Abstract The diversity of products and fierce competition make the stability production cost manufacturing industry more important. So, purpose this paper is to deal with multi-product aggregate planning (APP) problem considering in workforce total costs, propose an efficient algorithm. Taking into account relationship raw materials, inventory product demand, a multi-objective programming model...

In the last few years, multimedia processing inWireless Sensor Networks (WSNs) has become a promising technology. It has the potential to enable a large class of applications, most of them related to surveillance and locating (i.e. target detection and tracking, border protection, patient and elderly assistance, people and object identification, environment monitoring, fire detection, industria...

The integration of marketing and demand with logistics and inventories (supply side of companies) may cause multiple improvements; it can revolutionize the management of the revenue of rental companies, hotels, and airlines. In this paper, we develop a multi-objective pricing-inventory model for a retailer. Maximizing the retailer's profit and the service level are the objectives, and shorta...

We analyze combinatorial optimization problems with ordinal, i.e., non-additive, objective functions that assign categories (like good, medium and bad) rather than cost coefficients to the elements of feasible solutions. review different optimality concepts for ordinal discuss their similarities differences. then focus on two prevalent are shown be equivalent. Our main lies investigation a bije...

Beneficial Management Practices (BMPs) are important measures for reducing agricultural non-point source (NPS) pollution. However, selection of BMPs for placement in a watershed requires optimizing available resources to maximize possible water quality benefits. Due to its iterative nature, the optimization typically takes a long time to achieve the BMP trade-off results which is not desirable ...