The aim of this paper is to find a near-optimal solution including suitable locations of DCs and plants, the fraction of satisfied customer demands, and the fraction of items sent to DCs to minimize the total cost and to maximize fill rate, simultaneously.
The key design decisions considered are: the number and location of plants in the system, the flow of raw materials from suppliers to plants, the quantity of products to be shipped from plants to distribution centers, so as to minimize the combined facility location, production, inventory, and shipment costs and maximize fill rate.
YuMe's ad optimization platform is designed to maximize fill rates and respond to changes in impression supply with a proprietary yield optimization algorithm.
Their proposed model contained two objective functions, minimizing total SC cost and maximizing fill rate.
The considered objective functions are: maximizing the satisfaction levels of the closed loop supply chain stakeholders, sourced by sales and purchasing price, maximizing the fill rate of customer demands, maximizing the total profit.
The next step has been the creation of native ad networks, and of demand-side platforms that work with advertisers — but Polisetti said that until now, there hasn't been anything on the publisher side, allowing them to manage all their inventory in a way that maximizes their fill rate and revenue.
Their model's objectives were to minimize the total network cost, maximize the unit fill rate, and maximize the resource (facility) utilization subject to a host of capacity, demand, flow, and resource constraints.
The company also noted it has expanded AdMob mediation – a tool that lets developers maximize their fill rates by sending ad requests to multiple networks – to now 40 mediation partners, including major networks like Facebook, Twitter, AdRally, LeadBolt, Nend, AppsFire, and, more recently, the large Chinese mobile ad network Tencent GDT.
The company also noted it has expanded AdMob mediation – a tool that lets developers maximize their fill rates by sending ad requests to multiple networks – to now 40 mediation partners, including major networks like Facebook, Twitter, AdRally, LeadBolt, Nend, AppsFire, and, more recently, the large Chinese mobile ad network Tencent GDT.
This paper proposes a deterministic heuristic, a best fit algorithm (BFA), for solving the NP-hard two-dimensional rectangular packing problem to maximize the filling rate of a rectangular sheet.
Our goal is to maximize the aggregate fill rate, taking into consideration the number of required equipment transitions which cause undesirable variations in base resin properties.
