Reference model of milk-run traffic systems prototyping

Bocewicz, Grzegorz; Nielsen, Izabela; Gola, Arkadiusz; Banaszak, Zbigniew

doi:10.1080/00207543.2020.1766717

Cited by 20 publications

(6 citation statements)

References 35 publications

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“…Consequently, CP is suitable to model and solve complex problems [10]. CP includes search strategies that are crucial for improving search efficiency of solving a wide range of problems, for instance, planning and scheduling [11][12], manufacturing [13][14], and resource allocation [15][16].…”

Section: Fig 1 a Framework Of The Proposed Methodsmentioning

confidence: 99%

Cost Projections for the Product Life Cycle at the Early Stages of Product Development

Relich¹,

Bocewicz²,

Banaszak³

2021

Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems

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The paper is concerned with predicting the total cost of a new product and searching for cost reduction at the early stages of product development. The costs of a new product development project, product promotion, production and after-sales service are predicted using parametric models. The identified relationships are also used to searching for possibilities to reduce the cost of faulty products and after-sales service through increasing prototype tests. As a result, the trade-off between the cost of a product development project and costs of production and after-sales service are sought. Company resources and product specification are formulated in terms of variables and constraints that constitute the systems approach for a problem related to cost optimization. This problem is described in the form of a constraint satisfaction problem and implemented using constraint programming techniques. An example shows the applicability of the proposed approach in the context of searching for the desirable level of the cost related to prototype tests, faulty products and after-sales service. This study develops previous research in the context of adding the cost of after-sales service to a model of total costs of a new product. Moreover, the proposed method of predicting cost has been developed towards using the similarity value to data selection.

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Section: Fig 1 a Framework Of The Proposed Methodsmentioning

confidence: 99%

Cost Projections for the Product Life Cycle at the Early Stages of Product Development

Relich¹,

Bocewicz²,

Banaszak³

2021

Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems

Self Cite

View full text Add to dashboard Cite

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“…The benefits of using a digital environment scale up with the increase in the size of the vehicle fleet, especially when it is supervised by one operator only. When managing a fleet of robots, managerial staff can use the data collected by real objects and stored in the digital twin environment to produce statistics and calculate KPIs for the operation of the intralogistics system [ 39 , 40 , 41 ]. The archiving of data from real-world objects allows managers to obtain information on.…”

Section: The Application Of Amr In the Industrial Environment Of Industry 40mentioning

confidence: 99%

A Digital Twin Approach for the Improvement of an Autonomous Mobile Robots (AMR’s) Operating Environment—A Case Study

Stączek

Pizoń

Danilczuk

et al. 2021

Sensors

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The contemporary market creates a demand for continuous improvement of production, service, and management processes. Increasingly advanced IT technologies help designers to meet this demand, as they allow them to abandon classic design and design-testing methods in favor of techniques that do not require the use of real-life systems and thus significantly reduce the costs and time of implementing new solutions. This is particularly important when re-engineering production and logistics processes in existing production companies, where physical testing is often infeasible as it would require suspension of production for the testing period. In this article, we showed how the Digital Twin technology can be used to test the operating environment of an autonomous mobile robot (AMR). In particular, the concept of the Digital Twin was used to assess the correctness of the design assumptions adopted for the early phase of the implementation of an AMR vehicle in a company’s production hall. This was done by testing and improving the case of a selected intralogistics task in a potentially “problematic” part of the shop floor with narrow communication routes. Three test scenarios were analyzed. The results confirmed that the use of digital twins could accelerate the implementation of automated intralogistics systems and reduce its costs.

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“…When designing and implementing a new manufacturing system, introducing or implementing changes, several questions arise as to how to select the appropriate type of production facility, how to incorporate it into the production disposition, how to deal with tool logistics and chip management, how to select the appropriate type of transport and handling system (type, number, runways, speed) or for job shop scheduling [11][12][13]. Simulation as an optimisation tool is increasing on importance and can be used as a tool to validate proposed solutions without interference with the real system and errors is eliminating in the preparation phase [14,15].…”

Section: Introductionmentioning

confidence: 99%

Dynamic Simulation Tool for Planning and Optimisation of Supply Process

Grznár¹,

Gregor²,

Gašo³

et al. 2021

Int. j. simul. model.

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The article deals with the use of dynamic simulation tools for planning and optimising changes in the supply process carried out by an automated guided vehicle (AGV). The integration of new products and the overall increase of the production capacity of the assembly line in the automotive company are foreseen to overexpose some transport node. For problem-solving in practice was applied statisticalexperimental research method. The article in its core deals with the designing and creating of a simulation model of AGV-transport processes using dynamic simulation, which is designed to check the patency of routes, the feasibility of processes and detect bottlenecks. Three proposals to reduce logistics downtime were verified. Based on the results of the simulation, one was selected to be applied. After applying the solution, the production line tact increased by 35 %. Based on the results of the experiments conducted on the current situation simulation model, it is important to propose improvements to the AGV's management and transportation systems. The output is a design with virtual verification of a new supply process without bottlenecks.

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Reference model of milk-run traffic systems prototyping

Cited by 20 publications

References 35 publications

Cost Projections for the Product Life Cycle at the Early Stages of Product Development

Cost Projections for the Product Life Cycle at the Early Stages of Product Development

A Digital Twin Approach for the Improvement of an Autonomous Mobile Robots (AMR’s) Operating Environment—A Case Study

Dynamic Simulation Tool for Planning and Optimisation of Supply Process

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