Material Handling Equipment Selection Algorithm for Production Workplaces

Telek, Péter; Košťál, Peter

doi:10.32971/als.2022.011

Cited by 5 publications

(4 citation statements)

References 7 publications

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“…Numerous papers are dedicated to material handling equipment (MHE) selection in intralogistics. According to the papers' topics and space limitations, only characteristic papers [16][17][18][19][20][21][22][23] that are of interest from the perspective of the selection method are listed here. Chan et al [16] conducted an MHE selection in a warehouse using the AHP method for valuation.…”

Section: Literature Reviewmentioning

confidence: 99%

“…For comparison, they used the AHP method, applying the following criteria: investment costs, flexibility, return on investment, number of employees, service level, safety, and intensity of implementation. Telek and Koštal [22] considered potential technologies, such as bridge cranes, cantilever cranes, articulated cantilever cranes, collaborative robots, and conveyors. To solve the selection problem, a three-stage decisionmaking algorithm was developed: (i) identification of potentially applicable technologies at a specific workplace; (ii) review of physical parameters and limitations for a specific workplace; (iii) comparison of potentially applicable technologies.…”

Section: Literature Reviewmentioning

confidence: 99%

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A Novel Two-Stage Methodological Approach for Storage Technology Selection: An Engineering–FAHP–WASPAS Approach

Pavlov,

Đurdjević,

Andrejić

2023

Sustainability

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Storage technology selection is a very important design decision that greatly affects the future performance of a warehouse; for example, it greatly affects its costs. In making this decision, the designer is faced with a complex issue. It is necessary to select the appropriate option from a wider set of available technologies, taking into account numerous influencing factors. In design practice, solving this problem is primarily based on the experience of designers and the recommendations of manufacturers of these technologies. In the academic literature, this problem has not been properly posed and solved, so there are no papers that comprehensively address this complex design problem. The main goal of this paper is to fill that gap. The presented approach consists of two basic stages. In the first stage, starting from the definition of the project task, potential technologies are generated and critical factors are considered, in order to arrive at a set of acceptable technologies. In the second stage, these technologies are ranked, and a basis for decision making is created. This stage is based on multi-criteria decision making: the Fuzzy Analytic Hierarchy Process (FAHP) method is used to determine the weights of the criteria, and the Weighted Aggregated Sum Product Assessment (WASPAS) method is used to obtain the rankings. The application of the defined approach is tested on real assignments (distribution warehouse, production warehouse, and holding warehouse) and is proven to be applicable to solving these types of problems. The results obtained for the three tested examples prove the suitability of the application of the proposed approach in terms of the aspects of both the quality of the solution and the speed of obtaining it. Considering the practical application of the suggested and filling the recognized literature gap, evident contributions are achieved.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

A Novel Two-Stage Methodological Approach for Storage Technology Selection: An Engineering–FAHP–WASPAS Approach

Pavlov,

Đurdjević,

Andrejić

2023

Sustainability

View full text Add to dashboard Cite

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“…It means, that Industry 4.0 technologies are unavoidable in the design and operation of different supply chain solutions. These technologies are also important in in-plant facility location problems, where the design and operation of in-plant processes includes the selection of material handling equipment [18], the comparison of the different material handling solutions [19], and the process-based design planning of in-plant material handling [20]. The design of drone delivery services represents a special type of routing and facility location problems.…”

Section: Literature Reviewmentioning

confidence: 99%

Layout optimization of a multi-centre distribution mode

Vereš

Bányai

2023

ALS

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Supply chain planning is becoming increasingly important today, as it is essential for efficient operations to design supply chains that are flexible, sustainable, highly available and able to respond quickly and efficiently to dynamically changing customer needs, while operating cost-effectively. When designing supply chains, it is important to consider not only the investment cost but also the operational cost. This requires the most accurate forecasting of future supply chain needs. In this paper, the authors present a new method for the optimal design of a multicentre distribution network, which uses evolutionary optimisation and Monte Carlo simulation to determine the optimal distribution network structure in an arbitrary geographical area. The design takes into account investment and operational costs, with particular emphasis on the question of how to estimate the average transportation distances in a distribution network with an unknown structure.

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“…The virtual CO 2 , SO 2 , CO, HC, NO X , and PM emission depending on the generation source of the electricity is shown in Table 5. Other future research direction is the integration of milkrun design and the material handling equipment selection for production workplaces [40].…”

Section: Scenario 5: Agv-drone Joint In-plant Supply: Milkrun Supply ...mentioning

confidence: 99%

Energy Efficiency of AGV-Drone Joint In-Plant Supply of Production Lines

Bányai

2023

Energies

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Energy efficiency plays an increasingly important role not only in supply chains, but also in in-plant supply systems. Manufacturing companies are increasingly using energy-efficient material handling equipment to solve their in-plant material handling tasks. A new example of this effort is the use of drones for in-plant transportation of small components. Within the frame of this article, a new AGV-drone joint in-plant supply model is described. The joint service of AGV-based milkrun trolleys and drones makes it possible to optimize the in-plant supply in production lines. This article discusses the mathematical description of AGV-drone joint in-plant supply solutions. The numerical analysis of the different AGV-drone joint in-plant supply solutions shows that this new approach can lead to an energy consumption reduction of about 30%, which also has a significant impact on GHG emission.

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Material Handling Equipment Selection Algorithm for Production Workplaces

Cited by 5 publications

References 7 publications

A Novel Two-Stage Methodological Approach for Storage Technology Selection: An Engineering–FAHP–WASPAS Approach

A Novel Two-Stage Methodological Approach for Storage Technology Selection: An Engineering–FAHP–WASPAS Approach

Layout optimization of a multi-centre distribution mode

Energy Efficiency of AGV-Drone Joint In-Plant Supply of Production Lines

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