Rakhmasari, Aster Aryati (2020) A sensitivity analysis of stochastic programming for reverse logistic of herbs agro-industry: a case study of herbs logistic in Indonesia. International Conference on Innovation in Technology and Management for Sustainable Agroindustry (ITaMSA 2019), 472. pp. 1-10.

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Abstract

This paper analyses the sensitivity of reverse logistic formulation of herbs agroindustry
based on fuzzy stochastic mixed integer linear programming. A case study from real
world problem of herbs logistic in Indonesia is provided in order to respond stochastic
challenges in the reverse logistic system. For implementation purpose of this current progress,
some related historical and hypothetical data were deployed. The model was then used to test
how far this fuzzy quantitative modelling is capable to solve the problem within available data
ranges with consideration on possibility in each data occurrence. A GRG non-linear was used
as model solution to solve the fuzzy stochastic modelling with implementation using Excel
solver. The fuzzy quantitative modelling result with a case study in herbs logistic in Indonesia
is concluded with verification and validation on current model formulation for decision making
purposes in herbs reverse logistic.
Keywords: Herbs agroindustry, herbs logistic, reverse logistic, sensitivity analysis,
stochastic programming

Item Type:	Article
Subjects:	Rantai Pasok
Divisions:	D-3 Manajemen Logistik Industri Elektronika
Depositing User:	Aster Aryati Rakhmasari
Date Deposited:	30 Apr 2023 11:33
Last Modified:	30 Apr 2023 11:33
URI:	https://repository.poltekapp.ac.id/id/eprint/3466

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