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Journal of Applied Sciences

Year: 2005 | Volume: 5 | Issue: 6 | Page No.: 978-982
DOI: 10.3923/jas.2005.978.982
Mathematical Inventory Model with Decay Item under Two Levels of Trade Credit
Chaang-Yung Kung and Yung-Fu Huang

Abstract: The present study extends the Huang’s model by considering decay item under two levels of trade credit. At first, we model the retailer’s inventory system as a cost minimization problem. Then, we prove the convexity of the retailer’s inventory system developed in this study. Finally, a theorem is developed to determine the retailer’s optimal replenishment cycle time efficiently.

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How to cite this article
Chaang-Yung Kung and Yung-Fu Huang, 2005. Mathematical Inventory Model with Decay Item under Two Levels of Trade Credit. Journal of Applied Sciences, 5: 978-982.

Keywords: EOQ, inventory, two levels of trade credit and decay item

INTRODUCTION

In the traditional Economic Order Quantity (EOQ) model, it was tacitly assumed that the buyer must pay for the items purchased as soon as the items are received. However, in practice, the supplier frequently offers its retailer the trade credit (or permissible delay in payments) to attract retailer who considers it to be a type of price reduction.

Goyal[1] derived an EOQ model under the conditions of permissible delay in payments. But he implicitly assumed only one level of trade credit. That is, the supplier offers its retailer the trade credit but the retailer does not offer its customer the trade credit. Recently, Huang[2] modified this assumption to two levels of trade credit. That is, not only the supplier offers its retailer the trade credit but also the retailer offers its customer the trade credit. But the decay item was ignored in their models. However, many studies related to the inventory considered the decay item under the trade credit could be found[3-7].

Therefore, this study extend the Huang’s model[2] by considering decay item under two levels of trade credit. Then we model the retailer’s inventory system as a cost minimization problem to determine the retailer’s optimal replenishment cycle time.

MATHEMATICAL FORMULATION

The following most assumptions and notation are similar to those in Huang’s model[2].

Assumptions

Demand rate, D, is known and constant.
Shortages are not allowed.
Time period is infinite.
Replenishment is instantaneous.
There is no repair or replacement of the deteriorated inventory during a given cycle.
The constant fraction θ of on hand inventory gets deteriorated per time unit.
Ik≥Ie, M≥N.
When T≥M, the account is settled at T=M and the retailer starts paying for the interest charges on the items in stock with rate Ik. When T≤M, the account is settled at T=M and the retailer does not need to pay any interest charge.
The retailer can accumulate revenue and earn interest after its customer pays for the amount of purchasing cost to the retailer until the end of the trade credit period offered by the supplier. That is, the retailer can accumulate revenue and earn interest during the period N to M with rate Ie under the condition of trade credit.

Notation

D = Demand rate per year
A = Ordering cost per order
c = Unit purchasing price per item
h = Unit stock holding cost per item per year excluding interest charges
Ie = Interest earned per $ per year
Ik = Interest charged per $ in stocks per year by the supplier
θ = Fraction of units that deteriorate per time unit
M = The retailer’s trade credit period offered by supplier in years
N = The customer’s trade credit period offered by retailer in years
Q = The order quantity
T = The cycle time in years
TVC(T) = The annual total variable cost, which is a function of T
T* = The optimal replenishment cycle time which minimizes TVC(T) when T>0.

Let Q(t) denote the on-hand inventory level at time t, which is depleted by the effects of demand and deterioration, then the differential equation which describes the instantaneous states of Q(t) over (0,T) is given as:

then, with boundary condition Q(T) = 0. The solution of above equation is given by

Noting that Q(0) = Q, the quantity ordered each replenishment cycle is

Furthermore, the total variable cost function per cycle consists of the ordering cost, inventory holding cost, cost of deteriorated units and capital opportunity cost. From now on, the individual cost is evaluated before they are grouped together.

Annual ordering cost

Annual inventory holding cost (excluding the capital opportunity cost)

Annual cost of deteriorated units

From assumptions (8) and (9), there are three cases to discuss annual capital opportunity cost.

Case T≥M: The annual capital opportunity cost

Case N≤T<M: The annual capital opportunity cost

Case T<N: The annual capital opportunity cost

According to the above arguments, we have

(1)

where:

(2)

(3)

and

(4)

Since TVC1(M) = TVC2(M) and TVC2(N) = TVC3(N), TVC(T) is continuous and well defined.

THE CONVEXITY

Here, we shall show that three inventory functions described as above section are convex on their appropriate domains.

Theorem 1

TVC1(T) is convex on [M, ∞).
TVC2(T) is convex on (0, ∞).
TVC3(T) is convex on (0, ∞).
TVC(T) is convex on (0, ∞).

Before proving Theorem 1, we need the following lemma.

Lemma 1

Proof

The proof of Theorem 1

(1) Form Eq. 2 yields

(5)

and

(6)

Lemma 1 imply that if T≥M. Therefore, TVC1(T) is convex on [M, ∞). (2) and (3) Eq. 3 and 4 yield

(7)

(8)

(9)

and

(10)

Therefore, TVC2(T) and TVC3(T) is convex on (0, ∞), respectively.

(4) Case (1) implies that TVC’1(T) is increasing on [M,∞). Cases (2) and (3) implies that TVC’2(T) and TVC’3(T) is increasing on (0,M]. Since TVC’1(M) = TVC’2(M) and TVC’2(N) = TVC’3(N), then TVC’(T) is increasing on T>0. Consequently TVC(C) is convex on T>0. Combining the above arguments, we have completed the proof.

DETERMINATION OF THE OPTIMAL REPLENISHMENT CYCLE TIME T*

Consider the following equations:

(11)

(12)

and

(13)

If the root of Eq. 11, 12 or 13 exists, then it is unique. For convenience, let Ti* (i = 1, 2, 3) denote the root of Eq. 11, 12 and 13, respectively. By the convexity of TVCi(T) (i = 1,2,3), we see

(14)

(15)

and

(16)

Although (T) = ∞, we can not make sure that whether (T) is less than 0, therefore, one of the following results will be occurred. One is that if TVC’1(M)≤0, then T1* exists and T1*≥M, the other is that if TVC’1(M)>0, then the convexity of TVC’1(T) on [M, ∞) implies that TVC’1(T) is increasing on [M, ∞). On the other hand, it is needless to say that Eq. 15a-c and 16a-c implies that TVCi(T) is decreasing on (0,Ti*] and increasing on [Ti*,∞) for i = 2,3. In addition, (T) = - ∞ and (T) = ∞ the Intermediate Value Theorem[8] implies that T2* and T3* are exist. From Eq. 5, 7 and 9 yield that

(17)

and

(18)

For convenience, we define

(19)

and

(20)

Since TVC2(T) is convex on T>0 which implies that TVC’2(T) is increasing on T>0, so we have Δ1 = TVC’2(M) >TVC’2(N) = Δ2.

Then, we have the following results:

Theorem 2

1. If Δ1≤0, then TVC(T*) = TVC1(T1*). Hence T* is T1*.
2. If Δ2≥0, then TVC(T*) = TVC3(T3*). Hence T* is T3*.
3. If Δ1>0 and Δ2<0 , then TVC(T*) = TVC2(T2*). Hence T* is T2*.

Proof

1. If Δ1≤0, then Δ2<0 which implies that TVC’1(M) = TVC’2(M)≤0 and TVC’2(N) = TVC’3(N)<0. Equation 14a-c-16a-c imply that

(i)
TVC1(T) is decreasing on [M, T1*] and increasing on [T1*, ∞).
(ii)
TVC2(T) is decreasing on [N,M).
(iii)
TVC3(T) is decreasing on (0,N).

Combining (i), (ii) and (iii), we conclude that TVC(T) has the minimum value at T = T1* on (0, ∞). Hence, we conclude that TVC(T*)= TVC1 (T1*). Consequently, T* is T1*.

2. If Δ2≥0, then Δ1>0 which implies that TVC’1(M) = TVC’2(M)>0 and TVC’2(N) = TVC’3(N)≥0. Equation 14a-c-16a-c imply that

(i) TVC1(T) is increasing on [M,∞).
(ii) TVC2(T) is increasing on [N,M).
(iii) TVC3(T) is decreasing on (0, T3*] and increasing on [T3*, N).

Combining (i), (ii) and (iii), we conclude that TVC(T) has the minimum value at T =T3* on (0, ∞). Hence, we conclude that TVC(T*) = TVC3 (T3*). Consequently, T* is T3*.

3. If Δ1>0 and Δ2<0 which implies that TVC’1(M) = TVC’2(M)>0 and TVC’2(N) = TVC’3(N)<0. Equation 14a-c-16a-c imply that

(i) TVC1(T) is increasing on [M,∞).
(ii) TVC2(T) is decreasing on [N,T2*] and increasing on [T2*, M).
(iii) TVC3(T) is decreasing on (0,N).

Combining (i), (ii) and (iii), we conclude that TVC(T) has the minimum value at T = T2* on (0,∞). Hence, we conclude that TVC(T*) = TVC2(T2*). Consequently, T* is T2*.

Combining the above arguments, we have completed the proof.

CONCLUSIONS

This study modifies Huang’s model[2] by considering decay item to find the retailer’s optimal replenishment cycle time under two levels of trade credit. In addition, we develop an easy-to-use procedure to find the optimal replenishment cycle time for the retailer. This procedure is the main contribution of this study.

ACKNOWLEDGMENTS

This study is partly supported by NSC Taiwan, project No. NSC 93-2213-E-324-025 and we also would like to thank the CYUT to finance this study.

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