Research Topics

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Uncertainty in manufacturing

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Uncertainties based on man, machine, supplier, customer, and material became effecive on the effectiveness of manufacturing system are researched modeling with intelligence tools and techniques.

 

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Lean Manufacturing

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Researching and application of tools and techniques  regarding with activities of definition, measure, analysis, improve and control the obstacles in front of product flow in a manufacturing system.

 

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Design of Experiments

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Design of Experiments (DOE) is a strategic, enabling methodology for quickly developing products and optimizing processes

 

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Supply Chain Management

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The Supply Chain Management examines the planning and management of logistics functions and supply chain activities.

 

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Manufacturing Strategies

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The manufacturing Strategy examines optimal strategies and application of the best.

 

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Multi-Objective Optimization

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Multi-objective optimization is to solve the problems having more than one objective function with tradeoff. It is different from single objective optimization such that we find a set of Pareto solutions instead of a single solution. The Pareto set covers non-dominated/efficient solutions. The decision maker may select solution(s) from this set based on his/her preferences over objectives.

 

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Data mining

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Generally, data mining (sometimes called data or knowledge discovery) is the process of analyzing data from different perspectives and summarizing it into useful information - information that can be used to increase revenue, cuts costs, or both. Data mining software is one of a number of analytical tools for analyzing data. It allows users to analyze data from many different dimensions or angles, categorize it, and summarize the relationships identified. Technically, data mining is the process of finding correlations or patterns among dozens of fields in large relational databases.

 

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Experimental Design

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Experimental methods are widely used in research as well as in industrial settings, however, sometimes for very different purposes. The primary goal in scientific research is usually to show the statistical significance of an effect that a particular factor exerts on the dependent variable of interest. In industrial settings, the primary goal is usually to extract the maximum amount of unbiased information regarding the factors affecting a production process from as few (costly) observations as possible. While in the former application (in science) analysis of variance (ANOVA) techniques are used to uncover the interactive nature of reality, as manifested in higher-order interactions of factors, in industrial settings interaction effects are often regarded as a "nuisance" (they are often of no interest; they only complicate the process of identifying important factors).

 

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Metaheuristics

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Ant colony optimization, Genetic Algorithms, Differantial Evolution Algorithm, Tabu Search, Simulated Annealing, Artificial Neural Networks, Partical Swarm Optimization and integration of these algorithms to Industrial Engineering topics.

 

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Facilities Layout and Location

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Basic facilities planning concepts and system concept and its kinds in terms of facilities planning. Plant layout and design. Process design. Some calculations used in layout. Layout approaches in facilities. Warehouse systems layouts. Computer aided facility layout. Graph theory and layout approaches. Discrete facility layout. Material handling systems and analysis.

 

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Bayesian Estimation

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Development of Bayesian estimation methods and their applications

 

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Reliability Models

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System life is modeled

 

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Assembly Line Balancing Problems

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The assembly line balancing problem consists of assigning tasks to an ordered sequence of stations such that the precedence relations among the tasks are satisfied and some performance measure is optimized.

 

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Artificial Intelligence

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Artificial Intelligence (AI) is usually defined as the science of making computers do things that require intelligence when done by humans.