The Economic Order Quantity in a Fuzzy Environment for a Periodic Inventory Model with Variable Demand
The technique of limiting expenditure plays a critical part in an organization's ability to govern the smooth operation of its management system. The economic order quantity (EOQ) is calculated by solving a nonlinear problem, and the best solution is investigated in a fuzzy and intuitionistic f...
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Veröffentlicht in: | Iraqi Journal for Computer Science and Mathematics 2022, Vol.3 (1), p.102-107 |
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Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
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Online-Zugang: | Volltext |
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Zusammenfassung: | The technique of limiting expenditure plays a critical part in an organization's ability to govern the smooth operation of its management system. The economic order quantity (EOQ) is calculated by solving a nonlinear problem, and the best solution is investigated in a fuzzy and intuitionistic fuzzy environment. The overall cost is made up of several factors, such as demand, holding, and ordering costs. The demand and stock-out characteristics were both fuzzified using fuzzy and intuitionistic fuzzy numbers. The numerical analysis shows the comparison between the two fuzzy numbers through sensitivity analysis. |
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ISSN: | 2788-7421 2958-0544 2788-7421 |
DOI: | 10.52866/ijcsm.2022.01.01.011 |