Modelling the complexity of manufacturing systems using nonlinear dynamics approaches

Papakostas, Nikolaos; Efthymiou, Konstantinos; Mourtzis, Dimitris; Chryssolouris, George

doi:10.1016/j.cirp.2009.03.032

Cited by 74 publications

(38 citation statements)

References 12 publications

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“…Although this problem is conceptually simpler, it is characterized by higher complexity [31,32]. A specific line configuration may be more efficient for a number of reasons, including the ability of better scheduling towards reducing idle times or the inclusion of machines able to switch to eco-mode or shut down when they are not operating.…”

Section: Energy Efficiency and Manufacturing Levelsmentioning

confidence: 99%

“…Such analysis clearly suggests that all defined operating states of the given process are varying in their mean power demand, timing, and therefore also in their energy amounts. The application of electricity control policies and tariffs has further complicated the system's optimization scheduling problem [31], since an optimized plan that leads to reduction in electricity consumption does not necessarily lead to reduction in the electricity cost. However, very little research [27,31,42] currently focuses on this problem, though it is important that the trade-off between electricity consumption reduction and cost saving be delivered.…”

Section: Energy Efficiency At the Production Line Levelmentioning

confidence: 99%

“…A particular reason for this fact is that the actual manufacturing systems are extremely variable, and many academic approaches are far from practical when used in an industrial environment. Overall, the complexity of the scheduling problem [31] and the increasingly important need for the optimization of a manufacturing system's performance in today's competitive world dictate the formulation of new, practical, ready-to-use methods in order for the production scheduling challenges to be addressed.…”

Section: Energy Efficiency At the Production Line Levelmentioning

confidence: 99%

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On a generalized approach to manufacturing energy efficiency

Fysikopoulos

Pastras

Alexopoulos

et al. 2014

Int J Adv Manuf Technol

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Energy efficiency has become a very significant factor, requiring its inclusion in the manufacturing decision-making attributes. This paper proposes a generalized approach to manufacturing energy efficiency. The basic element of the approach is the division of energy efficiency definition and study into four manufacturing levels, namely process, machine, production line, and factory. Process-level definitions are provided for the majority of manufacturing processes. A machine-level study indicates and solves difficulties, generated by the workpiece geometry, and points out the interaction with the process level through factors, such as the process time. Moreover, machine tool peripherals are responsible for a significant portion of the consumed energy, and classification based on the dependence of their consumption on process variables is required. Studies made on the production line and factory levels show that energy efficiency, at these levels, is heavily dependent on production planning and scheduling and can be improved through the appropriate utilization of machines, with the inclusion of shutdown and eco-modes. Finally, a case study is presented, showing that many of the difficulties towards the optimization of energy efficiency can be dealt with successfully, using the proposed generalized approach.

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Section: Energy Efficiency and Manufacturing Levelsmentioning

confidence: 99%

Section: Energy Efficiency At the Production Line Levelmentioning

confidence: 99%

Section: Energy Efficiency At the Production Line Levelmentioning

confidence: 99%

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On a generalized approach to manufacturing energy efficiency

Fysikopoulos

Pastras

Alexopoulos

et al. 2014

Int J Adv Manuf Technol

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“…The authors define the operational complexity as the amount of information needed to describe the state of deviation with respect to the ideal system, measuring the entropy of the waiting line of the system. Papakostas et al [20] propose a measure of dynamic complexity, inspired by the definition of the Lyapunov exponents, to determine the sensitivity of the variables with the complexity of the manufacture system. Zhang [21] proposes measures based on the entropy to calculate the static and dynamic complexity.…”

Section: Introductionmentioning

confidence: 99%

Proposal of Two Measures of Complexity Based on Lempel-Ziv for Dynamic Systems: An Application for Manufacturing Systems

Alfaro

Vargas

Fuertes

et al. 2018

Mathematical Problems in Engineering

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The measure of complexity of Lempel-Ziv (LZC) is used for the analysis of time series generated by dynamic systems with the objective of determining its complexity. This work measures LZC of different series coming from periodic functions, probabilistic functions, and chaotic systems. Later, these metrics of complexity are applied to the average of the number of parts in the waiting line in a manufacturing workshop. The results demonstrate the efficiency of the LZC to establish the level of the dynamic behavior of the manufacturing systems, through the time series.

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“…In general, complexity is not easy to measure, since it is difficult to define precisely. Obviously, there are many useful complexity definitions related to manufacturing systems (see, e.g., [5][6][7][8][9]). In addition, several approaches were proposed during the past decades to analyze the manufacturing complexity.…”

Section: Introductionmentioning

confidence: 99%

Novel Complexity Indicator of Manufacturing Process Chains and Its Relations to Indirect Complexity Indicators

Modrák

Šoltysová

2017

Complexity

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Manufacturing systems can be considered as a network of machines/workstations, where parts are produced in flow shop or job shop environment, respectively. Such network of machines/workstations can be depicted as a graph, with machines as nodes and material flow between the nodes as links. The aim of this paper is to use sequences of operations and machine network to measure static complexity of manufacturing processes. In this order existing approaches to measure the static complexity of manufacturing systems are analyzed and subsequently compared. For this purpose, analyzed competitive complexity indicators were tested on two different manufacturing layout examples. A subsequent analysis showed relevant potential of the proposed method.

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Modelling the complexity of manufacturing systems using nonlinear dynamics approaches

Cited by 74 publications

References 12 publications

On a generalized approach to manufacturing energy efficiency

On a generalized approach to manufacturing energy efficiency

Proposal of Two Measures of Complexity Based on Lempel-Ziv for Dynamic Systems: An Application for Manufacturing Systems

Novel Complexity Indicator of Manufacturing Process Chains and Its Relations to Indirect Complexity Indicators

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