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The concept of design-manufacturing collaboration for nano-lithography era has been clarified. The novel design-manufacturing system that the manufacturing tolerance reflecting design intention properly can be allocated to the layout has been proposed. According to the system, one can assign the “weak portion” explicitly on the layout, and can control the process for reducing the burden of manufacturing...
The multi-starting descent method is a promising approach to unimodal multiobjective function optimization problems because of its precision of obtained solutions. Descent methods can be classified into two categories; the multiobjective descent method directly using the Jacobian matrix of objective functions and the scalarized descent method using the gradient of a scalarized objective function....
Recently, mobile indoor robots have been intensively studied. When such mobile robots are operated, it is necessary to generate their trajectory automatically. In this study, a system which automatically generates the target trajectory avoiding obstacles in the indoor environment by real-time optimization is developed. Conventional artificial potential field method directly generates force which leads...
This paper deals with release time planning to reduce lead times of jobs in make-to-order production environments. In traditional MRP-based planning system, lead times are estimated using historical data and past experience without precisely considering capacity constraints. The proposed method in this paper is based on precise backward and forward scheduling simulation. First, backward simulation...
Reinforcement learning is a useful tool for complex control problems that cannot be modeled mathematically nor solved theoretically. Direct policy search(DPS) is an approach for reinforcement learning that represents a policy using some model and searches an optimal parameter directly by optimization techniques such as genetic algorithms(GA). Instance-based policy is a policy representation model...
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