| dc.description.abstract | In the processing and production of steel structure parts, besides the effective classification of the different production components, the processing operators and the stakeholders are most concerned about the time, the human resources, and the cost required to execute the processing and production. However, under the traditional method, when dispatching human resources, it often encounters the dilemma of spending a lot of planning time and unable to achieve the most effective workforce deployment. Solutions with mathematical planning are developed to improve the efficiency of manpower scheduling and reduce the total salary cost.
This research considers the restrictive conditions in the scheduling of processing operations, turning factors such as construction period, production and processing projects, human resources, and salary costs into parameters. It constructs the corresponding integer programming mathematical model, which is then used in the LINGO computer software to solve the problem. The time is significantly shortened to obtain more efficient use of resources than manual scheduling. This research uses a processing operation of a steel structure factory as a sample to confirm the validity and operational efficiency of the mathematical programming model. The aforementioned mathematical model obtains solutions which then compare with the manual scheduling. Regardless of the time spent and the final result, this research’s resolution on the sample problem is better than the manual scheduling. In addition, the sensitivity analysis of labor costs, time, and completion requirements in the processing operation flow is carried out in this research. The results can help provide decision-makers with a reference basis for future staffing scheduling and recruitment.
Keywords: steel processing job scheduling, minimum cost, optimization, integer programming. | en_US |