Open AccessThe Application of Soft System Methodology to design the Conceptual Model for Intelligent Supply Chain Model of Natural Fibre Agroindustry
Author(s) -
Nunung Nurhasanah,
Machfud,
Djumali Mangunwidjaja,
Muhammad Romli
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/847/1/012089
Subject(s) - supply chain , computer science , conceptual model , soft computing , productivity , process management , systems engineering , industrial engineering , engineering , artificial intelligence , business , artificial neural network , marketing , database , economics , macroeconomics
Soft system methodology in designing an intelligent supply chain is defined as a system-based method that is holistically constructed without reduction, according to representation from the real world, coming from stakeholders interacting one to another to gain value added and improve profits through data training and data saving on cloud presented from human to system of real-world database. This study aimed to apply a soft system methodology approach in designing an intelligent supply chain model of natural fibre agroindustry. A conceptual model was successfully developed and produced eight activities which were compared though assessment criteria of efficiency, efficacy, and effectiveness. The eight activities mentioned are productivity improvement, data mining to predict demand and stock, development of a collaborative planning forecasting and replenishment model, development of an intelligent decision support system, digital platform construction, value added improvement, enhancement of efficiency and response to buyers, as well as improvement in supply chain performance. This study has not yet carried out the stages of taking action to improve the problem situation, and will be carried out in further study.