Multi-period technician scheduling with experience-based service times and stochastic customers
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Publication:1652258
DOI10.1016/j.cor.2016.12.026zbMath1391.90248OpenAlexW2570486275WikidataQ56476009 ScholiaQ56476009MaRDI QIDQ1652258
Mike Hewitt, Barrett W. Thomas, Xi Chen
Publication date: 11 July 2018
Published in: Computers \& Operations Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.cor.2016.12.026
Deterministic scheduling theory in operations research (90B35) Dynamic programming (90C39) Markov and semi-Markov decision processes (90C40)
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Cites Work
- Branch-and-price and constraint programming for solving a real-life technician dispatching problem
- Workforce planning incorporating skills: state of the art
- A tabu search algorithm for the multi-period inspector scheduling problem
- A 2-stage method for a field service routing problem with stochastic travel and service times
- A branch and price algorithm for the pharmacy duty scheduling problem
- A parallel matheuristic for the technician routing and scheduling problem
- A robust optimization approach to dispatching technicians under stochastic service times
- A GRASP-based approach for technicians and interventions scheduling for telecommunications
- Optimal dynamic portfolio selection for projects under a competence development model
- Scheduling technicians and tasks in a telecommunications company
- On the statistical origins of the learning curve
- Assigning cross-trained workers to departments: a two-stage optimization model to maximize utility and skill improvement
- Heuristics for workforce planning with worker differences
- Competence-driven project portfolio selection, scheduling and staff assignment
- Fast local search and guided local search and their application to British Telecom's workforce scheduling problem
- A rollout algorithm framework for heuristic solutions to finite-horizon stochastic dynamic programs
- Branch-and-price approaches for the multiperiod technician routing and scheduling problem
- Effective heuristic procedures for a field technician scheduling problem
- An improved MIP-based approach for a multi-skill workforce scheduling problem
- A state-of-the-art review on scheduling with learning effects
- Integer programming techniques for solving non-linear workforce planning models with learning
- An emergency vehicle dispatching system for an electric utility in Chile
- Work assignment to and qualification of multi-skilled human resources under knowledge depreciation and company skill level targets
- Multiperiod Planning and Routing on a Rolling Horizon for Field Force Optimization Logistics
- Managing Learning and Turnover in Employee Staffing
- Incorporating the strength of MIP modeling in schedule construction
- Scenario-Based Planning for Partially Dynamic Vehicle Routing with Stochastic Customers
- Learning and forgetting-based worker selection for tasks of varying complexity
- Statistical Analysis of a Telephone Call Center
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