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ISSN Online: 2333-9721 ISSN Print: 2333-9705

DOI: 10.4236/oalib.1105041 Dec. 20, 2018 1 Open Access Library Journal

EPQ Policies Considering the Holding Cost of

Raw Materials with Two-Level Trade Credit

under Alternate Due Date of Payment and

Limited Storage Capacity

Ghi-Feng Yen

1

, Shy-Der Lin

2

, An-Kuo Lee

1

1Department of Business Administration, Chung Yuan Christian University, Taiwan 2Department of Applied Mathematics, Chung Yuan Christian University, Taiwan

Abstract

The traditional Economic Production Quantity (EPQ) model focused on production process, used the ordering cost that includes relevant costs during the pre-production process. But, the ordering cost comprises the holding of raw materials that would affected by other factors would increase the total re-levant cost, it cannot simply use the ordering cost to cover all. Therefore, this paper presents a new inventory model by considering the holding of raw ma-terials under conditions of two-level trade credit under alternate due date of payment and limited storage capacity. According to cost-minimization strat-egy it develops four theorems to characterize the optimal solutions. Finally, it executes the sensitivity analysis and investigates the effects of the parameters in the annual total relevant costs.

Subject Areas

Industrial Engineering

Keywords

EPQ, Raw Materials, Alternate Due Date of Payment, Trade Credit, Limited Storage Capacity

1. Introduction

[1] and [2] developed the Economic Order Quantity (EOQ) model and the Eco-nomic Production Quantity (EPQ) model for inventory management respec-tively. For convenience to mathematical analyses, the parameter ordering cost

How to cite this paper: Yen, G.-F., Lin, S.-D. and Lee, A.-K. (2018) EPQ Policies Considering the Holding Cost of Raw Materials with Two-Level Trade Credit under Alternate Due Date of Payment and Limited Storage Capacity. Open Access Library Journal, 5: e5041.

https://doi.org/10.4236/oalib.1105041

Received: November 8, 2018 Accepted: December 17, 2018 Published: December 20, 2018

Copyright © 2018 by authors and Open Access Library Inc.

This work is licensed under the Creative Commons Attribution International License (CC BY 4.0).

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DOI: 10.4236/oalib.1105041 2 Open Access Library Journal includes relevant costs during pre-production process, one of them is the hold-ing 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 im-portant 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 sup-plier 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

[ ]

0,

tT , then the customer will have a trade credit period N t 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

[ ]

0,

tT , then the customer will have a trade credit period N and make the payment at time N t+ . Therefore, a retailer allows a maximal trade credit

pe-riod N for customers to settle the account [16]-[21].

The trade credit stimulates retailer purchase more quantities, and the increas-ing 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].

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DOI: 10.4236/oalib.1105041 3 Open Access Library Journal

2. Notations and Assumptions

2.1. Notations

Q: the order size

P: production rate

D: demand rate

A: ordering cost

T: the cycle time 1 D 0

P ρ = − >

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 pro-duction period

twd: the point in time when the inventory level decreases to W during the production cease period T W

D = −

twd− twi: the time of rented warehouse , if

0, if

DT W DT W DT W

P D D

DT W

ρ ρ ρ

ρ

− −

+ >

= −

( )

TRC T : the total relevant cost per unit time of model when T >0

T: the optimal solution of TRC T

( )

2.2. Assumptions

1) Demand rate D is known and constant.

2) Production rate P is known and constant, P D> . 3) Shortages are not allowed.

4) A single item is considered. 5) Time period is infinite.

6) hrhohm, M N≥ and s c≥ .

7) The storage capacity of raw materials warehouse is unlimited.

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de-DOI: 10.4236/oalib.1105041 4 Open Access Library Journal mand 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 depo-sited in and interest-bearing account.

a) When M T≤ , the account is settled at T M= , 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 Ip.

b) When T M≤ , the account is settled at T M= and the manufacturer does not need to pay any interest payable.

10) If a customer buys an item from the manufacturer at time t

[ ]

0,T , then the customer will have a trade credit period N and make the payment at time

N t+ .

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 Ie 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 sup-pose 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 ts). On the other hand, the quantity of products is expected to increase in time up to the maximum inventory level (from 0 to ts), also sold on demand. After production stop (at time ts), 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 ts, the optimal order size Q and storage maximum Lmax:

(

P D t D T t

)

s

(

s

)

=0,

.

s DT

t P

= (1)

0 , 0 .

0

s

Q P t T

t

= − ≤ ≤

. s

Q Pt= =DT (2)

(

)

max s .

L = P D t− × =DT

ρ

(3)

3.1. Annual Ordering Cost

(5)
[image:5.595.231.518.72.324.2]

DOI: 10.4236/oalib.1105041 5 Open Access Library Journal

Figure 1. Raw materials and product inventory level.

. A T

= (4)

3.2. Annual Purchasing Cost

Annual purchasing cost

1 .

cQ cD

T

= × = (5)

3.3. Annual Holding Cost

Annual holding cost

1) As shown in Figure 1, annual holding cost of raw materials

2

1 .

2 s 2 m

m Q t D Th

h

T P

×

= × × = (6)

2) Two cases occur in annual holding costs of owned warehouse. a) DTρ≤W, as shown in Figure 2.

Annual holding cost in owned warehouse

max 1 .

2 2o

o

T L DTh

h

T

ρ ×

= × × = (7)

b) DTρ>W, as shown in Figure 3. Annual holding cost in owned warehouse

(

)

1 2

.

2 2

d i o

o o

tw tw T W W h

h Wh

T DTρ

 − + 

 

= × × = − (8)

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[image:6.595.238.525.73.192.2]

DOI: 10.4236/oalib.1105041 6 Open Access Library Journal

[image:6.595.237.526.225.341.2]

Figure 2. Annual holding cost when DTρ≤W .

Figure 3. Annual holding cost when DTρ>W .

Annual holding cost in rented warehouse 0.

= (9)

b) DTρ>W, as shown in Figure 3. Annual holding cost in rented warehouse

(

) (

)

(

)

2

max 1 .

2 2

d i r

r

tw tw L W h DT W

h

T DT

ρ ρ

− × − −

= × × = (10)

3.4. Annual Interest Payable

Four cases to occur in costs of annual interest payable for the items kept in stock.

1) 0≤ <T M N.

Annual interest payable

0.

= (11)

2) M N T M− ≤ < .

Annual interest payable

0.

= (12)

3) M T PM

D

≤ < , as shown in Figure 4

Annual interest payable

(

)

(

)

(

)

2

1 .

2 2

p p

cI D T M

T M D T M

cI

T T

− × −

 

= × × =

(7)
[image:7.595.212.537.69.652.2]

DOI: 10.4236/oalib.1105041 7 Open Access Library Journal

Figure 4. Annual interest payable when M T PM

D

≤ < .

4) PM TD, as shown in Figure 5. Annual interest payable

(

)

(

2 2

)

1 .

2 2 2

p p

cI DT PM

M P D M

T DT cI

T T

ρ

ρ × − −

 × 

= × − × =

  (14)

3.5. Annual Interest Earned

Three cases to occur in annual interest earned. 1) 0≤ <T N, as shown in Figure 6.

Annual interest earned

(

)

(

)

(

)

1 2

2 2

. 2

e

e

T N N DT

sI M T N DT

T sI D M N T

 + − × 

  

= × + − + × ×

 

 

− −

=

(15)

2) N T M≤ < , as shown in Figure 7.

Annual interest earned

(

)

(

)

(

)

2

1 .

2 2

e e

M N D M N sI D M N

sI

T T

− × − −

 

= × × =

  (16)

3) M T< , as shown in Figure 8. Annual interest earned

(

)

(

)

(

)

2

1 .

2 2

e e

M N D M N sI D M N

sI

T T

− × − −

 

= × × =

  (17)

3.6. The Annual Total Relevant Cost

From the above arguments, the annual total relevant cost for the manufacturer can be expressed as TRC T

( )

= annual ordering cost + annual purchasing cost + annual holding cost + annual interest payable + annual interest earned.

Because storage capacity W DT= ρ, there are four cases arise:

1) W M N

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DOI: 10.4236/oalib.1105041 8 Open Access Library Journal

[image:8.595.222.536.73.408.2]

Figure 5. Annual interest payable when PM TD.

[image:8.595.224.537.419.552.2]

Figure 6. Annual interest earned when 0≤ <T N.

Figure 7. Annual interest earned when N T M≤ < .

[image:8.595.224.538.579.705.2]
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DOI: 10.4236/oalib.1105041 9 Open Access Library Journal

2) M N W M

Dρ

− ≤ < ,

3) M W PM

Dρ D ≤ < ,

4) PM W

DDρ .

Case 1 W M N

Dρ < − .

According to Equations (1)-(17), the annual total relevant cost TRC T

( )

can be expressed by

( )

( )

( )

( )

( )

( )

1 2 3 4 5

, if 0 (18a)

, if (18b)

, if (18c)

, if (18d)

, if (18e)

W

TRC T T

D W

TRC T T M N

D

TRC T TRC T M N T M

PM

TRC T M T

D PM

TRC T T

D

ρ

ρ

< <

 

≤ <

 

= − ≤ <

≤ <

 

 ≤



where

( )

2

(

)

1

2 2

,

2 2 2

e

m o sI D M N T

D Th DTh

A

TRC T cD

T P

ρ − −

= + + + − (19)

( )

(

)

(

)

2 2 2 2 2 2 2 2 , 2 2 m o o r e

D Th W h

A

TRC T cD Wh

T P DT

h DT W sI D M N T

DT ρ ρ ρ = + + + − − − − + − (20)

( )

(

)

(

)

2 2 3 2 2 2 2 , 2 2 m o o r e

D Th W h

A

TRC T cD Wh

T P DT

h DT W sI D M N

DT T ρ ρ ρ = + + + − − − + − (21)

( )

(

)

(

)

(

)

2 2 2 4 2 2

2 2 2

, 2 2 r m o o p e

h DT W

D Th W h

A

TRC T cD Wh

T P DT DT

cI D T M sI D M N

T T ρ ρ ρ − = + + + − + − − + − (22)

( )

(

)

(

)

(

)

2 2 2 5

2 2 2

2 2 2

. 2 2 r m o o p e

h DT W

D Th W h

A

TRC T cD Wh

T P DT DT

cI DT PM sI D M N

T T ρ ρ ρ ρ − = + + + − + − − + − (23)

Since TRC1 DW

ρ

TRC2 DW

ρ

 =  

   

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DOI: 10.4236/oalib.1105041 10 Open Access Library Journal

( )

( )

3 4

TRC M =TRC M , TRC4 PM TRC5 PM

D D

 =  

   

   , TRC T

( )

is continuous

at T, T

[

0,∞

)

.

Case 2 M N W M

Dρ

− ≤ < .

According to Equations (1)-(17), the annual total relevant cost TRC T

( )

can be expressed by

( )

( )

( )

( )

( )

( )

1 6 3 4 5

, if 0 (24a)

, if (24b)

, if (24c)

, if (24d)

, if (24e)

TRC T T M N

W

TRC T M N T

D PM

TRC T TRC T M T

D PM

TRC T M T

D PM

TRC T T

D

ρ

< < − 

 − ≤ <

 

= ≤ <

≤ <

 



where

( )

2

(

)

2

6 2 m 2o e 2 .

sI D M N D Th DTh

A

TRC T cD

T P T

ρ −

= + + + − (25)

Since TRC M N1

(

)

=TRC M N6

(

)

, TRC6 DW

ρ

TRC3 DW

ρ

 =  

   

   ,

( )

( )

3 4

TRC M =TRC M , TRC4 PM TRC5 PM

D D

 =  

   

   , TRC T

( )

is continuous

at T, T

[

0,∞

)

.

Case 3 M W PM

Dρ D ≤ < .

According to Equations (1)-(17), the annual total relevant cost TRC T

( )

can be expressed b

( )

( )

( )

( )

( )

( )

1 6 7 4 5

, if 0 (26a)

, if (26b)

, if (26c)

, if (26d)

, if (26e)

TRC T T M N

TRC T M N T M

W

TRC T M T

D TRC T

W PM

TRC T T

D D

PM

TRC T T

D

ρ

ρ

< < − 

− ≤ < 

 ≤ <

 = 

≤ <

   ≤  where

( )

2

(

)

2

(

)

2

7 2 m 2o p 2 e 2 .

cI D T M sI D M N

D Th DTh

A

TRC T cD

T P T T

ρ

− −

= + + + + − (27)

Since TRC M N1

(

)

=TRC M N6

(

)

, TRC M6

( )

=TRC M7

( )

,

7 W 4 W

TRC TRC

D

ρ

D

ρ

 =  

   

   , 4 5

PM PM

TRC TRC

D D

 =  

   

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DOI: 10.4236/oalib.1105041 11 Open Access Library Journal continuous at T, T

[

0,∞

)

.

Case 4 PM W

DDρ .

According to Equations (1)-(17), the annual total relevant cost TRC T

( )

can be expressed by

( )

( )

( )

( )

( )

( )

1 6 7 8 5

, if 0 (28a)

, if (28b)

, if (28c)

, if (28d)

, if (28e)

TRC T T M N

TRC T M N T M

PM

TRC T M T

D TRC T

PM W

TRC T T

D D

W

TRC T T

D

ρ

ρ

< < − 

− ≤ < 

 ≤ <

 = 

≤ <

    where

( )

(

)

(

)

2 8

2 2 2

2 2

.

2 2

m o

p e

D Th DTh

A

TRC T cD

T P

cI DT PM sI D M N

T T ρ ρ = + + + − + − (29)

Since TRC M N1

(

)

=TRC M N6

(

)

, TRC M6

( )

=TRC M7

( )

,

7 PM 8 PM

TRC TRC

D D

 =  

   

   , 8 5

W W

TRC TRC

D

ρ

D

ρ

 =  

   

   , TRC T

( )

is continuous at T, T

[

0,∞

)

.

In summary, all TRC T ii

( )(

=1 8

)

are defined on T >0.

4. The Convexity of

TRC T i

i

( )(

=

1 8

)

Equations (19)-(23), (25), (27) and (29) yield the first order and second-order derivatives as follows.

( )

1 A D D2 2 m o e ,

TRC T h h sI

P

T ρ

−  

′ = + + +

  (30)

( )

1 3

2A 0, TRC T

T

′′ = > (31)

( )

(

)

2 2 2 2 , 2 2 o r

m r e

W h h A

D D D

TRC T h h sI

P T ρ ρ − − +   ′ = + + +

  (32)

( )

(

)

2 2 3 2 0, r o

W h h A D TRC T T ρ − +

′′ = > (33)

( )

(

)

(

)

2 2 3 2 2 , 2 2 o r e m r

W h h

A sI D M N

D D D

TRC T h h

P T ρ ρ − − + + −   ′ = + +

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DOI: 10.4236/oalib.1105041 12 Open Access Library Journal

( )

(

)

(

)

2 2 3 3 2 , r o e

W h h

A sI D M N

D TRC T T ρ − + − −

′′ = (35)

( )

(

)

(

)

2 2 2 4 2 2 2 , 2 o r p e

m r p

W h h

A cI DM sI D M N

D TRC T

T

D D h h cI

P ρ ρ − − + − + − ′ =   + + +   (36)

( )

(

)

(

)

2 2 2 4 3 2 , r o p e

W h h

A cI DM sI D M N

D TRC T T ρ − + + − −

′′ = (37)

( )

(

)

(

)

(

)

(

)

2 2 2 5 2 2 2 , 2 o r p e

m r p

W h h

A cI P D M sI D M N

D TRC T

T

D D h h cI

P ρ ρ − − + + − + − ′ =   + + +   (38)

( )

(

)

(

)

(

)

2 2 2 5 3 2 , r o p e

W h h

A cI P D M sI D M N

D TRC T T ρ − + − − − −

′′ = (39)

( )

(

)

2

6 2 2 , 2 2 e m o

A sI D M N D D

TRC T h h

P

T ρ

− + −

′ = + +

  (40)

( )

(

)

2

6 3

2

, e

A sI D M N TRC T

T

− −

′′ = (41)

( )

2

(

)

2

7 2 2 , 2 2 p e

m o p

A cI DM sI D M N D D

TRC T h h cI

P

T ρ

− − + −

′ = + + +

  (42)

( )

2

(

)

2

7 3

2

,

p e

A cI DM sI D M N

TRC T

T

+ − −

′′ = (43)

( )

(

)

(

)

(

)

2 2 8 2 2 2 , 2 p e

m o p

A c P D M sI D M N

TRC T

T

D D h h cI

P ρ − + − + − ′ =   + + +   (44) and

( )

(

)

2

(

)

2

8 3

2

.

p e

A c P D M sI D M N

TRC T

T

− − − −

′′ = (45)

Let

(

)

(

)

2

2

3 2 r o e ,

W h h

G A sI D M N

D

ρ

= + − − (46)

(

)

(

)

2

2 2

4 2 r o p e ,

W h h

G A cI DM sI D M N

D

ρ

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DOI: 10.4236/oalib.1105041 13 Open Access Library Journal

(

)

(

)

(

)

2

2 2

5 2 r o p e ,

W h h

G A cI P D M sI D M N

D

ρ

= + − − − − (48)

(

)

2

6 2 e ,

G = A sI D M N− − (49)

(

)

2

2

7 2 p e ,

G = A cI DM+ −sI D M N− (50)

and

(

)

2

(

)

2

8 2 p e .

G = A c P D M− − −sI D M N− (51) Equations (46)-(51) imply

4 3 5 8,

G >G >G >G (52)

and

4 7 6 8.

G >G >G >G (53)

Equations (30)-(45) reveal the following results. Lemma 1

1) TRC Ti

( )

is convex on T >0 if i=1,2.

2) TRC Ti

( )

is convex on T >0 if Gi >0. Otherwise TRC Ti

( )

is in-creasing on T >0 for all i=3 8 .

Solving

( )

0, 1 8

i

TRC T′ = i=  (54) then

*

1 2 ,

m o e

A T

D

D h h sI

P ρ =  + +      (55)

(

)

2 * 2 2 , r o

m r e

W h h A

D T

D

D h h sI

P ρ ρ − + =  + +      (56)

(

)

(

)

2 2 * 3 3 2

, if 0,

r o

e

m r

W h h

A sI D M N

D

T G

D

D h h

P ρ ρ − + − − = >  +      (57)

(

)

(

)

2 2 2 * 4 4 2

, if 0,

r o

p e

m r p

W h h

A cI DM sI D M N

D

T G

D

D h h cI

P ρ ρ − + + − − = >  + +      (58)

(

)

(

)

(

)

(

)

2 2 2 * 5 5 2

, if 0,

r o

p e

m r p

W h h

A cI P D M sI D M N

D

T G

D

D h h cI

(14)

DOI: 10.4236/oalib.1105041 14 Open Access Library Journal

(

)

2

*

6 6

2

, if 0,

e

m o

A sI D M N

T G

D

D h h

P ρ − − = >  +      (60)

(

)

2

2 *

7 7

2

, if 0,

p e

m o p

A cI DM sI D M N

T G

D

D h h cI

P ρ + − − = >  + +      (61) and

(

)

(

)

(

)

2 2 * 8 8 2

, if 0,

p e

m o p

A cI P D M sI D M N

T G

D

D h h cI

P ρ − − − − = >  + +      (62)

are the respective solutions of Equation (54). Furthermore, if *

i

T exists, then

( )

i

TRC T is convex on T >0 and

( )

*

*

*

0 if 0 (63a)

0 if (63b)

0 if (63c)

i

i i

i T T

TRC T T T

T T

< < < 

′ = = =

> <



Equations (63a)-(63c) imply that TRC Ti

( )

is decreasing on

(

0,Ti* and

increasing on *,

)

i

T  ∞

 for all i=1 8 .

5. Numbers

ij

Case 1 W M N

Dρ < − .

Equations (30), (32), (34), (36) and (38) yield

12

1 2 2,

2

W W

TRC TRC

D D W

D ρ ρ ρ ∆     ′ = ′ =           (64)

(

)

(

)

(

23

)

2 3 2,

2

TRC M N TRC M N

M N

′ − = ′ − =

− (65)

( )

( )

34

3 4 2 2,

TRC M TRC M

M

′ = ′ = (66)

45

4 5 2,

2

PM PM

TRC TRC

D D PM

D ∆     ′ = ′ =           (67) where 2

12 2A D DWρ DPhm ρh sIo e ,

   

∆ = − +   + +

 

  (68)

(

)

(

)

2

2

23 2 o r m r e ,

W h h D

A D M N h h sI

D

ρ

P

ρ

∆ = − + + − + +

(15)

DOI: 10.4236/oalib.1105041 15 Open Access Library Journal

(

)

(

)

2

2 2

34 2 o r e m r ,

W h h D

A sI D M N DM h h

D

ρ

P

ρ

−  

∆ = − + + − + +

  (70)

(

)

(

)

2 2 2 45 2 2 . o r p e

m r p

W h h

A cI DM sI M N

D

PM D

D h h cI

D P ρ ρ − ∆ = − + − + −     +   + +     (71)

Equations (68)-(71) imply

12 23 34 45.

∆ < ∆ < ∆ < ∆ (72)

Case 2 M N W M

Dρ

− ≤ < .

Equations (30), (34), (36), (38) and (40) yield

(

)

(

)

(

16

)

1 6 2,

2

TRC M N TRC M N

M N

′ − = ′ − =

− (73)

63

6 3 2,

2

W W

TRC TRC

D D W

D ρ ρ ρ ∆     ′ = ′ =           (74)

( )

( )

34

3 4 2 2,

TRC M TRC M

M

′ = ′ = (75)

45

4 5 2 ,

2

PM PM

TRC TRC

D D PM

D ∆     ′ = ′ =           (76) where

(

)

2

16 2A D M NDPhm ρh sIo e,

∆ = − + − + +

  (77)

(

)

2 2

63 2A sI D M Ne D DWρ DPhm ρho .

   

∆ = − + − +   +

 

  (78)

Equations (70), (71), (77) and (78) imply

16 63 34 45.

∆ ≤ ∆ < ∆ < ∆ (79)

Case 3 M W PM

Dρ D ≤ < .

Equations (30), (36), (38), (40) and (42) yield

(

)

(

)

(

16

)

1 6 2,

2

TRC M N TRC M N

M N

′ − = ′ − =

− (80)

( )

( )

67

6 7 2 2,

TRC M TRC M

M

′ = ′ = (81)

74

7 4 2,

2

W W

TRC TRC

D D W

(16)

DOI: 10.4236/oalib.1105041 16 Open Access Library Journal 45

4 5 2,

2

PM PM

TRC TRC

D D PM

D

   

= ′ =

     

 

 

(83)

where

(

)

2 2

67 2A sI D M Ne DMDPhm ρho,

∆ = − + − + +

  (84)

(

)

2 2

2

74 2A cI DMp sI D M Ne D DWρ DPhm ρh cIo p .

   

∆ = − − + − +   + +

 

  (85)

Equations (71), (77), (84 and (85) imply

16 67 74 45.

∆ ≤ ∆ ≤ ∆ < ∆ (86)

Case 4 PM W

DDρ .

Equations (30), (38), (40), (42) and (44) yield

(

)

(

)

(

16

)

1 6 2,

2

TRC M N TRC M N

M N

′ − = ′ − =

− (87)

( )

( )

67

6 7 2 2,

TRC M TRC M

M

′ = ′ = (88)

78

7 8 2,

2

PM PM

TRC TRC

D D PM

D

   

= ′ =

     

 

 

(89)

45

8 5 2,

2

W W

TRC TRC

D D W

D

ρ ρ

ρ

   

= ′ =

     

   

(90)

where

(

)

2

2 78

2

2

,

p e

m o p

A cI DM sI D M N

PM D

D h h cI

D P ρ

∆ = − − + −

   

+   + +

   

(91)

(

)

(

)

(

)

2 2

85

2

2

.

p e

m o p

A cI P D M sI D M N

W D

D h h cI

Dρ P ρ

∆ = − + − + −

   

+   + +

 

 

(92)

Equations (77), (84), (91) and (92) imply

16 67 78 85.

∆ ≤ ∆ ≤ ∆ ≤ ∆ (93)

Based on the above arguments, the following results hold. Lemma 2

A) If ∆ ≤23 0, then

(a1) G3>0,

(a2) * 3

T exists,

(17)

DOI: 10.4236/oalib.1105041 17 Open Access Library Journal B) If ∆ ≤34 0, then

(b1) G3>0 and G4 >0,

(b2) * 3

T and * 4

T exist,

(b3) TRC T3

( )

and TRC T4

( )

are convex on T >0.

C) If ∆ ≤45 0, then

(c1) G4 >0 and G5 >0,

(c2) * 4

T and * 5

T exist,

(c3) TRC T4

( )

and TRC T5

( )

are convex on T >0.

D) If ∆ ≤85 0, then

(d1) G5 >0 and G8>0,

(d2) * 5

T and * 8

T exist,

(d3) TRC T5

( )

and TRC T8

( )

are convex on T >0.

E) If ∆ ≤16 0, then

(e1) G6 >0,

(e2) * 6

T exists,

(e3) TRC T6

( )

is convex on T >0.

F) If ∆ ≤67 0, then

(f1) G6 >0 and G7 >0,

(f2) * 6

T and * 7

T exist,

(f3) TRC T6

( )

and TRC T7

( )

are convex on T >0.

G) If ∆ ≤74 0, then

(g1) G4 >0 and G7 >0,

(g2)

T

4* and T7* exist,

(g3) TRC T4

( )

and TRC T7

( )

are convex on T >0.

H) If ∆ ≤78 0, then

(h1) G7 >0 and G8>0,

(h2) * 7

T and * 8

T exist,

(h3) TRC T7

( )

and TRC T8

( )

are convex on T >0.

Proof. A) (a1) If ∆ ≤23 0, then

(

)

(

)

2

2

2 o r .

m r e

W h h D

A D M N h h sI

D

ρ

P

ρ

≥ + − + +

  (94)

Equation (94) implies

(

)

2

3 D m r 0.

G D M N h h

P ρ

 

≥ − + >

  (95)

(a2) Equation (57) and Lemma 1 imply that * 3

T exists.

(a3) Equation (35) and Lemma 1 imply that TRC T3

( )

is convex on T >0.

B) (b1) If ∆ ≤34 0, then

(

)

(

)

2

2 2

2 o r .

e m r

W h h D

A sI D M N DM h h

D

ρ

P

ρ

≥ + − + +

  (96)

Equation (96) implies

2

3 D m r p 0.

G DM h h cI

P ρ

 

+ + >

(18)

DOI: 10.4236/oalib.1105041 18 Open Access Library Journal Equations (52) and (97) demonstrate G4>G3>0.

(b2) Equations (57), (58) and Lemma 1 imply that * 3

T and * 4

T exist. (b3) Equations (35), (37) and Lemma 1 imply that TRC T3

( )

and TRC T4

( )

is convex on T >0. C) (c1) If ∆ ≤45 0, then

(

)

(

)

2

2 2

2 2

.

o r

p e

m r p

W h h

A cI DM sI M N

D

PM D

D h h cI

D P

ρ

ρ

≥ − + −

   

+   + +

   

(98)

Equation (98) implies

(

)

2

5 PM D m r p 0.

G D h h cI

D P

ρ

   

  + + >

    (99)

Equations (52) and (99) demonstrate G4>G5>0.

(c2) Equations (58), (59) and Lemma 1 imply that * 4

T and * 5

T exist. (c3) Equations (37), (39) and Lemma 1 imply that TRC T4

( )

and TRC T5

( )

are convex on T >0. D) (d1) If ∆ ≤85 0, then

(

)

(

)

(

)

2 2

2

2

,

p e

m o p

A cI P D M sI D M N

W D

D h h cI

Dρ P ρ

≥ − + −

   

+   + +

 

 

(100)

Equation (100) implies

(

)

2

8 W D m o p 0.

G D h h cI

Dρ P ρ

   

  + + >

 

  (101)

Equations (52) and (101) demonstrate G5>G8>0.

(d2) Equations (59), (62) and Lemma 1 imply that * 5

T and * 8

T exist. (d3) Equations (39), (45) and Lemma 1 imply that TRC T5

( )

and TRC T8

( )

are convex on T >0. E) (e1) If ∆ ≤16 0, then

(

)

2

2A D M N Dhm h sIo e .

P ρ

 

≥ − + +

  (102)

Equation (102) implies

(

)

2

6 D m o 0.

G D M N h h

P ρ

 

≥ − + >

  (103)

(e2) Equations (60) and Lemma 1 imply that * 6

T exists.

(e3) Equations (41) and Lemma 1 imply that TRC T6

( )

is convex on T >0.

F) (f1) If ∆ ≤67 0, then

(

)

2

2 2

2A DM sI cIepsI DNe +DPMD   DPhm+

ρ

h cIo+ p.

(19)

DOI: 10.4236/oalib.1105041 19 Open Access Library Journal Equation (104) implies

2

7 PM D m o p 0.

G D h h cI

D P

ρ

   

  + + >

    (105)

Equations (53) and (105) demonstrate G7>G6>0.

(f2) Equations (60), (61) and Lemma 1 imply that * 6

T and * 7

T exist. (f3) Equations (41), (43) and Lemma 1 imply that TRC T6

( )

and TRC T7

( )

are convex on T >0. G) (g1) If ∆ ≤74 0, then

(

)

2 2

2

2A cI DMp sI D M Ne D DWρ DPhm ρh cIo p .

   

≥ − + − +   + +

 

  (106)

Equation (106) implies

(

)

2

2

4 r o m o p 0.

W h h W D

G D h h cI

Dρ Dρ P ρ

−    

≥ +   + + >

 

  (107)

Equations (53) and (107) demonstrate G4>G7 >0.

(g2) Equations (58), (61) and Lemma 1 imply that * 4

T and * 7

T exist. (g3) Equations (37), (43) and Lemma 1 imply that TRC T4

( )

and TRC T7

( )

are convex on T >0. H) (h1) If

∆ ≤

78

0

, then

(

)

2 2

2

2A≥ −cI DMp +sI D M Ne − +DPMD   DPhm+

ρ

h cIr+ p.

    (108)

Equation (108) implies

(

)

2

8 PM D m r p 0.

G D h h cI

D P

ρ

   

  + + >

    (109)

Equations (53) and (109) demonstrate G7>G8>0.

(h2) Equations (61), (62) and Lemma 1 imply that * 7

T and * 8

T exist. (h3) Equations (43), (45) and Lemma 1 imply that TRC T7

( )

and TRC T8

( )

are convex on T >0.

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 W M N

Dρ < − . Hence,

A) if 0< ∆12, then TRC T

( )

* =TRC T1

( )

1* and T*=T1*.

B) if ∆ ≤ < ∆12 0 23, then TRC T

( )

* =TRC T2

( )

2* and T* =T2*.

C) if ∆ ≤ < ∆23 0 34, then TRC T

( )

* =TRC T3

( )

3* and T*=T3*.

D) if ∆ ≤ < ∆34 0 45, then TRC T

( )

* =TRC T4

( )

4* and T* =T4*.

E) if ∆ ≤45 0, then TRC T

( )

* =TRC T5

( )

5* and T*=T5*.

Proof. A) If 0< ∆12, then 0< ∆ < ∆ < ∆ < ∆12 23 34 45. So, Equations (63a)-(63c),

lemma 1 and 2 imply

(a1) TRC T1

( )

is decreasing on

(

0,T1* and increasing on 1*,

W T

D

ρ

 

 

(20)

DOI: 10.4236/oalib.1105041 20 Open Access Library Journal (a2) TRC T2

( )

is increasing on DW M N

ρ

,

 

 .

(a3) TRC T3

( )

is increasing on

[

M N M− ,

]

.

(a4) TRC T4

( )

is increasing on M,PMD   .

(a5) TRC T5

( )

is increasing on PMD ,∞  .

Since TRC T

( )

is continuous on T >0, Equations (18a)-(18e) and (a1)-(a5) reveal that TRC T

( )

is decreasing on

(

*

1

0,T  and increasing on *

)

1, T  ∞  .

Hence, * *

1

T =T and

( )

*

( )

*

1 1

TRC T =TRC T .

B) If ∆ ≤ < ∆12 0 23, then ∆ ≤ < ∆ < ∆ < ∆12 0 23 34 45. So, Equations (63a)-(63c),

lemma 1 and 2 imply

(b1) TRC T1

( )

is decreasing on 0,DW

ρ

 

 

 .

(b2) TRC T2

( )

is decreasing on DW T

ρ

, 2*

 

 

  and increasing on

* 2, T M N

 − 

 .

(b3) TRC T3

( )

is increasing on

[

M N M− ,

]

.

(b4) TRC T4

( )

is increasing on M,PMD   .

(b5) TRC T5

( )

is increasing on PMD ,∞  .

Since TRC T

( )

is continuous on T >0, Equations (18a)-(18e) and (b1)-(b5) reveal that TRC T

( )

is decreasing on

(

*

2

0,T  and increasing on *

)

2, T  ∞  .

Hence, * *

2

T =T and

( )

*

( )

*

2 2

TRC T =TRC T .

C) If ∆ ≤ < ∆23 0 34, then ∆ < ∆ ≤ < ∆ < ∆12 23 0 34 45. So, Equations (63a)-(63c),

lemma 1 and 2 imply

(c1) TRC T1

( )

is decreasing on 0,

W D

ρ

 

 

 .

(c2) TRC T2

( )

is decreasing on DW M N

ρ

,

 

 .

(c3) TRC T3

( )

is decreasing on M N T− , 3* and increasing on T M3*, . (c4) TRC T4

( )

is increasing on M,PMD 

 .

(c5) TRC T5

( )

is increasing on PMD ,∞  .

Since TRC T

( )

is continuous on T >0, Equations (18a)-(18c) and (c1)-(c5) reveal that TRC T

( )

is decreasing on

(

*

3

0,T  and increasing on *

)

3, T  ∞  .

Hence, * *

3

T =T and

( )

*

( )

*

3 3

TRC T =TRC T .

D) If ∆ ≤ < ∆34 0 45, then ∆ < ∆ < ∆ ≤ < ∆12 23 34 0 45. So, Equations (63a)-(63c),

lemma 1 and 2 imply

(d1) TRC T1

( )

is decreasing on 0,

W D

ρ

 

 

(21)

DOI: 10.4236/oalib.1105041 21 Open Access Library Journal (d2) TRC T2

( )

is decreasing on DW M N

ρ

,

 

 .

(d3) TRC T3

( )

is decreasing on

[

M N M− ,

]

.

(d4) TRC T4

( )

is decreasing on M T, 4* and increasing on T4*,PMD .

(d5) TRC T5

( )

is increasing on PMD ,∞  .

Since TRC T

( )

is continuous on T >0, Equations (18a)-(18e) and (d1)-(d5) reveal that TRC T

( )

is decreasing on

(

*

4

0,T  and increasing on *

)

4, T  ∞

 . Hence,

* *

4

T =T and

( )

*

( )

*

4 4

TRC T =TRC T .

E) If ∆ ≤45 0, then ∆ < ∆ < ∆ < ∆ ≤12 23 34 45 0. So, Equations (63a)-(63c),

lemma 1 and 2 imply

(e1) TRC T1

( )

is decreasing on 0,DW

ρ

 

 

 .

(e2) TRC T2

( )

is decreasing on DW M N

ρ

,

 

 .

(e3) TRC T3

( )

is decreasing on

[

M N M− ,

]

.

(e4) TRC T4

( )

is decreasing on M T, 4*.

(e5) TRC T5

( )

is decreasing on PM TD , 5*

  and increasing on

)

* 5, T  ∞  .

Since TRC T

( )

is continuous on T >0, Equations (18a)-(18e) and (d1)-(d5) reveal that TRC T

( )

is decreasing on

(

*

5

0,T  and increasing on *

)

5, T  ∞  .

Hence, * *

5

T =T and

( )

*

( )

*

5 5

TRC T =TRC T .

Incorporating all the above arguments, we have completed the proof of Theo-rem 1. □

Applying Lemmas 1, 2 and Equations (24a)-(24e), the following results hold.

Theorem 2 Suppose M N W M

Dρ

− ≤ < . Hence,

A) if

0 <

16, then TRC T

( )

* =TRC T1

( )

1* and T*=T1*.

B) if

∆ ≤

16

0 <

63, then TRC T

( )

* =TRC T6

( )

6* and T* =T6*.

C) if

∆ ≤

63

0 <

34, then TRC T

( )

* =TRC T3

( )

3* and T* =T3*.

D) if

∆ ≤

34

0 <

45, then TRC T

( )

* =TRC T4

( )

4* and T*=T4*.

E) if

∆ ≤

45

0

, then TRC T

( )

* =TRC T5

( )

5* and T*=T5*.

Applying Lemmas 1, 2 and Equations (26a)-(26e), the following results hold.

Theorem 3 Suppose M W PM

Dρ D

≤ < . Hence,

A) if 0< ∆16, then TRC T

( )

* =TRC T1

( )

1* and T*=T1*.

B) if ∆ ≤ < ∆16 0 67, then TRC T

( )

* =TRC T6

( )

6* and T* =T6*.

C) if ∆ ≤ < ∆67 0 74, then TRC T

( )

* =TRC T7

( )

7* and T* =T7*.

D) if ∆ ≤ < ∆74 0 45, then TRC T

( )

* =TRC T4

( )

4* and T* =T4*.

E) if ∆ ≤45 0, then TRC T

( )

* =TRC T5

( )

5* and T*=T5*.

Applying Lemmas 1, 2 and Equations(28a)-(28e), the following results hold. Theorem 4 Suppose PM W

(22)
[image:22.595.55.550.63.297.2]

DOI: 10.4236/oalib.1105041 22 Open Access Library Journal

Figure 9. The sensitivity analysis for T* of this paper.

Figure 10. The sensitivity analysis for T* of [21].

A) if 0< ∆16, then TRC T

( )

* =TRC T1

( )

1* and T*=T1*.

B) if ∆ ≤ < ∆16 0 67, then TRC T

( )

* =TRC T6

( )

6* and T* =T6*.

C) if ∆ ≤ < ∆67 0 78, then TRC T

( )

* =TRC T7

( )

7* and T* =T7*.

D) if ∆ ≤ < ∆78 0 85, then TRC T

( )

* =TRC T8

( )

8* and T* =T8*.

E) if ∆ ≤85 0, then TRC T

( )

* =TRC T5

( )

5* and T*=T5*.

7. The Sensitivity Analysis

We execute the sensitivity analysis by Maple 18.00 to find out the unique solu-tion *

i

[image:22.595.58.539.327.552.2]
(23)
[image:23.595.60.538.64.297.2]

DOI: 10.4236/oalib.1105041 23 Open Access Library Journal

[image:23.595.58.540.337.553.2]

Figure 11. The sensitivity analysis for TRC T

( )

* of this paper.

Figure 12. The sensitivity analysis for TRC T

( )

* of [21].

Table 1. Comparison of relative parameters impact to T* and TRC T

( )

* in the sensitivity analyses.

2*Impact T*, Q* TRC(T)

This paper [21] This paper [21]

Positive & Major A A c A

Positive & Minor - - A, hm, ho, hr, Ip c, ho, hr, Ip

Negative & Minor s, hm, ho, hr, Ie s, ho, hr, Ie s, Ie s, Ie

[image:23.595.53.545.616.745.2]
(24)

DOI: 10.4236/oalib.1105041 24 Open Access Library Journal Given the parameters P=5000 units year, D=3500 units year,

$1200 order

A= , s=$30 unit, c=$10 unit, hm=$1 unit year, $3 unit year

o

h = , hr =$6 unit year, Ip =$0.3 year, Ie =$0.1 year, 100 days 100 365 year

M = = , N=50 days 50 365 year= , W =400 units. 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 considera-tion 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.

Conflicts of Interest

The authors declare no conflicts of interest regarding the publication of this pa-per.

References

[1] Harris, F.W. (1913) How Many Parts to Make at Once. Factory, the Magazine of Management, 10, 135-136.

[2] Taft, E.W. (1918) The Most Economical Production Lot. Iron Age, 101, 1410-1412. [3] Chopra, S. and Meindl, P. (2001) Supply Chain Management: Strategy, Planning,

and Operation. Pearson Prentice Hall, Upper Saddle River, NJ.

[4] Lin, S.D. (2010) The Optimal Inventory Policy of Production Management.

Across-Straits Academic Conference Proceedings in Management Theories and Practices, 213, 199-202.

[5] Su, S.M. and Lin, S.D. (2013) The Optimal Inventory Policy of Production Man-agement. Engineering, 5, 9-13. https://doi.org/10.4236/eng.2013.55A002

[6] Su, S.M., Lin, S.D. and Chang, L.F. (2014) The Optimal Inventory Policy for Reusa-ble Items with Random Planning Horizon Considering Present Value. Applied Ma-thematics, 5, 292-299. https://doi.org/10.4236/am.2014.52030

[7] Goyal, S.K. (1985) Economic Order Quantity under Conditions of Permissible De-lay in Payments. Journal of the Operational Research Society, 36, 335-338.

https://doi.org/10.1057/jors.1985.56

[8] Huang, Y.F. (2007) Optimal Retailer’s Replenishment Decisions in the EPQ Model under Two Levels of Trade Credit Policy. European Journal of Operational Re-search, 176, 1577-1591. https://doi.org/10.1016/j.ejor.2005.10.035

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[10] Teng, J.T. and Goyal, S.K. (2007) Optimal Ordering Policies for a Retailer in a Supply Chain with Up-Stream and Down-Stream Trade Credits. Journal of the Op-erational Research Society, 58, 1252-1255.

https://doi.org/10.1057/palgrave.jors.2602404

[11] Chung, K.J. (2011) The Simplified Solution Procedures for the Optimal Replenish-ment Decisions under Two Levels of Trade Credit Policy Depending on the Order Quantity in a Supply Chain System. Expert Systems with Applications, 38, 13482-13486. https://doi.org/10.1016/j.eswa.2011.04.094

[12] Chung, K.J. (2013) The EPQ Model under Conditions of Two Levels of Trade Cre-dit and Limited Storage Capacity in Supply Chain Management. International Journal of Systems Science, 44, 1675-1691.

https://doi.org/10.1080/00207721.2012.669864

[13] Huang, Y.F. (2006) An Inventory Model under Two Levels of Trade Credit and Li-mited Storage Space Derived without Derivatives. Applied Mathematical Modelling, 30, 418-436. https://doi.org/10.1016/j.apm.2005.05.009

[14] Kreng, V.B. and Tan, S.J. (2010) The Optimal Replenishment Decisions under Two Levels of Trade Credit Policy Depending on the Order Quantity. Expert Systems with Applications, 37, 5514-5522. https://doi.org/10.1016/j.eswa.2009.12.014

[15] Min, J., Zhou, Y.W. and Zhao, J. (2010) An Inventory Model for Deteriorating Items under Stock-Dependent Demand and Two-Level Trade Credit. Applied Ma-thematical Modelling, 34, 3273-3285. https://doi.org/10.1016/j.apm.2010.02.019

[16] Chen, L.H. and Kang, F.S. (2010) Integrated Inventory Models Considering the Two-Level Trade Credit Policy and a Price-Negotiation Scheme. European Journal of Operational Research, 205, 47-58. https://doi.org/10.1016/j.ejor.2009.11.028

[17] Jaggi, C.K., Goyal, S.K. and Goel, S.K. (2008) Retailer’s Optimal Replenishment De-cisions with Credit-Linked Demand under Permissible Delay in Payments. Euro-pean Journal of Operational Research, 190, 130-135.

https://doi.org/10.1016/j.ejor.2007.05.042

[18] Teng, J.T. (2009) Optimal Ordering Policies for a Retailer Who Offers Distinct Trade Credits to Its Good and Bad Credit Customers. International Journal of Pro-duction Economics, 119, 415-423. https://doi.org/10.1016/j.ijpe.2009.04.004

[19] Teng, J.T. and Chang, C.T. (2009) Optimal Manufacturer’s Replenishment Policies in the EPQ Model under Two Levels of Trade Credit Policy. European Journal of Operational Research, 195, 358-363. https://doi.org/10.1016/j.ejor.2008.02.001

[20] Yen, G.F., Chung, K.J. and Chen, T.C. (2012) The Optimal Retailer’s Ordering Poli-cies with Trade Credit Financing and Limited Storage Capacity in the Supply Chain System. International Journal of Systems Science, 43, 2144-2159.

[21] Srivastava, H.M., Yen, G.F., Lee, A.K., Wu, Y.X. and Lin, S.D. (2018) The Optimal Retailer’s EPQ Policies with Two-Level Trade Credit under Alternate Due Date of Payment and Limited Storage Capacity. Applied Mathematics & Information Sciences, 12, 1073-1089. https://doi.org/10.18576/amis/120602

[22] Hartley, R.V. (1976) Operations Research: A Managerial Emphasis. Goodyear Pub-lishing, Pacific Palisades.

[23] Hariga, M.A. (2011) Inventory Models for Multi-Warehouse Systems under Fixed and Flexible Space Leasing Contracts. Computers & Industrial Engineering, 61, 744-751. https://doi.org/10.1016/j.cie.2011.05.006

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Deteriorating Items with Two Warehouses and Trade Credit in a Supply Chain System. International Journal of Production Economics, 146, 557-565.

[25] Pakkala, T.P.M. and Achary, K.K. (1992) A Deterministic Inventory Model for De-teriorating Items with Two Warehouses and Finite Replenishment Rate. European Journal of Operational Research, 57, 71-76.

https://doi.org/10.1016/0377-2217(92)90306-T

[26] Thangam, A. and Uthayakumar, R. (2010) Optimal Pricing and Lot-Sizing Policy for a Two-Warehouse Supply Chain System with Perishable Items under Partial Trade Credit Financing. Operational Research: An International Journal, 10, 133-161.

Figure

Figure 1. Raw materials and product inventory level.
Figure 2. Annual holding cost when DTρ ≤W.
Figure 4. Annual interest payable when
Figure 6. Annual interest earned when 0≤T<N.
+3

References

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