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Journal : Agroindustrial Journal

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.
Application of Analytical Network Process and Conditional Probability Co-occurrences Matrix for Business Modelling of Small-Medium Enterprises Mirwan Ushada; Henry Yuliando
Agroindustrial Journal Vol 2, No 1 (2013)
Publisher : APTA and DTIP FTP UGM

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (258.825 KB) | DOI: 10.22146/aij.v2i1.24999

Abstract

In Indonesia, the scope of agroindustry are related to the food and non-food industry managedby Small-Medium Enterprises (SME). The classical problem of Indonesian Agroindustry wererelated to logistic, infrastructure, technology, high-cost economy, regulation, and financingconstraint. Therefore, an innovative business model is required for competitive and sustainableSME. Importance rate of the model can be defined by determining some criteria in a businessmodel. Analytical Network Process (ANP) is required to determine importance rate of businessmodel. However, ANP could not minimize the subjectivity factor of the respondent indetermining the criteria. Application of Conditional Probability Co-occurrences Matrix (CPCM)is required to minimize the subjectivity factor by comparing priority weight of each criterias. Theresearch objectives are: 1) To apply ANP method for representing business model criteria andattribute of SME; 2) To apply CPCM method for criteria pattern extraction. The case study ofresearch is SME Bakpia Tela Ungu and Telopia. CPCM Pattern extraction of Contrast, Energyand Local Homogeneity indicated the significant different of business model criteria betweenfood, non-food agroindustry and local governmental board. The research results indicated thatthere were different subjectivity to determine criteria priority weight.