc – Maintenance and Reliability 2020; 22 (4): 694–704, http://dx.doi.org/10.17531/ein....
20.
Jacyna M, Wasiak M, Bobiński A. SIMMAG3D as a tool for designing of storage facilities in 3D. Archives of Transport 2017; 42(2): 25-38, 10.5604/01.3001.0010.0525.
21.
Jacyna-Gołda I, Kłodawski M, Lewczuk K, Łajszczak M, Chojnacki T, Siedlecka-Wójcikowska T. Elements of perfect order rate research in logistics chains. Archives of Transport 2019; 49(1): 25-35, 10.5604/01.3001.0013.2771.
22.
Jacyna-Gołda I, Lewczuk K, The method of estimating dependability of supply chain elements on the base of technical and organizational redundancy of process. Eksploatacja i Niezawodnosc – Maintenance and Reliability 2017; 19 (3): 382–392, http://dx.doi.org/10.17531/ein....
23.
Kłodawski M, Lewczuk K, Jacyna-Gołda I, Żak J. Decision making strategies for warehouse operations. Archives of Transport 2017; 42(1): 43–53, 10.5604/01.3001.0009.7384.
24.
Kulwiec R, Ray Kulwiec Associates. Reliability of automated storage and retrieval systems (AS/RS) a White Paper. 2007. Available online: http://www.pnkreis.com/images/... (accessed on 30 Jun 2021).
25.
Lerher T, Ekren Y B, Sari Z, Rosi B. Simulation analysis of shuttle based storage and retrieval systems. International Journal of Simulation Modelling 2015; 14(1): 48-59, 10.2507/IJSIMM14(1)5.281.
26.
Lerher T, Ficko M, Palčič I, Throughput performance analysis of Automated Vehicle Storage and Retrieval Systems with multiple-tier shuttle vehicles. Applied Mathematical Modelling 2021; 91: 1004–1022, https://doi.org/10.1016/j.apm.....
27.
Lewczuk K, Dependability issues in designing warehouse facilities and their functional areas. Journal of KONBiN 2016; 2(38): 201–228, 10.1515/jok-2016-0024.
28.
Lewczuk K. The concept of genetic programming in organizing internal transport processes. Archives of transport 2015; 34(2): 61-74, 10.5604/08669546.1169213.
29.
Liu T, Gong Y, De Koster R B M. Travel time models for split-platform automated storage and retrieval systems. International Journal of Production Economics 2018; 197: 197–214, https://doi.org/10.1016/j.ijpe....
30.
Manzini R, Gamberi M, Regattieri A. Design and control of an AS/RS. The International Journal of Advanced Manufacturing Technology 2006; 28: 766–774, 10.1007/s00170-004-2427-6.
31.
Marchet G, Melacini M, Perotti S, Tappia E. Analytical model to estimate performances of autonomous vehicle storage and retrieval systems for product totes. International Journal of Production Research 2012; 50(24): 7134–7148, https://doi.org/10.1080/002075....
32.
Marchet G, Melacini M, Perotti S, Tappia E. Development of a framework for the design of autonomous vehicle storage and retrieval systems. International Journal of Production Research 2013; 51(14): 4365–4387, 10.1080/00207543.2013.778430.
33.
Nativ D J, Cataldo A, Scattolini R, De Schutter B. Model Predictive Control of an Automated Storage/Retrieval System. IFAC-PapersOnLine 2016; 49-12: 1335–1340, 10.1016/j.ifacol.2016.07.745.
34.
Neo H Y, Xie M, Tsui K L. Service quality analysis: case study of a 3PL company. International Journal of Logistics Systems and Management 2004; 1(1): 64–80.
35.
Ning Z, Lei L, Saipeng Z, Lodewijks G, An efficient simulation model for rack design in multi-elevator shuttle-based storage and retrieval system. Simulation Modelling Practice and Theory 2016; 67: 100–116, http://dx.doi.org/10.1016/j.si....
36.
Nowakowski T. Analysis of possibilities of logistics systems reliability assessment. Safety and Reliability for managing risk 2006; 3. Leiden: and Francis.
37.
Nowakowski T. Models of uncertainty of operation and maintenance information. Zagadnienia Eksploatacji Maszyn 2000; 35(2): 143–150.
38.
Nowakowski T. Reliability model of combined transportation system. Probabilistic Safety Assessment and Management. Spitzer C, Schmocker U, Dang V N (ed.). London: Springer, 2004.
39.
Quigley J, Walls L. Trading reliability targets within a supply chain using Shapley’s value. Reliability Engineering & System Safety 2007; 92(10): 1448–1457.
40.
Ripple J, Automated Storage and Retrieval Systems: The Impact of Load Condition on ASRS Reliability and Availability 2019. Available online at https://www.linkedin.com/pulse... (accessed on 30 Jun 2021).
41.
Roodbergen K J, Vis I F A. A survey of literature on automated storage and retrieval systems. European Journal of Operational Research 2009; 194(2): 343-362, 10.1016/j.ejor.2008.01.038.
42.
Sarker B R, Babu P S. Travel time models in automated storage/retrieval systems: A critical review. International Journal of Production Economics 1995; 40: 173-184.
43.
Sohn S Y, Choi I S, Fuzzy QFD for supply chain management with reliability consideration. Reliability Engineering & System Safety 2001; 72(3): 327–334.
44.
Szaciłło L, Jacyna M, Szczepański E, Izdebski M. Risk assessment for rail freight transport operations. Eksploatacja i Niezawodnosc – Maintenance and Reliability 2021; 23 (3): 476–488, http://doi.org/10.17531/ein.20....
45.
Vasili M, Hong T S, Homayouni S M, Ismail N. A statistical model for expected cycle time of SP-AS/RS: an application of Monte Carlo simulation. Applied Artificial Intelligence 2008; 22 (7–8): 824–840, https://doi.org/10.1080/088395....
46.
Werbińska-Wojciechowska S. The availability model of logistic support system with time redundancy. Eksploatacja i Niezawodnosc – Maintenance and Reliability 2007; 3(35): 23–29.
47.
Werbińska-Wojciechowska S. Time resource problem in logistics systems dependability modelling. Eksploatacja i Niezawodnosc – Maintenance and Reliability 2013; 15(4): 427–433.
48.
Lee Y K, Yang H S. A study for secure the reliability of automated warehouse system, Journal of Digital Convergence 2016; 14 (10): 253– 259, https://doi.org/10.14400/JDC.2....
49.
Yan R, Dunnett S J, Jackson L M. Reliability Modelling of Automated Guided Vehicles by the Use of Failure Modes Effects and Criticality Analysis, and Fault Tree Analysis. 5th Student Conference on Operational Research (SCOR’16) 2016. Hardy B, Qazi A, Ravizza S (eds); Article No. 2: 2:1–2:11, 10.4230/OASIcs.SCOR.2016.2.
50.
Yang D, Wu Y, Ma W. Optimization of storage location assignment in automated warehouse. Microprocessors and Microsystems 2021; 80: 103356, https://doi.org/10.1016/j.micp....
51.
Zhang Z, Liu Q, Lv C, Zhang L, Li S. An NSABC algorithm for multi-aisle AS/RS scheduling optimization Xiaohui Yan. Computers & Industrial Engineering 2021; 156: 107254, https://doi.org/10.1016/j.cie.....
CITATIONS (8):
1.
Challenges and Solutions for Present Transport Systems
Michał Lasota, Marianna Jacyna, Mariusz Wasiak, Aleksandra Zabielska
Michał Lasota, Marianna Jacyna, Mariusz Wasiak, Aleksandra Zabielska
2.
Formally modeling and verifying a software component retrieval system using mCRL2
Nisha Pal, Dharmendra Yadav
International Journal of System Assurance Engineering and Management
Nisha Pal, Dharmendra Yadav
International Journal of System Assurance Engineering and Management
3.
A classification approach to order picking systems and policies: Integrating automation and optimization for future research
Anderson Pinto, Marcelo Nagano, Esra Boz
Results in Control and Optimization
Anderson Pinto, Marcelo Nagano, Esra Boz
Results in Control and Optimization
4.
Multi-Objective Simulation-Optimization for integrated automated storage and retrieval systems planning considering energy consumption
Zakka Ugih Rizqi, Shuo-Yan Chou, Adinda Khairunisa
Computers & Industrial Engineering
Zakka Ugih Rizqi, Shuo-Yan Chou, Adinda Khairunisa
Computers & Industrial Engineering
6.
Advances in Manufacturing IV
Anna Borucka, Krzysztof Patrejko, Łukasz Patrejko, Konrad Polakowski
Anna Borucka, Krzysztof Patrejko, Łukasz Patrejko, Konrad Polakowski
7.
Efficient Material Flow and Storage Space Determination in Automated Distribution Centers
Mohammed Alnahhal, Nikola Gjeldum, Mohammed Ruzayqat, Xiao He
Journal of Engineering
Mohammed Alnahhal, Nikola Gjeldum, Mohammed Ruzayqat, Xiao He
Journal of Engineering
8.
Energy harvesting for automated storage and retrieval system with sustainable configuration of storage assignment and input/output point
Zakka Ugih Rizqi, Shuo-Yan Chou, Adinda Khairunisa
Transportation Research Part E: Logistics and Transportation Review
Zakka Ugih Rizqi, Shuo-Yan Chou, Adinda Khairunisa
Transportation Research Part E: Logistics and Transportation Review
| eISSN: | 2956-3860 |
| ISSN: | 1507-2711 |
We process personal data collected when visiting the website. The function of obtaining information about users and their behavior is carried out by voluntarily entered information in forms and saving cookies in end devices. Data, including cookies, are used to provide services, improve the user experience and to analyze the traffic in accordance with the Privacy policy. Data are also collected and processed by Google Analytics tool (more).
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
