Because the underlying physiology of pathological tremor in a Parkinson's patient is not well understood, the existing physical and drug therapies have not been successful in tremor treatment. Different mathematical modeling of such vibration has been introduced to investigate the problem and reduce the existing vibration. Most of the models have represented the induced vibration as a sinusoida...

In this paper we introduce a robust optimization approach to solve the milk run system with time window with inventory uncertainty. This approach yields routes that minimize transportation costs while satisfying all inventory in a given bounded uncertainty set. The idea of Milk Run problem has been used in the context of logistic and supply chain problems in order to manage the transportation o...

Machinery with several rotating and stationary components tends to produce non-stationary random vibration signatures due the fluctuations in input loads process defects long hours of operation. Traditional heuristics methods are suitable for detection fault signatures, however, they become more complicated when level uncertainty or randomness exceeds beyond control. A novel methodology identif...

Uncertainty plays a significant role in modeling and optimization of real world systems. Among uncertain approaches, fuzziness describes impreciseness while for ambiguity another definition is required. Vagueness is a probabilistic model of uncertainty being helpful to include ambiguity into modeling different processes especially in industrial systems. In this paper, a vague set based on dista...

We present an improved implementation of the Wagner-Whitin algorithm for economic lot-sizing problems based on the planning-horizon theorem and the Economic- Part-Period concept. The proposed method of this paper reduces the burden of the computations significantly in two different cases. We first assume there is no backlogging and inventory holding and set-up costs are fixed. The second model ...

In this paper, a new adaptive robustified filter algorithm of recursive weighted least squares with combined scale and variable forgetting factors for time-varying parameters estimation in non-stationary and impulsive noise environments has been proposed. To reduce the effect of impulsive noise, whether this situation is stationary or not, the proposed adaptive robustified approach extends the ...

Most resource management problems exist in a setting of not only risk, but of Knightian uncertainty. That is, not only is the problem stochastic, the underlying distribution for this randomness is not known with certainty and is difficult to recover. When faced with such problems of uncertainty or ambiguity, many decision makers do not follow a simple subjective expected utility type behavior (...