Product classification using anthropometric measurements leads to ergonomic product design and us... more Product classification using anthropometric measurements leads to ergonomic product design and user satisfaction. We propose an effective artificial immune algorithm (AIA) to classify ergonomic products with multi-criteria anthropometric measurements and tune the AIA parameters with a full factorial experimental design approach. We demonstrate the applicability and efficacy of the proposed algorithm by considering the anthropometric measurements of the hand, developing an ergonomic computer mouse, and classifying consumers into three categories. The resulting classifications are compared with expert opinions to facilitate the conformity of the computer mouse to user requirements.
This paper presents an integration of fuzzily imprecise and probabilistically uncertain data in m... more This paper presents an integration of fuzzily imprecise and probabilistically uncertain data in multi-time period production planning problem. We consider fluctuation of demands and resources by a fuzzy stochastic approach due to incomplete and/or unavailable information. A mathematical programming model that incorpo- rates these aspects of uncertainty with grading products based on different qualities is developed to maximize total profit, considering total costs includes cost of production, outsourcing, labor, and holding, with subject to constraints associated with customer satisfaction, demand, and holding inventory. We also extend a new approach of defuzzifying and derandomizing methods by measuring the superiority and inferiority of the fuzzy stochastic variables when the model has fuzzy stochastic parameters both in the constraints and in the objec- tive function. To illustrate the behavior of the proposed model and verify the performance of the developed fuzzy stochastic-based approach, we introduce a number of numerical examples to explain the use of the fore- going approach. Consequently, the results obtained are reported and discussed.
Product classification using anthropometric measurements leads to ergonomic product design and us... more Product classification using anthropometric measurements leads to ergonomic product design and user satisfaction. We propose an effective artificial immune algorithm (AIA) to classify ergonomic products with multi-criteria anthropometric measurements and tune the AIA parameters with a full factorial experimental design approach. We demonstrate the applicability and efficacy of the proposed algorithm by considering the anthropometric measurements of the hand, developing an ergonomic computer mouse, and classifying consumers into three categories. The resulting classifications are compared with expert opinions to facilitate the conformity of the computer mouse to user requirements.
This paper presents an integration of fuzzily imprecise and probabilistically uncertain data in m... more This paper presents an integration of fuzzily imprecise and probabilistically uncertain data in multi-time period production planning problem. We consider fluctuation of demands and resources by a fuzzy stochastic approach due to incomplete and/or unavailable information. A mathematical programming model that incorpo- rates these aspects of uncertainty with grading products based on different qualities is developed to maximize total profit, considering total costs includes cost of production, outsourcing, labor, and holding, with subject to constraints associated with customer satisfaction, demand, and holding inventory. We also extend a new approach of defuzzifying and derandomizing methods by measuring the superiority and inferiority of the fuzzy stochastic variables when the model has fuzzy stochastic parameters both in the constraints and in the objec- tive function. To illustrate the behavior of the proposed model and verify the performance of the developed fuzzy stochastic-based approach, we introduce a number of numerical examples to explain the use of the fore- going approach. Consequently, the results obtained are reported and discussed.
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Papers by Mohammad Kazemi
production planning problem. We consider fluctuation of demands and resources by a fuzzy stochastic
approach due to incomplete and/or unavailable information. A mathematical programming model that incorpo-
rates these aspects of uncertainty with grading products based on different qualities is developed to maximize
total profit, considering total costs includes cost of production, outsourcing, labor, and holding, with subject to
constraints associated with customer satisfaction, demand, and holding inventory. We also extend a new
approach of defuzzifying and derandomizing methods by measuring the superiority and inferiority of the fuzzy
stochastic variables when the model has fuzzy stochastic parameters both in the constraints and in the objec-
tive function. To illustrate the behavior of the proposed model and verify the performance of the developed
fuzzy stochastic-based approach, we introduce a number of numerical examples to explain the use of the fore-
going approach. Consequently, the results obtained are reported and discussed.
production planning problem. We consider fluctuation of demands and resources by a fuzzy stochastic
approach due to incomplete and/or unavailable information. A mathematical programming model that incorpo-
rates these aspects of uncertainty with grading products based on different qualities is developed to maximize
total profit, considering total costs includes cost of production, outsourcing, labor, and holding, with subject to
constraints associated with customer satisfaction, demand, and holding inventory. We also extend a new
approach of defuzzifying and derandomizing methods by measuring the superiority and inferiority of the fuzzy
stochastic variables when the model has fuzzy stochastic parameters both in the constraints and in the objec-
tive function. To illustrate the behavior of the proposed model and verify the performance of the developed
fuzzy stochastic-based approach, we introduce a number of numerical examples to explain the use of the fore-
going approach. Consequently, the results obtained are reported and discussed.