TY  - JOUR
AU  - Kosanić, Nenad
AU  - Marolt, Jakob
AU  - Zrnić, Nenad
AU  - Lerher, Tone
PY  - 2024
UR  - https://www.tandfonline.com/doi/full/10.1080/00207543.2023.2221750
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/7773
AB  - The paper presents an analytical model for travel time evaluation in double-deep, triple-deep, quadruple-deep and fivefold-deep tier-captive shuttle-based storage and retrieval system (SBS/RS). Under the assumption of the deepest location rule for the storage process and the nearest neighbour rule for the retrieval process, the expressions for single-command and dual-command cycle times of the shuttle vehicle and elevator are developed, from which the SBS/RS performance can be estimated. The model based on the probability theory enables the evaluation of all individual times that make up the cycle times and assessment of the average number of totes relocated during a retrieval process. Special attention is devoted to the modelling of the relocation of totes which block access to the requested tote during the retrieval process. The validity of the analytical model is examined via the developed simulation model. The given case study shows that the proposed analytical travel time model results match the results of the simulation model. The presented modelling strategy could be applied to bigger system racking depths following the same modelling logic.
PB  - Taylor and Francis Ltd.
T2  - International Journal of Production Research
T1  - Travel time model for multiple-deep shuttle-based storage and retrieval systems
EP  - 2639
IS  - 7
SP  - 2606
VL  - 62
DO  - 10.1080/00207543.2023.2221750
ER  - 

@article{
author = "Kosanić, Nenad and Marolt, Jakob and Zrnić, Nenad and Lerher, Tone",
year = "2024",
abstract = "The paper presents an analytical model for travel time evaluation in double-deep, triple-deep, quadruple-deep and fivefold-deep tier-captive shuttle-based storage and retrieval system (SBS/RS). Under the assumption of the deepest location rule for the storage process and the nearest neighbour rule for the retrieval process, the expressions for single-command and dual-command cycle times of the shuttle vehicle and elevator are developed, from which the SBS/RS performance can be estimated. The model based on the probability theory enables the evaluation of all individual times that make up the cycle times and assessment of the average number of totes relocated during a retrieval process. Special attention is devoted to the modelling of the relocation of totes which block access to the requested tote during the retrieval process. The validity of the analytical model is examined via the developed simulation model. The given case study shows that the proposed analytical travel time model results match the results of the simulation model. The presented modelling strategy could be applied to bigger system racking depths following the same modelling logic.",
publisher = "Taylor and Francis Ltd.",
journal = "International Journal of Production Research",
title = "Travel time model for multiple-deep shuttle-based storage and retrieval systems",
pages = "2639-2606",
number = "7",
volume = "62",
doi = "10.1080/00207543.2023.2221750"
}

Kosanić, N., Marolt, J., Zrnić, N.,& Lerher, T.. (2024). Travel time model for multiple-deep shuttle-based storage and retrieval systems. in International Journal of Production Research
Taylor and Francis Ltd.., 62(7), 2606-2639.
https://doi.org/10.1080/00207543.2023.2221750

Kosanić N, Marolt J, Zrnić N, Lerher T. Travel time model for multiple-deep shuttle-based storage and retrieval systems. in International Journal of Production Research. 2024;62(7):2606-2639.
doi:10.1080/00207543.2023.2221750 .

Kosanić, Nenad, Marolt, Jakob, Zrnić, Nenad, Lerher, Tone, "Travel time model for multiple-deep shuttle-based storage and retrieval systems" in International Journal of Production Research, 62, no. 7 (2024):2606-2639,
https://doi.org/10.1080/00207543.2023.2221750 . .

TY  - JOUR
AU  - Marolt, Jakob
AU  - Kosanić, Nenad
AU  - Lerher, Tone
PY  - 2022
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/3762
AB  - This paper studies multiple-deep automated vehicle storage and retrieval systems (AVS/RSs) known for their high throughput performance and flexibility. Compared to a single-deep system, multiple-deep AVS/RS has a better space area utilisation. However, a relocation cycle occurs, reducing the throughput performance whenever another stock keeping unit (SKU) blocks a retrieving SKU. The SKU retrieval sequence is undetermined, meaning that the arrangement is unknown, and all SKUs have an equal probability of retrieval. In addition to the shuttle carrier, a satellite vehicle is attached to the shuttle carrier and is used to access storage locations in multiple depths. A discrete event simulation of multiple-deep AVS/RS with a tier captive shuttle carrier was developed. We focused on the dual-command cycle time assessment of nine different storage and relocation assignment strategy combinations in the simulation model. The results of a simulation study for (i) random, (ii) depth-first and (iii) nearest neighbour storage and relocation assignment strategy combinations are examined and benchmarked for five different AVS/RS case study configurations with the same number of storage locations. The results display that the fivefold- and sixfold-deep AVS/RSs outperform systems with fewer depths by utilising depth-first storage and nearest neighbour relocation assignment strategies.
PB  - Springer London Ltd, London
T2  - International Journal of Advanced Manufacturing Technology
T1  - Relocation and storage assignment strategy evaluation in a multiple-deep tier captive automated vehicle storage and retrieval system with undetermined retrieval sequence
EP  - 3420
IS  - 9-10
SP  - 3403
VL  - 118
DO  - 10.1007/s00170-021-08169-x
ER  - 

@article{
author = "Marolt, Jakob and Kosanić, Nenad and Lerher, Tone",
year = "2022",
abstract = "This paper studies multiple-deep automated vehicle storage and retrieval systems (AVS/RSs) known for their high throughput performance and flexibility. Compared to a single-deep system, multiple-deep AVS/RS has a better space area utilisation. However, a relocation cycle occurs, reducing the throughput performance whenever another stock keeping unit (SKU) blocks a retrieving SKU. The SKU retrieval sequence is undetermined, meaning that the arrangement is unknown, and all SKUs have an equal probability of retrieval. In addition to the shuttle carrier, a satellite vehicle is attached to the shuttle carrier and is used to access storage locations in multiple depths. A discrete event simulation of multiple-deep AVS/RS with a tier captive shuttle carrier was developed. We focused on the dual-command cycle time assessment of nine different storage and relocation assignment strategy combinations in the simulation model. The results of a simulation study for (i) random, (ii) depth-first and (iii) nearest neighbour storage and relocation assignment strategy combinations are examined and benchmarked for five different AVS/RS case study configurations with the same number of storage locations. The results display that the fivefold- and sixfold-deep AVS/RSs outperform systems with fewer depths by utilising depth-first storage and nearest neighbour relocation assignment strategies.",
publisher = "Springer London Ltd, London",
journal = "International Journal of Advanced Manufacturing Technology",
title = "Relocation and storage assignment strategy evaluation in a multiple-deep tier captive automated vehicle storage and retrieval system with undetermined retrieval sequence",
pages = "3420-3403",
number = "9-10",
volume = "118",
doi = "10.1007/s00170-021-08169-x"
}

Marolt, J., Kosanić, N.,& Lerher, T.. (2022). Relocation and storage assignment strategy evaluation in a multiple-deep tier captive automated vehicle storage and retrieval system with undetermined retrieval sequence. in International Journal of Advanced Manufacturing Technology
Springer London Ltd, London., 118(9-10), 3403-3420.
https://doi.org/10.1007/s00170-021-08169-x

Marolt J, Kosanić N, Lerher T. Relocation and storage assignment strategy evaluation in a multiple-deep tier captive automated vehicle storage and retrieval system with undetermined retrieval sequence. in International Journal of Advanced Manufacturing Technology. 2022;118(9-10):3403-3420.
doi:10.1007/s00170-021-08169-x .

Marolt, Jakob, Kosanić, Nenad, Lerher, Tone, "Relocation and storage assignment strategy evaluation in a multiple-deep tier captive automated vehicle storage and retrieval system with undetermined retrieval sequence" in International Journal of Advanced Manufacturing Technology, 118, no. 9-10 (2022):3403-3420,
https://doi.org/10.1007/s00170-021-08169-x . .

TY  - JOUR
AU  - Rajković, Miloš
AU  - Zrnić, Nenad
AU  - Kosanić, Nenad
AU  - Borovinšek, Matej
AU  - Lerher, Tone
PY  - 2019
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/3245
AB  - A new optimization model of Automated Storage and Retrieval Systems (AS/RS) containing three objective and four constraint functions is presented in this paper. Majority of the researchers and publications in material handling field had performed optimization of different decision variables, but with single objective function only. Most common functions are: minimum travel time, maximum throughput capacity, minimum cost, maximum energy efficiency, etc. To perform the simultaneous optimization of objective functions (minimum: "investment expenses", "cycle times", "CO2 footprint") the Non-dominated Sorting Genetic Algorithm II (NSGA II) was used. The NSGA II is a tool for finding the Pareto optimal solutions on the Pareto line. Determining the performance of the system is the main goal of our model. Since AS/RS are not flexible in terms of layout and organizational changes once the system is up and running, the proposed model could be a very helpful tool for the warehouse planners in the early stages of warehouse design.
PB  - Vilnius Gediminas Tech Univ, Vilnius
T2  - Transport
T1  - A multi-objective optimization model for minimizing investment expenses, cycle times and co2 footprint of an automated storage and retrieval systems
EP  - 286
IS  - 2
SP  - 275
VL  - 34
DO  - 10.3846/transport.2019.9686
ER  - 

@article{
author = "Rajković, Miloš and Zrnić, Nenad and Kosanić, Nenad and Borovinšek, Matej and Lerher, Tone",
year = "2019",
abstract = "A new optimization model of Automated Storage and Retrieval Systems (AS/RS) containing three objective and four constraint functions is presented in this paper. Majority of the researchers and publications in material handling field had performed optimization of different decision variables, but with single objective function only. Most common functions are: minimum travel time, maximum throughput capacity, minimum cost, maximum energy efficiency, etc. To perform the simultaneous optimization of objective functions (minimum: "investment expenses", "cycle times", "CO2 footprint") the Non-dominated Sorting Genetic Algorithm II (NSGA II) was used. The NSGA II is a tool for finding the Pareto optimal solutions on the Pareto line. Determining the performance of the system is the main goal of our model. Since AS/RS are not flexible in terms of layout and organizational changes once the system is up and running, the proposed model could be a very helpful tool for the warehouse planners in the early stages of warehouse design.",
publisher = "Vilnius Gediminas Tech Univ, Vilnius",
journal = "Transport",
title = "A multi-objective optimization model for minimizing investment expenses, cycle times and co2 footprint of an automated storage and retrieval systems",
pages = "286-275",
number = "2",
volume = "34",
doi = "10.3846/transport.2019.9686"
}

Rajković, M., Zrnić, N., Kosanić, N., Borovinšek, M.,& Lerher, T.. (2019). A multi-objective optimization model for minimizing investment expenses, cycle times and co2 footprint of an automated storage and retrieval systems. in Transport
Vilnius Gediminas Tech Univ, Vilnius., 34(2), 275-286.
https://doi.org/10.3846/transport.2019.9686

Rajković M, Zrnić N, Kosanić N, Borovinšek M, Lerher T. A multi-objective optimization model for minimizing investment expenses, cycle times and co2 footprint of an automated storage and retrieval systems. in Transport. 2019;34(2):275-286.
doi:10.3846/transport.2019.9686 .

Rajković, Miloš, Zrnić, Nenad, Kosanić, Nenad, Borovinšek, Matej, Lerher, Tone, "A multi-objective optimization model for minimizing investment expenses, cycle times and co2 footprint of an automated storage and retrieval systems" in Transport, 34, no. 2 (2019):275-286,
https://doi.org/10.3846/transport.2019.9686 . .

TY  - CONF
AU  - Rajković, Miloš
AU  - Zrnić, Nenad
AU  - Kosanić, Nenad
AU  - Borovinšek, Matej
AU  - Lerher, Tone
PY  - 2017
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/6277
AB  - In the following paper, a new multi-objective optimization model for optimizing performances, costs and energy consumption of an automated storage and retrieval system with double-deep storage rack, will be presented. While majority of literature considers single objective function at a time, this model simultaneously optimizes three objective functions (minimum: investment costs, cycle time, CO2 emission) for a double-deep AS/RS. Analyses are performed in regard to different fillgrade factor of SR. For optimization, NSGA II algorithm is used as a tool to find Pareto optimal solutions. Since AS/RS require high initial investments, and are not flexible in terms of layout or other organizational changes once to system is built, this model could potentially be a very useful tool for warehouse designers in initial stages of planning.
PB  - University of Belgrade, Faculty of Mechanical Engineering
C3  - Proceedings of the XXII International Conference MHCL 2017
T1  - Multi-objective optimization model for double-deep automated storage and retrieval systems
EP  - 194
SP  - 189
UR  - https://hdl.handle.net/21.15107/rcub_machinery_6277
ER  - 

@conference{
author = "Rajković, Miloš and Zrnić, Nenad and Kosanić, Nenad and Borovinšek, Matej and Lerher, Tone",
year = "2017",
abstract = "In the following paper, a new multi-objective optimization model for optimizing performances, costs and energy consumption of an automated storage and retrieval system with double-deep storage rack, will be presented. While majority of literature considers single objective function at a time, this model simultaneously optimizes three objective functions (minimum: investment costs, cycle time, CO2 emission) for a double-deep AS/RS. Analyses are performed in regard to different fillgrade factor of SR. For optimization, NSGA II algorithm is used as a tool to find Pareto optimal solutions. Since AS/RS require high initial investments, and are not flexible in terms of layout or other organizational changes once to system is built, this model could potentially be a very useful tool for warehouse designers in initial stages of planning.",
publisher = "University of Belgrade, Faculty of Mechanical Engineering",
journal = "Proceedings of the XXII International Conference MHCL 2017",
title = "Multi-objective optimization model for double-deep automated storage and retrieval systems",
pages = "194-189",
url = "https://hdl.handle.net/21.15107/rcub_machinery_6277"
}

Rajković, M., Zrnić, N., Kosanić, N., Borovinšek, M.,& Lerher, T.. (2017). Multi-objective optimization model for double-deep automated storage and retrieval systems. in Proceedings of the XXII International Conference MHCL 2017
University of Belgrade, Faculty of Mechanical Engineering., 189-194.
https://hdl.handle.net/21.15107/rcub_machinery_6277

Rajković M, Zrnić N, Kosanić N, Borovinšek M, Lerher T. Multi-objective optimization model for double-deep automated storage and retrieval systems. in Proceedings of the XXII International Conference MHCL 2017. 2017;:189-194.
https://hdl.handle.net/21.15107/rcub_machinery_6277 .

Rajković, Miloš, Zrnić, Nenad, Kosanić, Nenad, Borovinšek, Matej, Lerher, Tone, "Multi-objective optimization model for double-deep automated storage and retrieval systems" in Proceedings of the XXII International Conference MHCL 2017 (2017):189-194,
https://hdl.handle.net/21.15107/rcub_machinery_6277 .

TY  - JOUR
AU  - Rajković, Miloš
AU  - Zrnić, Nenad
AU  - Kosanić, Nenad
AU  - Borovinšek, Matej
AU  - Lerher, Tone
PY  - 2017
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/2553
AB  - U predstavljenom radu, diskutovano je i vršena je evaluacija višeciljne optimizacije automatskih skladišnih sistema. S obzirom da je većina istraživača u oblasti manipulacije materijalom i logistici, vršila optimizaciju promenljivih samo sa jednom funkcijom cilja (najčešće je to funkcija minimalno vreme ciklusa, maksimalni intenzitet opsluživanja, minimalna cena, tj. troškovi, maksimalna energetska efikasnost, itd.), predložen je model višeciljne optimizacije (sa trima funkcijama cilja: minimalni troškovi - minimalno vreme ciklusa - minimalna emisija CO2, odnosno maksimalna energetska efikasnost). Za optimizaciju promenljivih u funkcijama cilja, korišćeni su genetski algoritmi. Da bismo pronašli optimalna Pareto rešenja, upotrebili smo NSGA II genetske algoritme. Glavni zadatak našeg doprinosa jeste da se utvrde performanse automatskog skladišnog sistema, u skladu sa procedurom višeciljne optimizacije. Rezultati predloženog modela, mogu biti od koristi projektantima u ranim fazama projektovanja automatskog skladišnog sistema.
AB  - A multi-objective optimization of automated warehouses is discussed and evaluated in the present paper. Since most of the researchers in material handling community had performed optimization of decision variables with single objective function only (usually named with minimum travel time, maximum throughput capacity, minimum cost, maximum energy efficiency, etc.), the multi-objective optimization (cost - travel time - CO2 emission/ energy efficiency) will be presented. For the optimization of decision variables in objective functions, the method with genetic algorithms was used. To find the Pareto optimal solutions, the NSGA II genetic algorithm was used. The main objective of our contribution is to determine the performance of the system according to the multi-objective optimization technique. The results of the proposed model could be useful tool for the warehouse designer in the early stage of warehouse design.
PB  - Univerzitet u Beogradu - Mašinski fakultet, Beograd
T2  - FME Transactions
T1  - Višeciljni optimizacioni model za minimiziranje troškova, vremena ciklusa i emisije Co2 u automatskom skladišnom sistemu
T1  - A multi-objective optimization model for minimizing cost, travel time and Co2 emission in an AS/RS
EP  - 629
IS  - 4
SP  - 620
VL  - 45
DO  - 10.5937/fmet1704620R
ER  - 

@article{
author = "Rajković, Miloš and Zrnić, Nenad and Kosanić, Nenad and Borovinšek, Matej and Lerher, Tone",
year = "2017",
abstract = "U predstavljenom radu, diskutovano je i vršena je evaluacija višeciljne optimizacije automatskih skladišnih sistema. S obzirom da je većina istraživača u oblasti manipulacije materijalom i logistici, vršila optimizaciju promenljivih samo sa jednom funkcijom cilja (najčešće je to funkcija minimalno vreme ciklusa, maksimalni intenzitet opsluživanja, minimalna cena, tj. troškovi, maksimalna energetska efikasnost, itd.), predložen je model višeciljne optimizacije (sa trima funkcijama cilja: minimalni troškovi - minimalno vreme ciklusa - minimalna emisija CO2, odnosno maksimalna energetska efikasnost). Za optimizaciju promenljivih u funkcijama cilja, korišćeni su genetski algoritmi. Da bismo pronašli optimalna Pareto rešenja, upotrebili smo NSGA II genetske algoritme. Glavni zadatak našeg doprinosa jeste da se utvrde performanse automatskog skladišnog sistema, u skladu sa procedurom višeciljne optimizacije. Rezultati predloženog modela, mogu biti od koristi projektantima u ranim fazama projektovanja automatskog skladišnog sistema., A multi-objective optimization of automated warehouses is discussed and evaluated in the present paper. Since most of the researchers in material handling community had performed optimization of decision variables with single objective function only (usually named with minimum travel time, maximum throughput capacity, minimum cost, maximum energy efficiency, etc.), the multi-objective optimization (cost - travel time - CO2 emission/ energy efficiency) will be presented. For the optimization of decision variables in objective functions, the method with genetic algorithms was used. To find the Pareto optimal solutions, the NSGA II genetic algorithm was used. The main objective of our contribution is to determine the performance of the system according to the multi-objective optimization technique. The results of the proposed model could be useful tool for the warehouse designer in the early stage of warehouse design.",
publisher = "Univerzitet u Beogradu - Mašinski fakultet, Beograd",
journal = "FME Transactions",
title = "Višeciljni optimizacioni model za minimiziranje troškova, vremena ciklusa i emisije Co2 u automatskom skladišnom sistemu, A multi-objective optimization model for minimizing cost, travel time and Co2 emission in an AS/RS",
pages = "629-620",
number = "4",
volume = "45",
doi = "10.5937/fmet1704620R"
}

Rajković, M., Zrnić, N., Kosanić, N., Borovinšek, M.,& Lerher, T.. (2017). Višeciljni optimizacioni model za minimiziranje troškova, vremena ciklusa i emisije Co2 u automatskom skladišnom sistemu. in FME Transactions
Univerzitet u Beogradu - Mašinski fakultet, Beograd., 45(4), 620-629.
https://doi.org/10.5937/fmet1704620R

Rajković M, Zrnić N, Kosanić N, Borovinšek M, Lerher T. Višeciljni optimizacioni model za minimiziranje troškova, vremena ciklusa i emisije Co2 u automatskom skladišnom sistemu. in FME Transactions. 2017;45(4):620-629.
doi:10.5937/fmet1704620R .

Rajković, Miloš, Zrnić, Nenad, Kosanić, Nenad, Borovinšek, Matej, Lerher, Tone, "Višeciljni optimizacioni model za minimiziranje troškova, vremena ciklusa i emisije Co2 u automatskom skladišnom sistemu" in FME Transactions, 45, no. 4 (2017):620-629,
https://doi.org/10.5937/fmet1704620R . .

TY  - JOUR
AU  - Jerman, Boris
AU  - Zrnić, Nenad
AU  - Jenko, Matjaz
AU  - Lerher, Tone
PY  - 2017
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/2581
AB  - Fully automated electrically powered stacker cranes are the most common transportation devices used in automated high bay warehouses. When high throughputs are attained, the amount of the electric energy used is high. Taking this into account, together with relatively high rack configuration the energy saving by employing the regeneration of potential energy during the lowering of the stored goods seems to be a promising choice. In the paper real life data for deployment of four stacker cranes in high bay warehouse of bigger dairy is introduced and analysed. The cranes' working cycles are determined and their energy consumption is estimated. Finally, the probable energy and costs savings are determined taking into account the regenerated energy for crane operations and lower energy consumption for refrigeration purposes.
PB  - Univ Osijek, Tech Fac, Slavonski Brod
T2  - Tehnički vjesnik
T1  - Energy regeneration in automated high bay warehouse with stacker cranes
EP  - 1416
IS  - 5
SP  - 1411
VL  - 24
DO  - 10.17559/TV-20161219112306
ER  - 

@article{
author = "Jerman, Boris and Zrnić, Nenad and Jenko, Matjaz and Lerher, Tone",
year = "2017",
abstract = "Fully automated electrically powered stacker cranes are the most common transportation devices used in automated high bay warehouses. When high throughputs are attained, the amount of the electric energy used is high. Taking this into account, together with relatively high rack configuration the energy saving by employing the regeneration of potential energy during the lowering of the stored goods seems to be a promising choice. In the paper real life data for deployment of four stacker cranes in high bay warehouse of bigger dairy is introduced and analysed. The cranes' working cycles are determined and their energy consumption is estimated. Finally, the probable energy and costs savings are determined taking into account the regenerated energy for crane operations and lower energy consumption for refrigeration purposes.",
publisher = "Univ Osijek, Tech Fac, Slavonski Brod",
journal = "Tehnički vjesnik",
title = "Energy regeneration in automated high bay warehouse with stacker cranes",
pages = "1416-1411",
number = "5",
volume = "24",
doi = "10.17559/TV-20161219112306"
}

Jerman, B., Zrnić, N., Jenko, M.,& Lerher, T.. (2017). Energy regeneration in automated high bay warehouse with stacker cranes. in Tehnički vjesnik
Univ Osijek, Tech Fac, Slavonski Brod., 24(5), 1411-1416.
https://doi.org/10.17559/TV-20161219112306

Jerman B, Zrnić N, Jenko M, Lerher T. Energy regeneration in automated high bay warehouse with stacker cranes. in Tehnički vjesnik. 2017;24(5):1411-1416.
doi:10.17559/TV-20161219112306 .

Jerman, Boris, Zrnić, Nenad, Jenko, Matjaz, Lerher, Tone, "Energy regeneration in automated high bay warehouse with stacker cranes" in Tehnički vjesnik, 24, no. 5 (2017):1411-1416,
https://doi.org/10.17559/TV-20161219112306 . .

TY  - CONF
AU  - Lerher, Tone
AU  - Strmčnik, V.
AU  - Potrč, I.
AU  - Šraml, M.
AU  - Jerman, Boris
AU  - Zrnić, Nenad
PY  - 2016
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/2403
AB  - Order picking is the process of retrieving items from the warehouse in response to a specific customer request. The design of an order picking system is often complicated and complex due to a large spectrum of external and internal factors, which influence the design choices. The most common objective of order picking systems during the design phase is to maximize the service level subject to reduce constraints such as labour, machines and capital. Therefore, the main objective of our paper is to present different policies for routing order pickers in one-block warehouse. Regarding the proposed routing policies, the effects on the order picking system performance will be presented.
PB  - AGH University of Science and Technology
C3  - 13th International Conference on Industrial Logistics, ICIL 2016 - Conference Proceedings
T1  - Simulation-based performance analysis of order picking systems
EP  - 155
SP  - 144
UR  - https://hdl.handle.net/21.15107/rcub_machinery_2403
ER  - 

@conference{
author = "Lerher, Tone and Strmčnik, V. and Potrč, I. and Šraml, M. and Jerman, Boris and Zrnić, Nenad",
year = "2016",
abstract = "Order picking is the process of retrieving items from the warehouse in response to a specific customer request. The design of an order picking system is often complicated and complex due to a large spectrum of external and internal factors, which influence the design choices. The most common objective of order picking systems during the design phase is to maximize the service level subject to reduce constraints such as labour, machines and capital. Therefore, the main objective of our paper is to present different policies for routing order pickers in one-block warehouse. Regarding the proposed routing policies, the effects on the order picking system performance will be presented.",
publisher = "AGH University of Science and Technology",
journal = "13th International Conference on Industrial Logistics, ICIL 2016 - Conference Proceedings",
title = "Simulation-based performance analysis of order picking systems",
pages = "155-144",
url = "https://hdl.handle.net/21.15107/rcub_machinery_2403"
}

Lerher, T., Strmčnik, V., Potrč, I., Šraml, M., Jerman, B.,& Zrnić, N.. (2016). Simulation-based performance analysis of order picking systems. in 13th International Conference on Industrial Logistics, ICIL 2016 - Conference Proceedings
AGH University of Science and Technology., 144-155.
https://hdl.handle.net/21.15107/rcub_machinery_2403

Lerher T, Strmčnik V, Potrč I, Šraml M, Jerman B, Zrnić N. Simulation-based performance analysis of order picking systems. in 13th International Conference on Industrial Logistics, ICIL 2016 - Conference Proceedings. 2016;:144-155.
https://hdl.handle.net/21.15107/rcub_machinery_2403 .

Lerher, Tone, Strmčnik, V., Potrč, I., Šraml, M., Jerman, Boris, Zrnić, Nenad, "Simulation-based performance analysis of order picking systems" in 13th International Conference on Industrial Logistics, ICIL 2016 - Conference Proceedings (2016):144-155,
https://hdl.handle.net/21.15107/rcub_machinery_2403 .