Application of Linear Programming in Optimizing Labour Scheduling

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Journal of Mathematical Finance

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"Application of Linear Programming in Optimizing Labour Scheduling"
written by Osama Yaseen M. Al-Rawi, Taniya Mukherjee,
published by Journal of Mathematical Finance, Vol.9 No.3, 2019

has been cited by the following article(s):

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[1]	The spatial structure of labour force employment in China’s industries: Measurement and extraction Economic Analysis and Policy, 2023 DOI:10.1016/j.eap.2022.12.001

[2]	Adaptive control of resource flow to optimize construction work and cash flow via online deep reinforcement learning Automation in Construction, 2023 DOI:10.1016/j.autcon.2023.104817

[3]	Adaptive control of resource flow to optimize construction work and cash flow via online deep reinforcement learning Automation in Construction, 2023 DOI:10.1016/j.autcon.2023.104817

[4]	Adaptive control of resource flow to optimize construction work and cash flow via online deep reinforcement learning Automation in Construction, 2023 DOI:10.1016/j.autcon.2023.104817

[5]	Adaptive control of resource flow to optimize construction work and cash flow via online deep reinforcement learning Automation in Construction, 2023 DOI:10.1016/j.autcon.2023.104817

[6]	Adaptive control of resource flow to optimize construction work and cash flow via online deep reinforcement learning Automation in Construction, 2023 DOI:10.1016/j.autcon.2023.104817

[7]	A Practical Staff Scheduling Strategy Considering Various Types of Employment in the Construction Industry Algorithms, 2022 DOI:10.3390/a15090321

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[9]	A Practical Staff Scheduling Strategy Considering Various Types of Employment in the Construction Industry Algorithms, 2022 DOI:10.3390/a15090321

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[14]	A Review of Optimization Algorithms for University Timetable Scheduling Engineering, Technology & Applied Science Research, 2020 DOI:10.48084/etasr.3832

[15]	Optimal Alternatives by Controlling Time and Cost of a Multi-Level Car Park Using Excel-Solver Program Journal of Southwest Jiaotong University, 2019 DOI:10.35741/issn.0258-2724.54.6.45

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