A multi-objective optimization model for minimizing investment expenses, cycle times and CO2 footprint of an automated storage and retrieval systems

Rajković, Marija Grdić; Zrnić, Nenad; Kosanić, Nenad; Borovinšek, Matej; Lerher, Tone

doi:10.3846/transport.2019.9686

Cited by 6 publications

(3 citation statements)

References 27 publications

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“…Since it was first proposed by Deb [35], the NSGA-II algorithm has been widely used to solve MOOP problems [23,32]. The algorithm is also widely used in multi-objective optimization of automatic warehouse model [8,36,37]. In a multi-criteria decision-making theory, pareto optimality decision rationality is the necessary condition.…”

Section: Model Solutionmentioning

confidence: 99%

Modeling of Parallel Movement for Deep-Lane Unit Load Autonomous Shuttle and Stacker Crane Warehousing Systems

et al. 2020

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The autonomous shuttle and stacker crane (AC/SC) warehousing system, as a new automated deep-lane unit load storage/retrieval system, has been becoming more popular, especially for batch order fulfilment because of its high flexibility, low operational cost and improved storage capacity. This system consists of a shuttle sub-system that controls motion along the x-axis and a stacker crane sub-system that controls motion along the y-axis and z-axis. The combination of shuttles and a stacker crane performs storage and retrieval tasks. Modelling the parallel motion is an important design tool that can be used to calculate the optimal number of shuttles for a given configuration of the warehousing system. In this study, shuttle movements from one lane to another are inserted into the stock-keeping unit (SKU) task queue, and convert such that they are consistent with the retrieval tasks. The tasks are then grouped according to their starting lane, and converted to an assembly-line parallel job problem by analysing the operating mode with the objectives of minimising the total working time of the stacker crane and the wasted shuttle time. A time sequence mathematical model based on the motion of the shuttles and stacker crane is proposed, and an improved Pareto-optimal elitist non-dominated sorting genetic algorithm is used to solve this multi-objective optimization problem. The model is validated via a simulation study, and via a real-world warehousing case study. We go on to describe guidelines for the layout and configuration of AS/SC warehousing systems, including the optimal number of shuttles and number of x-axis storage cells of lanes, which can improve efficiency and minimise both capital investment and operating costs.

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Section: Model Solutionmentioning

confidence: 99%

Modeling of Parallel Movement for Deep-Lane Unit Load Autonomous Shuttle and Stacker Crane Warehousing Systems

et al. 2020

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“…A modern approach for optimising the investment expenses, the cycle times and the CO 2 footprint for automated storage and retrieval systems was presented by Rajkovic et al [21]. They presented a multi-objective optimisation model to simultaneously consider the different design criteria of automated storage and retrieval systems.…”

Section: Literaturementioning

confidence: 99%

Development of a method for the energy efficiency determination of stacker cranes in automated high-bay warehouses

Rücker¹,

Rief²,

Fottner³

2020

FME Transactions

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Modern intralogistic facilities fulfil important tasks within today's supply chains. Many different influences must be taken into account in their planning and construction. Current trends and circumstances show a strong tendency to build energy efficient and therefore environmentally friendly warehouses. This applies to the building technology of a warehouse and the intralogistic system used. Intralogistic facilities with an automated high-bay warehouse are very common and often operated by stacker cranes. This storage technology allows goods to be stored in a very volume and energy-efficient manner. The performance and energy demand of stacker cranes are influenced by a large number of parameters. To determine their energy efficiency is therefore complex. In this paper we present a method based on a simulation study which could be a possible solution for this problem.

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“…There are two major types: unit load AS/ RS and mini-load AS/RS. AS/RS in most cases is comprised of conveyors, Storage Racks (SR) and Automated Storage/Retrieval (S/R) machines [29]. Conventional AS/RS with a single route consists of a rack structure, a storage/retrieval crane with a single load handling device (shuttle), which serves the rack locations, the connection to other systems in the warehouse via input/output conveyors and the control system which schedules AS/RS operations.…”

Section: Connecting Risk Management Using Modern Warehouse Technologymentioning

confidence: 99%

The Importance of Risk Management for the Introduction of Modern Warehouse Technologies

Muha

Škerlič

Erčulj

2020

PROMET

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The purpose of the study is to determine whether the presence of risk management in a warehouse requires the implementation of modern warehouse technology. On the basis of the literature analysis, it was possible to determine that there is a correlation between the presence of the highest level of risk management and the use of modern warehouse technology in individual warehousing processes. For this purpose, a statistical analysis was carried out on a sample of companies operating in the Slovenian automotive industry. The results did not reveal a tangible correlation between the presence of risk management with the use of individual modern warehouse technology, the motivation for its use and errors in its use. The results of the study therefore, highlight the problems that are present in the warehousing system of the Slovenian companies in the automotive industry, which are related to substandard technological equipment in the warehouses and to the discrepancy between the level of manufacturing automation and the level of warehousing automation. The results are important for the Slovenian automotive industry in terms of the implementation of modern warehouse technology in the high-tech automotive industry.

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A multi-objective optimization model for minimizing investment expenses, cycle times and CO2 footprint of an automated storage and retrieval systems

Cited by 6 publications

References 27 publications

Modeling of Parallel Movement for Deep-Lane Unit Load Autonomous Shuttle and Stacker Crane Warehousing Systems

Modeling of Parallel Movement for Deep-Lane Unit Load Autonomous Shuttle and Stacker Crane Warehousing Systems

Development of a method for the energy efficiency determination of stacker cranes in automated high-bay warehouses

The Importance of Risk Management for the Introduction of Modern Warehouse Technologies

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