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U.K.Misra et al Int. Journal of Engineering Research and Applications
ISSN : 2248-9622, Vol. 3, Issue 6, Nov-Dec 2013, pp.1430-1436

RESEARCH ARTICLE

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OPEN ACCESS

An Inventory Model for Weibull Ameliorating, Deteriorating
Items under the Influence of Inflation.
Smarajit Barik, Srichandan Mishra, S.K. Paikray, U.K. Misra
Dept. of Mathematics, DRIEMS Engineering College, Tangi, Cuttack ,Odisha, India.
Dept. of Mathematics, Govt. Science College, Malkangiri, Odisha, India.
Dept. of Mathematics, Ravenshaw University, Cuttack, Odisha, India.
Dept. of Mathematics, NIST, Paluru hills, Berhampur, Odisha, India.

Abstract
The objective of this model is to discuss the development of an inventory model for ameliorating items.
Generally fast growing animals like duck, pigs, broiler etc. in poultry farm, high-bred fishes are these types of
items. This paper investigates an instantaneous replenishment model for the above type of items under cost
minimization in the influence of inflation and time value of money. A time varying type of demand rate with
infinite time horizon, constant deterioration and without shortage is considered. The result is illustrated with
numerical example.
Keywords: Amelioration, Weibull distribution, Optimal control, Inventory system
AMS Classification No: 90B05

I.

INTRODUCTION

In many inventory systems, deterioration of
goods is a realistic phenomenon. Perishable items
widely exist in our daily life, such as fresh products,
fruits, vegetables, seafood, etc, which decrease in
quantity or utility during their delivery and storage
stage periods. To improve products quality and reduce
deteriorating loss in the fashion goods supply chain,
the emphasis is on the whole process life cycle
management which includes production, storage,
transportation, retailing etc. Many goods are subject to
deterioration or decay during their normal storage
period. Hence while determining the optimal
inventory policy of such type of product, the loss due
to deterioration has to be considered.
Whitin[18] considered an inventory model
for fashion goods deteriorating at the end of a
prescribed storage period. Ghare and Scharder [6]
developed an EOQ model with an exponential decay
and a deterministic demand. Thereafter, Covert and
Philip[3] and Philip[12] extended EOQ (Economic
Order Quantity) models for deterioration which
follows Weibull distribution. Wee[17] developed
EOQ models to allow deterioration and an exponential
demand pattern. In last two decades the economic
situation of most countries have changed to an extent
due to sharp decline in the purchasing power of money,
that it has not been possible to ignore the effects of
time value of money. Data and Pal[5], Bose et al.[2]
have developed the EOQ model incorporating the
effects of time value of money, a linear time
dependent demand rate. Further Sana [13] considered
the money value and inflation in a new level.

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In the existing literature, practitioners did not
give much attention for fast growing animals like
broiler, ducks, pigs etc. in the poultry farm, highbred
fishes in bhery (pond) which are known as
ameliorating items. When these items are in storage,
the stock increases (in weight) due to growth of the
items and also decrease due to death, various diseases
or some other factors. Till now, only Hwang [8,9]
reported this type of inventory model. Again, in 1999,
Hwang [9] developed inventory models for both
ameliorating and deteriorating items separately under
the issuing policies, LIFO (Last input Fast output) and
FIFO (First input First output).
In the present competitive market, the effect
if marketing policies and conditions such as the price
variations and advertisement of an item changes its
selling rate amongst the public. In selecting of an item
for use, the selling price of an item is one of the
decisive factors to the customers. It is commonly seen
that lesser selling price causes increases in the selling
rate whereas higher selling price has the reverse effect.
Hence, the selling rate of an item is dependent on the
selling price of that item. This selling rate function
must be a decreasing function with respect to the
selling price. Incorporating the price variations,
recently several researchers i.e. Urban [16], Ladany
and
Sternleib[10],
Subramanyam
amd
kumaraswamy[14], Goyal and Gunasekaran[7],
Bhunia and Maiti[1], Luo[11], and Das et.al [4]
developed their models for deteriorating and nondeteriorating items. R.P.Tripathi[15] developed the
model under different demand rate and holding cost.
In the paper, an economic order quantity
model is developed for both the ameliorating and
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U.K.Misra et al Int. Journal of Engineering Research and Applications
ISSN : 2248-9622, Vol. 3, Issue 6, Nov-Dec 2013, pp.1430-1436
deteriorating items for time varying demand rate. Here
the backlogging rate is assumed to be variable and
dependent on the waiting time for the next
replenishment. We consider the time–value of money
and inflation of each cost parameter. The time horizon
is classified into two intervals. In the 1st interval the
given stock is decreased to zero level due to the
combined effect of amelioration, deterioration and
demand. In the next interval the shortages are allowed
up to the time where some of the shortages are
backlogged and rest are lost.

II.

ASSUMPTIONS AND NOTATIONS

Following assumptions are made for the
proposed model:
i. A time varying type of demand rate is used.
ii. Single inventory will be used.
iii. Lead time is zero.
iv. Shortages are allowed and partially backlogged
with the backlogging rate

1
where the
1   (T  t )

backlogging parameter  is a non-negative constant.
v. Replenishment rate is infinite but size is finite.
vi. Time horizon is finite.
vii. There is no repair of deteriorated items occurring
during the cycle.
viii. Amelioration and deterioration occur when the
item is effectively in
stock.
ix. The time-value of money and inflation are
considered.
Following notations are made for the given model:
I (t ) = On hand inventory at time t .

R(t )  0 t  1 = Time varying demand rate where

0  0 .and 0  1  1.
  The constant deterioration rate where 0    1 .
I (0) =Inventory at time t  0 .
Q  On-hand inventory.
T  Duration of a cycle.
A(t ) = Instantaneous rate of amelioration of the on-

p c  The purchasing cost per unit item.

d c  The deterioration cost per unit item.

o c  The opportunity cost per unit item.
hc  The holding cost per unit item.
bc  The shortage cost per unit item.
III.

t  0 , then at time t  t , the on hand inventory in
the interval [0, t1 ] will be

I (t  t ) 
I (t )  A.I (t ).t   I (t ).t  0 t  1 .. t
Dividing by t and then taking as t  0

we get
(3.1)

dt
  t  1I (t )  I (t )  0 t  1
dt



for

0  t  t1 .
In the end interval , [t1 , T ]

0 t  
.t
1   (T  t )
t and then taking as t  0
1

I (t  t )  I (t ) 
Dividing by

(3.2)

dI
0 t  1

, t,  t  T .
dt
1   (T  t )
Now solving equation (3.1)with boundary condition

I (t1 )  0









 t11 1  t1 1



2 
1   1

t1 1  t 2  1 
t1
 t1   1 

2  1
1    1
 1  1

for 0  t  t1 .
On solving equation (3.2) with boundary condition I (t1 )  0
(3.3)

I (t )  0 e

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( t   t )

,

we get,

 1



FORMULATION

The aim of this model is to optimize the total
cost incurred and to determine the optimal ordering
level.In the interval [0, t1 ] the stock will be decreased
due to the effect of amelioration, deterioration and
demand. At time t1, the inventory level reaches zero
and in the next interval the shortage are allowed up to
time where some of the shortage are backlogged and
rest are lost. Only backlogged items are replaced in
the next lot.
If I (t ) be the on hand inventory at time

hand inventory given
by   t
where 0    1,   0 .
The inflation rate per unit time.
i
r  The discount rate representing the time value of
money.
a c = Cost of amelioration per unit.

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U.K.Misra et al Int. Journal of Engineering Research and Applications
ISSN : 2248-9622, Vol. 3, Issue 6, Nov-Dec 2013, pp.1430-1436







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

 (1   T ) 1 1 1 1


2 
I (t )  0 
t1  t

t1 1  t 2  1  for t1  t  T .
2  1
 1  1


(3.4)

Form equation (3.3), we obtain the initial inventory level.

 t11 1


2 
1   1 
I (0)  0 

t1 1 
t1
(3.5)
.
1    1
1  1 2  1

The total inventory holding during the time interval [0, t1 ] is given by,
(3.6) I T 

t1

 I dt
0
 t 11


  1  2 
2 
1   1  
 0  1

t1 1 
t1
t
 t1 
.t1 
1    1
 1 1
2 
1  1 2  1


2 

t1 1


3 
2    1
 0 

t1 1 
t1
(1  1 )(1    1 )(2    1 )
 (1  1 )(2  1 ) (2  1 )

2
3    1
2  2   1 
t1

t1
.
(2  1 )(3    1 )
(1    1 )(2  2  1 )


From of equation (3.4) amount of shortage during the time interval [t1 , T ] is
T



(3.7) BT   I dt
t1











 (1   T )

2 
3 
 0 
T 2  1  t1 1 
T 3 1  t1 1
(2  1 )(3  1 )
 (1  1 )(2  1 )

 (1   T ) 1 1

2  

t1

t1 1 (T  t1 )
(2  1 )
 (1  1 )


The amount of lost sell during the interval [t1 , T ] in given by,
T



(3.8) LT  R[1 
t1



1
]dt
1   (T  t )





 T
1
1 
2  
 0  
T 1 1  t1 1 
T 2  1  t1 1 
(2  1 )
 (1  1 )

During the inventory cycle, generally the deteriorated units are rejected. The total number of
deteriorated units during the inventory cycle is given by,
t1

(3.9) DT

   I (t )dt
0

 t 11


  1  2 
2 
1   1  
 0   1

t1 1 
t1
t
 t1 
.t1 
1  1 2  1
1    1
 1 1
2 


2 

t1 1


3 
2    1
 0  

t1 1 
t1
(1  1 )(1    1 )(2    1 )
 (1  1 )(2  1 ) (2  1 )

2
3    1
2  2   1 
t1

t1
.
(2  1 )(3    1 )
(1    1 )(2  2  1 )


The number of ameliorating units over the inventory cycle is given by,

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U.K.Misra et al Int. Journal of Engineering Research and Applications
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t1

  t  1I (t )dt

(3.10) AT

0

 t 11


 t1 1 
2 
1   1   t1
 0    1

t1 1 
t1
. 

1    1
 1 
1  1 2  1
 

   1

t1 1

2    1 
 0  

t1

 (1   )(  1  1) (2   )(2    1 )


Using the above equations into consideration the different costs under the influence of inflation and time-value
of money will be as follows.
1. Purchasing cost per cycle
T

(3.11)

p c I (0)  e ( r i )t dt
0

=

0





1 
pc 1  e  ( r  i )T  t1 1


2 
1   1 

t1 1 
t1


r i
1    1
1  1 2  1


2. Holding cost per cycle
t1



(3.12) hc I (t )e

 ( r i )t

dt

0

 1
 t 11


t
 t 2
2 
1   1  
 0 hc  1

t1 1 
t1
.t1   1
 1 

1    1
 1
2 
1  1 2  1


2 


t1 1
 t13 1
  t12    1
  t13   1
 0 hc 




 (1  1 )(2  1 ) (2  1 )(3  1 ) (1  1 )(1    1 )(2    1 ) (2  1 )(3    1 ) 

2
 2
 t 11


t
 t 3
2 
1   1   t1
 (r  i) 0 hc  1

t1 1 
t1
 1
 1 
.
1    1
 2
3 
1  1 2  1
 2

3 


t1 1
 t14  1
  t13   1
  t14    1
 (r  i)0 hc 




 (1  1 )(3  1 ) (2  1 )(4  1 ) (1  1 )(1    1 )(3    1 ) (2  1 )(4    1 ) 

3. Deterioration cost per cycle
t1

(3.13) d c

I (t )e

 ( r  i )t

dt

0

 1
 t 11


t1
 t 2
2 
1   1  
 0 d c   1

t1 1 
t1
 1 
.t1  
1    1
 1
2 
1  1 2  1


2 


t1 1
 t13 1
  t12    1
  t13   1
 0 d c  




 (1  1 )(2  1 ) (2  1 )(3  1 ) (1  1 )(1    1 )(2    1 ) (2  1 )(3    1 ) 

2
 2
 t 11


t
 t 3
2 
1   1   t1
 (r  i) 0 d c   1

t1 1 
t1
.
 1
 1 

1    1
 2
3 
1  1 2  1
 2

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3 


t1 1
 t14  1
  t13   1
  t14    1
 (r  i)0 d c  




 (1  1 )(3  1 ) (2  1 )(4  1 ) (1  1 )(1    1 )(3    1 ) (2  1 )(4    1 ) 

4. Amelioration cost per cycle
t1

(3.14) ac

 t

 1

I (t )e  ( r  i )t dt

0


 t 11


 t1 1 
2 
1   1   t1
 0 ac    1

t1 1 
t1
. 

1    1
 1 
1  1 2  1
 

1   1


t1
 t12    1
 0 ac   


 (1  1 )(1    1 ) (2  1 )(2    1 ) 
 1
 t 11


 t  2 
2 
1   1   t1
 0 (r  i )ac    1

t1 1 
t1
.
 1 

1    1
1  1 2  1
  1   2 

2    1


t1
 t13   1
 0 (r  i ) ac   


 (1  1 )(2    1 ) (2  1 )(3    1 ) 

5. Shortage cost per cycle
T



(3.15)  bc I (t )e

 ( r i )t

dt

t1

 0 bc









  b (1  T ) t121 0 bc t121 
0 bc
(1  T )
2 
3 
T 21  t1 1 
T 31  t1 1   0 c

(T  t1 )
(1  1 )(2  1 )
(2  1 )(3  1 )
(1  1 )
(2  1 ) 


2 
2 
  b (1  T )
0 bc
1   b (1  T ) t1 1 0 bc t1 1  2 2

3 
4 
 (r  i ) 0 c
T 31  t1 1  
T 41  t1 1   0 c

(T  t1 )
(2  1 )( 4  1 )
2
(1  1 )
(2  1 ) 
 (1  1 )(3  1 )
















6. Opportunity cost due to lost sales per cycle
T





(3.16) oc R 1 
t1



  ( r i )t
1
e
dt
1   (T  t ) 








 T
1
1 
2 
 0 oc  
T 11  t1 1 
T 21  t1 1
1  1
2  1








 T
1
2 
3 
 (r  i )
T 21  t1 1 
T 31  t1 1
3  1
 2  1
The average total cost per unit time of the model will be
(3.17) C (t1 ) 











1 
1  pc 1  e  ( r  i )T  t1 1


2
1    1 
0

t1 1 
t1



T
r i
1    1
1  1 2  1



 1
 t 11


t1
 t 2
2 
1   1  
 0 (hc  d c  )  1

t1 1 
t1
 1 
.t1  
1    1
 1
2 
1  1 2  1


2 


t1 1
 t13 1
  t12    1
  t13   1
 0 (hc  d c  ) 




 (1  1 )(2  1 ) (2  1 )(3  1 ) (1  1 )(1    1 )(2    1 ) (2  1 )(3    1 ) 

www.ijera.com

1434 | P a g e
U.K.Misra et al Int. Journal of Engineering Research and Applications
ISSN : 2248-9622, Vol. 3, Issue 6, Nov-Dec 2013, pp.1430-1436

www.ijera.com

2
 2
 t 11


t
 t 3
2 
1   1   t1
 (r  i) 0 (hc  d c  )  1

t1 1 
t1
 1
 1 
.
1    1
 2
3 
1  1 2  1
 2

3 


t1 1
 t14  1
  t13   1
  t14    1
 (r  i )0 (hc  d c  ) 




 (1  1 )(3  1 ) (2  1 )(4  1 ) (1  1 )(1    1 )(3    1 ) (2  1 )(4    1 ) 

 t 11


 t1 1 
2 
1   1   t1
 0 ac    1

t1 1 
t1
. 

1    1
 1 
1  1 2  1
 

1   1


t1
 t12    1
 0 ac   


 (1  1 )(1    1 ) (2  1 )(2    1 ) 
 1
 t 11


 t  2 
2 
1   1   t1
 0 (r  i )ac    1

t1 1 
t1
.
 1 

1    1
1  1 2  1
  1   2 

2    1


t1
 t13   1
 0 (r  i ) ac   


 (1  1 )(2    1 ) (2  1 )(3    1 ) 









  b (1  T ) t121 0 bc t121 
0 bc
(1  T )
2 
3 
T 21  t1 1 
T 31  t1 1   0 c

(T  t1 )
(1  1 )(2  1 )
(2  1 )(3  1 )
(1  1 )
(2  1 ) 

2 
2 

0 bc
1   b (1  T ) t1 1 0 bc t1 1  2 2
  b (1  T )
3 
4 
 (r  i ) 0 c
T 31  t1 1 
T 41  t1 1   0 c

(T  t1 )
(2  1 )( 4  1 )
2
(1  1 )
( 2  1 ) 
 (1  1 )(3  1 )

 0 bc

















 T
 T
1
1
1 
2 
2 
3 
 0 oc  
T 11  t1 1 
T 21  t1 1  (r  i )
T 21  t1 1 
T 31  t1 1
2  1
3  1
1  1
 2  1
As it is difficult to solve the problem by
deriving a closed equation of the solution of equation
(3.17), Matlab Software has been used to determine
*

optimal t1 and hence the optimal I (0) , the
minimum average total cost per unit time can be
determined.

IV.

NUMERICAL EXAMPLE

Following example
illustrate the preceding theory.

is

considered

to

Example
The values of the parameters are considered as
follows:

r  0.02, i  0.38,  0.2,   0.1, T  1 Year,
0  200 , 1  0.7,   0.7,   0.6,

ac  $6 / unit, hc  $4 / unit / year, pc  $15 / unit,.

d c  $9 / unit, oc  $12 / unit, bc  $10 / unit



V.

In

addition,

the

[1]

*

(3.17), we have the minimum average total cost per
unit time as

C *  138 .09 $.

www.ijera.com


 
 


CONCLUSION

References

optimal

I (0)  262 .679 units. Moreover, from equation



Here we have derived an inventory model
for some special type of items like mushroom &
fishes with both amelioration and deterioration. In
particular amelioration is considered to be of Weibull
type and constant deterioration is used under time
varying demand condition. In this model, shortages
are allowed and in the shortage period the
backlogging rate is variable which depends on the
length of the waiting time for the next replenishment.
An optimal replenishment policy is derived with
minimization of average total cost under the
influence of inflation and time-value of money. The
result is illustrated through numerical example. The
model can further be studied for different demand
situations and for multiple items under identical
conditions.

According to equation (3.17), we obtain the optimal

t1*  0.045 Year.



[2]

Bhunia, A.K. and Maiti, M.: An inventory
model for decaying items with selling price,
frequency of advertisement and linearly
time-dependent demand with shortages,
IAPQR Transactions, 22, 41-49.
Bose, S. et.al: “An EOQ model for
deteriorating items with linear timedependent demand rate and shortages under
inflation and time discounting”, J. Oper. Res.
Soc., 46 (1995), 771-782.

1435 | P a g e






U.K.Misra et al Int. Journal of Engineering Research and Applications
ISSN : 2248-9622, Vol. 3, Issue 6, Nov-Dec 2013, pp.1430-1436
[3]

[4]

[5]

[6]

[7]

[8]

[9]

[10]

[11]

[12]

[13]

[14]

[15]

[16]

[17]

[18]

www.ijera.com

Covert R.P. and Philip G.C.: “An EOQ
model for items with Weibull distribution
deterioration”, AIIF Transc., 5 (1973), 323326.
Das, K, Bhunia, A.K. and Maiti, M.: An
inventory model for deteriorating items with
shortages and selling price-dependent
demand, IAPQR Transactions., 24, 65-72.
Datta T.K. and Pal A.K.: “Effects of
inflation and time-value of money on an
inventory model with linear time-dependent
demand rate and shortages”, Eur. J. Oper.
Res., 52 (1991), 1-8.
Ghare P.M. and Scharder G.P.: “A model
for exponentially decaying inventory”, J. Ind.
Eng., 14 (1963), 238-243.
Goyal, S.K. and Gunasekaran, A.: An
integrated production-inventory-marketing
model for deteriorating items, Computers
Ind. Engg., 28, 41-49.
Hwang, H. S.: A study on an inventory
models for items with Weibull ameliorating,
Computers Ind. Zengg., 33. 701-704.
Hwang, H. S.: Inventory models for both
deteriorating and ameliorating items,
Computers Ind. Engg., 37, 257-260.
Ladany, S. and Sternleib A.: The
intersection of economic ordering quantities
and marketing policies, AIIE Transations., 6,
35-40.
Luo, W.: An integrated inventory system for
perishable goods with backordering,
Computers Ind. Engg., 34, 685-693.
Philip G.C.: “A generalized EOQ model for
items
with
Weibull
distribution
deterioration”, AIIE Transc., 6 (1974), 159162.
Sana S.: “An EOQ Model with TimeDependent Demand, Inflation and Money
Value for a Ware-House Enterpriser”,
Advanced Modeling and Optimization,
Volume 5, No 2, 2003.
Subramanyam, S. and Kumaraswamy, S.:
EOQ formula under varying marketing
policies and conditions, AIIE Transactions.,
13, 312-314.
Tripathi, R.P..: Inventory model with
different demand rate and different holding
cost, IJIEC, Volume 4, 2013, 437-446.
Urban, T. L.: Deterministic inventory
models incorporating marketing decisions,
Computers & Ind. Engg., 22, 85-93.
Wee H.M.: “A deterministic lot-size
inventory model for deteriorating items with
shortages on a declining market”, Comp.
Ops. Res., 22 (1995), 553-558.
Whitin
T.M.:“Theory
of
inventory
management”, Princeton University Press,
Princeton, NJ (1957), 62-72.

www.ijera.com

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  • 1. U.K.Misra et al Int. Journal of Engineering Research and Applications ISSN : 2248-9622, Vol. 3, Issue 6, Nov-Dec 2013, pp.1430-1436 RESEARCH ARTICLE www.ijera.com OPEN ACCESS An Inventory Model for Weibull Ameliorating, Deteriorating Items under the Influence of Inflation. Smarajit Barik, Srichandan Mishra, S.K. Paikray, U.K. Misra Dept. of Mathematics, DRIEMS Engineering College, Tangi, Cuttack ,Odisha, India. Dept. of Mathematics, Govt. Science College, Malkangiri, Odisha, India. Dept. of Mathematics, Ravenshaw University, Cuttack, Odisha, India. Dept. of Mathematics, NIST, Paluru hills, Berhampur, Odisha, India. Abstract The objective of this model is to discuss the development of an inventory model for ameliorating items. Generally fast growing animals like duck, pigs, broiler etc. in poultry farm, high-bred fishes are these types of items. This paper investigates an instantaneous replenishment model for the above type of items under cost minimization in the influence of inflation and time value of money. A time varying type of demand rate with infinite time horizon, constant deterioration and without shortage is considered. The result is illustrated with numerical example. Keywords: Amelioration, Weibull distribution, Optimal control, Inventory system AMS Classification No: 90B05 I. INTRODUCTION In many inventory systems, deterioration of goods is a realistic phenomenon. Perishable items widely exist in our daily life, such as fresh products, fruits, vegetables, seafood, etc, which decrease in quantity or utility during their delivery and storage stage periods. To improve products quality and reduce deteriorating loss in the fashion goods supply chain, the emphasis is on the whole process life cycle management which includes production, storage, transportation, retailing etc. Many goods are subject to deterioration or decay during their normal storage period. Hence while determining the optimal inventory policy of such type of product, the loss due to deterioration has to be considered. Whitin[18] considered an inventory model for fashion goods deteriorating at the end of a prescribed storage period. Ghare and Scharder [6] developed an EOQ model with an exponential decay and a deterministic demand. Thereafter, Covert and Philip[3] and Philip[12] extended EOQ (Economic Order Quantity) models for deterioration which follows Weibull distribution. Wee[17] developed EOQ models to allow deterioration and an exponential demand pattern. In last two decades the economic situation of most countries have changed to an extent due to sharp decline in the purchasing power of money, that it has not been possible to ignore the effects of time value of money. Data and Pal[5], Bose et al.[2] have developed the EOQ model incorporating the effects of time value of money, a linear time dependent demand rate. Further Sana [13] considered the money value and inflation in a new level. www.ijera.com In the existing literature, practitioners did not give much attention for fast growing animals like broiler, ducks, pigs etc. in the poultry farm, highbred fishes in bhery (pond) which are known as ameliorating items. When these items are in storage, the stock increases (in weight) due to growth of the items and also decrease due to death, various diseases or some other factors. Till now, only Hwang [8,9] reported this type of inventory model. Again, in 1999, Hwang [9] developed inventory models for both ameliorating and deteriorating items separately under the issuing policies, LIFO (Last input Fast output) and FIFO (First input First output). In the present competitive market, the effect if marketing policies and conditions such as the price variations and advertisement of an item changes its selling rate amongst the public. In selecting of an item for use, the selling price of an item is one of the decisive factors to the customers. It is commonly seen that lesser selling price causes increases in the selling rate whereas higher selling price has the reverse effect. Hence, the selling rate of an item is dependent on the selling price of that item. This selling rate function must be a decreasing function with respect to the selling price. Incorporating the price variations, recently several researchers i.e. Urban [16], Ladany and Sternleib[10], Subramanyam amd kumaraswamy[14], Goyal and Gunasekaran[7], Bhunia and Maiti[1], Luo[11], and Das et.al [4] developed their models for deteriorating and nondeteriorating items. R.P.Tripathi[15] developed the model under different demand rate and holding cost. In the paper, an economic order quantity model is developed for both the ameliorating and 1430 | P a g e
  • 2. U.K.Misra et al Int. Journal of Engineering Research and Applications ISSN : 2248-9622, Vol. 3, Issue 6, Nov-Dec 2013, pp.1430-1436 deteriorating items for time varying demand rate. Here the backlogging rate is assumed to be variable and dependent on the waiting time for the next replenishment. We consider the time–value of money and inflation of each cost parameter. The time horizon is classified into two intervals. In the 1st interval the given stock is decreased to zero level due to the combined effect of amelioration, deterioration and demand. In the next interval the shortages are allowed up to the time where some of the shortages are backlogged and rest are lost. II. ASSUMPTIONS AND NOTATIONS Following assumptions are made for the proposed model: i. A time varying type of demand rate is used. ii. Single inventory will be used. iii. Lead time is zero. iv. Shortages are allowed and partially backlogged with the backlogging rate 1 where the 1   (T  t ) backlogging parameter  is a non-negative constant. v. Replenishment rate is infinite but size is finite. vi. Time horizon is finite. vii. There is no repair of deteriorated items occurring during the cycle. viii. Amelioration and deterioration occur when the item is effectively in stock. ix. The time-value of money and inflation are considered. Following notations are made for the given model: I (t ) = On hand inventory at time t . R(t )  0 t  1 = Time varying demand rate where 0  0 .and 0  1  1.   The constant deterioration rate where 0    1 . I (0) =Inventory at time t  0 . Q  On-hand inventory. T  Duration of a cycle. A(t ) = Instantaneous rate of amelioration of the on- p c  The purchasing cost per unit item. d c  The deterioration cost per unit item. o c  The opportunity cost per unit item. hc  The holding cost per unit item. bc  The shortage cost per unit item. III. t  0 , then at time t  t , the on hand inventory in the interval [0, t1 ] will be I (t  t )  I (t )  A.I (t ).t   I (t ).t  0 t  1 .. t Dividing by t and then taking as t  0 we get (3.1) dt   t  1I (t )  I (t )  0 t  1 dt  for 0  t  t1 . In the end interval , [t1 , T ] 0 t   .t 1   (T  t ) t and then taking as t  0 1 I (t  t )  I (t )  Dividing by (3.2) dI 0 t  1  , t,  t  T . dt 1   (T  t ) Now solving equation (3.1)with boundary condition I (t1 )  0      t11 1  t1 1    2  1   1  t1 1  t 2  1  t1  t1   1   2  1 1    1  1  1  for 0  t  t1 . On solving equation (3.2) with boundary condition I (t1 )  0 (3.3) I (t )  0 e www.ijera.com ( t   t ) , we get,  1  FORMULATION The aim of this model is to optimize the total cost incurred and to determine the optimal ordering level.In the interval [0, t1 ] the stock will be decreased due to the effect of amelioration, deterioration and demand. At time t1, the inventory level reaches zero and in the next interval the shortage are allowed up to time where some of the shortage are backlogged and rest are lost. Only backlogged items are replaced in the next lot. If I (t ) be the on hand inventory at time hand inventory given by   t where 0    1,   0 . The inflation rate per unit time. i r  The discount rate representing the time value of money. a c = Cost of amelioration per unit. www.ijera.com 1431 | P a g e
  • 3. U.K.Misra et al Int. Journal of Engineering Research and Applications ISSN : 2248-9622, Vol. 3, Issue 6, Nov-Dec 2013, pp.1430-1436    www.ijera.com   (1   T ) 1 1 1 1   2  I (t )  0  t1  t  t1 1  t 2  1  for t1  t  T . 2  1  1  1  (3.4) Form equation (3.3), we obtain the initial inventory level.  t11 1   2  1   1  I (0)  0   t1 1  t1 (3.5) . 1    1 1  1 2  1  The total inventory holding during the time interval [0, t1 ] is given by, (3.6) I T  t1  I dt 0  t 11     1  2  2  1   1    0  1  t1 1  t1 t  t1  .t1  1    1  1 1 2  1  1 2  1  2   t1 1   3  2    1  0   t1 1  t1 (1  1 )(1    1 )(2    1 )  (1  1 )(2  1 ) (2  1 )  2 3    1 2  2   1  t1  t1 . (2  1 )(3    1 ) (1    1 )(2  2  1 )  From of equation (3.4) amount of shortage during the time interval [t1 , T ] is T  (3.7) BT   I dt t1       (1   T )  2  3   0  T 2  1  t1 1  T 3 1  t1 1 (2  1 )(3  1 )  (1  1 )(2  1 )   (1   T ) 1 1  2    t1  t1 1 (T  t1 ) (2  1 )  (1  1 )   The amount of lost sell during the interval [t1 , T ] in given by, T  (3.8) LT  R[1  t1  1 ]dt 1   (T  t )    T 1 1  2    0   T 1 1  t1 1  T 2  1  t1 1  (2  1 )  (1  1 )  During the inventory cycle, generally the deteriorated units are rejected. The total number of deteriorated units during the inventory cycle is given by, t1 (3.9) DT    I (t )dt 0  t 11     1  2  2  1   1    0   1  t1 1  t1 t  t1  .t1  1  1 2  1 1    1  1 1 2    2   t1 1   3  2    1  0    t1 1  t1 (1  1 )(1    1 )(2    1 )  (1  1 )(2  1 ) (2  1 )  2 3    1 2  2   1  t1  t1 . (2  1 )(3    1 ) (1    1 )(2  2  1 )  The number of ameliorating units over the inventory cycle is given by, www.ijera.com 1432 | P a g e
  • 4. U.K.Misra et al Int. Journal of Engineering Research and Applications ISSN : 2248-9622, Vol. 3, Issue 6, Nov-Dec 2013, pp.1430-1436 www.ijera.com t1   t  1I (t )dt (3.10) AT 0   t 11    t1 1  2  1   1   t1  0    1  t1 1  t1 .   1    1  1  1  1 2  1      1  t1 1  2    1   0    t1   (1   )(  1  1) (2   )(2    1 )  Using the above equations into consideration the different costs under the influence of inflation and time-value of money will be as follows. 1. Purchasing cost per cycle T (3.11) p c I (0)  e ( r i )t dt 0 = 0   1  pc 1  e  ( r  i )T  t1 1   2  1   1   t1 1  t1   r i 1    1 1  1 2  1  2. Holding cost per cycle t1  (3.12) hc I (t )e  ( r i )t dt 0  1  t 11   t  t 2 2  1   1    0 hc  1  t1 1  t1 .t1   1  1   1    1  1 2  1  1 2  1  2    t1 1  t13 1   t12    1   t13   1  0 hc       (1  1 )(2  1 ) (2  1 )(3  1 ) (1  1 )(1    1 )(2    1 ) (2  1 )(3    1 )  2  2  t 11   t  t 3 2  1   1   t1  (r  i) 0 hc  1  t1 1  t1  1  1  . 1    1  2 3  1  1 2  1  2 3    t1 1  t14  1   t13   1   t14    1  (r  i)0 hc       (1  1 )(3  1 ) (2  1 )(4  1 ) (1  1 )(1    1 )(3    1 ) (2  1 )(4    1 )  3. Deterioration cost per cycle t1 (3.13) d c I (t )e  ( r  i )t dt 0  1  t 11   t1  t 2 2  1   1    0 d c   1  t1 1  t1  1  .t1   1    1  1 2  1  1 2  1  2    t1 1  t13 1   t12    1   t13   1  0 d c        (1  1 )(2  1 ) (2  1 )(3  1 ) (1  1 )(1    1 )(2    1 ) (2  1 )(3    1 )  2  2  t 11   t  t 3 2  1   1   t1  (r  i) 0 d c   1  t1 1  t1 .  1  1   1    1  2 3  1  1 2  1  2 www.ijera.com 1433 | P a g e
  • 5. U.K.Misra et al Int. Journal of Engineering Research and Applications ISSN : 2248-9622, Vol. 3, Issue 6, Nov-Dec 2013, pp.1430-1436 www.ijera.com 3    t1 1  t14  1   t13   1   t14    1  (r  i)0 d c        (1  1 )(3  1 ) (2  1 )(4  1 ) (1  1 )(1    1 )(3    1 ) (2  1 )(4    1 )  4. Amelioration cost per cycle t1 (3.14) ac  t  1 I (t )e  ( r  i )t dt 0   t 11    t1 1  2  1   1   t1  0 ac    1  t1 1  t1 .   1    1  1  1  1 2  1   1   1   t1  t12    1  0 ac       (1  1 )(1    1 ) (2  1 )(2    1 )   1  t 11    t  2  2  1   1   t1  0 (r  i )ac    1  t1 1  t1 .  1   1    1 1  1 2  1   1   2  2    1   t1  t13   1  0 (r  i ) ac       (1  1 )(2    1 ) (2  1 )(3    1 )  5. Shortage cost per cycle T  (3.15)  bc I (t )e  ( r i )t dt t1  0 bc       b (1  T ) t121 0 bc t121  0 bc (1  T ) 2  3  T 21  t1 1  T 31  t1 1   0 c  (T  t1 ) (1  1 )(2  1 ) (2  1 )(3  1 ) (1  1 ) (2  1 )   2  2    b (1  T ) 0 bc 1   b (1  T ) t1 1 0 bc t1 1  2 2  3  4   (r  i ) 0 c T 31  t1 1  T 41  t1 1   0 c  (T  t1 ) (2  1 )( 4  1 ) 2 (1  1 ) (2  1 )   (1  1 )(3  1 )           6. Opportunity cost due to lost sales per cycle T   (3.16) oc R 1  t1    ( r i )t 1 e dt 1   (T  t )       T 1 1  2   0 oc   T 11  t1 1  T 21  t1 1 1  1 2  1      T 1 2  3   (r  i ) T 21  t1 1  T 31  t1 1 3  1  2  1 The average total cost per unit time of the model will be (3.17) C (t1 )        1  1  pc 1  e  ( r  i )T  t1 1   2 1    1  0  t1 1  t1    T r i 1    1 1  1 2  1    1  t 11   t1  t 2 2  1   1    0 (hc  d c  )  1  t1 1  t1  1  .t1   1    1  1 2  1  1 2  1  2    t1 1  t13 1   t12    1   t13   1  0 (hc  d c  )       (1  1 )(2  1 ) (2  1 )(3  1 ) (1  1 )(1    1 )(2    1 ) (2  1 )(3    1 )  www.ijera.com 1434 | P a g e
  • 6. U.K.Misra et al Int. Journal of Engineering Research and Applications ISSN : 2248-9622, Vol. 3, Issue 6, Nov-Dec 2013, pp.1430-1436 www.ijera.com 2  2  t 11   t  t 3 2  1   1   t1  (r  i) 0 (hc  d c  )  1  t1 1  t1  1  1  . 1    1  2 3  1  1 2  1  2 3    t1 1  t14  1   t13   1   t14    1  (r  i )0 (hc  d c  )       (1  1 )(3  1 ) (2  1 )(4  1 ) (1  1 )(1    1 )(3    1 ) (2  1 )(4    1 )    t 11    t1 1  2  1   1   t1  0 ac    1  t1 1  t1 .   1    1  1  1  1 2  1   1   1   t1  t12    1  0 ac       (1  1 )(1    1 ) (2  1 )(2    1 )   1  t 11    t  2  2  1   1   t1  0 (r  i )ac    1  t1 1  t1 .  1   1    1 1  1 2  1   1   2  2    1   t1  t13   1  0 (r  i ) ac       (1  1 )(2    1 ) (2  1 )(3    1 )        b (1  T ) t121 0 bc t121  0 bc (1  T ) 2  3  T 21  t1 1  T 31  t1 1   0 c  (T  t1 ) (1  1 )(2  1 ) (2  1 )(3  1 ) (1  1 ) (2  1 )   2  2   0 bc 1   b (1  T ) t1 1 0 bc t1 1  2 2   b (1  T ) 3  4   (r  i ) 0 c T 31  t1 1  T 41  t1 1   0 c  (T  t1 ) (2  1 )( 4  1 ) 2 (1  1 ) ( 2  1 )   (1  1 )(3  1 )   0 bc          T  T 1 1 1  2  2  3   0 oc   T 11  t1 1  T 21  t1 1  (r  i ) T 21  t1 1  T 31  t1 1 2  1 3  1 1  1  2  1 As it is difficult to solve the problem by deriving a closed equation of the solution of equation (3.17), Matlab Software has been used to determine * optimal t1 and hence the optimal I (0) , the minimum average total cost per unit time can be determined. IV. NUMERICAL EXAMPLE Following example illustrate the preceding theory. is considered to Example The values of the parameters are considered as follows: r  0.02, i  0.38,  0.2,   0.1, T  1 Year, 0  200 , 1  0.7,   0.7,   0.6, ac  $6 / unit, hc  $4 / unit / year, pc  $15 / unit,. d c  $9 / unit, oc  $12 / unit, bc  $10 / unit  V. In addition, the [1] * (3.17), we have the minimum average total cost per unit time as C *  138 .09 $. www.ijera.com       CONCLUSION References optimal I (0)  262 .679 units. Moreover, from equation  Here we have derived an inventory model for some special type of items like mushroom & fishes with both amelioration and deterioration. In particular amelioration is considered to be of Weibull type and constant deterioration is used under time varying demand condition. In this model, shortages are allowed and in the shortage period the backlogging rate is variable which depends on the length of the waiting time for the next replenishment. An optimal replenishment policy is derived with minimization of average total cost under the influence of inflation and time-value of money. The result is illustrated through numerical example. The model can further be studied for different demand situations and for multiple items under identical conditions. According to equation (3.17), we obtain the optimal t1*  0.045 Year.  [2] Bhunia, A.K. and Maiti, M.: An inventory model for decaying items with selling price, frequency of advertisement and linearly time-dependent demand with shortages, IAPQR Transactions, 22, 41-49. Bose, S. et.al: “An EOQ model for deteriorating items with linear timedependent demand rate and shortages under inflation and time discounting”, J. Oper. Res. Soc., 46 (1995), 771-782. 1435 | P a g e     
  • 7. U.K.Misra et al Int. Journal of Engineering Research and Applications ISSN : 2248-9622, Vol. 3, Issue 6, Nov-Dec 2013, pp.1430-1436 [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] www.ijera.com Covert R.P. and Philip G.C.: “An EOQ model for items with Weibull distribution deterioration”, AIIF Transc., 5 (1973), 323326. Das, K, Bhunia, A.K. and Maiti, M.: An inventory model for deteriorating items with shortages and selling price-dependent demand, IAPQR Transactions., 24, 65-72. Datta T.K. and Pal A.K.: “Effects of inflation and time-value of money on an inventory model with linear time-dependent demand rate and shortages”, Eur. J. Oper. Res., 52 (1991), 1-8. Ghare P.M. and Scharder G.P.: “A model for exponentially decaying inventory”, J. Ind. Eng., 14 (1963), 238-243. Goyal, S.K. and Gunasekaran, A.: An integrated production-inventory-marketing model for deteriorating items, Computers Ind. Engg., 28, 41-49. Hwang, H. S.: A study on an inventory models for items with Weibull ameliorating, Computers Ind. Zengg., 33. 701-704. Hwang, H. S.: Inventory models for both deteriorating and ameliorating items, Computers Ind. Engg., 37, 257-260. Ladany, S. and Sternleib A.: The intersection of economic ordering quantities and marketing policies, AIIE Transations., 6, 35-40. Luo, W.: An integrated inventory system for perishable goods with backordering, Computers Ind. Engg., 34, 685-693. Philip G.C.: “A generalized EOQ model for items with Weibull distribution deterioration”, AIIE Transc., 6 (1974), 159162. Sana S.: “An EOQ Model with TimeDependent Demand, Inflation and Money Value for a Ware-House Enterpriser”, Advanced Modeling and Optimization, Volume 5, No 2, 2003. Subramanyam, S. and Kumaraswamy, S.: EOQ formula under varying marketing policies and conditions, AIIE Transactions., 13, 312-314. Tripathi, R.P..: Inventory model with different demand rate and different holding cost, IJIEC, Volume 4, 2013, 437-446. Urban, T. L.: Deterministic inventory models incorporating marketing decisions, Computers & Ind. Engg., 22, 85-93. Wee H.M.: “A deterministic lot-size inventory model for deteriorating items with shortages on a declining market”, Comp. Ops. Res., 22 (1995), 553-558. Whitin T.M.:“Theory of inventory management”, Princeton University Press, Princeton, NJ (1957), 62-72. www.ijera.com 1436 | P a g e