Scheduling Analysis and Strategic Service Planning for Optimum Operation of Two Parallel Machines Under Effect of Sequencing

Abstract

In this paper, a novel scheduling model for a job-shop environment under the effect of sequencing was proposed. The decision variables from a manufacturing company, which consists of two designed parallel machines with zero buffer capacity, each with 10 jobs were investigated. Four scheduling models for the purpose of sequencing were also developed. The variations of the energy consumption and processing time of the machines was also studied to let the designers know exploring better solutions towards enhancing the performance of the machines. Comparison of the optimum results confirmed the conflicting relation of the energy consumption and make-span in the studied job-shop. It was also concluded that the first operating machine had significantly more compressed and accumulated processing hours. Additionally, the primary factors affecting the reliability and efficiency of the machines were identified and examined. The further results have also demonstrated the practical implications of the current analysis from an energy and operational perspective.