Retail analytics: integrated forecasting and inventory management for perishable products in retailing
Saved in:
| Main Author: | |
|---|---|
| Format: | Thesis Book |
| Language: | English |
| Published: |
Cham [u.a.]
Springer
2015
|
| Series: | Lecture notes in economics and mathematical systems
680 |
| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Item Description: | Includes bibliographical references and index |
| Physical Description: | XVII, 111 S. graph. Darst. 24 cm |
| ISBN: | 9783319133041 |
Staff View
MARC
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| 100 | 1 | |a Sachs, Anna-Lena |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Retail analytics |b integrated forecasting and inventory management for perishable products in retailing |c Anna-Lena Sachs |
| 264 | 1 | |a Cham [u.a.] |b Springer |c 2015 | |
| 300 | |a XVII, 111 S. |b graph. Darst. |c 24 cm | ||
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| 490 | 1 | |a Lecture notes in economics and mathematical systems |v 680 | |
| 500 | |a Includes bibliographical references and index | ||
| 502 | |a Zugl.: München, Techn. Univ., Diss., 2014 | ||
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| adam_text | Contents
1
Introduction
.................................................................. 1
1.1 Motivation...............................................................
ł
1.2 Problem Statement...................................................... 2
1.3 Outline................................................................... 3
2
Literature
Review............................................................ 5
2.1
Unobservable Lost Sales
................................................ 5
2.2
Assortment Planning
.................................................... 6
2.3
Assortment Planning with Stockout-Based Substitution
.............. 7
2.4
Stockout-Based Substitution in a Fixed Assortment
.................. 9
2.5
Joint Pricing and Inventory Planning with Substitution
............... 10
2.6
Behavioral Operations Management
................................... 10
3
Safety Stock Planning Under Causal Demand Forecasting
............. 13
3.1
Introduction
............................................................. 13
3.2
Safety Stock Basics and Least Squares Estimation
.................... 15
3.2.1
The Single-Variable Case
....................................... 16
3.2.2
The Multi-Variable Case
....................................... 18
3.2.3
Violations of Ordinary Least Squares Assumptions
.......... 18
3.3
Data-Driven Linear Programming
...................................... 19
3.3.1
The Cost Model
................................................. 20
3.3.2
The Service Level Model
....................................... 20
3.4
Numerical Examples
.................................................... 21
3.4.1
Sample Size Effects
............................................. 26
3.4.2
Violations of OLS Assumptions
................................ 27
3.4.3
Real Data
........................................................ 31
3.5
Conclusions
............................................................. 33
4
The
Data-Driven Newsvendor
with Censored
Demand Observations
....................................................... 35
4.1
Introduction
............................................................. 35
4.2
Related Work
............................................................ 36
Contents
4.3
Data-Driven
Model
with Unobservable Lost Sales Estimation
....... 37
4.3.1
Cost Model
...................................................... 38
4.3.2
Benchmark Approaches
........................................ 41
4.4
Numerical Examples
.................................................... 43
4.4
Л
The Normal Distribution
....................................... 44
4.4.2
The Negative Binomial Distribution
........................... 48
4.4.3
Sample Size Effects
............................................. 51
4.4.4
Real Data
........................................................ 52
4.5
Conclusions
............................................................. 55
Data-Driven Order Policies with Censored Demand and
Substitution in Retailing
.................................................... 57
5.1
Motivation
............................................................... 57
5.2
Related Work
............................................................ 58
5.3
Model
.................................................................... 60
5.3.1
Data
.............................................................. 60
5.3.2
Decisions
..................................................,..... 61
5.3.3
Objective Function
.............................................. 62
5.3.4
Known Demand with Stockout Observations
of One Product
.................................................. 62
5.3.5
Censored Demand
.............................................. 64
5.4
Numerical Study and Empirical Analysis
.............................. 68
5.4.1
Benchmark to Estimate Arrival Rates
and Substitution Probabilities
.................................. 68
5.4.2
Optimal Solution
................................................ 70
5.4.3
Data Generation
................................................. 72
5.5
Results
................................................................... 72
5.5.1
Known Demand with Stockout Observations
of One Product
.................................................. 72
5.5.2
Censored Demand with Stockout Observations
of One Product
.................................................. 73
5.5.3
Censored Demand with Stockout Observations
of Both Products
................................................ 74
5.5.4
Real Data
........................................................ 75
5.6
Conclusions
............................................................. 78
Empirical Newsvendor Decisions Under a Service Level Contract
___ 79
6.1
Introduction
............................................................. 79
6.2
The Setting
.............................................................. 81
6.2.1
Data Overview
.................................................. 82
6.3
Modeling Demand
...................................................... 84
6.4
Normative Decision Model
............................................. 86
6.4.1
Product-Specific Service Level
................................ 86
6.5
Empirical Analysis
...................................................... 88
6.5.1
Expected Profit Maximization
................................. 89
6.5.2
Alternative Decision Models
................................... 91
Contents
χί
6.5.3
Comparison of Alternative Decision Models
with the Empirical Retailer
..................................... 93
6.6
Additional Behavioral Aspects of Decision Making
.................. 94
6.6.1
Anchoring and Adjustment
..................................... 94
6.6.2
Minimizing Ex-Post Inventory Error
.......................... 95
6.6.3
Order Adaptation and Demand Chasing
....................... 96
6.7
Value of Product Characteristics: Managerial Insights
................ 100
6.8
Conclusions
............................................................. 101
7
Conclusions
................................................................... 103
7.1
Summary
................................................................ 103
7.2
Limitations and Future Research Directions
........................... 105
Bibliography
...................................................................... 107
|
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| author_facet | Sachs, Anna-Lena |
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| discipline | Arbeitswissenschaften Wirtschaftswissenschaften |
| format | Thesis Book |
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| id | DE-604.BV042272151 |
| illustrated | Illustrated |
| indexdate | 2025-02-20T06:41:27Z |
| institution | BVB |
| isbn | 9783319133041 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-027709692 |
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| physical | XVII, 111 S. graph. Darst. 24 cm |
| publishDate | 2015 |
| publishDateSearch | 2015 |
| publishDateSort | 2015 |
| publisher | Springer |
| record_format | marc |
| series | Lecture notes in economics and mathematical systems |
| series2 | Lecture notes in economics and mathematical systems |
| spellingShingle | Sachs, Anna-Lena Retail analytics integrated forecasting and inventory management for perishable products in retailing Lecture notes in economics and mathematical systems Lebensmitteleinzelhandel (DE-588)4034878-7 gnd Nachfrage (DE-588)4041036-5 gnd Prognoseverfahren (DE-588)4358095-6 gnd Bestandsmanagement (DE-588)4423366-8 gnd |
| subject_GND | (DE-588)4034878-7 (DE-588)4041036-5 (DE-588)4358095-6 (DE-588)4423366-8 (DE-588)4113937-9 |
| title | Retail analytics integrated forecasting and inventory management for perishable products in retailing |
| title_auth | Retail analytics integrated forecasting and inventory management for perishable products in retailing |
| title_exact_search | Retail analytics integrated forecasting and inventory management for perishable products in retailing |
| title_full | Retail analytics integrated forecasting and inventory management for perishable products in retailing Anna-Lena Sachs |
| title_fullStr | Retail analytics integrated forecasting and inventory management for perishable products in retailing Anna-Lena Sachs |
| title_full_unstemmed | Retail analytics integrated forecasting and inventory management for perishable products in retailing Anna-Lena Sachs |
| title_short | Retail analytics |
| title_sort | retail analytics integrated forecasting and inventory management for perishable products in retailing |
| title_sub | integrated forecasting and inventory management for perishable products in retailing |
| topic | Lebensmitteleinzelhandel (DE-588)4034878-7 gnd Nachfrage (DE-588)4041036-5 gnd Prognoseverfahren (DE-588)4358095-6 gnd Bestandsmanagement (DE-588)4423366-8 gnd |
| topic_facet | Lebensmitteleinzelhandel Nachfrage Prognoseverfahren Bestandsmanagement Hochschulschrift |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027709692&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| volume_link | (DE-604)BV000000036 |
| work_keys_str_mv | AT sachsannalena retailanalyticsintegratedforecastingandinventorymanagementforperishableproductsinretailing |
Indexes
THWS Würzburg Zentralbibliothek Lesesaal
| Call Number: |
1000 QP 530 S121 |
|---|---|
| Copy 1 | ausleihbar Available Place a Hold |