Neural network simulation metamodels and genetic algorithms in analysis and design of manufacturing cells

Vosniakos, George–Christopher; Tsifakis, Alexander; Benardos, Panorios

doi:10.1007/s00170-005-2535-y

Cited by 10 publications

(3 citation statements)

References 23 publications

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“…Researchers use NN to approximate multi-dimensional influencing variables or combinations of the influencing variables [12]. According to Vosniakos et al a manufacturing cell can be modelled using cell performance estimation through NNs [13].…”

Section: Literature Analysismentioning

confidence: 99%

Neural network application for time standards setting in assembly and disassembly

Kutschenreiter-Praszkiewicz¹

2020

Journal of Machine Engineering

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Time standards belong to the key indicators of production process effectiveness. The paper discusses time standard setting in the production process. One of the important stages of the production process is assembly, which is a crucial stage in case of manufacturing customized products. The aim of the article is to show the methods of time standard setting which facilitate assembly planning. Specific goals of the article are focused on finding common attributes useful in assembly tasks characteristics and changeover, as well as finding value intervals helpful in assembly description. Shortening the product lifecycle, new product development and product customization bring about the development of a modular reconfigurable assembly line. The development of flexible assembly lines requires standards related to typical assembly tasks and tools. Reconfiguration and balancing assembly lines require a knowledge base related to time standards. This article presents examples of typical tasks, tools and time standards for planning product assembly and changeover which use the assembly and disassembly processes.

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Section: Literature Analysismentioning

confidence: 99%

Neural network application for time standards setting in assembly and disassembly

Kutschenreiter-Praszkiewicz¹

2020

Journal of Machine Engineering

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“…Based on literature studies [3,9,23,29,33] and some preliminary test of optimisation software, the following conditions were assumed: -population size: 200, -total number of generations: 200, -probability of crossover: 0.9, -probability of mutation: 0.01, -penalty function coefficient: 0.01, -selection method: tournament, -number of game participants: 4.…”

Section: Optimisation Of Final Segmentsmentioning

confidence: 99%

Optimisation of CNC routing operations of wooden furniture parts

Gawronski

2012

Int J Adv Manuf Technol

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The aim of this paper is to develop mathematical model and computational procedure for optimisation of feed rate at CNC routing operations of wooden furniture parts. The proposed approach takes into consideration special characteristics of solid wood, like changes in cutting forces and obtained surface quality along with cutting direction. A multistage optimisation procedure is developed, which employs binary search method and genetic algorithm. Because of the problem of full specification of feasible region in the form of inequalities, a fuzzy logic is used for correction of intermediate results within computational procedure. The developed method is verified by optimisation of routing operation of a typical furniture part, i.e. commode top. As a result of optimisation, the processing time is reduced by 54 %.

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“…The mathematical and subsequent simulation models are based on the system being simulated. Examples of good practice and theoretical bases for creating descriptive, mathematical and simulation models of production, logistics, business or generally socio-economic or other systems include, for example, Petri-based approaches [4], [5], [6], the multi-agent approach [7], [8], [9], [10], the hybrid approach [11], [12], the distributed approach [13], stochastic methods [14], [15], the heuristic approach [16], [17], [18], [19], neural networks [20], [21], [22] and others. Each of these approaches has different advantages, disadvantages and limitations for a particular situation.…”

Section: Introductionmentioning

confidence: 99%

The Cost-Based Lean Approach to the Information Logistics Business System Modelling

2019

CIT. J. comput. inf. technol

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The paper highlights the problems of modelling the complex logistics manufacturing system which is to meet the needs of the contemporary lean approach to manufacturing. It is assumed that the system consists of identically arranged and equipped subsystems, however, each of them is characterised by different operating and fixed costs. The software engineering method used to create the simulator of the discussed system is emphasised to show how the necessary assumptions turn the real manufacturing system into the mathematical model of the logistic-business system, and subsequently into the simulator. Manufacturing strategies as well as heuristic algorithms are introduced in order to control making the order. The case study presents the method of searching for the most adequate manufacturing subsystem for making the order on the basis of cost calculation. The key points responsible for excessive costs are detected. A thorough analysis based on modified operating as well as fixed costs is carried out. ACM CCS (2012) Classification: Computing methodologies → Artificial intelligence → Distributed artificial intelligence → Multi-agent systems Computing methodologies → Modeling and simulation → Model development and analysis → Modeling methodologies

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Neural network simulation metamodels and genetic algorithms in analysis and design of manufacturing cells

Cited by 10 publications

References 23 publications

Neural network application for time standards setting in assembly and disassembly

Neural network application for time standards setting in assembly and disassembly

Optimisation of CNC routing operations of wooden furniture parts

The Cost-Based Lean Approach to the Information Logistics Business System Modelling

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