Scheduling Analysis and Strategic Service Planning for Optimum Operation of Two Parallel Machines Under Effect of Sequencing: A Case Study of a Manufacturing Company in a Job-Shop Environment

Mojtaba Nedaei
Additional contact information
Mojtaba Nedaei: Department of Energy Engineering, Faculty of Environment and Energy, Science and Research Branch, Islamic Azad University, Tehran, Iran & Department of Management and Engineering, University of Padova, Italy

International Journal of Service Science, Management, Engineering, and Technology (IJSSMET), 2018, vol. 9, issue 4, 57-72

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.

Date: 2018
References: Add references at CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 8/IJSSMET.2018100104 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jssmet:v:9:y:2018:i:4:p:57-72

Access Statistics for this article

International Journal of Service Science, Management, Engineering, and Technology (IJSSMET) is currently edited by Ahmad Taher Azar

More articles in International Journal of Service Science, Management, Engineering, and Technology (IJSSMET) from IGI Global
Bibliographic data for series maintained by Journal Editor ().