Cem M. Baydar

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Automated assembly systems often stop their operation due to the unexpected failures occurred during their assembly process. Since these large-scale systems are composed of many parameters, it is dif®cult to anticipate all possible types of errors with their likelihood of occurrence. Several systems were developed in the literature, focussing on on-line(More)
Large-scale automated assembly systems are widely used in automotive , aerospace and consumer electronics industries to obtain high quality products in less time. However, one disadvantage of these automated systems is that they are composed of too many working parameters. Since it is not possible to monitor all these parameters during the assembly process,(More)
The ever-increasing competition in retail industry puts pressure on retailers to deal with their customers more efficiently. Currently most companies use Customer Relationship Management (CRM) systems to maximize the customer satisfaction level by trying to understand more about their behaviors. However, one disadvantage of the current approaches is that(More)
In this paper, the advantages and performance of genetic programming in use of error recovery planning in robotic assembly systems is discussed. Existing systems use polynomial time planning techniques or heuristics to produce error recovery plans. However, these systems require translation of the generated plans to working controller codes. An alternative(More)
Currently, most of the grocery stores provide special discounts to their customers under different loyalty card programs. However, since each individual's shopping behavior is not taken into consideration, these discounts do not help optimize the store performance. We believe that a more determined approach such as individual pricing could enable retailers(More)
In this paper, a simulation-based approach of optimizing a grocery store's performance is discussed. Currently, most of the grocery stores provide special discounts to their customers under different loyalty card programs. We believe that a more determined approach such as personalized pricing could enable retailers to optimize their store performance. The(More)
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