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All Journal Agroindustrial Journal
Endy Suwondo
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Agriculture, Biological Sciences & Forestry Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering Social Sciences

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DYNAMIC LOT-SIZING PROBLEMS: A Review on Model and Efficient Algorithm Endy Suwondo; Henry Yuliando
Agroindustrial Journal Vol 1, No 1 (2012)
Publisher : APTA and DTIP FTP UGM

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (178.216 KB) | DOI: 10.22146/aij.v1i1.24992

Abstract

Due to their importance in industry, dynamic demand lot-sizing problems are frequently studied.This study consider dynamic lot-sizing problems with recent advances in problem and modelformulation, and algorithms that enable large-scale problems to be effectively solved.Comprehensive review is given on model formulation of dynamic lot-sizing problems, especiallyon capacitated lot-sizing (CLS) problem and the coordinated lot-sizing problem. Bothapproaches have their intercorrelated, where CLS can be employed for single or multilevel/stage, item, and some restrictions. When a need for joint setup replenishment exists, thenthe coordinated lot-sizing is the choice. Furthermore, both algorithmics and heuristics solutionin the research of dynamic lot sizing are considered, followed by an illustration to provide anefficient algorithm.
Co-Authors Henry Yuliando