Abstract
Fuzzy and neutrosophic sets are two effective tools to deal with the ambiguities and uncertainties present in real-world problems. To deal with the uncertainties of a real-world scenario, a neutrosophic set is better equipped than a fuzzy set. In this article, we develop a neutrosophic economic order quantity (EOQ) inventory model with the assumption that the market demand is sensitive to the retail price and promotional effort. The supplier and retailer both adopt a partial trade credit policy. We include preservation technology to restrict normal deterioration. We analyse the crisp model first, and then, neutrosophic logic is implemented in the proposed model. De-neutrosophication of total neutrosophic profit is performed based on the removal area approach. The present investigation yields that the de-neutrosophic value of the profit function is convex, that is, a unique solution exists. Mathematical outcomes are generated to efficiently determine the optimal inventory policy for the retailer. To demonstrate numerically and validate the model, a case study is carried out. The findings in this work generalize several existing results, and sensitivity analysis is also reported to support the model.
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k.m., a.k.j., a.d., and a.p. conceived the presented idea. k.m., and a.d. developed the theory and performed the computations. k.m. and a.k.j. verified the analytical methods. k.m. contributed reagents/materials/analysis tools. k.m., a.k.j., a.d., and a.p wrote the paper.
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Appendices
A Proof of Theorem 3
Let \(D(({\widetilde{\Pi }}_{Neu})_{_{_{11}}}(\digamma ))=\frac{f(\digamma )}{g(\digamma )}\), where
Here, \(\dfrac{d^2f(\digamma )}{d \digamma ^2}<0\). Hence, \(f(\digamma )\) is a strictly concave function. Again \(g(\digamma )=\digamma \) is positive, differentiable and convex function of \(\digamma \) on \((0,~\infty )\). So, by the theorem 2, \(D(({\widetilde{\Pi }}_{Neu})_{_{_{11}}}(\digamma ))\) is a strictly pseudo-concave function of \(\digamma \) on \((0,~\infty )\).
B Proof of the Theorem 4
For any \(\digamma \), differentiating
\(D(({\widetilde{\Pi }}_{Neu})_{_{_{11}}}(c_{_S}))=\) \(D(({\widetilde{\Pi }}_{Neu})_{_{_{11}}}(\digamma ,c_{_S}))\)
with respect to \(c_{_S}\), we get
Let
So, \(\dfrac{d^2 D(({\widetilde{\Pi }}_{Neu})_{_{_{11}}}(\digamma ,c_{_S}))}{d c_{_S}^2}<0\),
if \(\Theta _{11}>c_{_S}e^V\dfrac{d^2 D(({\widetilde{X}}_{Neu}^{11})_{11})}{d c_{_S}^2}\).
C Proof of Theorem 6
Let
So, \(\dfrac{d^2 D(({\widetilde{\Pi }}_{Neu})_{_{_{12}}}(\digamma ,c_{_S}))}{d c_{_S}^2}<0\),
if \(\Theta _{12}>c_{_S}e^V\dfrac{d^2 D(({\widetilde{X}}_{Neu}^{11})_{12})}{d c_{_S}^2}\).
D Proof of Theorem 8
For any given \(c_{_S}\), to find the \(\digamma ^*_{13}\), taking the first-order derivative of \(D(({\widetilde{\Pi }}_{Neu})_{_{_{13}}}(\digamma ))=D(({\widetilde{\Pi }}_{Neu})_{_{_{13}}}(\digamma ,c_{_S}))\) with respect to \(\digamma \) and equate it to zero, we get
So, \(\dfrac{d^2 D(({\widetilde{\Pi }}_{Neu})_{_{_{13}}}(\digamma ,c_{_S}))}{d c_{_S}^2}<0\),
if \(\Theta _{13}>c_{_S}e^V\dfrac{d^2 D(({\widetilde{X}}_{Neu}^{11})_{13})}{d c_{_S}^2}\).
E Proof of Theorem 9.
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1.
$$\begin{aligned} \lim \limits _{\digamma \rightarrow 0}\Delta (\digamma )=\infty \end{aligned}$$(29)
If \(\Delta _{13}(U-V)<0\), then by intermediate value property (IVP) and theorem 7, there exists a unique \(\digamma ^*_{13}\in (0,~U-V)\) such that \(\Delta (\digamma ^*_{13})=0\). Hence, \(D(({\widetilde{\Pi }}_{Neu})_{_{_{13}}}\) \((\digamma ),c_{_S})\) is maximize at a unique \(\digamma ^*_{13}\). Now
$$\begin{aligned} \Delta _{13}(U-V)=\Delta _{12}(U-V). \end{aligned}$$So, if \(\Delta _{13}(U-V)<0\), then \(\Delta _{12}(U-V)<0\) and by the theorem 4, we get
$$\begin{aligned} \dfrac{d}{d\digamma }D(({\widetilde{\Pi }}_{Neu})_{_{_{12}}}(\digamma ,c_{_S}))<0,~~\forall ~\digamma \in [U-V,~U]. \end{aligned}$$So, for all \(\digamma \in [U-V,~U]\), \(D(({\widetilde{\Pi }}_{Neu})_{_{_{12}}}(\digamma ,c_{_S}))\) is decreasing and maximize at \(U-V\). Again,
$$\begin{aligned} \Delta _{12}(U)=\Delta _{11}(U). \end{aligned}$$Since \(\Delta _{12}(U)<0\), so \(\Delta _{11}(U)<0\) and by the theorem 3, we have
$$\begin{aligned} \dfrac{d}{d\digamma }D(({\widetilde{\Pi }}_{Neu})_{_{_{11}}}(\digamma ,c_{_S}))<0,~~\forall ~\digamma \in [U,~\infty ] . \end{aligned}$$So, for all \(\digamma \in [U,~\infty ]\), \(D(({\widetilde{\Pi }}_{Neu})_{_{_{11}}}(\digamma ,c_{_S}))\) is decreasing and maximize at U. So if \(\Delta _{13}(U-V)<0\), then
$$\begin{aligned} \begin{aligned} D(({\widetilde{\Pi }}_{Neu})_{_{_{13}}}(\digamma ^*_{13},c_{_S})&\ge D(({\widetilde{\Pi }}_{Neu})_{_{_{13}}}(U-V,c_{_S})\\&=D(({\widetilde{\Pi }}_{Neu})_{_{_{12}}}(U-V,c_{_S})\\&>D(({\widetilde{\Pi }}_{Neu})_{_{_{12}}}(\digamma ,c_{_S})\\&\ge D(({\widetilde{\Pi }}_{Neu})_{_{_{12}}}(U,c_{_S}),\\&~~~~~~~~~~~~~~~~~~\forall ~\digamma \in [U-V,U]. \end{aligned} \end{aligned}$$Again,
$$\begin{aligned} \begin{aligned} D(({\widetilde{\Pi }}_{Neu})_{_{_{12}}}(U,c_{_S})&= D(({\widetilde{\Pi }}_{Neu})_{_{_{11}}}(U,c_{_S})\\&\ge D(({\widetilde{\Pi }}_{Neu})_{_{_{11}}}(\digamma ,c_{_S})~~\forall ~\digamma \in [U,\infty ]. \end{aligned} \end{aligned}$$Hence, the for \(U\le V\) and for any \(c_{_S}\), if \(\Delta _{13}(U-V)<0\), then \(D(({\widetilde{\Pi }}_{Neu})_{_{_{13}}}(\digamma ,c_{_S})\) is maximize at \(\digamma ^*_{13}\).
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2.
If \(\Delta _{13}(U-V)=0\), then from Eq. (29) and Theorem 7, we conclude that \(U-V\in (0,U-V]\) is the unique point such that \(\Delta _{13}(U-V)=0\). Hence, \( D(({\widetilde{\Pi }}_{Neu})_{_{_{13}}}(\digamma ,c_{_S})\) is maximized at \(U-V\). Again,
$$\begin{aligned} \Delta _{13}(U-V)=\Delta _{12}(U-V)=0. \end{aligned}$$From Theorem5, we have \(U-V\in [U-V,U]\) is the unique point such that
$$\begin{aligned} \dfrac{d}{d\digamma }D(({\widetilde{\Pi }}_{Neu})_{_{_{12}}}(U-V,c_{_S}))=0. \end{aligned}$$Hence, \(D(({\widetilde{\Pi }}_{Neu})_{_{_{12}}}(\digamma ,c_{_S})\) is maximized at \(U-V\). Further, we can write
$$\begin{aligned} \dfrac{d}{d\digamma }D(({\widetilde{\Pi }}_{Neu})_{_{_{12}}}(U-V,c_{_S}))<0,~~\forall ~\digamma \in (U-V,U]. \end{aligned}$$So,
$$\begin{aligned} \dfrac{d}{d\digamma }D(({\widetilde{\Pi }}_{Neu})_{_{_{12}}}(U,c_{_S}))=\dfrac{d}{d\digamma }D(({\widetilde{\Pi }}_{Neu})_{_{_{11}}}(U,c_{_S}))<0. \end{aligned}$$Hence, by Theorem 3, we have
$$\begin{aligned} \dfrac{d}{d\digamma }D(({\widetilde{\Pi }}_{Neu})_{_{_{11}}}(\digamma ,c_{_S}))<0~\forall ~\digamma \in [U,\infty ). \end{aligned}$$Thus, \(D(({\widetilde{\Pi }}_{Neu})_{_{_{11}}}(\digamma ,c_{_S})\) is strictly decreasing and maximize at U. Therefore,
$$\begin{aligned} \begin{aligned} D(({\widetilde{\Pi }}_{Neu})_{_{_{13}}}(U-V,c_{_S})&= D(({\widetilde{\Pi }}_{Neu})_{_{_{12}}}(U-V,c_{_S})\\&\ge D(({\widetilde{\Pi }}_{Neu})_{_{_{12}}}(U,c_{_S})\\&=D(({\widetilde{\Pi }}_{Neu})_{_{_{11}}}(U,c_{_S}). \end{aligned} \end{aligned}$$Hence, if \(\Delta _{13}(U-V)=0\), then for \(U\le V\) De-neutrosophic value of retailer optimal profit is maximized at \(U-V\).
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3.
If \(\Delta _{13}(U-V)>0\), then by Theorem 7 and Eq. (29), we can write
$$\begin{aligned} \dfrac{d}{d\digamma }D(({\widetilde{\Pi }}_{Neu})_{_{_{13}}}(\digamma ,c_{_S}))>0,~\forall ~\digamma \in (0,U-V]. \end{aligned}$$Hence, \(D(({\widetilde{\Pi }}_{Neu})_{_{_{13}}}(\digamma ,c_{_S}))\) is monotonically strictly increasing function and is maximized at \(U-V.\) Again,
$$\begin{aligned} \dfrac{d}{d\digamma }D(({\widetilde{\Pi }}_{Neu})_{_{_{13}}}(U-V,c_{_S})) \end{aligned}$$$$\begin{aligned} =\dfrac{d}{d\digamma }D(({\widetilde{\Pi }}_{Neu})_{_{_{12}}}(U-V,c_{_S}))>0. \end{aligned}$$Now
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(a)
if \(\Delta _{12}(U)<0\), then by Theorem 4, there exits a unique point \(\digamma ^*_{12}\in (U-V,U)\) such that \(\Delta _{12}(\digamma ^*_{12})=0\). Hence, \(D(({\widetilde{\Pi }}_{Neu})_{_{_{12}}}(\digamma ,c_{_S}))\) is maximize at \(\digamma ^*_{12}\). Also,
$$\begin{aligned}{} & {} \dfrac{d}{d\digamma }D(({\widetilde{\Pi }}_{Neu})_{_{_{12}}}(U,c_{_S}))\\{} & {} \quad =\dfrac{d}{d\digamma }D(({\widetilde{\Pi }}_{Neu})_{_{_{11}}}(U,c_{_S}))<0. \end{aligned}$$By Theorem 3, we have
$$\begin{aligned} \dfrac{d}{d\digamma }D(({\widetilde{\Pi }}_{Neu})_{_{_{11}}}(\digamma ,c_{_S}))<0,~\forall ~\digamma \in [U,\infty ]. \end{aligned}$$Hence, \(D(({\widetilde{\Pi }}_{Neu})_{_{_{11}}}(\digamma ,c_{_S}))\) is strictly decreasing and is maximize at U. Now
$$\begin{aligned} \begin{aligned} D(({\widetilde{\Pi }}_{Neu})_{_{_{12}}}(\digamma ^*_{12},c_{_S}))&\ge D(({\widetilde{\Pi }}_{Neu})_{_{_{12}}}(U-V,c_{_S}))\\&=D(({\widetilde{\Pi }}_{Neu})_{_{_{13}}}(U-V,c_{_S})) \end{aligned} \end{aligned}$$(30)and
$$\begin{aligned} \begin{aligned} D(({\widetilde{\Pi }}_{Neu})_{_{_{12}}}(\digamma ^*_{12},c_{_S}))&\ge D(({\widetilde{\Pi }}_{Neu})_{_{_{12}}}(U,c_{_S}))\\&=D(({\widetilde{\Pi }}_{Neu})_{_{_{11}}}(U,c_{_S})). \end{aligned} \end{aligned}$$(31)Thus, from Eq.(30) and Eq.(31), we conclude that De-neutrosophic value of retailer optimal profit is maximized at \(\digamma ^*_{12}\).
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(b)
The proof is similar to 3a.
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(c)
The proof is similar to 3a.
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(a)
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Mohanta, K., Jha, A.K., Dey, A. et al. An application of neutrosophic logic on an inventory model with two-level partial trade credit policy for time-dependent perishable products. Soft Comput 27, 4795–4822 (2023). https://doi.org/10.1007/s00500-022-07619-2
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DOI: https://doi.org/10.1007/s00500-022-07619-2