Flexible flow shop equipment utilization rate with time window constraints scheduling optimization problems

Han, Zhonghua; Sun, Yu; Xu, Chen; Dong, Xiaoting; Lv, Zhe

doi:10.1109/cyber.2016.7574874

2016 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER) 2016

DOI: 10.1109/cyber.2016.7574874

|View full text |Cite

Flexible flow shop equipment utilization rate with time window constraints scheduling optimization problems

Zhonghua Han

Yu Sun

Chen Xu

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2021

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

(1 citation statement)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Scheduling is to determine machining sequence of workpieces and allocate machines for processes [9]. Conventional optimization objectives of scheduling are to minimize makespan [10,38], tardiness [24], total work-in-process inventory [30] and maximize equipment utilization [15] etc. Recently some researchers have begun to optimize energy efficiency and carbon emission in manufacturing processes through scheduling.…”

mentioning

confidence: 99%

Integrated optimization of process planning and scheduling for reducing carbon emissions

Liu¹,

Jialiang²,

Dong³

et al. 2021

Journal of Industrial &Amp; Management Optimization

View full text Add to dashboard Cite

In order to reduce environment impacts of manufacturing processes and fill in research gaps that most previous separated optimization of process planning and scheduling ignored influences of process planning on scheduling, a multi-objective integrated optimization model of process planning and scheduling for reducing carbon emissions in manufacturing processes is proposed. The model aims at minimizing makespan and carbon emissions in manufacturing processes by integrated optimizing machining methods for all machining features of workpieces, machine allocations of processes, process routes and machining sequence of workpieces. Because there are many parameters in the proposed model needed to be optimized and they are interactional, a four segment encoding method is designed and a Non-dominated Sorting Genetic Algorithm II is adopted to solve the proposed model. A case study including three workpieces with twenty-three machining features to be processed by turning, milling, drilling, boring and grinding is used to verify the proposed integrated model and algorithm. Results show that the proposed integrated optimization method can further reduce carbon emissions and makespan in manufacturing processes compared with conventional separated optimization of process planning and scheduling. The proposed integrated optimization method is validated.

show abstract

mentioning

confidence: 99%

Integrated optimization of process planning and scheduling for reducing carbon emissions

Liu¹,

Jialiang²,

Dong³

et al. 2021

Journal of Industrial &Amp; Management Optimization

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Flexible flow shop equipment utilization rate with time window constraints scheduling optimization problems

Cited by 1 publication

References 11 publications

Integrated optimization of process planning and scheduling for reducing carbon emissions

Integrated optimization of process planning and scheduling for reducing carbon emissions

Contact Info

Product

Resources

About