Optimization of an EPQ Model in an Imprecise Environment with Defuzzification by the Centroid Method Under Inflation

• Autorzy: Ritu Arora , Anand Chauhan , Renu Sharma , Anubhav Pratap Singh
• Języki publikacji: EN

Abstrakty

EN

The awareness of making decisions in an imprecise environment has resulted in considering the inventory system under a fuzzy approach. The effects of uncertain demand have been finding increased application in many inventory systems. Uncertainty creates complicated situations for the manufacturer in making decisions. Markets have become more competitive as a result of technological advancements. The effect of inflation on the overall cost of the inventory system is useful in providing a tool for the analysis of inventory decisions. This study intended to estimate the effect of different fuzzy numbers on a manufacturer's annual joint expected total cost. The comparative study of this proposed model has been considered for two different fuzzy numbers with the defuzzification technique as the centroid method. The optimization technique has been used to minimize the producer's joint expected total cost under the condition mentioned earlier, and the model is validated numerically. (original abstract)

Słowa kluczowe

EN

Inventories; Inventory models; Inventory management; Uncertainty; Demand; Inflation; Economic order quantity; Literature review

PL

Zapasy; Modele zapasów; Zarządzanie zapasami; Niepewność; Popyt; Inflacja; Ekonomiczna wielkość zamówienia; Przegląd literatury

• Czasopismo: Operations Research and Decisions
• Rocznik: 2022
• Tom: 32
• Numer: nr 3
• Strony: 32--48

Twórcy

autor

Ritu Arora

• Department of Mathematics and Statistics, Gurukul Kangri, Haridwar, India

autor

Anand Chauhan

• Department of Mathematics, Graphic Era, Dehradun, India

autor

Renu Sharma

• Department of Mathematics and Statistics, Gurukul Kangri, Haridwar, India

autor

Anubhav Pratap Singh

• Department of Mathematics, S.G.R.R. (PG) College, Dehradun, India

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Identyfikatory

DOI

10.37190/ord220303