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International Journal of Neutrosophic Science
Volume 16 , Issue 1, PP: 42-48 , 2021 | Cite this article as | XML | Html |PDF

Title

The static model of inventory management without a deficit with Neutrosophic logic

Authors Names :   Maissam Jdid   1 *     Rafif Alhabib   2     A. A. Salama   3  

1  Affiliation :  Faculty of Informatics Engineering, Al-Sham Private University, Damascus, Syria

    Email :  m.j.foit@aspu.edu.sy


2  Affiliation :  Department of Mathematical Statistics, Faculty of Science, Albaath University, Homs, Syria

    Email :   rafif.alhabib85@gmail.com


3  Affiliation :  Department of Mathematics and Computer Science, Faculty of Science, Port Said University, Port Said, Egypt

    Email :  drsalama44@gmail.com



Doi   :   https://doi.org/10.54216/IJNS.160104

Received: July 21, 2021 Accepted: November 03, 2021

Abstract :

In this paper, we present an expansion of one of the well-known classical inventory management models, which is the static model of inventory management without a deficit and for a single substance, based on the neutrosophic logic, where we provide through this study a basis for dealing with all data, whether specific or undefined in the field of inventory management, as it provides  safe environment to manage inventory without running into deficit , and give us an approximate ideal volume of inventory. Since the ideal size is affected by the rate of demand for inventory, we present in this paper a study of the rate of demand for inventory when it is not precisely defined, and we find that the  indeterminate values ​​of the demand rate cannot be ignored, because they actually affect determining the ideal size of inventory and calculating its costs, thus affecting on the efficiency of the facility and achieve great profits for it.

Keywords :

Inventory management , the static model of inventory management , the neutrosophic logic , managing the inventory without a deficit according to the neutrosophic logic.

References :

[1]    L. A. ZADEH. Fuzzy Sets. Inform. Control 8 (1965).

[2]    F. Smarandache. Introduction to Neutrosophic statistics, Sitech & Education Publishing, 2014.

[3]    Atanassov .k, Intuitionistic fuzzy sets. In V. Sgurev, ed., ITKRS Session, Sofia, June 1983, Central Sci. and Techn. Library, Bulg.  Academy of Sciences, 1984.

[4]    Smarandache, F, Neutrosophy and Neutrosophic Logic, First International Conference on Neutrosophy , Neutrosophic Logic, Set, Probability, and Statistics University of New Mexico, Gallup, NM 87301, USA,2002.

[5]    Smarandache, F. A Unifying Field in Logics: Neutrosophic Logic. Neutrosophy, Neutrosophic Set, Neutrosophic Probability. American Research Press, Rehoboth, NM, 1999.

[6]    Smarandache, F, Neutrosophic set a generalization of the intuitionistic fuzzy sets. Inter. J. Pure Appl. Math., 24, 287 – 297, 2005.

[7]    Salama, A. A, Smarandache, F, and Kroumov, V, Neutrosophic crisp Sets & Neutrosophic crisp Topological Spaces. Sets and Systems, 2(1), 25-30, 2014. 

[8]    Smarandache, F. & Pramanik, S. (Eds). (2016). New trends in neutrosophic theory and applications. Brussels: Pons Editions.

[9]    Alali. Ibrahim Muhammad, Operations Research. Tishreen University Publications, 2004. (Arabic version).

[10]  Alhabib.R, The Neutrosophic Time Series, the Study of Its Linear Model, and test Significance of Its Coefficients. Albaath University Journal, Vol.42, 2020. (Arabic version). 

[11]  Alhabib.R, Ranna.M, Farah.H and Salama, A. A, Neutrosophic Exponential Distribution. Albaath University Journal, Vol.40, 2018. (Arabic version). 

[12]  Alhabib.R, Ranna.M, Farah.H and Salama, A. A, studying the random variables according to Neutrosophic logic. Albaath- University Journal, Vol (39), 2017. (Arabic version).   

[13]  Alhabib.R, Ranna.M, Farah.H and Salama, A. A, Neutrosophic decision-making & neutrosophic decision tree. Albaath- University Journal, Vol (40), 2018. (Arabic version).  

[14]  Alhabib.R, Ranna.M, Farah.H and Salama, A. A, Studying the Hypergeometric probability distribution according to neutrosophic logic. Albaath- University Journal, Vol (40), 2018.(Arabic version). 

[15]  A. A. Salama, F. Smarandache Neutrosophic Crisp Set Theory, Educational. Education Publishing 1313 Chesapeake, Avenue, Columbus, Ohio 43212, (2015).

[16]  A.  A.  Salama and F. Smarandache. "Neutrosophic crisp probability theory & decision making   process." Critical Review: A Publication of Society for Mathematics of Uncertainty, vol. 12, p. 34-48, 2016.

[17]  R. Alhabib, M. Ranna, H. Farah and A. A Salama,  ''Foundation of Neutrosophic Crisp Probability Theory'', Neutrosophic  Operational Research, Volume III  , Edited by Florentin Smarandache,  Mohamed Abdel-Basset and Dr. Victor Chang (Editors), pp.49-60, 2017.

[18]  R. Alhabib, M. Ranna, H. Farah and A. A Salama.(2018). Some neutrosophic probability distributions. Neutrosophic Sets and Systems, 22, 30-38, 2018.

[19]  Aslam, M., Khan, N. and Khan, M.A. (2018). Monitoring the Variability in the Process Using the Neutrosophic Statistical Interval Method, Symmetry, 10 (11), 562.

[20]  Aslam, M., Khan, N. and AL-Marshadi, A. H. (2019). Design of Variable Sampling Plan for Pareto Distribution Using Neutrosophic Statistical Interval Method, Symmetry, 11 (1), 80.

[21]  Aslam, M. (2019). Control Chart for Variance using Repetitive Sampling under Neutrosophic Statistical Interval System,  IEEE Access, 7 (1), 25253-25262.

[22]Victor Christianto , Robert N. Boyd , Florentin Smarandache, Three possible applications of Neutrosophic Logic in Fundamental and Applied Sciences, International Journal of Neutrosophic Science,  Volume 1 , Issue 2, PP: 90-95 , 2020.

[23]  Madeleine Al- Tahan, Some Results on Single Valued Neutrosophic (Weak) Polygroups, International Journal of Neutrosophic Science,   Volume 2 , Issue 1, PP: 38-46 , 2020.

[24]  P. Singh and Y.-P. Huang. A New Hybrid Time Series Forecasting Model Based on the Neutrosophic Set

and Quantum Optimization. Computers in Industry (Elsevier), 111, 121–139, 2019.

[25]   R. Alhabib, A. A Salama, "Using Moving Averages To Pave The Neutrosophic Time Series'',       International Journal of Neutrosophic Science (IJNS), Volume III, Issue 1, PP: 14-20, 2020.

 


Cite this Article as :
Maissam Jdid , Rafif Alhabib , A. A. Salama, The static model of inventory management without a deficit with Neutrosophic logic, International Journal of Neutrosophic Science, Vol. 16 , No. 1 , (2021) : 42-48 (Doi   :  https://doi.org/10.54216/IJNS.160104)