Documenti analoghi: DEEP LEARNING-BASED ANALYSIS FOR SUPPLY CHAIN DISRUPTION DUE TO STOCK MARKET VOLATILITY /
- AN APPROACH TO OPTIMIZE THE BLOOD SUPPLY CHAIN NETWORK /
- SUPPLY CHAIN RESILIENCE MODELING FOR RMG INDUSTRY IN BANFLADESH; AN INTELLIGENT APPROACH /
- REVERSE LOGISTICS NETWORK DESIGN FOR SEMICONDUCTOR SUPPLY CHAIN: AN OPTIMIZATION APPROACH /
- ENHANCING SUPPLY CHAIN EFFICIENCY THROUGH PREDICTIVE INVENTORY OPTIMIZATION USING ARTIFICIAL INTELLIGENCE /
- CHALLENGES TO CARBON-NEUTRAL SUPPLY CHAINS IN THE TEXTILE AND APPAREL INDUSTRY A TECHNOLOGY ORGANIZATION-ENVIRONMENT-HUMAN PERSPECTIVE /
- Optimization of Green Vehicle Routing Problem in Cold Supply Chain Logistics for Perishable Foods Using Genetic Algorithm Approach /
Soggetto: Industrial and Production Engineering.
- PERFORMANCE EVALUATION OF GRAPHITE AND TITANIUM OXIDE NANO POWDER MIXED DIELECTRIC FOR ELECTRIC DISCHARGE MACHINING OF Ti-6AI-4V /
- AN EXPERIMENTAL INVESTIGATION OF POWDER ASSISTED ELECTRICAL DISCHARGE MACHINING OF MILD STEEL & INCONEL 718 AND PARAMETRIC OPTIMIZATION /
- A P-MEDIAN CLOSED LOOP MODEL USING TABU SEARCH FOR HEALTH CARE SUPPLY IN BANGLADESH /
- PARAMETRIC OPTIMIZATION OF HIGH-SPEED MACHINING OF SINGLE CRYSTAL SILICON WITH CEMENTED CARBIDE TOOLS /
- IMPROVING OVERALL EQUIPMENT EFFICTIVENESS BY APPLYING TPM-A CASE OF DETERGENT MANUFACTURING FACTORY /
- FABRICATION AND PROCESS PARAMETER OPTIMIZATION OF A 3D PRINTER USING RESPONSE SURFACE METHODOLOGY /
Soggetto: This Thesis Paper of IPE in BSc Program.
- MULTI-OBJECTIVE OPTIMIZATION OF PARAMETERS IN HIGH-SPEED MACHINING OF H13 UNDER HYBRID NANO-MQL USING RSM, GA AND MOPSO /
- BIO-BASED POLYURETHANE FOAM REINFORCED WITH AGRICULTURAL WASTE FIBRES/
- LIGHTWEIGHT FOAMED CONCRETE WITH COIR, BAGASSE AND POLYPROPYLENE FIBER: A SUSTAINABLE APROACH /
- DEVELOPMENT AND MECHANICAL CHARACTERIZATION OF RAMIE FIBER REINFORCED BIO-COMPOSITE WITH EPOXY MATRIX AND MUSTARD OIL CAKE FILLER FOR LOW-LOAD AUTOMOBILE PARTS APPLICATION /
- SUPPLY CHAIN RESILIENCE MODELING FOR RMG INDUSTRY IN BANFLADESH; AN INTELLIGENT APPROACH /
- OPTIMIZATION OF MOS2 NANOPARTICLE ENRICHED GREEN LUBRICANT FOR ENHANCED MACHINABILITY OF TI-6AL-4V ALLOY /
Autore: Mahmood, Md Abid
Autore: Supervised by Maj Md Naim Uddin
- AI-DRIVEN VISIION BASED SYSTEM FOR ANOMALY DETECTION IN PHARMA 4.0 /
- DEEP LEARNING-BASED ANALYSIS FOR SUPPLY CHAIN DISRUPTION DUE TO STOCK MARKET VOLATILITY /
- AI-BASED HYBRID FRAMEWORK FOR SOLAR PV FAULT, DETECTION AND POWER GENERATION FORECASTING /
- HIGH SPEED MACHINING OF TIGA14V USING HYBRID NANOFLUID BASED MINIMUM QUANTITY LUBRICATION (HNMOL) /