A metric-based framework for sustainable production scheduling

被引:28
作者
Abedini, Amin [1 ]
Li, Wei [1 ]
Badurdeen, Fazleena [1 ]
Jawahir, I. S. [1 ]
机构
[1] Univ Kentucky, Dept Mech Engn, Inst Sustainable Mfg, Lexington, KY 40506 USA
关键词
Sustainability; Production scheduling; Trade-off balancing; COMPLETION-TIME VARIANCE; WAIT FLOW-SHOP; SINGLE-MACHINE; ENERGY-CONSUMPTION; JOB SHOPS; MINIMIZATION; OPTIMIZATION; EARLINESS; MAKESPAN; PRINCIPLES;
D O I
10.1016/j.jmsy.2019.12.003
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Production scheduling involves operational level decision making at the shop floor that covers not only the manufacturing stage of the product life-cycle, but also the use stage of the processes. Triple bottom line (TBL) including economic, environmental, and social pillars has been introduced to holistically evaluate the performance of a production firm. Despite the substantial research in sustainable manufacturing, a holistic model that considers all three pillars of the TBL for sustainable production scheduling is virtually absent. This paper presents a metric-based model to systematically and holistically evaluate the sustainability of the production schedules. To this aim, we first perform an extensive literature review to identify the fundamental performance metrics in production scheduling. Second, we assess those metrics with respect to the TBL. Third, we show the inconsistencies among the fundamental performance metrics, and consequently among the objectives defined in the TBL. Finally, we propose a generic model for production scheduling for sustainability based on balancing the trade-offs among the inconsistent objectives. The efficiency and effectiveness of the proposed model is demonstrated using a comprehensive numerical study. The proposed model not only provides a sustainable schedule, but also results in better control over the fundamental performance metrics of the production scheduling.
引用
收藏
页码:174 / 185
页数:12
相关论文
共 73 条
[31]   An energy-responsive optimization method for machine tool selection and operation sequence in flexible machining job shops [J].
He, Yan ;
Li, Yufeng ;
Wu, Tao ;
Sutherland, John W. .
JOURNAL OF CLEANER PRODUCTION, 2015, 87 :245-254
[32]   Flowshop-scheduling problems with makespan criterion: a review [J].
Hejazi, SR ;
Saghafian, S .
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2005, 43 (14) :2895-2929
[33]   Metrics-based approach to evaluate sustainable manufacturing performance at the production line and plant levels [J].
Huang, Aihua ;
Badurdeen, Fazleena .
JOURNAL OF CLEANER PRODUCTION, 2018, 192 :462-476
[34]   Technological Elements of Circular Economy and the Principles of 6R-Based Closed-loop Material Flow in Sustainable Manufacturing [J].
Jawahir, I. S. ;
Bradley, Ryan .
13TH GLOBAL CONFERENCE ON SUSTAINABLE MANUFACTURING - DECOUPLING GROWTH FROM RESOURCE USE, 2016, 40 :103-108
[35]  
Jawahir I.S., 2015, Innovation in sustainable manufacturing education
[36]   Sustainable manufacturing: Modeling and optimization challenges at the product, process and system levels [J].
Jayal, A. D. ;
Badurdeen, F. ;
Dillon, O. W., Jr. ;
Jawahir, I. S. .
CIRP JOURNAL OF MANUFACTURING SCIENCE AND TECHNOLOGY, 2010, 2 (03) :144-152
[37]   Cannibals with forks: The triple bottom line of 21st century business [J].
Jeurissen, R .
JOURNAL OF BUSINESS ETHICS, 2000, 23 (02) :229-231
[38]   MINIMIZING VARIATION OF FLOW TIME IN SINGLE-MACHINE SYSTEMS [J].
KANET, JJ .
MANAGEMENT SCIENCE, 1981, 27 (12) :1453-1459
[39]   COMPLETION-TIME VARIANCE MINIMIZATION ON A SINGLE-MACHINE IS DIFFICULT [J].
KUBIAK, W .
OPERATIONS RESEARCH LETTERS, 1993, 14 (01) :49-59
[40]   Variability of completion time differences in permutation flow shop scheduling [J].
Leisten, Rainer ;
Rajendran, Chandrasekharan .
COMPUTERS & OPERATIONS RESEARCH, 2015, 54 :155-167