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" "Impact of Inventory Planning and Control on the Profitability of Industrial Companies in Uncertainty ConditionsApplication on Steel Industry Companies / Logistics Senoir Manager Ezzsteel Suez - Egypt E-mial: [email protected]: 00201006054604 ./ ./
" (1) (2) (3) (4) (5)"
{ (1) (5)}
: . . ./ . ./ . ./ . .
: 11/1- 21/2- :51/2/1 :151/3 :161/3/1 :161/3/2 :161/3/3 :291/4 :301/5 : 311/6 :321/6/1 :321/6/2 :321/7- :341/7/1 :341/7/2 :341/7/3 351/7/3/1 :351/7/3/2 :351/7/3/3 : :351/7/3/4 :36
1/8 :371/9 :37 : 392/1 Inventory or Stock Concept :402/2 :432/2/1 : 432/2/2 442/2/3 :462/2/4 472/3 482/4 :492/5 :512/5/1 Purpose of Inventory 512/5/2 Type of Inventory 532/5/3 Nature of Demand 542/6 :552/7 572/7/1 :582/7/2 :582/8 : 592/8/1 :592/8/2 :592/8/3 :602/8/4 Inventory Control :602/9 612/10 : 632/10/1 Holding or Carrying Costs632/10/2 652/10/3 Shortage Costs 672/11 (Pull) (Push) 682/11/1 - Push :682/11/2 - Pull:692/12 712/12/1 Inventory Turn Over712/12/2 Stock-Outs722/12/3 Service Level722/12/4 Lead Time722/12/5 Stcok Cover722/13 :732/14 : 74 : 783/1 : 793/2 :813/3 ( ):903/3/1 :913/3/2 :1033/3/3 - :1053/3/3/1 2010 2010 :1053/3/3/2 2010 2010 :1073/3/3/3 2011 2011 :1084.3.3 :110 : 1114/1 :1124/2 :1164/3 : .......................................................................................................................120
1/1 ..................25
2/1 ...............................................26
3/1 HBI.................................................26
4/1 .......................................27
5/1 ...............................................27
6/1 .................................28
7/1 .................................28
2/1 ...................41
2/2 / ......................................51
3/2 .............55
4/2Suppply Chain Decesion Making Framwork.......57
3/1 ..............................................80
3/2 ........94
3/3 2010...........................106
3/4 2010 2010.......106
3/5 2010.........................107
3/6 2010 2010....108
3/7 2011.........................109
3/8 2011 2011...109
1/1 2011.........................18
2/1 2001 2010..............20
1/3 .................................................................31
1/4 ......31
1/5 .........................................................31
3/1 ( )....................................81
3/2 ( )....................................83
3/3 ( )...............................85
3/3 ...............................................................95
3/4 .....................................................96
3/5 ................................................................97
3/6 ............................................98
3/7 .....................................................99
3/8 ...........................................................100
3/9 ...........................................................................101
3/10 ...........................................................102
3/11 .............110
101
:
1/1 1/2 .1/3 1/4 1/5 1/6 1/7 1/8 1/9
1/1- Inventory Management (- ) ( ) ( ) . . . 80% 2001 2010 2003 . .
. . Pull Push . .
1/2- :1
Liquidity Vs Profitability -A Case Study on Inventory Management of Cement Industry in Tamilnadu ([footnoteRef:1]) [1: Ashokkumar N. & Manohar V. (2010). Liquidity Vs Profitability -A Case Study on Inventory Management of Cement Industry in Tamilnadu. Advances in ManagementJournal, 3, 56-60]
Ashokkumar N. and Manohar
Tamilnadu 1999/2000 2008/2009.
. 83% 57% . . . 3.01% ROI
. . .
2
Improving inventory performance with clustering based demand forecasts ([footnoteRef:2]) [2: Pradip Kumar Bala, P. (2012). Improving inventory performance with clustering based demand forecasts. Journal of Modeling in Management 7 (1),23-37. ]
Pradip Kumar Bala
.
. . . : . .
. " " . . .
3
Improving Inventory Management in Small Business: ([footnoteRef:3]) [3: Bai, L. & Zhong, Y. (2008). Improving Inventory Management in Small Business: A Case Study. (Masters thesis). Jonkoping International Business School.]
Lining Bai and Ying Zhong
2007 20 ABC . A C . .
ABC . . .
4
Inventory Management as a Department for Improvemnet of Customer Service ([footnoteRef:4]) [4: Mpwanya, M. (2005). Inventory management as a determinant for improvement of customer service. (Masters thesis). University of Pretoria.]
Musenga Francis Mpwanya
Guating Province .
. . Guating Province . Guating Province 86.97% . / .
: . Enterprise Resource Planning (ERP) : (ERP) ERP Guating Province .
5
On the relationship between inventory and financial performance in manufacturing companies ([footnoteRef:5]) [5: Capkun, V., Hameri, A. & Weiss, L. (2009). On the relationship between inventory and financial performance in manufacturing companies. International Journal of Operations & Production Management, 29 (8), 789-806.]
Vedran Capkun, Ari-Pekka Hameri, Lawrence A. Weiss
(- - ) .
( ) ( ) . .
. .
6
INVENTORY MANAGEMENT INTRODUCING A FRAMEWORK TO ASSESS OPERATIONAL PERFORMANCE.([footnoteRef:6]) [6: Heck, G. (2009). Inventory management: introducing a framework to assess operational performance. (Masters thesis). Delft University of Technology]
Author: Guido van Heck, BSc. Delft University of Technology
Enterprise Resouurce Planning (ERP) .
A B :1- A : : : . : . : : .
2- B : B SAP : : Fax Server EDI . : EDI .
A : SAP Vila SAP . B: B SAP . B .
7
Determinants of successful vendor managed inventoryRelationships in oligopoly industries. ([footnoteRef:7]) [7: Dorling, K. & Scott, J. Deakins, E. (2006). Determinants of successful vendor managed inventory relationships in oligopoly industries. International Journal of Physical Distribution & Logistics Management, 36 (3), 176-191]
Kim DorlingCoca Cola Amatil (NZ) Limited, Auckland, New Zealand, andJohn Scott and Eric DeakinsUniversity of Waikato, Hamilton, New Zealand
vendor managed inventory (VMI) .
VMI :1- .2- .3- .4- .5- .6- 7- . VMI NZ Food Industry . NZ Food Industry
. :1- 2- 3-
8
Re-engineering materials management A Case Study on Indian An Refinery ([footnoteRef:8]) [8: Dey, P. (2001). Re-engineering materials management: A case study on an Indian refinery. Business Process Management Journal, 7 (5), 394-408.]
Prasanto Kumar Dey
30% 15% . . . / .
:1- .2- .3- .4- .5- : .6- : .7- : .
9
Origins of profitability through JIT processes in the supply chain ([footnoteRef:9]) [9: Mistry, J. (2005). Origins of profitability through JIT processes in the supply chain. Industrial Management & Data Systems, 105 (6), 752-768.]
Jamshed J. Mistry
Just In Time (JIT) .
.
JIT .
10
Process efciency of the enterprise resource planning adoption([footnoteRef:10]) [10: Shaio Yan Huang, Shi-Ming Huang, Tung Hsien Wu, Wen-kai Lin, (2009). Process efficiency of the enterprise resource planning adoption. Industrial Management & Data Systems, 109 (8), 1085-1100.]
Shaio Yan Huang, Shi-Ming Huang and Tung-Hsien WuDepartment of Accounting and Information Technology, National Chung Cheng University, Chia-Yi, Taiwan, and Wen-kai LinDepartment of Accounting, Providence University, Taichung, Taiwan
Enterprise Resource Planning (ERP) ERP Taiwan
( ) ( ) ( ) ERP . ERP . ERP .
Enterprise Resource Planning (ERP) . ERP ERP ERP ERP ..
1/2/1 :
: 1- 60% .2- .3- 80% .4- .5- .
.
1/3 :
:1/3/1 :1- .2- .3- 2001-2010.4- 2001-2010.5- 2001-2010.6- .1/3/2 : : .
: .
:
1- :
:[footnoteRef:11] [11: PDF] ESR 2011 FY Consolidated Financials EN - Ezz Steel]
1/1 31 2011
31-12-201031-03-2011
3,734,494,0003,726,757,000
184,938,000165,561,000
586,039,000671,741,000
47,518,00066,813,000
58,281,00032,622,000
1,414,853,0001,350,446,000
6,026,123,0006,013,940,000
%62%62
: ESR 2011 FY Consolidated Financials EN - Ezz Steel
. . :1- : .2- : .3- : .4- : .
2- (2001-2010): 1/2 Scrap (HBI) Hot Brquieted Iron Iron Ore Billet Long Steel Hot Rolled Coil (HRC) 2001-2010 2008 :
1/2: 2001 ([footnoteRef:12]) 2010 [12: Metal Buliten.4th steel logistics Conference Belgium- Antwerp 21-22 September 2010, Importance of Supply Chain Efficiency during Steel Market Changes.]
ScarpHBIIron OreBilletLong SteelHRC
20017528.92155199192
7128.92150199198
6628.92154200205
7028.92158200207
7028.92156200205
7328.92159200203
7328.92161200203
7628.92158199200
8428.92158198199
8328.92156198199
7928.92153190190
7928.92153190183
20028328.62153187187
8528.62153189187
8728.62153194193
9028.62153192201
9328.62150194215
10228.62156204237
10728.62175203243
10028.62175209253
9428.62175209263
10328.62175219278
10528.62183223283
10928.62200228284
200313531.04219249288
14731.04258271297
15331.04258281307
13431.04243284297
12831.04220282275
11531.04217279275
12731.04225277287
13631.04240278287
14131.04240283290
14431.04250288291
14831.04- 19-
264296298
15631.04281292318
200418836.45344314340
22736.45390398392
23136.45397468477
23036.45368494502
19936.45319391503
18636.45297431495
22036.45346413550
24536.45375433557
23136.45375461575
24436.45375475575
24436.45356480557
23536.45335477561
200522026862.51345434553
22226862.51359436558
22026862.51362441568
21626862.51363443577
20024962.51338424555
16020962.51290388508
19120862.51303385485
20920862.51316337465
23023862.51345402476
19023862.51340418483
19821262.51328406479
18619062.51328395418
200618518774.39319395410
21419874.39319403405
22520574.39346402415
23621474.39355463488
24324074.39383463505
16724074.39419478363
26430074.39406489575
24228274.39396500558
25325574.39409491552
24925174.39422489523
25125074.39409506522
25325074.39406490527
200727124181.46430478509
28622881.46489534526
32622881.46535575558
31030581.46534607563
30630581.46501615566
29530581.46490605561
28030581.46475603567
29230581.46488579553
29530581.46510584543
29530581.46496579558
29629081.46504594565
32229381.46540582583
200839830081.46622624608
39837581.46672729695
47641381.46804755763
567425134.41891948900
633563134.4110261054910
647650134.4111741215992
632692134.41116313331,017
485631134.4190712481,100
351615134.416339981,090
223468134.41410728985
192310134.41323456870
225255134.41365475688
2009264240134.41390513595
244225134.41365505558
203225134.41304430485
21918596.51350405440
23818596.51365460404
23018596.51380462413
24420396.51396470488
27822196.51435467513
25222296.51409492548
24821096.51399505530
25320796.51398465520
27921096.51415473534
201031023196.51438490544
30824096.51465522557
35928696.51523508613
400389168.55622663690
351324168.55535703738
282298168.55454550709
305283219.85480527634
362532643663
Source: Metal Buliten.4th Steel logistics Conference Belgium- Antwerp 21st -22nd September 2010 Importance of Supply Chain Efficiency during Steel Market Changes.
1/2 2001 2010 .
1/1
Source: Metal Buliten.4th Steel logistics Conference Belgium- Antwerp 21-22 September 2010, Importance of Supply Chain Efficiency during Steel Market Changes
1/1 2001 2003 2004 2005 . 1/2
Source: Metal Buliten.4th Steel logistics Conference Belgium- Antwerp 21-22 September 2010, Importance of Supply Chain Efficiency during Steel Market Changes
1/2 2008 . 1/3 HBI
Source: Metal Buliten.4th Steel logistics Conference Belgium- Antwerp 21-22 September 2010, Importance of Supply Chain Efficiency during Steel Market Changes
1/3 Hor Brequited Iron (HBI) . 1/4:
Source: Metal Buliten.4th Steel logistics Conference Belgium- Antwerp 21-22 September 2010, Importance of Supply Chain Efficiency during Steel Market Changes
1/4 Iron Ore . 1/5
Source: Metal Buliten.4th Steel logistics Conference Belgium- Antwerp 21-22 September 2010, Importance of Supply Chain Efficiency during Steel Market Changes
1/5 . 1/6
Source: Metal Buliten.4th Steel logistics Conference Belgium- Antwerp 21-22 September 2010, Importance of Supply Chain Efficiency during Steel Market Changes
1/6 . 1/7
Source: Metal Buliten.4th Steel logistics Conference Belgium- Antwerp 21-22 September 2010, Importance of Supply Chain Efficiency during Steel Market Changes
1/7 Hot Rolled Coils (HRC) .
3- : 80% .1/3/3 : :1- .2- . 3- 60% .4- .
1/4 : : :- : - :-
.
1/5 : (1/3)
( ) :
(1/4)
( )
. .
(1/5)
( )
. .
1/6 :
1/6/1 : :1- .2- .3- .
1/6/2 : : : .
: .
: .- : 80% .
1/7- :1/7/1 : .1/7/2 : : :- . 94% 80.3% 54% . 27% . :-1- .2- .3- .1/7/3 1/7/3/1 : . 1/7/3/2 : ( ) .
1/7/3/3 : : : : : (4) . : (6) .
: (10) . : . () .1/7/3/4 : ( ) (93.3%) (80.6%) (54%) (76%) .
1/8 : :
1/8/1 .
1/8/2 .
1/8/3 2001 2012 .
1/9 : :
: : .
: : Pull Push .
: : .
:
.
:
2/1 .2/2 .2/3 .2/4 2/5 2/6 .2/7 .2/8 .2/9 2/10 2/11 (Pull) (Push) 2/12 .2/13 . 2/14
2/1 Inventory or Stock Concept : Inventory [footnoteRef:13] [13: 212 :3.]
Inventory is any idle resource held for future use .[footnoteRef:14] [14: 2013 :207.]
. .[footnoteRef:15] [15: http://www.managementstudyguide.com/inventory-management.htm]
Inventory or Stock .[footnoteRef:16] [16: www.syrcs.org/articles/marketing/ART-022.pdf]
1/1 1/1 .[footnoteRef:17] [17: Sherif Hany Seif El Nasr, Bi-criteria Optimization To The Performance Of The Inventory Management System, Arab Academy For Sciences & Technology And Maritime transport, Institute of International Logistics, page 7.]
2/1
: Sherif Hany Seif El Nasr,Bi-criteria Optimization To The Performance Of The Inventory Management System Research, op. cit. p: 7. (- ) ( ) ( ) .
.
2/2 :2/2/1 : [footnoteRef:18] [18: () " - : 37-38 ]
. . . 1970 3% . . .
2/2/2 [footnoteRef:19] [19: " " : 35-36. ]
:1- : .2- : .3- : .
:[footnoteRef:20] [20: )( www.pmpyd.org.sa/pub/%20-%20%20.doc]
1- .2- .3- .4- .5- .6- .7- .8- .9- .10- .11- .12- .13-
2/2/3 :[footnoteRef:21] [21: )( http://edara-eg.net/new_page_14.htm__]
: .
.
.
. .[footnoteRef:22] [22: 2013:219.]
(- ).
2/2/4 [footnoteRef:23] [23: () " " : 38-39 . ]
. .
.
: Responsive : . Efficiency : . : .
2/3 [footnoteRef:24] [24: :216-218.]
: :1- : . .2- : - - . .3- : . Just in Time .4- : . . . .5- : . .6- : .7- : .8- : . .
. .
2/4 :[footnoteRef:25] [25: 212 :6.]
: 2/4/1 Obsolescence .2/4/2 Deterioration .
2/4/3 Pilferage / spoilage .
2/4/4 Price Changes 2008 .
2/4/5
2/5 : :2/5/1 Purpose of Inventory [footnoteRef:26] [26: Kent N. Grourdin, Global Logistics Management, Blackwell Publishers Ltd, UK/USA, 2001, p: 61-62.]
1 / Periodical /Active inventory 2/2 / . 2/2 /
: www.syrcs.org/articles/marketing/ART-022.pdf
2- Safety Inventory .
3- In -transit Inventory .
4- Seasonal Inventory .
5- Speculative Inventory .6- Dead Inventory .
2/5/2 Type of Inventory [footnoteRef:27] [27: 212 :8-10.]
1- Raw Materials .
2- In Process Inventory .
3- Subassemblies and Components .
4- Maintenance, Repair and Operating Supplies (MRO) .
5- Packing Materials .
6- Finished products .7- By- Products& Used items .2/5/3 Nature of Demand [footnoteRef:28] [28: 212 :11-12.]
1- Independent demand .
2- Dependent demand .
2/6 :[footnoteRef:29] [29: Sherif Hany Seif El Nasr, Bi-criteria Optimization to the Performance of the Inventory Management System, op. cit, p: 21.]
2/3 : 2/3
: Sherif Hany Seif El Nasr, Bi-criteria Optimization To The Performance Of The Inventory Management System, op. cit, p: 21.
. . 2/4 . .
2/4 Supply Chain Decesion Making Framwork
Supply Chain Decesion Making Framwork
: Sunil Chopra & Peter Meindl, Supply Chain Management Strategy, Planning & Operation Third Edition, Library of Congress Cataloging, US, 2007, p: 46-48.
2/7 [footnoteRef:30] [30: Sunil Chopra & Peter Meindl, Supply Chain Management Strategy, Planning & Operation Third Edition, op. cit., p: 24-32.]
:2/7/1 : .
2/7/2 :
.
2/8 : [footnoteRef:31] [31: 212 :6-7.]
2/8/1 : Inventory Management Warehousing Management . , .2/8/2 : :1- .2- .3- .4- .5- .[footnoteRef:32] [32: 211 :5 9-10.]
2/8/3 : :1. .2. .2/8/4 Inventory Control :[footnoteRef:33] [33: 267 :1-65.]
. . . .
2/9 [footnoteRef:34] [34: 2013 :136 -139.]
. .
.1. .2. .3. .4. .5. . 6. .7. .8. .9. .10. .11. .
/ ( * ).
.
/ .
2/10 : [footnoteRef:35] [35: 212 :15-19.]
:
2/10/1 Holding or Carrying Costs
1 Cost of Capital .
2- Cost of storage facilities . .
3- Cost of spoilage/obsolescence , , .
4- Cost of taxes and insurance .
5- Cost of Handling [footnoteRef:36] [36: Sherif Hany Seif El Nasr, Bi-criteria Optimization To The Performance Of The Inventory Management System, op. cit., p: 21. ]
.
[footnoteRef:37] [37: www.syrcs.org/articles/marketing/ART-022.pdf, Op. Cit.]
. 15% 20% 1000 150 200 . 1% 5% . . . 20% 25% 30%.
15% 25% . 1% . 3% 5% 15% 25% . 2/10/2 [footnoteRef:38] [38: Sherif Hany Seif El Nasr, Bi-criteria Optimization to the Performance of the Inventory Management System, op. cit., p: 23-24.]
:1- Buyer Time .
2- Transportation Costs .
3- Receiving Costs .4- Other Costs .
.
. .
2/10/3 Shortage Costs [footnoteRef:39] [39: Sherif Hany Seif El Nasr, Bi-criteria Optimization To The Performance Of The Inventory Management System, Op. Cit., p 24.]
. .
[footnoteRef:40] [40: www.syrcs.org/articles/marketing/ART-022.pdf, Op. Cit.]
. .
2/11 (Pull) (Push) [footnoteRef:41] [41: 2004:184-189.]
:
2/11/1 - Push : Made-to -stock. Manufacturing Resource Planning (MRPII) : . . . . .
: . .
2/11/2 - Pull: Made to order . Lean Manufacturing / Just In Time (JIT). : . Just In Time (JIT) (Pull) . Pull Push Pull..
:
. Push .
Push Pull . .
2/12 [footnoteRef:42] [42: Sherif Hany Seif El Nasr, Bi-criteria Optimization To The Performance Of The Inventory Management System, Op. Cit., p 41.]
:2/12/1 Inventory Turn Over [footnoteRef:43] : [43: 2013:211]
[footnoteRef:44] / = / [44: :476]
--------------
2/12/2 Stock-Outs .
2/12/3 Service Level : = -------------- . 2/12/4 Lead Time .
2/12/5 Stcok Cover .
2/13 :
Capital Cost :: . .
: .
. .
2/14 : [footnoteRef:45] [45: Kent N. Grourdin, Global Logistics Management, Op. Cit, p.72.]
:2/14/1 : ... .
2/14/2 (ABC Analysis )[footnoteRef:46] [46: - 153 :77-86.]
Wilfreno Pareton . 20%-80% 80% -20% 20% 80% 80% 20% :
(A): 20%-10% 70%-80% . . . (B) : 20%-30% 15%-20% . (C): 50%-70% 5%-10% . .
2/14/3 ( ) .
2/14/4 : .
2/14/5 : ...... (MRP)Material Requirments Planning (DRP ) Distribution Resource Planning .[footnoteRef:47] ... . [47: 266 :8-9.]
2/14/6 : Dell .
2/14/7 :[footnoteRef:48] [48: 268 , :8.]
. . . .
:
3/1 3/2 3/3 ( )
3/1 : [footnoteRef:49] [49: Nasser Mohamed Zaky, Logistics Management and Cost Reduction in Steel Plants, Arab Academy For Sciences & Technology And Maritime Transport, Institute of International Logistics, Egypt, April 2010, p.5-7.]
3/1/1 2% 1% .3/1/2 : (Blaste Furnace) (Oxygen Furnace) (Electric Arc Furnace) . 60% . 34% 2003 3/1 .
3/1/3 : 3500 75% . 25% . Long Steel Flat Steel . 3/1
Source: Nasser Mohamed Zaky, Logistics Management and Cost Reduction in Steel Plants, op. cit. p.6.
3/2 : 94.3% 86% 100% 80.3% 69% 89% 54% 22% 86% .1- : : (6) (3/1). (3/1) ( )
1. 80% .92
2. .100
3. .86
4. .100
5. () . 99
6. . 89
94.3
3/1: 92% 80% . 100% 2013 2013 .-91 -
86% . 100% . 99% . 89% .
2- : : (5) (3/2).
(3/2) ( )
1. .92
2. .80
3. .69
4. .86
5. .76
80.6
3/2:
92% . 80% . 69% . 86% . 76% . .
3- : : (12) (3/3).
(3/3) ( )
1- .86
2- .67
3- 81
4- .30
5- .52
6- .27
7- .44
8- .43
9- (ERP).57
10- .77
11- .22
12- 64
54
3/3: 86% . 67% . 81% . 30% . 52% . 27% . 44% . 43% . 57% Material Requirments Planning (MRP) Manufacturing Resouce Planning (MRPII) Enterprise Resouce Planning (ERP) . 77% . 22% . 64% . .
4- : : : . . . . . SAB. .
(Lead Time) . . Handling Equipment . . . . 5S . Oracle . First In First Out (FIFO) . .
3/3 ( ):
. :1- [footnoteRef:50]Material Requirment Planning (MRP) . . [50: : 208-]
2- Manufcturing Resource Planning (MRPII) MRP .3- Enterprise Resource Panning (ERP) MRPII Value Chain .
.
3/3/1 :
3/2 3/3 3/8.
3/4 ( + ) ( + ) 3/5 3/6 .
3/8 3/7 .
3/9 3/10.
.
3/2
k102
3/3
3/4
3/5
3/6
3/7
0000 3/8
3/9
3/10
Claims Status Report as of DD-MM-YYYY
Claim#MaterialP. O.#SupplierDateUnitQty.Claim DescriptionRecommended CompensationStatusReceived CompensationRemarks
TotalRec.DateRem.Invoice #
3/3/2 :
:
1. Dinamic Updates: . 2. A,B,C Analysis : .3. In-Transit Inventory : 80% ( ) .
4. Information Flow Velocity .5. Management Commitment ( ...).
3/3/3 - :
( ) :
3/3/3/1 2010 2010 :
3/3 2010 61% 11 % 27% . 3/4 2010 2010 3/3 . 3/3 2010
3/4 2010 2010
3/3/3/2 2010 2010 :
3/5 2010 65% 26 % 10% . 3/6 2010 2010 3/5 . 3/5 2010
3/6 2010 2010
3/3/3/3 2011 2011 :
3/7 2011 51% 29 % 20% . 3/8 2011 2011 3/7 .
3/7 2011
3/8 2011 2011
0000000
4.3.3 :
3/11
2010 334,153,950259,283,41774,870,53322%
2010334,153,950229,930,574104,223,37631%
2011334,153,950245,004,51589,149,43527%
%27
3/11 22% 2010 31% 2010 27% 2011 27% 3/4 3/6 3/8 .
.
:
4/1 4/2 4/3
4/1 :
:1- 60% .2- .3- 80% .4- 15% .5- .6- .7- .8- .9- .10- .
11- .12- .13- 80% .14- 27% .
4/2 :
: :
1- 212 .
2- " " () . 3- 267 .
4- 267 .
5- 268 .
6- 211 .
7- - 153 .
8- 266 .
9- - 213 .
10- 2013.
11- 2013.
12- 2004.
13- www.syrcs.org/articles/marketing/ART-022.pdf,
14- www.pmpyd.org.sa/pub/%20-%20%20.doc
15- http://edara-eg.net/new_page_14.htm__
: : 1- Ashokkumar N. & Manohar V. (2010). Liquidity Vs Profitability -A Case Study on Inventory Management of Cement Industry in Tamilnadu. Advances in Management Journal, 3, 56-60.2- ESR 2011 FY Consolidated Financials EN - Ezz Steel
3- Guido van Heck, BSc. ( 2009). Inventory Management Introducing A Framework to Asses Opertaional Performance . (Master Thesis). Delft University of Technology
4- http://www.managementstudyguide.com/inventory-management.htm
5- http://www.worldsteel.org/pictures/programfiles/Fact%20sheet_Raw%20materials.pdf
6- Jamshed J. Mistry, (2005),"Origins of profitability through JIT processes in the Supply Chain", Industrial Management & Data Systems, Vol. 105 Iss: 6 pp. 752 7687- Kim Dorling, John Scott, Eric Deakins, E. (2006). Determinants of successful vendor managed inventory relationships in oligopoly industries. International Journal of Physical Distribution & Logistics Management, 36, 176-191. 8- Kent N. Grourdin, Global Logistics Management, Blackwell Publishers Ltd, UK/USA, 2001.
9- Lining Bai and Ying Zhong. (2008). Improving Inventory Management in Small Business: A Case Study. (Masters thesis). Jonkoping International Business School. Jonkoping UNIVERSITY.
10- Musenga Francis Mpwanya,. (July 2005). Inventory management as a determinant for improvement of customer service. (Master of commerce).Faculty of Economic and Management Science at the University of Pretoria11- Nasser Mohamed Zaky, Logistics Management and Cost Reduction in Steel Plants, Arab Academy For Sciences & Technology And Maritime Transport, Institute of International Logistics, Egypt, April 2010.12- Pradip Kumar Bala. (2012). Improving inventory performance with clustering based demand forecasts. Journal of Modeling in Management, Vol. 7 Iss: 1 pp. 23 37.13- Prasanta Kumar Dey, (2001),"Re-engineering materials management: A case study on an Indian refinery", Business Process Management Journal, Vol. 7 Iss: 5 pp. 394 40814- Shaio Yan Huang, Shi-Ming Huang, Tung-Hsien Wu, Wen-kai Lin, (2009),"Process efficiency of the enterprise resource planning adoption", Industrial Management & Data Systems, Vol. 109 Iss: 8 pp. 1085 110015- Sherif Hany Seif El Nasr, Bi-criteria Optimization To The Performance Of The Inventory Management System, Arab Academy For Sciences & Technology And Maritime transport, Institute of International Logistics, unpublished Research. 16- Sunil Chopra & Peter Meindl, Supply Chain Management Strategy, Planning & Operation Third Edition, Library of Congress Cataloging, US, 2007.
17- Vedran Capkun, Ari-Pekka Hameri, Lawrence A. Weiss, (2009),"On the relationship between inventory and financial performance in manufacturing companies", International Journal of Operations & Production Management, Vol. 29 Iss: 8 pp. 789 806, Published in Business Process Management Journal.
18- 4th steel logistics Conference Belgium- Antwerp 21-22 September 2010 , Importance Of Supply Chain Efficiency During Steel Market Changes www.metalbulletin.com/events.
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562030
6
3838
15438
19154
128
103
106