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Dairy farmer-labor scheduling model with skills of workers and cows' ability to produce milk Mauluddin, Yusuf; Rosmawati, Rosmawati; Silcilia, Putri
Journal Industrial Servicess Vol 12, No 1 (2026): April 2026
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/jiss.v12i1.29157

Abstract

This study develops a Multi-Skill Workforce Scheduling (MSWS) models for dairy farms that accounts for worker skills and cow lactation capacity to maximize milk yield. Using Integer Linear Programming (ILP), two models were proposed: Model 1 with work shifts and Model 2 without shifts. While the shift-based model was limited by excessive computational time, the non-shift model effectively solved real-world scheduling problems. The results revealed a distinctive pattern: highly skilled workers were prioritized for broader scheduling opportunities, whereas less-skilled workers were assigned to cows with higher lactation levels. These findings highlight the potential of ILP-based MSWS to optimize labor allocation in dairy farming.