Modeling and solving an economies‐of‐scale service system design problem
From MaRDI portal
Publication:6187314
DOI10.1111/itor.13199arXiv2006.07851OpenAlexW4293790321MaRDI QIDQ6187314
Publication date: 31 January 2024
Published in: International Transactions in Operational Research (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2006.07851
Lagrangian relaxation\(M/M/1\) queueeconomies of scaleservice systemmixed integer nonlinear programcongested facility location
Cites Work
- Efficient solution of a class of location-allocation problems with stochastic demand and congestion
- Supply chain design considering economies of scale and transport frequencies
- Congestion service facilities location problem with promise of response time
- Exact solution of a class of nonlinear knapsack problems
- A review of congestion models in the location of facilities with immobile servers
- An exact algorithm for the capacitated facility location problems with single sourcing
- Service system design for managing interruption risks: a backup-service risk-mitigation strategy
- Service system design with immobile servers, stochastic demand and concave-cost capacity selection
- An inventory-location model: Formulation, solution algorithm and computational results
- Designing a service system with price- and distance-sensitive demand: a case study in mining industry
- A Lagrangian heuristic for concave cost facility location problems: the plant location and technology acquisition problem
- Locating emergency services with different priorities: the priority queuing covering location problem
- Lagrangian Relaxation for Integer Programming
- A LAGRANGEAN APPROACH TO THE FACILITY LOCATION PROBLEM WITH CONCAVE COSTS
- Optimal Facility Location with Concave Costs
- The facility location problem with general cost functions
- Fundamentals of Queueing Theory
- Facility location models for immobile servers with stochastic demand
- Convexification of Queueing Formulas by Mixed-Integer Second-Order Cone Programming: An Application to a Discrete Location Problem with Congestion
- The multiple server location problem
- Capacity planning with congestion effects
- Designing service system networks with interruption risks
This page was built for publication: Modeling and solving an economies‐of‐scale service system design problem