Knowledge Deduction and Reuse Application to the Products’ Design Process

Miled, Achraf Ben; Dhaouadi, Rahma; Mansour, Romany F.

doi:10.1142/s0218194020500102

Cited by 5 publications

(2 citation statements)

References 35 publications

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“…In fact, the inferred information helps to reduce time, effort, and performance carried on ontologies. 55 The reasoning operates on the ontology via the implemented rules throughout the exploitation of the formal knowledge representation. A rule allows the deduction of new information or facts based on a set of concepts, their relationships, and their individuals.…”

Section: Deduction Of Resources By Rulesmentioning

confidence: 99%

Ontology-based crisis simulation system for population sheltering management

Zhong,

Ngoc,

Negre

et al. 2023

SIMULATION

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Climate change has led to an increase in the frequency and intensity of natural disasters, necessitating the development of efficient crisis management strategies for population sheltering. However, existing research on this topic primarily focuses on the use of public resources such as ambulances and fire trucks, which may sometimes be insufficient due to high demand and impacted locations, worsening the shortage of resources. This research introduces an ontology-based crisis simulation system for population sheltering management that focuses on the integration and distribution of citizen–volunteer drivers/vehicles into the evacuation process. Recognizing the limitations of public resources in current crisis management models, our approach incorporates citizen resources to enhance overall evacuation capacity. We develop an ontology to standardize crisis management knowledge, frame vehicle distribution as a recommendation problem, and design a simulation module incorporating a constraint-based recommender system. The proposed scenario illustrates how the simulation system can recommend citizen resources during crisis situations by considering the constraints to be satisfied. With our system, we aim at helping stakeholders to be prepared for various disaster scenarios: optimizing resource allocation and reducing time to make decisions by decision-makers.

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Section: Deduction Of Resources By Rulesmentioning

confidence: 99%

Ontology-based crisis simulation system for population sheltering management

Zhong,

Ngoc,

Negre

et al. 2023

SIMULATION

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“…In this model, an initial domain modelling is achieved. A knowledge acquisition phase is made gradually from the daily activities of individuals [27].…”

Section: Knowledge Managementmentioning

confidence: 99%

A Study on Various Implications on Reusing in Manufacturing

Amol

Venkateswaran

Ramachandran³

et al. 2021

JEMM

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Material recycling is the sustainable use of a substance, sustainable production, additive production, powder reuse, knowledge management, reuse of water, etc. Is the process of picking up old items and finding new ones? ... Sometimes items can be reused by others. Clothes can be donated frequently and given a second life. Recycling is better than recycling because it saves energy coming from disposing and recycling materials.This significantly reduces waste and pollution because it reduces the need for raw materials and saves both forest and water supply. When we do not recycle, reuse and reduce, we are destroying natural habitats. As it is, our planet cannot cope with the current rate of destruction. If we fail to reuse what we already have, we end up in a sticky situation of running out of resources. By reducing our waste, we are conserving our resources. Resources such as aluminum, petroleum and wood are all used to make new products such as cans, plastic bags and paper packaging. Less energy is used to recycle materials as opposed to creating new ones.

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Designing a collaborative product development process from a knowledge management perspective

Chaouni Benabdellah,

Zekhnini,

Bag

et al. 2024

JKM

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Purpose This study aims to propose a collaborative knowledge-based ontological research model for designing a collaborative product development process (PDP) while considering different design for X techniques. Design/methodology/approach This study follows a thematic literature analysis to identify the key design concepts needed to assess environmental, service, safety, manufacture and assembly, supply chain and quality concerns in developing a collaborative PDP. Findings The proposed model provides a guide for methodology, engineering and ontology evaluation metrics (verification, assessment and validation). The findings benefit both practitioners and managers because they address the key knowledge taxonomy needed to assist them in storing information, promoting teamwork and making decisions in a collaborative PDP while incorporating various design for X approaches and product life cycles. Originality/value This study introduces a novel knowledge-based collaborative ontological research model, which is specifically designed to tackle the challenges of developing collaborative products in the contemporary landscape. The model presents a significant and valuable contribution to the field by introducing an ontological approach for acquiring, representing and leveraging knowledge in a computer-interpretable format to support the design of collaborative products. In addition, it provides a comprehensive guide for evaluating the effectiveness and efficacy of the ontology developed.

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Knowledge Deduction and Reuse Application to the Products’ Design Process

Cited by 5 publications

References 35 publications

Ontology-based crisis simulation system for population sheltering management

Ontology-based crisis simulation system for population sheltering management

A Study on Various Implications on Reusing in Manufacturing

Designing a collaborative product development process from a knowledge management perspective

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