Virtual engineering process (VEP): a knowledge representation approach for building bio-inspired distributed manufacturing DNA

Shafiq, Syed Imran; Sanín, Cesar; Toro, Carlos; Szczerbicki, Edward

doi:10.1080/00207543.2015.1125545

Cited by 25 publications

(6 citation statements)

References 21 publications

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“…The V-DNA structure of the engineering processes encompasses the manufacturing operations information, resources/machines information and the process level decisions information. The V-DNA structure is described as an experience-based knowledge representation of the engineering processes because it provides the company with a virtual environment of the manufacturing processes, which will support the decision-making process and optimize resources utilization and planning processes [93]. The other levels of the V-DNA structure encompass the decisions made regarding the loading/unloading work, transporting work, temporary storage, and quality control [13].…”

Section: The Virtual Organizational Deoxyribonucleic Acid (V-dna) Str...mentioning

confidence: 99%

Proposing a Smart Performance Management System for Production Workshop Based on Virtual Organizational Deoxyribonucleic Acid Concept

Ubaid,

Dweiri

2023

NJES

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This research aims to develop and validate a smart PMS. The PMS will create a foundation for PMSs that will be used by organizations in the digital era. A three-step methodology was used in the current research. First, the archival literature analysis was used to identify the features and elements of the robust PMSs. Second, a generic PMS was constructed based on the results of the first step. Third, the generic PMS was amended, implemented in the workshop, and validated by discussing the results with a focus group of experts. The academic and technical contribution can be seen in proposing a generic Virtual Organizational Deoxyribonucleic Acid (V-DNA) concept and smart PMS (Performance Management Dashboard (PMD) and Decision-Making Tool (DMT)) based on the features and elements of the robust PMSs. The generic V-DNA and PMS were amended and implemented in the stated workshop. Then, the validation process was done by presenting the implementation results to a focus group of academic experts and taking their feedback. Applying the PMD and the DMT to monitor, analyze, and manage workshop performance was successful. The PMD proved a useful tool that can provide a holistic view of the workshop performance areas instead of focusing on isolated business aspects such as workshop productivity or efficiency. The decision-makers directly identified the low-performing and highly performing KPIs/processes/sub-processes and identified the root causes of low and high performance. The DMT proved a useful tool. The decision-makers could evaluate all sub-processes and rank them based on the values and weights of the decision-making criteria, highlighting the areas that need improvement. The originality and novelty of the proposed PMS and the V-DNA were proved through a systematic literature review process. The implications of the research can be seen in the possibility of testing the generic V-DNA and the PMS templates in organizations of different sizes and sectors to check their applicability. Moreover, other layers of the organizational V-DNA can be proposed. The current research assists the practitioners and managers in constructing the PMSs they need for their workshops/factories/companies.

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Section: The Virtual Organizational Deoxyribonucleic Acid (V-dna) Str...mentioning

confidence: 99%

Proposing a Smart Performance Management System for Production Workshop Based on Virtual Organizational Deoxyribonucleic Acid Concept

Ubaid,

Dweiri

2023

NJES

View full text Add to dashboard Cite

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“…Implementation of Decisional Trust and Reliability [4] Virtual Engineering [5] Geothermal Energy, Renewable Energy and Net Income [6] Workflow-Centered Experience Management [7] Embedded Systems/Robotics [8] Knowledge Quantification [9] E-Decisional Community [10] Business Experience Management [11] Continuous Improvement in Experience Feedback [12] Interactive/Smart TV [13] Decision Support Medical Diagnosis Systems [14] Cyber Physical Systems for Industry 4.0 [15] Engineering Innovation Amplification [16] Cognitive Vision for Industrial Hazard Control [17] the treatment of experience in the buildup of the system9s meta-knowledge.…”

Section: Application Domain Referencementioning

confidence: 99%

Representing and Managing Experiential Knowledge with Decisional DNA and its Drimos® Extension

Szczerbicki¹,

Sanín²,

Sterling-Zuluaga³

2022

Annals of Computer Science and Information Systems

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“…It uses shape-related information of an object and experiential knowledge (formal decisions made) for decision-making. In a similar context, Shafiq et al [24] and Shafiq et al [25] coined two more concepts, namely Virtual Engineering Process (VEP) and Virtual Engineering Factory (VEF) for decision-making in process planning and factory optimization, respectively. Ahmed et al [26] and Ahmed et al [27] added that virtual abstractions of object, process, and factory associated with SOEKS and DDNA help smart knowledge management, which functionalizes the requirements of Industry 4.0.…”

Section: Literature Reviewmentioning

confidence: 99%

Machining Phenomenon Twin Construction for Industry 4.0: A Case of Surface Roughness

Ghosh

Ullah

Kubo

et al. 2020

JMMP

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Industry 4.0 requires phenomenon twins to functionalize the relevant systems (e.g., cyber-physical systems). A phenomenon twin means a computable virtual abstraction of a real phenomenon. In order to systematize the construction process of a phenomenon twin, this study proposes a system defined as the phenomenon twin construction system. It consists of three components, namely the input, processing, and output components. Among these components, the processing component is the most critical one that digitally models, simulates, and validates a given phenomenon extracting information from the input component. What kind of modeling, simulation, and validation approaches should be used while constructing the processing component for a given phenomenon is a research question. This study answers this question using the case of surface roughness-a complex phenomenon associated with all material removal processes. Accordingly, this study shows that for modeling the surface roughness of a machined surface, the approach called semantic modeling is more effective than the conventional approach called the Markov chain. It is also found that to validate whether or not a simulated surface roughness resembles the expected roughness, the outcomes of the possibility distribution-based computing and DNA-based computing are more effective than the outcomes of a conventional computing wherein the arithmetic mean height of surface roughness is calculated. Thus, apart from the conventional computing approaches, the leading edge computational intelligence-based approaches can digitize manufacturing processes more effectively.understanding, predicting, decision-making, and adapting [2,[4][5][6][7]. To achieve the above-mentioned requirements, Industry 4.0 requires some knowledge-centric embedded systems such as the Internet of Things (IoT), the Industrial Internet of Things (IIoT), and Cyber-Physical Systems (CPS) [8][9][10][11][12]. Consider CPS. These systems are nothing but ever-growing knowledge-based systems that ensure a seamless merger between the physical and cyber worlds [6,10,13,14]. The physical world refers to the manufacturing enablers (e.g., machines, tools, sensors, physical networks among computing devices, actuators, robots, computers, and the like). These are needed to perform the manufacturing activities in the real world. These enablers are linked with each other by the Internet-based infrastructures (e.g., IoT). On the other hand, the cyber world refers to the computational entities (e.g., data analytics, knowledge-based systems, algorithms, decision-making systems, and the like) and cloud-based data storage systems (e.g., historical data, information, big data, and the like). In order to materialize the CPS, the IoT-based enablers, cloud-based data storage systems, and manufacturing knowledge-bases interact with each other whenever needed; this scenario is shown in Figure 1. As seen in Figure 1, the Industry 4.0-based CPS contains Digital Twins (DTs), among others. By definition, a DT means a computable virtual ab...

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Virtual engineering process (VEP): a knowledge representation approach for building bio-inspired distributed manufacturing DNA

Cited by 25 publications

References 21 publications

Proposing a Smart Performance Management System for Production Workshop Based on Virtual Organizational Deoxyribonucleic Acid Concept

Proposing a Smart Performance Management System for Production Workshop Based on Virtual Organizational Deoxyribonucleic Acid Concept

Representing and Managing Experiential Knowledge with Decisional DNA and its Drimos® Extension

Machining Phenomenon Twin Construction for Industry 4.0: A Case of Surface Roughness

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