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A System Dynamics Model for Sales and Operations Planning: An Integrated Analysis for the Lime Industry

A System Dynamics Model for Sales and Operations Planning: An Integrated Analysis for the Lime Industry
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Author(s): Nayara Teixeira Santos (Federal Institute of Education, Science and Technology of Northern Minas Gerais (IFNMG), Araçuaí, Brazil), Gisele Tessari Santos (Institute of Technological Education (IETEC) and Brazilian Institute of Capital Markets (IBMEC), Belo Horizonte, Brazil), Washington Santos Silva (Federal Institute of Education, Science and Technology of Minas Gerais (IFMG), Campus Formiga, Brazil)and Wanyr Romero Ferreira (Institute of Technological Education (IETEC), Belo Horizonte, Brazil)
Copyright: 2020
Volume: 9
Issue: 1
Pages: 17
Source title: International Journal of System Dynamics Applications (IJSDA)
Editor(s)-in-Chief: Ahmad Taher Azar (College of Computer & Information Sciences, Prince Sultan University, Riyadh, Saudi Arabia & Faculty of Computers and Artificial Intelligence, Benha University, Benha, Egypt)
DOI: 10.4018/IJSDA.2020010101

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Abstract

The use of system dynamics techniques to model the sales and operations planning (S&OP), associated with the economic and financial processes, is an innovative proposal. The objectives of this article are to model and simulate the S&OP process integrated with the financial management in a Brazilian lime processing industry, based on the system dynamics approach. Initially, the model was validated. Then, over twenty scenarios were simulated to assess the behavior of the system with its key factors variation. In the microenvironment scenarios, the company's internal perspective was the only element taken into account. In turn, regarding the macro environment scenarios, the basis was the projection of lime consumption related to the country's GDP. The results have genuinely contributed to the industry researched, since the lime processing industry is struggling with obtaining enough supply due to lime acquisition price fluctuations and, consequently, the oscillation of its production costs.

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