Functional Modeling View on Product and Process Engineering in Design and Operations

Jørgensen, Sten Bay; Lind, Morten; Jensen, Niels

doi:10.1021/acs.iecr.8b06338

Cited by 8 publications

(3 citation statements)

References 124 publications

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“…Functional modeling describes the intents, functions and structures of a social-technical system. 11,12 Since any social-technical system is designed with purposes, the intents of the system are introduced in the functional modeling framework. It makes functional modeling consistent with human cognitive capability.…”

Section: Literature Reviewmentioning

confidence: 99%

Integrating condition-based monitoring with process sensors information for operation and maintenance in a functional modeling framework

Zhang

2023

Proceedings of the Institution of Mechanical Engineers, Part O:

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Safe operations and adequate maintenance are two main means to achieve reliable production and reduce downtime of a plant. While the tasks of operations and maintenance are carried out by two different groups of staff, as a result, the close relationship between the two tasks is split. In this paper, this challenge is handled by a proposed integrated functional modeling framework. In this framework, the Multilevel Flow Modeling (MFM) method with its cause-consequence reasoning rules is used. Condition-based monitoring is a well-accepted strategy for predictive maintenance and fault detection based on measurements is a well-developed technology for operation support. Information fusion including monitoring conditions of assets and process sensors information for both operation and maintenance in the same modeling framework is desired. The qualitative relationship distribution between operations and maintenance can be established based on the function states of the system. In addition, these relationships are visible for both groups of staff. As a result, the detected information in the early stage of the development of the unpleasant scenarios is used to improve their situation awareness, so that the undesired emergency shutdown from both perspectives of operation and maintenance is prevented. Consequently, it can reduce production loss. A case study of operations and maintenance of a seawater injection system is carried out and shows the industrial applicability of the proposed framework. The case study strongly reveals that there is a highly close relation between operation and maintenance for ensuring the system working properly. It demonstrates that the proposed integrated framework is not only able to support operational tasks but also for the maintenance tasks by including relevant maintenance information of the system. The results show that it can potentially help with decreasing downtime of the system.

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Section: Literature Reviewmentioning

confidence: 99%

Integrating condition-based monitoring with process sensors information for operation and maintenance in a functional modeling framework

Zhang

2023

Proceedings of the Institution of Mechanical Engineers, Part O:

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“…ese are the problems that need to be solved in the product design of manufacturing industry. Jrgensen et al deal with various model-based tasks in product and process integration, design, innovation, and operation through functional modeling, and transform modeling objectives into required system attributes [4]. Guo et al proposed the design scheme of "demand industrial design innovation market demand" based on industrial intelligence and big data technology.…”

Section: Related Workmentioning

confidence: 99%

Big Data-Driven Product Innovation Design Modeling and System Construction Method

Xue¹,

2022

Mathematical Problems in Engineering

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In order to improve the image quality of innovative design of manufacturing products, reduce the dependence on experts, increase the amount of research data, and accurately sort and select the best alternatives, this paper proposes the KENPI method, which integrates perceptual engineering and neural style transfer, normalizes the content map through nm model, realizes style transfer, and generates new product images. Use ORDD perceptual engineering to collect a large number of perceptual word data, establish product semantic space, use TF-EPA to obtain perceptual words, and use word clustering combined with degree adverbs to evaluate the sensibility of products. Under the KE-GRA-TOPSIS method, considering user preferences, accurately sort and select the product design alternatives with multiple criteria, and establish the auxiliary system of product innovative design. The experimental results show that the style transfer effect of nm model is better, the style intensity of the product is enhanced, and the average texture evaluation of sample 3 is increased by 0.30 points. The average absolute value of DOD phrase in BP neural network is 0.0765, which is lower than the MLR method, and the performance of the former is better than the latter. The relative closeness of A6 scheme under KE-GRA-TOPSIS method is 0.57, which is 0.02 higher than the KT method, indicating that the KE-GRA-TOPSIS method is better than the KT method. The research improves the way of obtaining user demand data, enhances the strength of and product style, and improves the competitiveness of products.

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“…Rather than attempting to actually do such a comparison and make such a choice, a more scalable approach might be to find a way to automate such comparisons through a universal mechanism for defining the problem of consciousness or cognition, and through a universal mechanism for measuring fitness in solving that problem, so that it is more possible to compare the fitness of all available models to discover which component of each model offers the best understanding. Functional modeling approaches have long been used in various engineering domains [21], [22], [23], [24], [25], [26], [27], [28], because functional components with well defined interfaces remove the need to understand other work, creating the capacity for teams spread across a great variety of different disciplines to productively work on a single complex problem. The human-centric Functional Modeling Framework (FMF) described in this paper aims to provide a methodology for defining all conceptual entities according to the functions of those entities that can be observed in conscious human awareness.…”

Section: Introductionmentioning

confidence: 99%

A Human-Centric Functional Modeling Framework for Defining and Comparing Models of Consciousness and Cognition

Ae¹

2020

Preprint

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Borrowing techniques from complex systems and software engineering, this paper defines a Functional Modeling Framework to provide a simple common mechanism for representing models of consciousness or cognition that is independent of assumptions made by any specific model. All models of consciousness or cognition should of course fit into the complete set of functions of what consciousness, or cognition can do. Through attempting to represent all such functions (both computable and non-computable), this framework attempts to gain the capacity to represent all models of consciousness or cognition, even where the implementation mechanisms of those functions are unknown. Enabling different models of consciousness or cognition to be more easily compared is intended to enable research on consciousness and cognition to more reliably converge on a single understanding, even across massively collaborative research projects spanning multiple disciplines. Furthermore, if biological functionality can be considered as dynamically stable where it is persistent, then in aiming to provide a common approach for representing and comparing the functionalities of consciousness or cognition as dynamically stable systems, this framework provides a set of features through which it may be possible to see commonality between the functional components of a wide range of other dynamically stable biological or non-biological systems. If such commonality does exist, and if, as proposed, that commonality reflects deeper underlying physical and mathematical principles, then representing any researcher’s model of consciousness or cognition within this framework might help reveal applications of that researcher’s model across a wide range of other domains of study.

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Functional Modeling View on Product and Process Engineering in Design and Operations

Cited by 8 publications

References 124 publications

Integrating condition-based monitoring with process sensors information for operation and maintenance in a functional modeling framework

Integrating condition-based monitoring with process sensors information for operation and maintenance in a functional modeling framework

Big Data-Driven Product Innovation Design Modeling and System Construction Method

A Human-Centric Functional Modeling Framework for Defining and Comparing Models of Consciousness and Cognition

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