## 3 Edible Oil Pipeline Model and System
### Framework of the Edible Oil Transportation System  
The framework of the edible oil transportation system, as illustrated in Figure 5, is composed of four major modules, including Database Management and Design, Multi-Objective Optimization Decision Module, Scheduling Simulation Module, and Decision and System Integration Module. * Database Management and Design Module: This module is responsible for inventory tracking and management of key resources, including control valves, storage tanks, edible oil transport pipelines, and pump motors. It maintains records of quantity, location, and flow direction to ensure the availability and optimal allocation of resources within the system; \begin{table}
\begin{tabular}{c c c c} \hline
**Large Oil Tank Area** & **Oil Types** & **Large Oil Tank Area** & **Oil Types** \\ \hline T5009\_OUT & Canola Oil(O) & T5009\_IN & Canola Oil(O) \\ T5010\_OUT & Soybean Oil & T5010\_IN & Soybean Oil \\ T5011\_OUT & Soybean Oil & T5011\_IN & Soybean Oil \\ T5012\_OUT & Degummed Oil & T5012\_IN & Degummed Oil \\ T5013\_OUT & Palm Oil(1) & T5013\_IN & Palm Oil(1) \\ T202\_OUT & Sesame Oil & T202\_IN & Sesame Oil \\ T201\_OUT & Sesame Oil & T201\_IN & Sesame Oil \\ TF501\_OUT & Sesame Oil & TF501\_IN & Sesame Oil \\ \hline \multicolumn{4}{c}{Packaging Tank Area} \\ \hline T0504\_IN & T0202\_IN & T101\_IN & T103\_IN \\ T0061\_IN & T0201\_IN & T102\_IN & T104\_IN \\ T0101\_IN & & & \\ \end{tabular} \({}^{\ast}\)IN\({}^{\ast}\) refers to edible oil flowing into the tank, while \({}^{\ast}\)OUT\({}^{\ast}\) indicates discharge from the tank. The model incorporates practical constraints, such as prioritizing pipeline resources for urgent tasks and scheduling maintenance to prevent leakage and reduce equipment wear. To evaluate the performance of the proposed scheduling system, simulations are conducted to assess pipeline utilization, algorithm execution efficiency, and the system’s ability to resolve resource conflicts. The results are subsequently reviewed and validated by on-site personnel to verify the feasibility and robustness of the decision-making mechanism under various production scenarios.  
\end{table} 
Table 1: _Cont._  
Figure 5: The architecture of the proposed Edible Oil Transportation System Framework based on multi-objective optimization [28]. The system consists of four main modules: database management, optimization decision-making, scheduling simulation, and decision integration. * Multi-Objective Optimization Decision Module: This module employs pathfinding algorithms to determine the optimal pipeline route for each oil transport task. It dynamically identifies the required pipeline components and extracts relevant information from the valve and pipeline database. Based on this data, objective function scores and estimated transport times are calculated. A multi-objective optimization scheduling approach is then applied to assign priority levels to each task;
* Scheduling Simulation Module: This module visualizes decision outcomes through 3D simulations. It outputs key performance indicators, such as transport duration, pipeline and equipment usage, optimal path distance, and computational time. These data support the decision-makers in monitoring execution status and assessing task performance in real time;
* Decision-Making and System Integration Module: This module consolidates decision results from each transport task and provides scientific decision support for scheduling. The final scheduling results are transmitted to hardware components, such as PLCs (programmable logic controllers), enabling seamless integration with the physical edible oil transport system for automated task execution. The primary contribution of this study lies in the application of multi-objective optimization theory to scheduling planning. By integrating this approach, the system is able to generate informed decision options and to achieve optimal allocation of resources and multitask execution.