Prof Hartrisari Hardjomidjojo Explores Model Based System Engineering for Decision Making in the Agroindustry Sector
According to Prof Hartrisari Hardjomidjojo, a Professor at IPB University’s Faculty of Agricultural Technology, the current digital era has brought significant changes to human life. This situation also has a profound impact on decision-making processes, including those in the agroindustry sector.
“In decision-making within the agroindustry sector, a comprehensive identification of all interrelated factors that make problems complex is required. When dealing with complex problem-solving, it is not possible to address the issue directly within agroindustry operations,” she stated during the Pre Inaugural Professorial Lecture Press Conference at IPB University on Thursday, (21/9).
Prof Hartrisari explained that model based systems engineering (MBSE) is an effective approach to assist decision making in addressing problems or advancing the agroindustry. System analysts must understand the mechanisms within the system and define essential variables to be considered in the model to achieve predetermined goals.
She pointed out that the model constructed will not be an exact replica of the actual system. The more variables included in the model, the more challenging it becomes to explain the underlying processes.
“Some example models that will be discussed in this lecture include models built following the MBSE approach in the field of agroindustry, such as a simulation model of urban waste transportation, a dynamic spatial model of food security, a performance measurement model for agroindustry, and a risk management implementation measurement model based on ISO 31000:2018,” Prof Hartrisari elaborated.
For instance, the simulation model of urban waste transportation aims to manage the flow of waste in the city of Bogor to prevent waste accumulation, thereby ensuring a clean environment. The urban waste transportation model represents the behavior of waste transportation from households, markets, to the final disposal site (TPA) to prevent waste accumulation. The simulation results indicate that with the current fleet size, there is still uncollected waste piling up.
“The main challenge when developing and implementing model-based systems in the agroindustry sector is first identifying what agroindustry is or what industries exist and categorizing them. Then, we need to understand the processes involved using the 7M 1E framework, which encompasses management, machine, method, material, man, money, market, and environment,” she concluded. (Ns/Rz) (IAAS/DSR)
