The Concept of Intelligent System for Horizontal Transport in a Copper Ore Mine

Chlebus, Tomasz; Stefaniak, Paweł

doi:10.1007/978-3-642-28931-6_26

Cited by 2 publications

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“…The assessment of the system stability is a typical task of the qualitative analysis. Stability in a very broad sense means permanency (invariability over time) of a system feature or a certain series of states of the system [4,6].…”

Section: Introductionmentioning

confidence: 99%

Artificial Neural Networks as Tools for Controlling Production Systems and Ensuring Their Stability

Burduk

2013

Lecture Notes in Computer Science

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Part 8: Industrial ApplicationsInternational audienceModels of artificial neural networks can be used to control a production system, and thus to ensure its stability. Such models are very useful tools, because they can be built quickly and easily. The only issue is a large amount of data needed in the neural network training process. However, in the era of common availability of IT systems, the parameterization and standardization of production processes is not a problem anymore. Contemporary production systems are mostly automated and metered. This paper presents a method for building a model of an artificial neural network for controlling a wire harness production system and determining its stability

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Section: Introductionmentioning

confidence: 99%

Artificial Neural Networks as Tools for Controlling Production Systems and Ensuring Their Stability

Burduk

2013

Lecture Notes in Computer Science

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“…Simulation has become a commonly used tool to engineer production systems. [3], [9] Modelling by simulation is one of the most important supporting techniques allowing to cut production time of a new product and its market roll-out. Naturally, it is possible to investigate real production systems, however, it is not economically viable.…”

Section: Introductionmentioning

confidence: 99%

Achieving Desired Cycle Times by Modelling Production Systems

Juszczyński

Kowalski

2013

Computer Information Systems and Industrial Management

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Abstract. Modelling and simulating discrete production processes issues were discussed in this paper. Electric scooter production line at the start-up stage was analysed. Requirements towards its efficiency were change before the line going on-line. Simulation model used production plans, drafted prior to starting production. It considered among other adding machinery, increase production capacity, process of production and transport, transport routes, layout, material flow, human resources and means of transport.The manufacturing process was designed to use KANBAN. Hence simulation models including various alternative solutions of Technical and Organisational Production Set-up were used to verify whether 12 minute cycle time was achieved. Modification to the production system included among other interchangeability of workstations and operators. Consequently bottle necks in the production process were eliminated.The project discussed in this paper proves feasibility and validity of combining simulation of production systems with Lean Manufacturing tools.

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The Concept of Intelligent System for Horizontal Transport in a Copper Ore Mine

Cited by 2 publications

References 0 publications

Artificial Neural Networks as Tools for Controlling Production Systems and Ensuring Their Stability

Artificial Neural Networks as Tools for Controlling Production Systems and Ensuring Their Stability

Achieving Desired Cycle Times by Modelling Production Systems

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