The economic lot scheduling problem: a pure genetic search approach

DOI10.1016/j.cor.2005.11.001zbMath1185.90069OpenAlexW1986221804MaRDI QIDQ878555

Dean C. Chatfield

Publication date: 26 April 2007

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

Full work available at URL: https://doi.org/10.1016/j.cor.2005.11.001

zbMATH Keywords

heuristicsproduction schedulinggenetic algorithmsmeta-heuristicssingle machine schedulinglot sizingELSPproduction and inventory systems

Mathematics Subject Classification ID

Deterministic scheduling theory in operations research (90B35) Approximation methods and heuristics in mathematical programming (90C59) Inventory, storage, reservoirs (90B05)

Related Items (5)

Genetic algorithms in supply chain management: a critical analysis of the literature ⋮ Planning of multi-product pipelines by economic lot scheduling models ⋮ Optimization of economic lot scheduling problem with backordering and shelf-life considerations using calibrated metaheuristic algorithms ⋮ Meta-heuristic algorithms for solving a fuzzy single-period problem ⋮ The economic lot scheduling problem under extended basic period and power-of-two policy

Cites Work

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• An extension of the extended basic period approach for economic lot scheduling problems
• The use of genetic algorithms to solve the economic lot size scheduling problem
• Scheduling Economic Lot Size Production Runs
• The Economic Lot-Scheduling Problem: Achieving Feasibility Using Time-Varying Lot Sizes
• Computing Optimal Lot Sizes in the Economic Lot Scheduling Problem
• Lot Sizing and Sequencing for N Products on One Facility
• The Economic Lot Scheduling Problem (ELSP): Review and Extensions
• Hybrid genetic algorithm for the economic lot-scheduling problem
• Rounding Off to Powers of Two in Continuous Relaxations of Capacitated Lot Sizing Problems
• On the General Feasibility Test of Scheduling Lot Sizes for Several Products on One Machine
• A Dynamic Programming Approach to a Lot Size Scheduling Problem
• Scheduling a Multi-Product Single Machine System

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