A heuristic algorithm for master planning that satisfies multiple objectives

DOI10.1016/J.COR.2006.02.022zbMath1128.90026OpenAlexW1974810281MaRDI QIDQ883313

N. E. Zubov

Publication date: 4 June 2007

Published in: Computers \& Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cor.2006.02.022

zbMATH Keywords

supply chain managementmulti-objective linear programmingdemand fulfillmentmaster planningorder schedulingadvance planning and scheduling (APS)

Mathematics Subject Classification ID

Multi-objective and goal programming (90C29) Management decision making, including multiple objectives (90B50) Deterministic scheduling theory in operations research (90B35)

Related Items (9)

Approximation schemes for bi-objective combinatorial optimization and their application to the TSP with profits ⋮ Stochastic Multi-Objectives Supply Chain Optimization with Forecasting Partial Backordering Rate: A Novel Hybrid Method of Meta Goal Programming and Evolutionary Algorithms ⋮ Modèle linéaire mixte et heuristique pour un réseau de distribution à deux échelons pour des produits périssables ⋮ Tactical supply chain planning models with inherent flexibility: definition and review ⋮ Heuristic approaches for master planning in semiconductor manufacturing ⋮ Heuristics for an assembly flow-shop with non-identical assembly machines and sequence dependent setup times to minimize sum of holding and delay costs ⋮ Mathematical programming models for supply chain production and transport planning ⋮ Computation of a multi-objective production planning model with probabilistic constraints ⋮ Heuristic factory planning algorithm for advanced planning and scheduling

Cites Work

• A multi-commodity, multi-plant, capacitated facility location problem: Formulation and efficient heuristic solution.
• A symbiotic evolutionary algorithm for the integration of process planning and job shop scheduling.
• Integrated production/distribution planning in supply chains: An invited review
• Constraint satisfaction problems: Algorithms and applications
• On the optimization of supply chain networking decisions
• A computer-aided process planning model based on genetic algorithms
• Performance, reliability, and performability of material handling systems
• Planning and coordination of production and distribution facilities for multiple commodities

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