Szczegóły publikacji
Opis bibliograficzny
Task-location assignment problem in planning horizon / Klaudia KRAWIEC, Roger KSIĄŻEK, Aleksander Woźniak, Weronika ŁYSZCZAN // Decision Making in Manufacturing and Services ; ISSN 1896-8325 . — 2026 — vol. 20 no. 1, s. 5–21. — Bibliogr. s. 19-21, Abstr. — Publikacja dostępna online od: 2026-08-14
Autorzy (4)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 169988 |
|---|---|
| Data dodania do BaDAP | 2026-10-01 |
| Tekst źródłowy | URL |
| DOI | 10.7494/dmms.2026.20.1.8153 |
| Rok publikacji | 2026 |
| Typ publikacji | artykuł w czasopiśmie |
| Otwarty dostęp |  |
| Creative Commons | |
| Czasopismo/seria | Decision Making in Manufacturing and Services |
Abstract
Efficient task allocation in production environments is essential for optimizing resource utilization and minimizing operating costs. This paper proposes a Mixed-Integer Linear Programming (MILP) model for the Task-Location Assignment Problem in Planning Horizon, with the objective of minimizing total operating costs. Additionally, two heuristic algorithms – a greedy scheduling algorithm and a priority-based scheduling algorithm – were developed to generate feasible solutions quickly. Computational experiments were conducted using real-world production process data across various scenarios. The results indicate that the proposed MILP model achieves an average cost reduction of approximately 11% compared to the greedy scheduling algorithm and about 6% compared to the priority-based scheduling algorithm. The results demonstrate the practical value of mathematical optimization in reducing internal production supply costs while supporting the efficient allocation of production tasks to available locations.
