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A Comparative Analysis of Job Scheduling for Optimum Performance of Parallel Machines by Considering the Energy Consumption

Author

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  • Maurizio Faccio
  • Mojtaba Nedaei
  • Francesco Pilati

Abstract

In this study, a comparative analysis of scheduling of machines and jobs was conducted by proposing a method, which aims to optimize the performance of the job-shop environment. A wide range of objective functions including make-span, maximum tardiness, total flow time, total tardiness, total weighted flow time, and total weighted tardiness, and energy consumption. The decision variables of a manufacturing company including the job’s weight, stating and completion time, due dates, releasing date, and processing time were considered as inputs of the optimization model. Then, subject to the defined technical constraints of the system, a comparative analysis on the basis of eight scheduling methods was conducted to assess the performance indicators of the job-shop system. Results of the analysis revealed variations of different objective functions based on the proposed methods. The optimum make-span varied from minimum of 210 days estimated by the Earliest Due Date (EDD) method, up to 222 days estimated by the Critical Ratio (CR) method. Further recommendations were also made for optimum values of the involved decision variables in the considered job-shop environment. Results revealed that the maximum tardiness was best optimized using the EDD method, whilst the Shortest Processing Time (SPT) led to the best optimum value for the total flow time. Analysis of the energy evaluation of the machines showed that the optimum overall energy consumption has been observed with the value of 7,934 kWh for the first operating machine under the effect of the Minimum Slack method, whilst the optimum energy consumption for the second machine was observed with the value of 7,968 kWh using the First Come First Served (FCFS). Last stage of study recommended the optimum planning schedules and resource allocations of the jobs in the machines considering each scheduling method during the operation of the designed job-shop.

Suggested Citation

  • Maurizio Faccio & Mojtaba Nedaei & Francesco Pilati, 2018. "A Comparative Analysis of Job Scheduling for Optimum Performance of Parallel Machines by Considering the Energy Consumption," European Journal of Engineering and Technology Research, European Open Science, vol. 3(9), pages 6-11, September.
    • Handle: RePEc:epw:ejeng0:v:3:y:2018:i:9:id:60841
    DOI: 10.24018/ejeng.2018.3.9.841
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    References listed on IDEAS

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    1. Shi Qiang Liu & Erhan Kozan & Mahmoud Masoud & Yu Zhang & Felix T.S. Chan, 2018. "Job shop scheduling with a combination of four buffering constraints," International Journal of Production Research, Taylor & Francis Journals, vol. 56(9), pages 3274-3293, May.
    2. Li, Guo & Liu, Mengqi & Sethi, Suresh P. & Xu, Dehua, 2017. "Parallel-machine scheduling with machine-dependent maintenance periodic recycles," International Journal of Production Economics, Elsevier, vol. 186(C), pages 1-7.
    3. S. M. Johnson, 1954. "Optimal two‐ and three‐stage production schedules with setup times included," Naval Research Logistics Quarterly, John Wiley & Sons, vol. 1(1), pages 61-68, March.
    4. Shabtay, Dvir & Zofi, Moshe, 2018. "Single machine scheduling with controllable processing times and an unavailability period to minimize the makespan," International Journal of Production Economics, Elsevier, vol. 198(C), pages 191-200.
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