Analysis of specific agricultural commodity supply chain modelling in Indonesia

Hidayat, Syarif and Sriwana, Iphov Kumala and Nurhasanah, Nunung (2022) Analysis of specific agricultural commodity supply chain modelling in Indonesia. In: What to Know about Supply Chain Management. Business Issues, Comepetition and Entrepreneurship . Nova Science Publishers, New York, pp. 1-25. ISBN 978-1-68507-455-5

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This paper offers an analysis of Supply Chain Modelling studies for three specific agricultural commodities in Indonesia, palm oil, cacao and kenaf. The three commodities have similar and different characteristics. The aim of this paper is to discuss how researchers, working on the three different commodities, attempted to develop models using different environments and goals. Next researchers delved into the nature of research techniques and methods used to identify what aspects can be learned from each so that in future studies they can either collaborate or make use of the techniques/methods to conduct researches with better results. Initially each researcher discussed the nature of the industry, goals and approaches, comparing methods and outcomes of the simulation. After all, modelling always follows similar if not the same steps. While there is no perfect generic model of the supply chain, especially in the agricultural business, there is always an opportunity to improve the quality of models in terms of their usability by the supply chain actors. The first two models made use of the combined agent-based fuzzy-AHP approach while the third made use of the soft system methodology and sought to develop an intelligent decision making tool to assist the farmers in order to optimize their added value and measure performances. Readers of this paper will find that interaction and collaboration between the three studies will reveal ways to fine tune their research techniques and methods that will benefit future endeavours.

Item Type: Book Section
Uncontrolled Keywords: research collaboration, soft system methodology, agent-based modelling, intelligent decision making, agricultural supply chain, fuzzy-AHP
Subjects: 300 Social sciences > 330 Economics > 333 Economic of Land and Energy
600 Applied sciences & technology > 630 Agriculture
600 Applied sciences & technology > 650 Management & public relations > 658 General Management
Divisions: Universitas Al-Azhar Indonesia (UAI) > Fakultas Sains dan Teknologi (FST) > Teknik Industri
Depositing User: Rifda Jilan
Date Deposited: 10 May 2023 09:01
Last Modified: 10 Aug 2023 06:22

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