Operation-based Configuration Complexity Measurement for Manufacturing System

Fan, Guoliang; Li, Aiping; Moroni, Giovanni; Xu, Liyun; Liu, Xuemei

doi:10.1016/j.procir.2017.03.136

Cited by 19 publications

(5 citation statements)

References 13 publications

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“…Greater weight was assigned to those criteria where experts had a more uniform opinion, thereby valuing the consensus. In the field of production logistics, entropy has been used as an indicator of the complexity of the production process (Guoliang et al , 2017; Deng et al , 2017; Zhang and David, 2018). More complex processes imply higher entropy and lower efficiency for general operation.…”

Section: Theoretical Frameworkmentioning

confidence: 99%

An entropy-based approach for disaster risk assessment and humanitarian logistics operations planning in Colombia

Rentería

Chong

Brito

et al. 2021

JHLSCM

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PurposeThis paper aims to design a vulnerability assessment model considering the multidimensional and systematic approach to disaster risk and vulnerability. This model serves to both risk mitigation and disaster preparedness phases of humanitarian logistics.Design/methodology/approachA survey of 27,218 households in Pueblo Rico and Dosquebradas was conducted to obtain information about disaster risk for landslides, floods and collapses. We adopted a cross entropy-based approach for the measure of disaster vulnerability (Kullback–Leibler divergence), and a maximum-entropy estimation for the reconstruction of risk a priori categorization (logistic regression). The capabilities approach of Sen supported theoretically our multidimensional assessment of disaster vulnerability.FindingsDisaster vulnerability is shaped by economic, such as physical attributes of households, and health indicators, which are in specific morbidity indicators that seem to affect vulnerability outputs. Vulnerability is heterogeneous between communities/districts according to formal comparisons of Kullback–Leibler divergence. Nor social dimension, neither chronic illness indicators seem to shape vulnerability, at least for Pueblo Rico and Dosquebradas.Research limitations/implicationsThe results need a qualitative or case study validation at the community/district level.Practical implicationsWe discuss how risk mitigation policies and disaster preparedness strategies can be driven by empirical results. For example, the type of stock to preposition can vary according to the disaster or the kind of alternative policies that can be formulated on the basis of the strong relationship between morbidity and disaster risk.Originality/valueEntropy-based metrics are not widely used in humanitarian logistics literature, as well as empirical data-driven techniques.

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Section: Theoretical Frameworkmentioning

confidence: 99%

An entropy-based approach for disaster risk assessment and humanitarian logistics operations planning in Colombia

Rentería

Chong

Brito

et al. 2021

JHLSCM

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“…The ele ments of the structural diagram are technological equipment that implements the process of preparing raw materials for pel letizing and the process of pelletizing itself (L. K. Kokorin, S. N. Leleko, 2004). Let us estimate the hierarchical level I 0 (n) of the considered system С 0 (n) for six separate subsystems С j (n) of the technological equipment, using the obtained formulas (4,6,8). The calculation results are summarized in Table 1.…”

Section: Consisting Of N Elements Connected In Seriesmentioning

confidence: 99%

“…Dynamic complexity is associated with reliability. In [8], a method based on the use of information entropy is used to measure the complexity of a production system configura tion. The article [7] proposes metrics of sensitivity and com plexity based on onetime values and system relationships.…”

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confidence: 99%

New aspects of the methodology for assessing the complexity of the structure of technological systems of the mining and metallurgical complex

Rud¹,

Bilonozhko²

2021

Nauk. visn. nat. hirn. univ.

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Purpose. To develop a new approach to evaluating the complexity of the structure of technological systems of mining and metallurgical complex with the proposed integrated index. The practical application of this indicator is due to the methodological difficulties arising when determining the hierarchical level of the elements of the systems studied. Methodology. A systematic approach is applied that allow us to explore industrial complexes of equipment as systems objects and present them in the form of technological systems. Methods of analysis and synthesis are used that allow us to identify common elements in the known methods for estimating the complexity of systems and to develop a new methodological approach to the process of decomposition systems. Methods of simulation of technological systems are applied, which allow submitting them in the form of models structural-element schemes. Findings. A new methodological approach is proposed to quantify the complexity of the structure of technological systems of mining and metallurgical complex, in which the process of decomposition of the system is performed by the method of successive cut-off of element connections with the system. Using the proposed decomposition method provides high accuracy and reliability when comparing technological systems with the structure of different hierarchical levels and consisting of a different number of subsystems and elements. Approbation of the developed method on the example of the pelletising plant pellets No. 2 of Pivnichnyi Mining and Processing Plant (Kryvyi Rih). It is shown that in the real technological systems the complexity of the structure occurs mainly due to the series connection of extra equipment rather than creating new relations. To increase the index of relative complexity of the technological system management structure, it is reasonable to use a combined series-parallel connection of additional technological equipment, which ensures the highest hierarchical level of the elements in the system. Originality. The originality of the new approach to assessing the complexity of structure of the technological systems of mining and metallurgical complex is to develop a method of decomposition of the system, the essence of which consists in the successive cutting off of the connection of the elements with the system. Practical value. The practical value of methodological approach the developed by the authors to estimate the complexity of the structure of the technological systems of the mining and metallurgical complex is that in contrast to the known method, the quantitative evaluation of system structure complexity is performed without performing the operation of the formal description of the structure. It provides high accuracy and reliability of the result, reduces the complexity of the evaluation process.

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“…One active area of research in manufacturing is measuring the complexity of manufacturing processes, as well as relating that complexity to properties of those processes, like potential for error [2]- [7]. But what level of complexity in manufacturing processes is not yet possible?…”

Section: The Limits To Complexity In Manufacturingmentioning

confidence: 99%

General Collective Intelligence as Biomimicry of Nature’s Design and Manufacturing Processes

Williams¹

2020

Preprint

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This paper explores the current limits to the complexity of design and manufacturing processes that can be reliably created or executed by humans, as well as exploring the general categories of products that can’t currently can’t reliably be manufactured as a consequence. This paper also explores how nature removes those barriers to complexity in its design and manufacturing, as well as how nature removes the barriers to the complex cooperation through which this complex design and manufacturing become sustainably viable, and how General Collective Intelligence replicates the adaptive problem solving processes by which nature does so. Finally, this paper explores why the type of products that can’t currently be manufactured, and why the patterns of complex cooperation that can’t currently be reliably executed, are both critically important, and therefore why General Collective Intelligence is critically important to the future of manufacturing.

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Operation-based Configuration Complexity Measurement for Manufacturing System

Cited by 19 publications

References 13 publications

An entropy-based approach for disaster risk assessment and humanitarian logistics operations planning in Colombia

An entropy-based approach for disaster risk assessment and humanitarian logistics operations planning in Colombia

New aspects of the methodology for assessing the complexity of the structure of technological systems of the mining and metallurgical complex

General Collective Intelligence as Biomimicry of Nature’s Design and Manufacturing Processes

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