EPQ Policies Considering the Holding Cost of Raw Materials with Two-Level Trade Credit under Alternate Due Date of Payment and Limited Storage Capacity ()

1. Introduction
[1] and [2] developed the Economic Order Quantity (EOQ) model and the Economic Production Quantity (EPQ) model for inventory management respectively. For convenience to mathematical analyses, the parameter ordering cost includes relevant costs during pre-production process, one of them is the holding cost of raw materials. A supply chain consists of all stages involved not only suppliers and manufacturers, but also transporters, warehouses, retailers and customers [3] . When suppliers provide raw materials would affect many factors, such as climate change, shipping delays, and more, these would increase the total relevant cost. Therefore, the price fluctuation of raw materials becomes an important issue. [4] first modified the EPQ model to consider the holding cost of raw materials more close the practice, latter, the research of raw materials has been found in many papers [5] [6] .
[7] established an EOQ model under the condition of permissible delay, [8] defined this situation as one-level trade credit. [9] and [10] generalized [7] to two-level of trade credit, provide a fixed trade credit period M between the supplier and the retailer, and a trade credit period N between the retailer and the customer. The different payment terms between [9] and [10] can be explained as follows:
1) [9] ’s payment terms, if a customer buys one item from the retailer at time
, then the customer will have a trade credit period
and make the payment at time N. Therefore, a retailer allows a maximal trade credit period N for customers to settle the account [8] [11] [12] [13] [14] [15] .
2) [10] ’s payment terms, if a customer buys one item from the retailer at time
, then the customer will have a trade credit period N and make the payment at time
. Therefore, a retailer allows a maximal trade credit period N for customers to settle the account [16] - [21] .
The trade credit stimulates retailer purchase more quantities, and the increasing demand would cause more storage capacity to store goods. [22] developed an EOQ model for two-warehouse to solve if owned warehouse (OW) is insufficient, then store in a rented warehouse (RW) [12] [21] - [26] .
[21] developed an EPQ model in [10] ’s payment terms (and called it an alternate due date of payment), finite replenishment rate and limited storage capacity together, but they did not consider the affected by raw materials and annual purchasing cost. Therefore, this paper further develop a new EPQ model, including the holding cost of raw materials and annual purchasing cost to determine the optimal inventory policies. This paper structure modified three stages of [9] and [10] from “supplier, retailer, and customer” to “supplier, manufacturer, and customer (retailer)”, and stand in a manufacturer’s position to calculate the annual total relevant cost (include ordering cost, purchasing costs, holding costs, interest payable and interest earned). We use cost-minimization strategy to develop four theorems to characterize the optimal solution, and take the sensitivity analysis to find out the critical impact factors of the total relevant cost and draw the conclusions. For business managers, the model more close practice and can be very easy to use to calculate the optimal cycle and the annual total relevant costs. The accurate information to make these decisions as an important basis for an investment plan.
2. Notations and Assumptions
2.1. Notations
Q: the order size
P: production rate
D: demand rate
A: ordering cost
T: the cycle time
Lmax: storage maximum
s: unit selling price per item
c: unit purchasing price per item
hm: unit holding cost per item for raw materials in raw materials warehouse
ho: unit holding cost per item for product in owned warehouse
hr: unit holding cost per item for product in rented warehouse
Ip: interest rate payable per $ unit time (year)
Ie: interest rate earned per $ unit time (year)
ts: time in years at which production stops
M: the manufacturer’s trade credit offered by the supplier
N: the customer’s trade credit period offered by the manufacturer
W: storage capacity of owned warehouse
twi: the point in time when the inventory level increases to W during the production period
twd: the point in time when the inventory level decreases to W during the production cease period
twd − twi: the time of rented warehouse
: the total relevant cost per unit time of model when
: the optimal solution of
2.2. Assumptions
1) Demand rate D is known and constant.
2) Production rate P is known and constant,
.
3) Shortages are not allowed.
4) A single item is considered.
5) Time period is infinite.
6)
,
and
.
7) The storage capacity of raw materials warehouse is unlimited.
8) If the order quantity is larger than manufacturer’s OW storage capacity, the manufacturer will rent and the RW storage capacity is unlimited. When the demand occurs, if first is replenished from the RW which storages those exceeding items. It takes first in last out (FILO).
9) During the time the account is not settled, generated sales revenue is deposited in and interest-bearing account.
a) When
, the account is settled at
, the manufacturer pays off all units sold and keeps his/her profits, and starts paying for the higher interest payable on the items in stock with rate
.
b) When
, the account is settled at
and the manufacturer does not need to pay any interest payable.
10) If a customer buys an item from the manufacturer at time
, then the customer will have a trade credit period N and make the payment at time
.
11) The manufacturer can accumulate revenue and earn interest after his/her customer pays for the amount of purchasing cost to the manufacturer until the end of the trade credit period offered by the supplier. That is, the manufacturer can accumulate revenue and earn interest during the period N to M with rate
under the condition of trade credit.
12) The manufacturer keeps the profit for the use of the other activities.
2.3. Model
The model structure have three stages of a supply chain system, this paper suppose that the supplier provide raw materials to the manufacturer to produce, the quantity of raw materials is expected to decrease in time (from time 0 to
). On the other hand, the quantity of products is expected to increase in time up to the maximum inventory level (from 0 to
), also sold on demand. After production stop (at time
), the products are only sold on demand until quantity reaches zero (at time T), as shown in Figure 1.
3. The Annual Total Relevant Cost
The annual total relevant cost consists of the following element.
As shown in Figure 1, the raw material inventory level can be described by the following formulas, and we set the time in years at which production stops
, the optimal order size Q and storage maximum
:
(1)
(2)
(3)
3.1. Annual Ordering Cost
Annual ordering cost
![]()
Figure 1. Raw materials and product inventory level.
(4)
3.2. Annual Purchasing Cost
Annual purchasing cost
(5)
3.3. Annual Holding Cost
Annual holding cost
1) As shown in Figure 1, annual holding cost of raw materials
(6)
2) Two cases occur in annual holding costs of owned warehouse.
a)
, as shown in Figure 2.
Annual holding cost in owned warehouse
(7)
b)
, as shown in Figure 3.
Annual holding cost in owned warehouse
(8)
3) Two cases occur in annual holding costs of rented warehouse.
a)
, as shown in Figure 2.
![]()
Figure 2. Annual holding cost when
.
![]()
Figure 3. Annual holding cost when
.
Annual holding cost in rented warehouse
(9)
b)
, as shown in Figure 3.
Annual holding cost in rented warehouse
(10)
3.4. Annual Interest Payable
Four cases to occur in costs of annual interest payable for the items kept in stock.
1)
.
Annual interest payable
(11)
2)
.
Annual interest payable
(12)
3)
, as shown in Figure 4
Annual interest payable
(13)
![]()
Figure 4. Annual interest payable when
.
4)
, as shown in Figure 5.
Annual interest payable
(14)
3.5. Annual Interest Earned
Three cases to occur in annual interest earned.
1)
, as shown in Figure 6.
Annual interest earned
(15)
2)
, as shown in Figure 7.
Annual interest earned
(16)
3)
, as shown in Figure 8.
Annual interest earned
(17)
3.6. The Annual Total Relevant Cost
From the above arguments, the annual total relevant cost for the manufacturer can be expressed as
= annual ordering cost + annual purchasing cost + annual holding cost + annual interest payable + annual interest earned.
Because storage capacity
, there are four cases arise:
1)
,
![]()
Figure 5. Annual interest payable when
.
![]()
Figure 6. Annual interest earned when
.
![]()
Figure 7. Annual interest earned when
.
![]()
Figure 8. Annual interest earned when
.
2)
,
3)
,
4)
.
Case 1
.
According to Equations (1)-(17), the annual total relevant cost
can be expressed by
where
(19)
(20)
(21)
(22)
(23)
Since
,
,
,
,
is continuous at T,
.
Case 2
.
According to Equations (1)-(17), the annual total relevant cost
can be expressed by
where
(25)
Since
,
,
,
,
is continuous at T,
.
Case 3
.
According to Equations (1)-(17), the annual total relevant cost
can be expressed b
where
(27)
Since
,
,
,
,
is continuous at T,
.
Case 4
.
According to Equations (1)-(17), the annual total relevant cost
can be expressed by
where
(29)
Since
,
,
,
,
is continuous at T,
.
In summary, all
are defined on
.
4. The Convexity of
Equations (19)-(23), (25), (27) and (29) yield the first order and second-order derivatives as follows.
(30)
(31)
(32)
(33)
(34)
(35)
(36)
(37)
(38)
(39)
(40)
(41)
(42)
(43)
(44)
and
(45)
Let
(46)
(47)
(48)
(49)
(50)
and
(51)
Equations (46)-(51) imply
(52)
and
(53)
Equations (30)-(45) reveal the following results.
Lemma 1
1)
is convex on
if
.
2)
is convex on
if
. Otherwise
is increasing on
for all
.
Solving
(54)
then
(55)
(56)
(57)
(58)
(59)
(60)
(61)
and
(62)
are the respective solutions of Equation (54). Furthermore, if
exists, then
is convex on
and
Equations (63a)-(63c) imply that
is decreasing on
and increasing on
for all
.
5. Numbers
Case 1
.
Equations (30), (32), (34), (36) and (38) yield
(64)
(65)
(66)
(67)
where
(68)
(69)
(70)
(71)
Equations (68)-(71) imply
(72)
Case 2
.
Equations (30), (34), (36), (38) and (40) yield
(73)
(74)
(75)
(76)
where
(77)
(78)
Equations (70), (71), (77) and (78) imply
(79)
Case 3
.
Equations (30), (36), (38), (40) and (42) yield
(80)
(81)
(82)
(83)
where
(84)
(85)
Equations (71), (77), (84 and (85) imply
(86)
Case 4
.
Equations (30), (38), (40), (42) and (44) yield
(87)
(88)
(89)
(90)
where
(91)
(92)
Equations (77), (84), (91) and (92) imply
(93)
Based on the above arguments, the following results hold.
Lemma 2
A) If
, then
(a1)
,
(a2)
exists,
(a3)
is convex on
.
B) If
, then
(b1)
and
,
(b2)
and
exist,
(b3)
and
are convex on
.
C) If
, then
(c1)
and
,
(c2)
and
exist,
(c3)
and
are convex on
.
D) If
, then
(d1)
and
,
(d2)
and
exist,
(d3)
and
are convex on
.
E) If
, then
(e1)
,
(e2)
exists,
(e3)
is convex on
.
F) If
, then
(f1)
and
,
(f2)
and
exist,
(f3)
and
are convex on
.
G) If
, then
(g1)
and
,
(g2)
and
exist,
(g3)
and
are convex on
.
H) If
, then
(h1)
and
,
(h2)
and
exist,
(h3)
and
are convex on
.
Proof. A) (a1) If
, then
(94)
Equation (94) implies
(95)
(a2) Equation (57) and Lemma 1 imply that
exists.
(a3) Equation (35) and Lemma 1 imply that
is convex on
.
B) (b1) If
, then
(96)
Equation (96) implies
(97)
Equations (52) and (97) demonstrate
.
(b2) Equations (57), (58) and Lemma 1 imply that
and
exist.
(b3) Equations (35), (37) and Lemma 1 imply that
and
is convex on
.
C) (c1) If
, then
(98)
Equation (98) implies
(99)
Equations (52) and (99) demonstrate
.
(c2) Equations (58), (59) and Lemma 1 imply that
and
exist.
(c3) Equations (37), (39) and Lemma 1 imply that
and
are convex on
.
D) (d1) If
, then
(100)
Equation (100) implies
(101)
Equations (52) and (101) demonstrate
.
(d2) Equations (59), (62) and Lemma 1 imply that
and
exist.
(d3) Equations (39), (45) and Lemma 1 imply that
and
are convex on
.
E) (e1) If
, then
(102)
Equation (102) implies
(103)
(e2) Equations (60) and Lemma 1 imply that
exists.
(e3) Equations (41) and Lemma 1 imply that
is convex on
.
F) (f1) If
, then
(104)
Equation (104) implies
(105)
Equations (53) and (105) demonstrate
.
(f2) Equations (60), (61) and Lemma 1 imply that
and
exist.
(f3) Equations (41), (43) and Lemma 1 imply that
and
are convex on
.
G) (g1) If
, then
(106)
Equation (106) implies
(107)
Equations (53) and (107) demonstrate
.
(g2) Equations (58), (61) and Lemma 1 imply that
and
exist.
(g3) Equations (37), (43) and Lemma 1 imply that
and
are convex on
.
H) (h1) If
, then
(108)
Equation (108) implies
(109)
Equations (53) and (109) demonstrate
.
(h2) Equations (61), (62) and Lemma 1 imply that
and
exist.
(h3) Equations (43), (45) and Lemma 1 imply that
and
are convex on
.
Incorporate the above arguments, we have completed the proof of Lemma 2. □
6. The Determination of the Optimal Cycle Time T* of TRC(T)
Theorem 1 Suppose
. Hence,
A) if
, then
and
.
B) if
, then
and
.
C) if
, then
and
.
D) if
, then
and
.
E) if
, then
and
.
Proof. A) If
, then
. So, Equations (63a)-(63c), lemma 1 and 2 imply
(a1)
is decreasing on
and increasing on
.
(a2)
is increasing on
.
(a3)
is increasing on
.
(a4)
is increasing on
.
(a5)
is increasing on
.
Since
is continuous on
, Equations (18a)-(18e) and (a1)-(a5) reveal that
is decreasing on
and increasing on
. Hence,
and
.
B) If
, then
. So, Equations (63a)-(63c), lemma 1 and 2 imply
(b1)
is decreasing on
.
(b2)
is decreasing on
and increasing on
.
(b3)
is increasing on
.
(b4)
is increasing on
.
(b5)
is increasing on
.
Since
is continuous on
, Equations (18a)-(18e) and (b1)-(b5) reveal that
is decreasing on
and increasing on
. Hence,
and
.
C) If
, then
. So, Equations (63a)-(63c), lemma 1 and 2 imply
(c1)
is decreasing on
.
(c2)
is decreasing on
.
(c3)
is decreasing on
and increasing on
.
(c4)
is increasing on
.
(c5)
is increasing on
.
Since
is continuous on
, Equations (18a)-(18c) and (c1)-(c5) reveal that
is decreasing on
and increasing on
. Hence,
and
.
D) If
, then
. So, Equations (63a)-(63c), lemma 1 and 2 imply
(d1)
is decreasing on
.
(d2)
is decreasing on
.
(d3)
is decreasing on
.
(d4)
is decreasing on
and increasing on
.
(d5)
is increasing on
.
Since
is continuous on
, Equations (18a)-(18e) and (d1)-(d5) reveal that
is decreasing on
and increasing on
. Hence,
and
.
E) If
, then
. So, Equations (63a)-(63c), lemma 1 and 2 imply
(e1)
is decreasing on
.
(e2)
is decreasing on
.
(e3)
is decreasing on
.
(e4)
is decreasing on
.
(e5)
is decreasing on
and increasing on
.
Since
is continuous on
, Equations (18a)-(18e) and (d1)-(d5) reveal that
is decreasing on
and increasing on
. Hence,
and
.
Incorporating all the above arguments, we have completed the proof of Theorem 1. □
Applying Lemmas 1, 2 and Equations (24a)-(24e), the following results hold.
Theorem 2 Suppose
. Hence,
A) if
, then
and
.
B) if
, then
and
.
C) if
, then
and
.
D) if
, then
and
.
E) if
, then
and
.
Applying Lemmas 1, 2 and Equations (26a)-(26e), the following results hold.
Theorem 3 Suppose
. Hence,
A) if
, then
and
.
B) if
, then
and
.
C) if
, then
and
.
D) if
, then
and
.
E) if
, then
and
.
Applying Lemmas 1, 2 and Equations(28a)-(28e), the following results hold.
Theorem 4 Suppose
. Hence,
![]()
Figure 9. The sensitivity analysis for
of this paper.
![]()
Figure 10. The sensitivity analysis for
of [21] .
A) if
, then
and
.
B) if
, then
and
.
C) if
, then
and
.
D) if
, then
and
.
E) if
, then
and
.
7. The Sensitivity Analysis
We execute the sensitivity analysis by Maple 18.00 to find out the unique solution
when
.
![]()
Figure 11. The sensitivity analysis for
of this paper.
![]()
Figure 12. The sensitivity analysis for
of [21] .
![]()
Table 1. Comparison of relative parameters impact to
and
in the sensitivity analyses.
Given the parameters
,
,
,
,
,
,
,
,
,
,
,
,
.
We increase/decrease 25% and 50% of parameters at the same time to execute the sensitivity analysis. Based on the computational results and compare with [21] as shown in Figures 9-12, we can get the following results on Table 1.
8. Conclusions
EPQ models are being widely used as a decision making tool in practice. Nearly a hundred years, scholars have focused on the production process, but omitted the importance of raw materials during the pre-production process. However, the related costs of raw materials will directly or indirectly affect the annual total relevant cost, thereby generating significant errors so that an overall consideration is needed.
Therefore, this paper presents a new inventory model applies raw materials in [10] ’s payment terms, finite replenishment rate and limited storage capacity. Consequently, [21] can be treated as a special case of this paper.