CV Neda Manavizadeh

Associate Professor

Applying available-to-promise (ATP) concept in mixed-model assembly line sequencing problems in a Make-To-Order (MTO) environment: problem extension, model formulation and Lagrangian relaxation algorithm

Authors: ["Neda Manavizadeh"]
Article Title: OPSEARCH
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Balancing of mixed-model two-sided assembly lines with multiple U-shaped layout

Authors: ["Masoud Rabbani", "Neda Manavizadeh"]
Article Title: The International Journal of Advanced Manufacturing Technology
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CAPACITY COORDINATION IN HYBRID MAKE-TO-STOCK/MAKE-TO-ORDER CONTEXTS USING AN ENHANCED MULTI-STAGE MODEL

Authors: ["Masoud Rabbani", "Neda Manavizadeh"]
Article Title: Brazilian Journal of Operations & Production Management
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Considering the conveyer stoppages in sequencing mixed-model assembly lines by a new fuzzy programming approach

Authors: ["Masoud Rabbani", "Neda Manavizadeh"]
Article Title: The International Journal of Advanced Manufacturing Technology
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Designing a multi-objective model for a hazardous waste routing problem considering flexibility of routes and social effects

Authors: ["Neda Manavizadeh"]
Article Title: Journal of Industrial and Production Engineering
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Integrated dynamic cell formation-production planning: A new mathematical model

Authors: ["Masoud Rabbani", "Neda Manavizadeh"]
Article Title: Scientia Iranica
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Leagile supply chain network design through a dynamic two-phase optimization in view of order penetration point

Authors: ["Neda Manavizadeh"]
Article Title: RAIRO - Operations Research
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Mixed model U-line balancing type-1 problem: A new approach

Authors: ["Masoud Rabbani", "Neda Manavizadeh"]
Article Title: Journal of Manufacturing Systems
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Mixed-model assembly line balancing in assemble-to-order environment with considering express parallel line: problem definition and solution procedure

Authors: ["Masoud Rabbani", "Neda Manavizadeh"]
Article Title: International Journal of Computer Integrated Manufacturing
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Mixed-model assembly line balancing in the make-to-order and stochastic environment using multi-objective evolutionary algorithms

Authors: ["fariborz jolai", "Masoud Rabbani", "Neda Manavizadeh"]
Article Title: Expert Systems with Applications
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