Improved Efficiency of Manufacturing Logistics by Using Computer Simulation

Straka, Martin; Špirková, Daniela; Filla, M.

doi:10.2507/ijsimm20-3-567

Cited by 11 publications

(10 citation statements)

References 20 publications

(21 reference statements)

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“…In recent decades, great changes have taken place in urban management. Modern information technologies such as big data [25][26], Computer Simulation [27][28] are used, which can effectively improve the level of urban intelligent management. Zhang et al (2016) analyzed urban rainwater management modelling based on data science [29].…”

Section: Literaturementioning

confidence: 99%

A TOPSIS and DEA Based Approach to Evaluate the Operational Efficiency of Sponge City

2023

Teh. vjesn.

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As an innovative means to promote low-carbon and ecological development of cities, sponge cities have attracted extensive attention from industry and scholars. Measuring the operation efficiency of a sponge city can effectively measure whether the current input and output are reasonable, whether the management and operation are scientific, etc., which can find out the weaknesses in the current process and management. This paper proposes an evaluation method of interval cross-efficiency combined with TOPSIS and DEA to measure the operating efficiency of a sponge city. Specifically, an evaluation system, that includes three inputs and six outputs, is established at first from the perspective of input and output. Secondly, due to the uncertainty of the natural environment, two DEA models of benevolent and aggressive models are adopted to obtain the cross-efficiency interval value of a sponge city. Next, the cross-efficiency interval values are aggregated based on TOPSIS, and then, the descending principle is introduced to rank sponge cities to obtain the optimal operation efficiency cities. Finally, a case is used to verify the effectiveness of the proposed method. The research idea of this paper is clear, the research method is simple, and the research results can provide a basis for building an efficient and high-level sponge city.

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Section: Literaturementioning

confidence: 99%

A TOPSIS and DEA Based Approach to Evaluate the Operational Efficiency of Sponge City

2023

Teh. vjesn.

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“…It will offer specific object identification, sensor, and connectivity options as a basis for the independent development of cooperative services and applications. They will be characterized by a high degree of autonomy in data capture, event transmission, network connectivity, and interoperability [3].…”

Section: Internet Of Things (Iot)mentioning

confidence: 99%

The usage of RFID robots in logistics process management

Trebuňa¹,

Matiscsak²,

Kliment³

et al. 2023

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The aim of this post is to point out the use of RFID robots in the management of logistics processes. RFID technology is defined first. RFID technology represents identification using radio frequency waves. The principle is to store the necessary data in radio frequency memory chips and then repeatedly read or write the data using a reader. We divide RFID chips into active and passive. Active RFID chips use energy from a battery, while passive RFID chips are a technology without an internal power source. Passive RFID is the most common form of RFID in warehouses, using which inventory is taken using RFID robots or hand-held RFID readers. Nowadays, many RFID robots from different manufacturers are available on the market. When choosing, I must consider where we want to use the RFID robot and choose the one that suits us based on its specific characteristics. The RFID robot is a mobile and autonomous RFID system that performs an inventory of the given space based on our initial setup. The RFID robot locates each item in 2 dimensions (x and y). Most robots can move in all directions because they can rotate without shifting. The accuracy of the inventory using the RFID robot ranges from 95-99%, while the accuracy of the inventory performed by employees using handheld RFID readers ranges from 85-95%. As for speed, it is on average 10 times faster compared to manual RFID readers.

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“…A computer simulation model highly depends on the quality of available data [22]. The various forms of validations often require a comparison of some part of the model with the realworld data.…”

Section: Conceptual and Computer Modelmentioning

confidence: 99%

Combining Simulation and Data Analytics for OEE Improvement

Lindegren¹,

Lunau²,

Mafia³

et al. 2022

Int. j. simul. model.

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Overall Equipment Effectiveness (OEE) is a productivity performance metric widely used in industry to support production control decisions. However, there is still a gap in organisational procedures to systematically identify and address the most promising opportunities to improve the production setup. In this study, we propose and demonstrate a data-driven approach for increasing OEE by combining the strengths of discrete-event simulation with data analytics tools and methods, which provides a risk-free test environment that forms the basis for data-driven decisions and supports revealing production interdependencies. Therefore, this approach eases the process for practitioners to proactively identify production losses and forecast the outcome of the most promising selected improvement measures. A case study is performed to illustrate the potentialities of the proposed approach, demonstrating the interdependence between the processes and the improvement measures, and the knock-on effect both upstream and downstream. The results yield substantial insights and facilitate operational decisionmaking for managers.

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Improved Efficiency of Manufacturing Logistics by Using Computer Simulation

Cited by 11 publications

References 20 publications

A TOPSIS and DEA Based Approach to Evaluate the Operational Efficiency of Sponge City

A TOPSIS and DEA Based Approach to Evaluate the Operational Efficiency of Sponge City

The usage of RFID robots in logistics process management

Combining Simulation and Data Analytics for OEE Improvement

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