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A knowledge-based system for selection of resource allocation rules and...

AbstractAssembly lines have been used in industry since the early 1920s. Ford was the first to establish assembly lines in the automative industry. The productivity of the factories improved...

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Knowledge-Based System for Master Production Scheduling

AbstractThis paper discusses a knowledge-based system developed to select the best Master Production Schedule (MPS) that meets the user requirements. The best MPS is selected out of 192 alternative MPS...

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Capacitated lot sizing by using multi-chromosome crossover strategy

AbstractThe capacitated lot sizing problem (CLSP) arises when, under capacity constraints, the decision maker has to determine the production schedule and lot sizes that will minimize the total costs...

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Genetic algorithm for rotary machine scheduling with dependent processing times

AbstractThis paper focuses on scheduling a rotary injection molding machine with dependent processing times. The injection machine has n pairs of positions to process n pairs of shoes. It is rotated...

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Experimental study of seeding in genetic algorithms with non-binary genetic...

AbstractSeeding is a technique used to leverage population diversity in genetic algorithms. This paper presents a quick survey of different seeding approaches, and evaluates one of the promising ones...

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A Genetic Algorithm Approach for Loading Cells with Flow Shop Configuration

AbstractThis paper proposes a three-phase methodology for worker allocation and flowshop scheduling in a multistage manufacturing environment. A case study using a shoe manufacturing plant is examined....

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Hybrid Global Supply Chain Design Considering Product Families and Layered...

AbstractThis paper proposes a new hybrid global supply chain strategy for a global blood sugar manufacturing company. In this approach, products are analyzed based on product families. Product families...

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