volume 28 issue 9 pages 2808-2834

Can collaborative buffering strategies reduce distribution costs while improving product returns?: A case of an Asian e-retailer

Publication typeJournal Article
Publication date2021-03-25
scimago Q1
wos Q2
SJR1.102
CiteScore11.5
Impact factor4.4
ISSN14635771, 17584094
Strategy and Management
Business and International Management
Abstract
Purpose

In order to achieve competitive advantage over the physical marketplace, the e-retailers are insisted on endowing with lenient return policies. The piece-wise returns-and-reordering process incurs excessive buffering and unwanted logistics costs which raises overall fulfillment charges. The objective of this study is to re-design e-retail distribution policy by providing temporal storage at logistics service provides' (LSP) location. The impact of recurrent returns on pricing and profit margins are also investigated over time continuum.

Design/methodology/approach

A framework is developed to reduce the non-value added (NVA) storage and distribution efforts by providing collaborative buffering between LSP and e-retailer. The knapsack based buffering approach is tested and compared with traditional e-retail distribution practices. The revenue sharing concept is mathematically modelled and implemented in GAMS, which finally validated through multiple return scenarios.

Findings

The proposed model outperforms the existing one under all scenarios with different configuration settings of re-ordering, profit margins, and buffer time windows. The distribution cost is found, linearly related to the necessary product buffering space. The findings help to re-design sustainable return policies for individual products so that maximum customer value can be yield with minimum costs.

Research limitations/implications

This study helps to determine the NVA efforts incurred while storing and delivering multi-time returned products to ensure desired service levels. The revenue sharing model provides pricing strategies for e-retail practitioners deciding which product should store in what quantity for how much time at the shipping agency location so that it fulfils the re-ordering at least waiting and sufficient buffering.

Originality/value

The proposed model extends the role of LPSs as temporary buffer providers to reduce returns-and-reordering fulfilment efforts in the e-retail network. This Collaborative framework offers an opportunity to amend the distribution contracts and policies time by time that enhances e-retailer's performance and customer satisfaction.

Found 
Found 

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GOST |
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GOST Copy
Singh G. Can collaborative buffering strategies reduce distribution costs while improving product returns?: A case of an Asian e-retailer // Benchmarking. 2021. Vol. 28. No. 9. pp. 2808-2834.
GOST all authors (up to 50) Copy
Singh G. Can collaborative buffering strategies reduce distribution costs while improving product returns?: A case of an Asian e-retailer // Benchmarking. 2021. Vol. 28. No. 9. pp. 2808-2834.
RIS |
Cite this
RIS Copy
TY - JOUR
DO - 10.1108/BIJ-09-2020-0478
UR - https://www.emerald.com/insight/content/doi/10.1108/BIJ-09-2020-0478/full/html
TI - Can collaborative buffering strategies reduce distribution costs while improving product returns?: A case of an Asian e-retailer
T2 - Benchmarking
AU - Singh, Gaganpreet
PY - 2021
DA - 2021/03/25
PB - Emerald
SP - 2808-2834
IS - 9
VL - 28
SN - 1463-5771
SN - 1758-4094
ER -
BibTex |
Cite this
BibTex (up to 50 authors) Copy
@article{2021_Shah,
author = {Gaganpreet Singh},
title = {Can collaborative buffering strategies reduce distribution costs while improving product returns?: A case of an Asian e-retailer},
journal = {Benchmarking},
year = {2021},
volume = {28},
publisher = {Emerald},
month = {mar},
url = {https://www.emerald.com/insight/content/doi/10.1108/BIJ-09-2020-0478/full/html},
number = {9},
pages = {2808--2834},
doi = {10.1108/BIJ-09-2020-0478}
}
MLA
Cite this
MLA Copy
Shah, Bhavin M., et al. “Can collaborative buffering strategies reduce distribution costs while improving product returns?: A case of an Asian e-retailer.” Benchmarking, vol. 28, no. 9, Mar. 2021, pp. 2808-2834. https://www.emerald.com/insight/content/doi/10.1108/BIJ-09-2020-0478/full/html.