Suchergebnisse - "Chakrabortty, Ripon K."

Investigating disruption propagation and resilience of supply chain networks: interplay of tiers and connections.

Autoren: Habibi, Farhad Chakrabortty, Ripon K. Abbasi, Alireza et al.

Quelle: International Journal of Production Research; Sep2025, Vol. 63 Issue 17, p6229-6251, 23p

Schlagwörter: SUPPLY chain management, SUPPLY chains, SIMULATION methods & models, REDUNDANCY in engineering, DIVERSIFICATION in industry, EMPIRICAL research, ECOLOGICAL resilience

A novel metaheuristic population algorithm for optimising the connection weights of neural networks.

Autoren: Mousavirad, Seyed Jalaleddin Schaefer, Gerald Rezaee, Khosro et al.

Quelle: Evolving Systems; Feb2025, Vol. 16 Issue 1, p1-23, 23p

A multi-criteria decision-making tool for the screening of Asperger syndrome.

Autoren: Sharma, Anurag Chakrabortty, Ripon K. Sharma, Vikrant et al.

Quelle: Multimedia Tools & Applications; Sep2023, Vol. 82 Issue 22, p34095-34111, 17p

Schlagwörter: ASPERGER'S syndrome, ANALYTIC hierarchy process, MEDICAL screening, AMBIGUITY, DECISION making, FUZZY logic

Modeling Vehicle Insurance Adoption by Automobile Owners: A Hybrid Random Forest Classifier Approach.

Autoren: Uddin, Moin Ansari, Mohd Faizan Adil, Mohd et al.

Quelle: Processes; Feb2023, Vol. 11 Issue 2, p629, 16p

Schlagwörter: AUTOMOBILE insurance, RANDOM forest algorithms, HYBRID electric cars, VEHICLE models, FEATURE selection

Deep learning approaches for human-centered IoT applications in smart indoor environments: a contemporary survey.

Autoren: Abdel-Basset, Mohamed Chang, Victor Hawash, Hossam et al.

Quelle: Annals of Operations Research; Aug2024, Vol. 339 Issue 1/2, p3-51, 49p

Schlagwörter: DEEP learning, INTERNET usage monitoring, INTERNET of things, SMART homes, DATA analysis

A chance-constrained programming method with credibility measure for solving the multi-skill multi-mode resource-constrained project scheduling problem.

Autoren: Ghasemi, Mohammad Chakrabortty, Ripon K. Shahabi-Shahmiri, Reza et al.

Quelle: International Journal of Construction Management; Jul2024, Vol. 24 Issue 10, p1090-1106, 17p

Schlagwörter: SCHEDULING, PRODUCTION scheduling, FUZZY numbers, CONSTRUCTION projects, GOAL programming, SENSITIVITY analysis, STOCHASTIC programming, RENEWABLE natural resources

Predicting the critical path changes using sensitivity analysis: a delay analysis approach.

Autoren: Hammad, Mohammed Abbasi, Alireza Chakrabortty, Ripon K. et al.

Quelle: International Journal of Managing Projects in Business; 2020, Vol. 13 Issue 5, p1097-1119, 23p

Schlagwörter: PROBABILITY density function, SENSITIVITY analysis, DISTRIBUTION (Probability theory), GAUSSIAN distribution, MONTE Carlo method

Verification, validation, and accreditation for models and simulations in the Australian defence context: a review.

Autoren: Owen, Kerryn R Chakrabortty, Ripon K

Quelle: Journal of Defense Modeling & Simulation; Apr2024, Vol. 21 Issue 2, p205-227, 23p

An MPPT method using hybrid radial movement optimization with teaching-learning based optimization under fluctuating atmospheric conditions.

Autoren: Pervez, Imran Sarwar, Adil Alam, Afroz et al.

Quelle: Journal of Intelligent & Fuzzy Systems; 2022, Vol. 42 Issue 2, p807-816, 10p

Schlagwörter: SOLAR technology, WEATHER, SOLAR cells, METAHEURISTIC algorithms, SOLAR panels, SOLAR energy, MAXIMUM power point trackers

Evolve ensemble rules automatically for the block spatial scheduling under dynamic environments via surrogate-assisted cooperative evolution genetic programming.

Autoren: Li, Lubo Zhang, Haohua Bai, Sijun

Quelle: International Journal of Production Research; Mar2025, Vol. 63 Issue 6, p2010-2037, 28p

Schlagwörter: GENETIC programming, OPERATIONS research, RANDOM forest algorithms, ASSEMBLY line methods, SHIPBUILDING

Multi-objective-based differential evolution for balancing production cost, diversity and aggregated performance attributes in product family design.

Autoren: Ali, Ismail M. Turan, Hasan H. Chakrabortty, Ripon K. et al.

Quelle: Flexible Services & Manufacturing Journal; Mar2024, Vol. 36 Issue 1, p175-223, 49p

Schlagwörter: DIFFERENTIAL evolution, INDUSTRIAL costs, PRODUCT design, PRODUCT attributes, CUSTOMER satisfaction, GENETIC algorithms

Robust ANN-Based Control of Modified PUC-5 Inverter for Solar PV Applications.

Autoren: Ali, Mohammad Tariq, Mohd Lodi, Kaif Ahmed et al.

Quelle: IEEE Transactions on Industry Applications; Jul/Aug2021, Vol. 57 Issue 4, p3863-3876, 14p

Schlagwörter: ROBUST control, ARTIFICIAL neural networks, GENETIC algorithms, SOLAR oscillations, SOLAR radiation, CONVERTERS (Electronics), HARMONIC distortion (Physics)

Correction to: An improved binary sparrow search algorithm for feature selection in data classification.

Autoren: Gad, Ahmed G. Sallam, Karam M. Chakrabortty, Ripon K. et al.

Quelle: Neural Computing & Applications; Sep2022, Vol. 34 Issue 18, p15753-15753, 1p

Schlagwörter: SEARCH algorithms, OPTIMIZATION algorithms, CLASSIFICATION, FEATURE selection, PDF (Computer file format)

Reputation based proof of cooperation: an efficient and scalable consensus algorithm for supply chain applications.

Autoren: Sarfaraz, Aaliya Chakrabortty, Ripon K. Essam, Daryl L.

Quelle: Journal of Ambient Intelligence & Humanized Computing; Jun2023, Vol. 14 Issue 6, p7795-7811, 17p

Towards facing uncertainties in biofuel supply chain networks: a systematic literature review.

Autoren: Habibi, Farhad Chakrabortty, Ripon K. Abbasi, Alireza

Quelle: Environmental Science & Pollution Research; Sep2023, Vol. 30 Issue 45, p100360-100390, 31p

Schlagwörter: SUPPLY chains, BIOMASS energy, TECHNOLOGICAL innovations, EVIDENCE gaps

Modelling and application of hierarchical joint optimisation for modular product family and supply chain architecture.

Autoren: Hossain, Md. Sanowar Chakrabortty, Ripon K. Elsawah, Sondoss et al.

Quelle: International Journal of Advanced Manufacturing Technology; May2023, Vol. 126 Issue 3/4, p947-971, 25p, 4 Diagrams, 8 Charts, 8 Graphs

Schlagwörter: PARTICLE swarm optimization, SUPPLY chains, BILEVEL programming, GENETIC algorithms, HIERARCHICAL clustering (Cluster analysis), PRODUCT design

Adaptive population-based simulated annealing for resource constrained job scheduling with uncertainty.

Autoren: Thiruvady, Dhananjay Nguyen, Su Sun, Yuan et al.

Quelle: International Journal of Production Research; Sep2024, Vol. 62 Issue 17, p6227-6250, 24p

Schlagwörter: SIMULATED annealing, COMBINATORIAL optimization, OPERATING costs, SCHEDULING, MINING corporations

A surrogate-assisted dual-tree genetic programming framework for dynamic resource constrained multi-project scheduling problem.

Autoren: Chen, HaoJie Li, XinYu Gao, Liang

Quelle: International Journal of Production Research; Aug2024, Vol. 62 Issue 16, p5631-5653, 23p

Schlagwörter: GENETIC programming, DYNAMIC programming, SCHEDULING

An optimum balance among the reduction in ordering cost, product deterioration and carbon emissions: a sustainable green warehouse.

Autoren: Mashud, Abu Hashan Md Roy, Dipa Chakrabortty, Ripon K. et al.

Quelle: Environmental Science & Pollution Research; Nov2022, Vol. 29 Issue 51, p78029-78051, 23p

Schlagwörter: CARBON emissions, WAREHOUSES, COST control, FOSSIL fuels, SUPPLY chains, GREEN technology

A Risk Assessment Framework for Scheduling Projects With Resource and Duration Uncertainties.

Autoren: Chakrabortty, Ripon K. Abbasi, Alireza Ryan, Michael J.

Quelle: IEEE Transactions on Engineering Management; Oct2022, Vol. 69 Issue 5, p1917-1931, 15p

Schlagwörter: RISK assessment, COST estimates, SCHEDULING, PROJECT management, HEURISTIC