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Using Transactions Data to Improve Consumer Returns Forecasting · Study

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ArticleUsing Transactions Data to Improve Consumer Returns Forecasting

Guangzhi Shang2019

OA

Articlegreen2019

Using Transactions Data to Improve Consumer Returns Forecasting

Guangzhi Shang · Erin C. McKie · Mark E. Ferguson · Michael R. Galbreth

46 citations·0/0 files stored·Journal of Operations Management

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Supply Chain and Inventory Management Sustainable Supply Chain Management Forecasting Techniques and Applications

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References

1997Quantitative models for reverse logistics: A review 2017Automatic time series forecasting: the forecast package for R 2015A literature review and perspectives in reverse logistics 1997Manufacturer's Return Policies and Retail Competition 2008Database Paper—The IRI Marketing Data Set 2000Inventory Management of Remanufacturable Products 2002Building contingency planning for closed‐loop supply chains with product recovery 2006Time Value of Commercial Product Returns

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2018Where Should I Focus My Return Reduction Efforts? Empirical Guidance for Retailersarticle · 14 shared references 2021Understanding product returns: A systematic literature review using machine learning and bibliometric analysisreview · 10 shared references 2018The impact of abusing return policies: A newsvendor model with opportunistic consumersarticle · 9 shared references 2018Markov chain modeling and forecasting of product returns in remanufacturing based on stock mean-agearticle · 9 shared references 2009Issues in reverse supply chain, part III: classification and simple analysisarticle · 7 shared references 2014The Reverse Supply Chain Planning Matrix: A Classification Scheme for Planning Problems in Reverse Logisticsarticle · 7 shared references

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Year2019

Typearticle

Published2019-01-01

VenueJournal of Operations Management

ISSN-L0272-6963

Languageen

Citations46

Files0 public / 0

ShelfSupply Chain and Inventory Management

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doi10.1002/joom.1071

openalex_workW2992392140

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