Thailand might be a new potential market for IKEA The first store in Thailand will be opened by October 2011 (Bangkok Post Newspaper, 2009) strategy by dealing with data collection in terms of depth interview, focus groups sessions,
Previous PDF | Next PDF |
[PDF] Nouvelle collection 2011 - IKEA
Nouvelle collection 2011 Le mois d'août marquera l'arrivée du catalogue IKEA 2011 Cette édition logue, la collection IKEA 2011 dévoile quatre nouvelles
[PDF] 2011 New Collection - IKEA
The 2011 IKEA catalogue, arriving this August, tells the story of these designs, anniversary, the 2011 IKEA Collection highlights four new trends - Blue
[PDF] IKEA collection Hiver 2011
IKEA, collection Hiver 2011 et repartons de plus belle pour une nouvelle année aux La nouvelle saison, c'est aussi le plaisir de détourner l'ordinaire pour
[PDF] MAY 2011 - IKEA
New REIDAR chairs and BERNHARD in new colours 14 Summer colours This season's colour collection 23 Sustainable LED An introduction to IKEA LED
[PDF] Ikea Catalogue 2003 - Largest PDF Library
download mediafire links free download download ikea catalogue 2011 ikea tries to outdo itself each year with a new set of cool designs from its stables
[PDF] ANNEXE 2 - Extraits de presse - AUNEGE
27 avr 2011 · Ikea augmente légèrement sa part de marché Le 15 juin 2011 A l'occasion de la présentation des nouvelles collections qui arriveront en
[PDF] JUIN 2011 - IKEA
Une nouvelle série de sièges à confort et qualité haut de de contact 2 news JUIN 2011 plantation et de la durabilité: la collection TORVA Les caractères et
[PDF] FRAMTID - Whirlpool Docs
be reported to IKEA After Sales Service as soon as possible supplied with the new appliance; do not reuse that of the collection centre; do not leave the appliance unattended normal in the new country Inter IKEA Systems B V 2011
[PDF] The Evaluation of IKEAs Market Opportunity in Thailand - DiVA
Thailand might be a new potential market for IKEA The first store in Thailand will be opened by October 2011 (Bangkok Post Newspaper, 2009) strategy by dealing with data collection in terms of depth interview, focus groups sessions,
[PDF] TROIS COURANTS ÉMANENT DE LA COLLECTION IKEA 2009
[PDF] Nouvelle collection 2011 - Ikea
[PDF] PDF Collection IKEA PS 2012
[PDF] Catalogue - Isover
[PDF] catalogue 2017 - groupe FBD
[PDF] catalogue 2017 - groupe FBD
[PDF] Guide des déchets industriels - CGEM
[PDF] Catalogue 2016 - 2017 - Fournisseur-medicalcom
[PDF] catalogue general - Menuiseries Bouvet
[PDF] Le catalogue 2016 - A chacun son meuble
[PDF] Le catalogue 2016 - A chacun son meuble
[PDF] mondiapic loisirs vacances passion
[PDF] NOUVELLE COLLECTION 2012
[PDF] pax komplement - Ikea
JÖNK ÖPING IN TER NATI ONAL BUSINE SS SCHO O L
JÖNKÖPING UNIVERSITY
Forecasting System at
Master thesis within International Logistics and Supply Chain Management Author: Mahir Dugic Daniel Zaulich Tutor: Susanne Hertz Hamid Jafari
Master´s Thesis in Business Administration
Author: Mahir Dugic, Daniel Zaulich
Tutor: Professor Susanne Hertz
Date: May 2011
Key words: Demand, forecasting, forecasting system, key performance indicators, retailing, supply chain managementAbstract
data collection was based on interviews with a total of 6 people working at IKEASupport division (SSS).
From the empirical study several problems were identified linked with the performance of the forecasting. Problems with understanding the initial forecast from IOS were identified and this was because of lack of information about demand. SSS also wanted to know their local market in a better way this to be able to make more with forecasting wanted a closer collaboration between SSS, sales and the logistics department also wanted to have better information exchange. using and gives suggestions to solve the problems mentioned above. We have highlighted the importance of having a closer collaboration between IOS and IKEA Furthermore we have explained the importance of creating guidelines and routines regarding the forecasts and the flow of information. By considering our solutions presented in this thesis we think that the problems addressed above could be managed and hopefully lead towards a better forecastingContents
1 Introduction ............................................................................... 1
1.1 BACKGROUND .......................................................................................................... 1
1.2 PROBLEM DEFINITION .............................................................................................. 2
1.3 PURPOSE ................................................................................................................... 2
1.4 RESEARCH QUESTIONS .............................................................................................. 2
1.5 DELIMITATIONS ........................................................................................................ 3
1.6 OUTLINE OF THE THESIS ........................................................................................... 3
2 Frames of Reference ................................................................... 4
2.1 SUPPLY CHAIN MANAGEMENT IN RETAILING ...................................................................... 4
2.1.1 Retailing ............................................................................................................................ 5
2.1.2 Stockout ............................................................................................................................. 6
2.1.3 Demand management ......................................................................................................... 6
2.1.4 Inventory management ........................................................................................................ 8
2.1.5 Warehousing cost ................................................................................................................ 8
2.1.6 Classification of customers and products .............................................................................. 8
2.2 POSTPONEMENT AND SPECULATION .................................................................................... 9
2.3 FORECASTING ........................................................................................................................ 10
2.3.1 Data collection for forecasting ............................................................................................ 11
2.3.2 Working with forecasts ..................................................................................................... 12
2.3.3 Forecasting techniques ....................................................................................................... 14
2.4 CHOOSING FORECASTING METHOD .................................................................................... 15
2.5 PERFORMANCE MEASUREMENT AND KEY PERFORMANCE INDICATORS ........................ 16
2.5.1 Forecasting performance and accuracy ................................................................................ 17
2.6 SUMMARY OF THE FRAME OF REFERENCE .......................................................................... 18
3 Methodology ............................................................................ 20
3.1 CHOICE OF METHOD ............................................................................................... 20
3.2 CASE STUDY ............................................................................................................ 20
3.3 DATA COLLECTION ................................................................................................. 20
3.3.1 Primary and secondary data ................................................................................. 21
3.3.2 Observations ..................................................................................................... 21
3.3.3 Interview ........................................................................................................... 22
3.4 DATA ANALYSIS ...................................................................................................... 22
3.5 THE INTERVIEW AND OBSERVATION PROCESS ......................................................... 22
3.6 RELIABILITY AND VALIDITY .................................................................................... 23
4 Empirical study ........................................................................ 25
4.1 HISTORY & FACTS ................................................................................................................. 25
4.1.1 Home furniture market in Sweden .................................................................................... 25
4.1.2 IKEA in southern Sweden ............................................................................................... 25
4.2 IKEA JÖNKÖPING ................................................................................................................ 26
4.3 IKEA OF SWEDEN ................................................................................................................ 27
4.3.1 Working with forecasts ..................................................................................................... 28
4.3.2 Initial forecast for new products ......................................................................................... 28
4.3.3 Key performance indicators ................................................................................................ 29
4.4 FORECASTING SYSTEMS AT IKEA JÖNKÖPING ................................................................. 29
4.4.1 Maintaining Stock levels .................................................................................................. 30
4.4.2 Initial forecast for new products ......................................................................................... 31
4.4.3 Working with SRS .......................................................................................................... 31
4.5 PERFORMANCE MEASUREMENTS ......................................................................................... 32
4.6 PROBLEMS ............................................................................................................................... 32
5 Analysis .................................................................................... 34
5.1 WHAT KIND OF FORECASTING SYSTEM IS IKEA JÖNKÖPING USING TODAY? ............. 34
5.2 WHAT ARE THE PROBLEMS WITH THE CURRENT FORECASTING? .................................... 34
5.2.1 Sale Supply Support and IKEA of Sweden ...................................................................... 35
5.2.2 Sale Supply Support and the local market ......................................................................... 35
5.2.3 Sale Supply Support and the department of sales and logistics ............................................ 36
5.3 WHAT KIND OF SOLUTIONS COULD BE INDICATED TO IMPROVE THE FORECASTING
SYSTEM? ............................................................................................................................................ 37