Product family formation based on optimal resource sequence for reconfigurable manufacturing system DOI
Xiaojun Zhu, Junyi Wang, Zhigang Xu

et al.

International Journal of Production Research, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 15

Published: Dec. 12, 2024

Reconfigurable manufacturing system (RMS) is designed to meet dynamic market demands by changing function and capacity which built around a product family. Therefore, the foundation for success of designing RMS lies in precise family formation. This paper proposes novel formation method based on optimal resource sequence. Instead clustering products only process similarity, derives sequence from sharing resources. Then Produce-Process-Resource similarity coefficient used hierarchical clustering. The results show that when families obtained this method, average Overall Equipment Effectiveness significantly improved.

Language: Английский

Optimal decisions of closed-loop electric vehicle batteries supply chains under extended producer responsibility policies DOI
Fang Xu, Kangye Tan

International Journal of Systems Science Operations & Logistics, Journal Year: 2025, Volume and Issue: 12(1)

Published: Jan. 21, 2025

Language: Английский

Citations

0

Module Partition of Mechatronic Products Based on Core Part Hierarchical Clustering and Non-Core Part Association Analysis DOI Creative Commons
Shuai Wang,

Yifei Song,

Guangyu Zou

et al.

Applied Sciences, Journal Year: 2025, Volume and Issue: 15(5), P. 2322 - 2322

Published: Feb. 21, 2025

Production using modular architecture can not only shorten the product development cycle and improve efficiency of development, but also facilitate upgrading a product’s main functions recycling materials. However, mechatronic products are plagued by various problems, such as greater difficulty in longer cycles due to their large numbers parts with intricate internal relationships. existing design method still faces problems when dealing products. The structure mechanical electrical is very complex, which conducive establishment model, complex structural models lead low poor accuracy module identification. Therefore, we propose an integrated division for based on core part hierarchical clustering non-core association analysis. Firstly, screening used simplify model reduce modeling. Then, parts, corresponding matrix (DSM) established. Secondly, algorithm obtain scheme different levels products, optimal obtained through evaluation modularity rationality analysis structure. Finally, strength between modules, classified into final modularization obtained. A case study demonstrates feasibility proposed electric bicycle.

Language: Английский

Citations

0

Performance Gain of Collaborative Versus Sequential Motion in Modular Robotic Manipulators for Pick-and-Place Operations DOI Creative Commons
Rémy Carlier, Joris Gillis, Pieter De Clercq

et al.

Machines, Journal Year: 2025, Volume and Issue: 13(5), P. 348 - 348

Published: April 23, 2025

With the increasing demand for efficiency and profitability in industrial applications, modularity offers significant advantages such as system reconfiguration, reduced acquisition costs, enhanced versatility. However, achieving compatibility across multi-vendor modular systems remains a challenge, particularly motion control. This study focuses on improving control sensing performance, partly using open-source tools to enhance performance systems. In systems, effective coordination between modules is crucial; without it, operations are constrained sequential execution, limiting efficiency. paper quantifies benefits of collaborative compared mechatronic pick-and-place operations. The experimental validation, conducted robotic manipulator mounted linearly sliding platform, demonstrates substantial improvement. results show time savings 36% 52% an approximate 35% reduction energy consumption, highlighting potential improved productivity sustainability automation solutions.

Language: Английский

Citations

0

Sustainability assessment in manufacturing: A life cycle analysis perspective DOI
Saurav Dixit, Mini P. Singh, Rishabh Arora

et al.

AIP conference proceedings, Journal Year: 2025, Volume and Issue: 3157, P. 110027 - 110027

Published: Jan. 1, 2025

Language: Английский

Citations

0

Architectural design space exploration of complex engineered systems with management constraints and preferences DOI
Yu Huang, Guoxin Wang, Ru Wang

et al.

Journal of Engineering Design, Journal Year: 2024, Volume and Issue: 35(6), P. 743 - 774

Published: April 2, 2024

During the architectural design phase, decisions made have a crucial impact on developing complex systems. These often limit performance bounds and steer subsequent research directions. However, multitude of components intricate interrelationships cause component combination explosion. Additionally, diverse requirements different stakeholders add complexity to determining weight indicators, posing challenges system architecture generation trade-off. This paper proposes method for exploring space in systems realisation, which aims resolve issues related formal representation architectures, selection within space, trade-offs. Firstly, is represented by formulating mathematically describing morphological matrix. Then, construction Constraint Satisfaction Problem model achieve reduction scale space. Moreover, through evolutionary algorithm, Pareto front identified. Weight sensitivity analysis improved Technique Order Preference Similarity Ideal Solution are combined assist designers finding satisfactory from with many combinations. Finally, proposed verified launch vehicle's primary secondary separation system.

Language: Английский

Citations

3

Assessing the Environmental Impact of Plastic Waste using Life Cycle Assessment DOI Creative Commons

Andrey Y. Butyrin,

Ammar Hameed Shnain,

G. Keerthi Reddy

et al.

E3S Web of Conferences, Journal Year: 2024, Volume and Issue: 581, P. 01010 - 01010

Published: Jan. 1, 2024

This research use a life cycle assessment (LCA) paradigm to investigate the environmental effects of plastic waste management practices. The impacts these processes are measured using experimental data. acquisition raw materials, particularly in manufacturing, results considerable consequences, including an energy expenditure 1200 MJ and release 300 kg CO2. Likewise, processing activities, such as shredding molding, need 1500 produce 400 CO2 emissions. operational lifespan product is underscored its usage phase, wherein Plastic Product A Component B exhibit cumulative consumption 100 MJ/year 120 MJ/year, alongside emissions 20 CO2/year 25 CO2/year, respectively, thereby accentuating significance product’s lifecycle. end-of-life phase underscores variety recycling rates, emphasizing for more effective techniques. comprehensive LCA methodology delineates critical areas improvement, directing sustainable methods fostering environmentally responsible decision-making within sector. provide method handling garbage diminishing ecological impact.

Language: Английский

Citations

0

Sustainability and risk considerations for the concurrent product and supply chain design DOI Open Access
Jessica Olivares-Aguila, Alejandro Vital-Soto,

Kristine Joy Dy

et al.

Procedia CIRP, Journal Year: 2024, Volume and Issue: 130, P. 995 - 1000

Published: Jan. 1, 2024

Language: Английский

Citations

0

An Evolutionary Modular Product Development Under Circular Economy Approach DOI Open Access
Antonio Córdoba Roldán, Alejandro Manuel Martín-Gómez,

Marina Rodríguez-Núñez

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(23), P. 10688 - 10688

Published: Dec. 5, 2024

The incorporation of new technologies and materials, as well the rapid evolution products, makes it necessary to guide product design development process from bio-inspired perspectives that promote a circular economy. Among proposals based on solution is framework called Genomic Model Eco-innovation Eco-design, which integrates Cradle-to-Cradle paradigm, material substance flow analysis, along with all aspects present in life cycle analysis products. In this work, innovation carried out through integration genetic algorithms methodological tool for optimizing modular definition genotype within aforementioned framework. Through systematic approach, analyzes how reconfiguration principles optimization, can contribute significant reduction resource use waste generation. proposed methodology applied practical case redesign small household appliance, demonstrating its potential facilitate implementation economy strategies early stages studying modularity, aims improving reducing impact.

Language: Английский

Citations

0

Knowledge graph based multi-granularity tacit design knowledge reuse for product design DOI Creative Commons
Jia Jia,

Yingzhong Zhang,

Mohamed Saad

et al.

Journal of Computational Design and Engineering, Journal Year: 2024, Volume and Issue: 12(1), P. 53 - 79

Published: Dec. 5, 2024

Abstract Decomposing product design into multiple granularities is an effective strategy to implement complex design. Tacit knowledge (TDK), adhering designers’ experience and intuition, plays essential role in the at various granularities, but it difficult acquire reuse due its implicity. Aiming this issue, a graph-based multi-granularity TDK framework for presented. First, issue-solving oriented graph (DSKG) model employed indirectly capture TDK, where result data are represented as solution nodes issues that refine relation edges. An improved ontological concept designed schema of DSKG represent on functions, behaviours, structures products. Afterwards, supports two modes, i.e., top–down bottom–up design, captured reused create context predict solutions. embedding prediction both while creation achieved distinctively. In process starts from requirements then gradually downward refines solutions different with breadth-first strategy, which naturally creates continuous context, until moving detailed target commonly isolated specific fine-grained granularity. This paper presents novel approach constructing based path-ranking algorithm. Path-ranking algorithm can identify influence paths build connections between thus construct context. Finally, case study stamping die implemented, illustrates feasibility effectiveness framework. The comparisons state-of-the-art methods also made demonstrate merits presented

Language: Английский

Citations

0

Product family formation based on optimal resource sequence for reconfigurable manufacturing system DOI
Xiaojun Zhu, Junyi Wang, Zhigang Xu

et al.

International Journal of Production Research, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 15

Published: Dec. 12, 2024

Reconfigurable manufacturing system (RMS) is designed to meet dynamic market demands by changing function and capacity which built around a product family. Therefore, the foundation for success of designing RMS lies in precise family formation. This paper proposes novel formation method based on optimal resource sequence. Instead clustering products only process similarity, derives sequence from sharing resources. Then Produce-Process-Resource similarity coefficient used hierarchical clustering. The results show that when families obtained this method, average Overall Equipment Effectiveness significantly improved.

Language: Английский

Citations

0