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Automated assembly lines are subject to unexpected failures, which can cause costly shutdowns. Generally, these errors are handled by human experts or logic controllers. However, these controller codes are based on anticipated error scenarios and are deficient in dealing with unforeseen situations. In our previous work (Baydar and Saitou, 2000a), an(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)
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)
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 difficult to anticipate all possible types of errors with their likelihood of occurrence. Several systems were developed in the literature, focusing on on-line(More)
Unexpected failures are one of the most important problems, which cause costly shutdowns in an assembly line. Generally the recovery process is done by the experts or automated error recovery logic controllers embedded in the system. The previous work in the literature is focused on the " on-line " recovery of the assembly lines which makes the process,(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)
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, 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)