Two-Agent Single Machine Order Acceptance Scheduling Problem to Maximize Net Revenue | Zendy

Jiaji Li | Zendy; Yuvraj Gajpal | Zendy; Amit Kumar Bhardwaj | Zendy; Huangen Chen | Zendy; Yuanyuan Liu | Zendy

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Two-Agent Single Machine Order Acceptance Scheduling Problem to Maximize Net Revenue

Author(s) -

Jiaji Li,

Yuvraj Gajpal,

Amit Kumar Bhardwaj,

Huangen Chen,

Yuanyuan Liu

Publication year - 2021

Publication title -

complexity

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.447

H-Index - 61

eISSN - 1099-0526

pISSN - 1076-2787

DOI - 10.1155/2021/6627081

Subject(s) - mathematical optimization , computer science , particle swarm optimization , metaheuristic , benchmark (surveying) , job shop scheduling , scheduling (production processes) , heuristic , integer programming , mathematics , schedule , geodesy , geography , operating system

Department of Supply Chain Management, I.H. Asper School of Business, University of Manitoba, Winnipeg, MB R3T 5V4, Canada L.M*apar School of Management, *apar Institute of Engineering & Technology, Dera Bassi Campus, Patiala, Punjab, India School of Business Administration, Southwestern University of Finance and Economics, Chengdu, China School of International Business, Southwestern University of Finance and Economics, Chengdu, China

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