Pages that link to "Item:Q1872024"

The following pages link to Location-allocation of multiple-server service centers with constrained queues or waiting times (Q1872024):

Displaying 33 items.

• Efficient solution of a class of location-allocation problems with stochastic demand and congestion (Q337037) (← links)
• The impact of client choice on preventive healthcare facility network design (Q427500) (← links)
• Congestion service facilities location problem with promise of response time (Q474020) (← links)
• Single-facility huff location problems on networks (Q490213) (← links)
• A hybrid hypercube - genetic algorithm approach for deploying many emergency response mobile units in an urban network (Q531449) (← links)
• The gravity multiple server location problem (Q609819) (← links)
• A review of congestion models in the location of facilities with immobile servers (Q859675) (← links)
• Approximation algorithms for facility location problems with a special class of subadditive cost functions (Q860875) (← links)
• A fuzzy queuing location model with a genetic algorithm for congested systems (Q945385) (← links)
• Incorporating congestion in preventive healthcare facility network design (Q1042077) (← links)
• Locating and staffing service centers under service level constraints (Q1044135) (← links)
• Location-allocation on congested networks (Q1078058) (← links)
• A service logistics model for simultaneous siting of facilities and multiple levels of equipment (Q1342332) (← links)
• Location of multiple-server congestible facilities for maximizing expected demand, when services are non-essential (Q1417708) (← links)
• The probabilistic \(p\)-center problem: planning service for potential customers (Q1683071) (← links)
• Linear upper-bound unavailability set covering models for locating ambulances: application to Tehran rural roads (Q1926853) (← links)
• Linear formulations and valid inequalities for a classic location problem with congestion: a robust optimization application (Q2191296) (← links)
• A model for locating preventive health care facilities (Q2201316) (← links)
• Multi-objective hub network design under uncertainty considering congestion: an M/M/c/K queue system (Q2290577) (← links)
• Optimizing the size and locations of facilities in competitive multi-site service systems (Q2384881) (← links)
• Facility location under service level constraints for heterogeneous customers (Q2399319) (← links)
• A multiple server location-allocation model for service system design (Q2468482) (← links)
• An approximation algorithm for a facility location problem with stochastic demands and inventories (Q2494818) (← links)
• Locating repair shops in a stochastic environment (Q2581600) (← links)
• Optimal location of multi-server congestible facilities operating as <i>M</i>/<i>E</i>_<i>r</i>/<i>m</i>/<i>N</i> queues (Q3184442) (← links)
• Coordination of staffing and pricing decisions in a service firm (Q3552631) (← links)
• Emergency service systems: The use of the hypercube queueing model in the solution of probabilistic location problems (Q3638852) (← links)
• Capacitated service and regional constraints in location-allocation modeling (Q4228776) (← links)
• An analysis of service schedules for the mobile k-server problem (Q4229646) (← links)
• Location of single-server immobile facilities subject to a loss constraint (Q4933625) (← links)
• Allocating servers to facilities, when demand is elastic to travel and waiting times (Q5479858) (← links)
• A portfolio optimization approach to design of congested multi‐service networks with application in community healthcare: fractional 0‐1 programming (Q6092601) (← links)
• Fast heuristics for the time-constrained immobile server problem (Q6659813) (← links)