A new mathematical formulation for a potash-mine shift scheduling problem with a simultaneous assignment of machines and workers

DOI10.1016/j.ejor.2020.10.007zbMath1487.90322OpenAlexW3092099494MaRDI QIDQ2030539

Marco Schulze, Cinna Seifi, Jürgen Zimmermann

Publication date: 7 June 2021

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejor.2020.10.007

zbMATH Keywords

schedulingsequence-dependent setup timesmixed-integer linear programmingunderground miningshift scheduling

Mathematics Subject Classification ID

Mixed integer programming (90C11) Deterministic scheduling theory in operations research (90B35)

Related Items (5)

Optimization of the integrated problem of employee timetabling and job shop scheduling ⋮ A real-world mine excavators timetabling methodology in open-pit mining ⋮ Mixed Integer Linear Programming for a Real-World Parallel Machine Scheduling Problem with Workforce and Precedence Constraints ⋮ Solution procedures for block selection and sequencing in flat-bedded potash underground mines ⋮ Short-term scheduling of production fleets in underground mines using CP-based LNS

Cites Work

• Machine scheduling in underground mining: an application in the potash industry
• The third comprehensive survey on scheduling problems with setup times/costs
• Solving an integrated job-shop problem with human resource constraints
• Solving an integrated employee timetabling and job-shop scheduling problem via hybrid branch-and-bound
• Integrating employee timetabling with scheduling of machines and transporters in a job-shop environment: a mathematical formulation and an anarchic society optimization algorithm
• Staff and machine shift scheduling in a German potash mine
• A worker constrained flexible job shop scheduling problem with sequence-dependent setup times
• Personnel scheduling: a literature review
• Flow shop scheduling with heterogeneous workers
• The hybrid flow shop scheduling problem
• Evolutionary algorithms for multi-objective dual-resource constrained flexible job-shop scheduling problem
• Flow Shop Scheduling with Partial Resource Flexibility
• A multi-criteria adaptive control scheme based on neural networks and fuzzy inference for DRC manufacturing systems

This page was built for publication: A new mathematical formulation for a potash-mine shift scheduling problem with a simultaneous assignment of machines and workers