To deal with the low accuracy of demand forecasting in supply chain, this paper uses the genetic algorithm to estimate the developing coefficient and the control variable of the GM(1,1) model and predicts the demand of every level in supply chain with this forecasting model, then uses a negotiation algorithm based on game theory to optimize the demand forecast when demand forecast disruption oc...

Sanitation improvement is crucial in saving lives that are lost due to water contamination. Progress towards achieving full sanitation coverage is still slow in low-income informal settlements in most developing countries. Furthermore, resources are being wasted on installing facilities that are later misused or never used because they do not meet the local demand. Understanding demand for impr...

This paper considers the ranking of alternative replenishment policies for a single-location inventory when customer demand is con"ned to a single product. It is supposed that customer demand is uncertain and described by imprecise linguistic terms de"ned by fuzzy sets. For example, `demand is about da, or `demand is more or less between d and d a, or more complex `demand is about d, but there ...

This paper presents a saturated proportional controller that achieves depollution of wastewater in a continuous anaerobic digester. This goal is reached by defining a region of the state-space where the depollution is achieved and forcing attractivity and invariance of this region. The control variable is the dilution rate and the controlled variable is a linear combination (S(lambda)) of the s...

Energy demand pattern have many variables related to uncertainty behavior. These lead to a higher estimation rate of energy demand forecasting. However, two problems need to be overcome. The first problem is the fitness evaluation in energy demand forecasting model in which more than one variable are included, and the second problem is the local optimality that single algorithm fails to solve. ...

In search auctions, when the total budget for an advertising campaign during a certain promotion period is determined, advertisers have to distribute their budgets over a series of sequential temporal slots (e.g., daily budgets). However, due to the uncertainties existed in search markets, advertisers can only obtain the value range of budget demand for each temporal slot based on promotion log...