지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 대한산업공학회 Industrial Engineering & Management Systems Industrial Engineering & Management Systems Vol.20 No.4
- 발행연도
- 2021.12
- 수록면
- 529 - 535 (7page)
- DOI
- 10.7232/iems.2021.20.4.529
이용수
초록· 키워드
오류제보하기
Energy is one of the most important pillars in any production system. Recent studies show that with increasing energy consumption in manufacturing industries, energy efficiency is one of the most important challenges in factories. On the other hand, reducing energy consumption may increase delays in the delivery of production orders. For this reason, in this paper, a new mathematical model is presented to optimize the workshop flow with the aim of reducing energy consumption, reducing completion time and reducing latency. In this mathematical model, the limitations of using machines and determining the speed level for each machine are considered. In order to validate the mathematical model, a numerical problem is designed and the results of its optimization are examined and analyzed. Also, the relationship between energy consumption, completion time and delay time has been studied and analyzed, as well as the effect of machine speed on each of the objectives of the mathematical model.
목차
ABSTRACT
1. INTRODUCTION
2. MATHEMATICAL MODELING AND STATEMENT OF THE PROBLEM
3. NUMERICAL EXAMPLE SOLUTION AND ANALYSIS OF RESULTS
4. CONCLUSION
REFERENCES
참고문헌 (14)
참고문헌 신청
Lito M. Amit / 2021 / Effectiveness of Ergonomic Intervention in Work-related Postures and Musculoskeletal Disorders of Call Center Workers:A Case-control Study / Industrial Engineering & Management Systems 20(2):109~118
Gulmira Baybalinova / 2021 / A Novel MathematicalModel to Optimize Sustainable Supply Chain in the Lighting Products Industry / Industrial Engineering & Management Systems 20(2):289~296
Dai, M. / 2013 / Energy-efficient scheduling for a flexible flow shop using an improved genetic-simulated annealing algorithm / Robotics and Computer-Integrated Manufacturing 29(5):418~429
Fang, K. / 2011 / A new approach to scheduling in manufacturing for power consumption and carbon footprint reduction / Manufacturing Systems 30(4):234~240
Gilmanova, A. / 2021 / Building an internationally competitive concentrating solar power industry in China: Lessons from wind power and photovoltaics / Energy Sources, Part B: Economics, Planning, and Policy 16(6):515~541
Gulmira Baybalinova / 2021 / A Novel MathematicalModel to Optimize Sustainable Supply Chain in the Lighting Products Industry / Industrial Engineering & Management Systems 20(2):289~296
Dai, M. / 2013 / Energy-efficient scheduling for a flexible flow shop using an improved genetic-simulated annealing algorithm / Robotics and Computer-Integrated Manufacturing 29(5):418~429
Fang, K. / 2011 / A new approach to scheduling in manufacturing for power consumption and carbon footprint reduction / Manufacturing Systems 30(4):234~240
Gilmanova, A. / 2021 / Building an internationally competitive concentrating solar power industry in China: Lessons from wind power and photovoltaics / Energy Sources, Part B: Economics, Planning, and Policy 16(6):515~541
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