A lot-sizing and scheduling model for multi-stage flow lines with zero lead times

DOI10.1016/j.ejor.2012.10.011zbMath1292.90124OpenAlexW2025279747MaRDI QIDQ2253519

Florian Sahling, Hartmut Stadtler

Publication date: 27 July 2014

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

Full work available at URL: https://doi.org/10.1016/j.ejor.2012.10.011

zbMATH Keywords

schedulinglot-sizingfix-and-optimizezero lead time offset

Mathematics Subject Classification ID

Deterministic scheduling theory in operations research (90B35)

Related Items (7)

Multiple-stage multiple-machine capacitated lot-sizing and scheduling with sequence-dependent setup: a case study in the wheel industry ⋮ Simultaneous lotsizing and scheduling problems: a classification and review of models ⋮ Mixed integer programming based heuristics for the patient admission scheduling problem ⋮ Multi-stage simultaneous lot-sizing and scheduling for flow line production ⋮ A Benders decomposition approach for solving the offshore wind farm installation planning at the North Sea ⋮ Planning and scheduling of the make-and-pack dairy production under lifetime uncertainty ⋮ Multi-level lot sizing and job shop scheduling with compressible process times: a cutting plane approach

Cites Work

• Multi-level single machine lot-sizing and scheduling with zero lead times
• A genetic algorithm for multi-level, multi-machine lot sizing and scheduling
• Lotsizing and scheduling for production planning
• Time continuity in discrete time models. New approaches for production planning in process industries.
• Capacitated lot-sizing with sequence dependent setup costs
• A genetic algorithm for simultaneous optimisation of lot sizing and scheduling in a flow line assembly
• The Deterministic Dynamic Product Cycling Problem
• A Lagrangean-Based Heuristic for Dynamic Multilevel Multiitem Constrained Lotsizing with Setup Times
• Proportional lot sizing and scheduling: Some extensions
• Campaign planning in time-indexed model formulations
• Production Planning by Mixed Integer Programming

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