Robust parallel-batching scheduling with fuzzy deteriorating processing time and variable delivery time in smart manufacturing
DOI10.1007/s10700-020-09324-xzbMath1457.90175OpenAlexW3014912340MaRDI QIDQ2218774
Shaojun Lu, Panos M. Pardalos, Jun Pei, Xin-Bao Liu
Publication date: 18 January 2021
Published in: Fuzzy Optimization and Decision Making (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10700-020-09324-x
variable neighborhood searchdeliverydeteriorating effectparallel-batching machinesfuzzy processing timemulti-verse optimizer
Deterministic scheduling theory in operations research (90B35) Fuzzy and other nonstochastic uncertainty mathematical programming (90C70) Robustness in mathematical programming (90C17)
Cites Work
- Single-machine scheduling with past-sequence-dependent delivery times and a linear deterioration
- Parallel-batch scheduling of deteriorating jobs with release dates to minimize the makespan
- Unrelated parallel machine scheduling using local search
- Variable neighborhood search
- A concise survey of scheduling with time-dependent processing times
- Integrated production and transportation on parallel batch machines to minimize total weighted delivery time
- A simulated annealing algorithm for the capacitated vehicle routing problem with two-dimensional loading constraints
- Supplier selection in supplier chain management using Choquet integral-based linguistic operators under fuzzy heterogeneous environment
- Fuzzy programming for multiobjective job shop scheduling with fuzzy processing time and fuzzy duedate through genetic algorithms
- Single-machine scheduling with learning effect and resource-dependent processing times in the serial-batching production
- Parallel-machine scheduling with job-dependent cumulative deterioration effect and rejection
- Optimization and Approximation in Deterministic Sequencing and Scheduling: a Survey
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