The Impact of Automatic Store Replenishment on Retail: Technologies and Concepts for the Out-of-Stocks Problem

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Springer Science & Business Media, Dec 15, 2007 - Business & Economics - 210 pages
Fast moving consumer goods retailing is a highly competitive market. European retailers are continuously aiming to improve customer loyalty by offering good service. At the same time, they are struggling to reduce costs in order to stay competitive. One technology that promises to decrease the number of out-of-stocks while simultaneously reducing store handling costs is automatic store replenishment (ASR). At the heart of ASR systems lies software that automatically places an order to replenish stocks. Many European grocery retailers have started to implement such decision support systems. Surprisingly, although several retailers have automated their order process in the last few years, there is almost no academic source examining this topic at the level of the store. It is worth noting that other technologies In retail, such as RFID (Radio Frequency Identification) and the introduction of the barcode, have received far greater attention from the public and from researchers. Furthermore, while the topic of extent and root-causes of retail out-of-stock has received substantial interest over the course of the last years, the question to what extent existing and new practices remedy OOS is largely unanswered. In particular, there is a debate whether ASR improve or worsen OOS. Therefore, Dr. Alfred Angerer has well chosen a topic of both managerial and academic relevance.
 

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Very Good book for ASR

Contents

Table of Contents
1
The importance of logistics for different industries
2
Percentage of logistics costs on total costs by industry in 9
3
ASRx Automatic Store Replenishment System level
5
Overview of research deficits
12
Thesis structure
15
Research Framework and Design
16
Integrative research procedure
19
Overview of hypotheses store characteristics
84
Quantitative Analysis
85
Distribution of the 84 products in Dataset1
88
Overview of variables used in the analysis
90
Product characteristics of Dataset1 by replenishment system
91
Comparison of the replenishment systems by store
92
Inventory range of coverage of Dataset1
93
Dataset for the pretestposttest
94

Case study research as iterative process between theory and empiricism
22
Research activities in this research project
23
Literature Research
26
DSD Direct Store Delivery
33
Figure
34
Implementation of ARPrelated items
35
Effectiveness in achieving automatic replenishmentrelated goals
36
Information systems capabilities
37
HQ Headquarters
41
Spectrum of misfit resolution strategies
44
Table
45
Figure
47
Summary of research streams perspectives
52
Development of Models
53
Descriptive model of replenishment systems
54
Inventory notations
55
Exemplary time dependent course of the inventory stock level
56
Basic inventory decision rules
57
Exemplary order restrictions
60
Qualitative and quantitative forecasting techniques
62
TEM Institute for Technology Management
63
Classification of automatic replenishment systems
65
Characteristics of automatic replenishment levels
68
OOS OutOfStock
69
Overview of hypotheses concerning product characteristics
77
Overview of hypotheses concerning store characteristics
81
Overview of hypotheses product characteristics
83
Descriptive statistics of the dairy products ASR3 and Control1 group ASRO
95
Descriptive statistics of the beauty and household group ASR2 and Control2 ASR0
97
Figure 17 Estimated OOS orderrelated rate by sales coefficient of variance
100
ASR level and sales coefficient of variance ANOVA on inventory range of coverage
101
Estimated inventory range of coverage by sales coefficient of variance
102
Estimated OOS orderrelated rate by speed of turnover
103
Estimated inventory range of coverage by speed of turnover
104
Estimated OOS orderrelated rate by price
105
Estimated inventory range of coverage by price
106
Estimated OOS orderrelated rate by CUTU group
107
Estimated Inventory range of coverage by case pack
108
Estimated OOS orderrelated rate by product size
109
Estimated inventory range of coverage by product size
110
Estimated OOS orderrelated rate by shelf life
111
Estimated inventory range of coverage by shelf life
112
Estimated OOS orderrelated rate by store
114
Estimated inventory range of coverage by store
115
Estimated inventory coefficient of variance by store
116
Relationship between shrinkage and OOS
117
Relationship of OOS and SKU density
118
working in the store
119
Field Research and Managerial Implications
132
PC Personal Computer
147
Appendix and References
189
POS Point Of Sales
197
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About the author (2007)

Dr. Alfred Angerer ist wissenschaftlicher Assistent bei Prof. Dr. Daniel Corsten am Kühne-Institut für Logistik der Universität St. Gallen.

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