| Nome |
# |
|
Guiding manufacturing companies towards digitalization a methodology for supporting manufacturing companies in defining their digitalization roadmap, file e0c31c0e-86a2-4599-e053-1705fe0aef77
|
2.322
|
|
A maturity model for assessing the digital readiness of manufacturing companies, file e0c31c0f-0bc8-4599-e053-1705fe0aef77
|
2.259
|
|
A Review of the Roles of Digital Twin in CPS-based Production Systems, file e0c31c0c-930a-4599-e053-1705fe0aef77
|
2.136
|
|
A review on the characteristics of cyber-physical systems for the future smart factories, file e0c31c0f-4893-4599-e053-1705fe0aef77
|
2.133
|
|
Exploring the role of Digital Twin for Asset Lifecycle Management, file e0c31c0f-09d9-4599-e053-1705fe0aef77
|
1.617
|
|
A review of multi-criteria classification of spare parts: From literature analysis to industrial evidences, file e0c31c0e-fb75-4599-e053-1705fe0aef77
|
1.562
|
|
Building a Total Cost of Ownership model to support manufacturing asset lifecycle management, file e0c31c10-b846-4599-e053-1705fe0aef77
|
977
|
|
A framework to embed Asset Management in production companies, file e0c31c0c-41e1-4599-e053-1705fe0aef77
|
821
|
|
FMU-supported simulation for CPS Digital Twin, file e0c31c0c-dc23-4599-e053-1705fe0aef77
|
679
|
|
A Framework for Implementing Value-Based Approach in Asset Management, file e0c31c09-e439-4599-e053-1705fe0aef77
|
617
|
|
Clarifying Data Analytics Concepts for Industrial Engineering, file e0c31c0f-263a-4599-e053-1705fe0aef77
|
547
|
|
A Digital Twin Proof of Concept to Support Machine Prognostics with Low Availability of Run-To-Failure Data, file e0c31c0e-d285-4599-e053-1705fe0aef77
|
503
|
|
MES-integrated digital twin frameworks, file e0c31c10-5388-4599-e053-1705fe0aef77
|
494
|
|
A Digital Twin-based scheduling framework including Equipment Health Index and Genetic Algorithms, file e0c31c0f-09cd-4599-e053-1705fe0aef77
|
485
|
|
A framework to manage reconfigurability in manufacturing, file e0c31c0f-2271-4599-e053-1705fe0aef77
|
446
|
|
Studying the funding principles for integrating Asset Management in Operations: an empirical research in production companies, file e0c31c0a-4d89-4599-e053-1705fe0aef77
|
426
|
|
On the role of Prognostics and Health Management in advanced maintenance systems, file e0c31c0a-b860-4599-e053-1705fe0aef77
|
417
|
|
Simulation-supported framework for job shop scheduling with genetic algorithm, file e0c31c0c-1767-4599-e053-1705fe0aef77
|
403
|
|
On the relevance of clustering strategies for collaborative prognostics, file e0c31c12-d981-4599-e053-1705fe0aef77
|
387
|
|
A novel scheduling framework: Integrating genetic algorithms and discrete event simulation, file e0c31c0d-140e-4599-e053-1705fe0aef77
|
322
|
|
Synchro-push: A new production control paradigm, file e0c31c0a-9bf3-4599-e053-1705fe0aef77
|
320
|
|
Conceptual Framework for a Data Model to Support Asset Management Decision-Making Process, file e0c31c0e-71ce-4599-e053-1705fe0aef77
|
318
|
|
On the relationship of spare parts inventory policies with Total Cost of Ownership of industrial assets, file e0c31c0a-4605-4599-e053-1705fe0aef77
|
313
|
|
Road-mapping the business potential of sustainability within the European manufacturing industry, file e0c31c0e-e401-4599-e053-1705fe0aef77
|
313
|
|
Risk Sources Affecting the Asset Management Decision-Making Process in Manufacturing: A Systematic Review of the Literature, file e0c31c0e-a0d0-4599-e053-1705fe0aef77
|
311
|
|
Value-driven engineering of E-maintenance platforms, file e0c31c0f-0607-4599-e053-1705fe0aef77
|
309
|
|
Factory-level performance evaluation of buffered multi-state production systems, file e0c31c0c-c0ba-4599-e053-1705fe0aef77
|
307
|
|
Modelling and solving spare parts supply chain network design problems, file e0c31c10-a28c-4599-e053-1705fe0aef77
|
296
|
|
Exploring the impacts and contributions of maintenance function for sustainable manufacturing, file e0c31c10-94c5-4599-e053-1705fe0aef77
|
292
|
|
Open Semantic Meta-model as a Cornerstone for the Design and Simulation of CPS-based Factories, file e0c31c0e-6b22-4599-e053-1705fe0aef77
|
283
|
|
A Generalized Benders Decomposition based algorithm for an inventory location problem with stochastic inventory capacity constraints, file e0c31c0f-0bc0-4599-e053-1705fe0aef77
|
276
|
|
Sustainable Maintenance Performances and EN 15341:2019: An Integration Proposal, file e0c31c12-9fcc-4599-e053-1705fe0aef77
|
263
|
|
Total Cost of Ownership Driven Methodology for Predictive Maintenance Implementation in Industrial Plants, file e0c31c0e-71cc-4599-e053-1705fe0aef77
|
261
|
|
Data-driven CBM tool for risk-informed decision-making in an electric arc furnace, file e0c31c0e-9ded-4599-e053-1705fe0aef77
|
252
|
|
Linking the spare parts management with the total costs of ownership: An agenda for future research, file e0c31c0a-9b65-4599-e053-1705fe0aef77
|
249
|
|
Core Characteristics of Reconfigurability and their Influencing Elements, file e0c31c0d-0ba1-4599-e053-1705fe0aef77
|
246
|
|
An Inventory-Location Modeling Structure for Spare Parts Supply Chain Network Design Problems in Industrial End-User Sites, file e0c31c0c-c2a8-4599-e053-1705fe0aef77
|
212
|
|
A Literature-Based Analysis of the Cyber-Physical Systems Under the Lens of Reconfigurability, file e0c31c0d-0d4f-4599-e053-1705fe0aef77
|
183
|
|
A decision-making framework for dynamic scheduling of cyber-physical production systems based on digital twins, file e0c31c11-c1bd-4599-e053-1705fe0aef77
|
173
|
|
Remaining useful life estimation for informed end of life management of industrial assets: A conceptual model, file e0c31c0d-0323-4599-e053-1705fe0aef77
|
167
|
|
Investigating the impact of social sustainability within maintenance operations: An action research in heavy industry, file e0c31c10-f531-4599-e053-1705fe0aef77
|
163
|
|
A Digital Twin-based Approach to the Real-time Assembly Line Balancing Problem, file e0c31c12-2d27-4599-e053-1705fe0aef77
|
158
|
|
Framework for PHM in the smart manufacturing context: integration of different approaches, file e0c31c0a-d9ed-4599-e053-1705fe0aef77
|
150
|
|
On the Advancement of Maintenance Management Towards Smart Maintenance in Manufacturing, file e0c31c0f-0bc4-4599-e053-1705fe0aef77
|
150
|
|
Reconfigurable Manufacturing: A Classification of Elements Enabling Convertibility and Scalability, file e0c31c0e-9e43-4599-e053-1705fe0aef77
|
135
|
|
Implementing intelligent asset management systems (IAMS) within an industry 4.0 manufacturing environment, file e0c31c0f-5aff-4599-e053-1705fe0aef77
|
133
|
|
Orchestration of preventive maintenance interventions, file e0c31c0e-d3a8-4599-e053-1705fe0aef77
|
129
|
|
System-Oriented Reliability-Based Methodology for Optimal Joint Maintenance and Production Planning, file e0c31c0d-0c7f-4599-e053-1705fe0aef77
|
127
|
|
Analysing the support of sustainability within the manufacturing strategy through multiple perspectives of different business functions, file e0c31c10-c92c-4599-e053-1705fe0aef77
|
125
|
|
Maintenance Maturity Assessment: a Method and First Empirical Results in Manufacturing Industry, file e0c31c0f-799c-4599-e053-1705fe0aef77
|
116
|
|
A Framework for Implementing Value-Based Approach in Asset Management, file e0c31c09-e7f2-4599-e053-1705fe0aef77
|
113
|
|
A routine-based framework implementing workload control to address recurring disturbances, file e0c31c0f-0a1c-4599-e053-1705fe0aef77
|
112
|
|
Data taxonomy to manage information and data in Maintenance Management, file e0c31c10-7fa9-4599-e053-1705fe0aef77
|
108
|
|
A methodology to boost data-driven decision-making process for a modern maintenance practice, file a5a7a587-92da-4ef6-b067-5ac5b43455c0
|
101
|
|
A proposal for Energy Services' classification including a Product Service Systems perspective, file e0c31c0e-0f0f-4599-e053-1705fe0aef77
|
101
|
|
On the focal concepts of Maintenance in the Digital era, file e0c31c10-b848-4599-e053-1705fe0aef77
|
98
|
|
Field-synchronized Digital Twin framework for production scheduling with uncertainty, file e0c31c10-e198-4599-e053-1705fe0aef77
|
96
|
|
Time to be responsive in the process industry: a literature-based analysis of trends of change, solutions and challenges, file 498f88bb-16ca-4669-83bc-aa9296cf2a29
|
94
|
|
A Digital Twin-based Predictive Strategy for Workload Control, file e0c31c11-f55e-4599-e053-1705fe0aef77
|
93
|
|
Cross-Correlation Method for Orchestration of Preventive Maintenance Interventions, file e0c31c0f-0bc2-4599-e053-1705fe0aef77
|
90
|
|
The future of maintenance within industry 4.0: An empirical research in manufacturing, file e0c31c0d-0a59-4599-e053-1705fe0aef77
|
88
|
|
Enterprise information systems interoperability for asset lifecycle management to enhance circular manufacturing, file e0c31c11-e514-4599-e053-1705fe0aef77
|
87
|
|
An Investigation on Implemented Actions to Improve Responsiveness in Manufacturing Firms, file e0c31c0f-0bc6-4599-e053-1705fe0aef77
|
85
|
|
Local Decision Making based on Distributed Digital Twin Framework, file e0c31c11-c6fa-4599-e053-1705fe0aef77
|
84
|
|
An integrated simulation paradigm for lifecycle-covering maintenance in the Industry 4.0 context, file e0c31c10-937a-4599-e053-1705fe0aef77
|
74
|
|
Investigating information and data criticality in Asset Management decision-making process, file e0c31c0f-49ba-4599-e053-1705fe0aef77
|
71
|
|
Advances in Production Management Systems: Issues, Trends, and Vision Towards 2030, file e0c31c12-9fce-4599-e053-1705fe0aef77
|
61
|
|
Exploring Synergies Between Circular Economy and Asset Management, file c85f9b6c-9bb3-42c8-80da-a42ca0bd72da
|
52
|
|
Integrating PHM into production scheduling through a Digital Twin-based framework, file 1349ba48-5c34-4861-99fa-992837b2409a
|
51
|
|
System-Level Overall Equipment Effectiveness for Improving Asset Management Performance: A Case Study Application, file 164f97de-f568-4149-a052-f151165dabef
|
42
|
|
A framework to integrate novelty detection and remaining useful life prediction in Industry 4.0-based manufacturing systems, file 3448fea7-7905-4a8d-8739-d8524d1ad712
|
42
|
|
Experiential learning of Prognostics and Health Management and its implementation in MATLAB, file e0c31c12-a045-4599-e053-1705fe0aef77
|
42
|
|
Information as a key dimension to develop industrial asset management in manufacturing, file 35e701e5-6598-49e8-b64b-0610e26a8056
|
30
|
|
Fostering Circular Manufacturing Through the Integration of Genetic Algorithm and Process Mining, file 1339be71-c086-4a1a-bfc7-0e787a354eeb
|
25
|
|
Ontology-augmented Prognostics and Health Management for shopfloor-synchronised joint maintenance and production management decisions, file d9a3deb3-36da-495d-ae71-785f7e0a989a
|
25
|
|
A Conceptual Model of the IT Ecosystem for Asset Management in the Global Manufacturing Context, file 2b909d10-b28e-4f03-9e77-9504d67e238c
|
24
|
|
Local Digital Twin-based control of a cobot-assisted assembly cell based on Dispatching Rules, file 00368e81-11d9-4e53-b29d-3f4bb9dc6b68
|
23
|
|
A value-driven method for the design of performance-based services for manufacturing equipment, file b9b13475-15bd-4789-a96b-ade5f3e3b296
|
21
|
|
Knowledge reuse for ontology modelling in Maintenance and Industrial Asset Management, file c2bd39de-b119-42f4-9ebc-43a0284cad09
|
16
|
|
Development of an advanced condition-based maintenance system for high-critical industrial fans in a foundry, file cb7596c1-4bd0-4c6c-a76c-74dddc99414a
|
14
|
|
A Framework for Asset Centered Servitization Based on Micro-services, file e5b007ff-0e82-46c2-a7ca-15212020888c
|
14
|
|
An ontological modelling of multi-attribute criticality analysis to guide Prognostics and Health Management program development, file 02a4057a-4210-4601-b32a-83d3e642ce47
|
11
|
|
Multi-attribute ontology-based criticality analysis of manufacturing assets for maintenance strategies planning, file 60bf928f-277b-4b5b-b311-85df2a9167d8
|
10
|
|
Application of Total Cost of Ownership Driven Methodology for Predictive Maintenance Implementation in the Food Industry, file 2317a3c2-dd38-4676-9e92-2058da4bc85d
|
9
|
|
How the technologies underlying cyber-physical systems support the reconfigurability capability in manufacturing: a literature review, file 701f610b-828f-4925-9f7a-56660e5e722a
|
9
|
|
Unlocking the Potential of Data in Circular Manufacturing: Opportunities for data sharing and stakeholders' collaboration, file fedd2e50-5e41-47a3-9b13-d6b3aaefec5a
|
9
|
|
On the role of Data Quality in AI-based Prognostics and Health Management, file ba3dea25-c347-4b8f-81b1-7f9a86745b02
|
8
|
|
Proposal and test of a configurable production system Digital Model to support Energy-based Asset Management, file 604dbbb7-78ea-46e2-a4cd-ba6234629f23
|
7
|
|
An ontology to integrate process-based approach in ZDM strategies in a Digital Twin framework, file 0acd92de-4921-4839-9512-de6cc6a79f7c
|
4
|
|
Operations-aware novelty detection framework for CNC machine tools: proposal and application, file 6a7c4eb5-6a7b-4150-a95b-74aefedb04bc
|
4
|
|
A framework for fault detection and diagnostics of articulated collaborative robots based on hybrid series modelling of Artificial Intelligence algorithms, file b47ec5b0-d8a2-4220-ac38-0f4176774233
|
4
|
|
Continuous improvement planning through sustainability assessment of product-service systems, file e0c31c0a-95e5-4599-e053-1705fe0aef77
|
4
|
|
A Review of the Roles of Digital Twin in CPS-Based Production Systems, file e0c31c0e-6b1f-4599-e053-1705fe0aef77
|
4
|
|
Tolerance Scheduling for CPS, file e0c31c10-65e1-4599-e053-1705fe0aef77
|
3
|
|
Control for smart systems: Challenges and trends in smart cities, file e8f580ba-bf03-419d-8024-be8ee4f69e74
|
3
|
|
Planning the reconfiguration of manufacturing systems: A literature review, file e0c31c0a-9d28-4599-e053-1705fe0aef77
|
2
|
|
An Industry 4.0-Enabled Low Cost Predictive Maintenance Approach for SMEs, file e0c31c0e-e8a5-4599-e053-1705fe0aef77
|
2
|
|
Maturity Models and Tools for Enabling Smart Manufacturing Systems: Comparison and Reflections for Future Developments, file e0c31c0f-0bca-4599-e053-1705fe0aef77
|
2
|
|
Virtual Sensors: a Tool to Improve Reliability, file e0c31c10-3818-4599-e053-1705fe0aef77
|
2
|
|
Value Based and Intelligent Asset Management. Mastering the Asset Management Transformation in Industrial Plants and Infrastructures, file e0c31c11-41d9-4599-e053-1705fe0aef77
|
2
|
| Totale |
28.359 |