Joint replenishment problem with quantity discounts
In the joint replenishment process, suppliers tend to provide various kinds of quantity discounts to retailers and it could result in some substantial cost saving. Previous studies have realized the importance of quantity discounts in joint replenishment problems and resear...
| Main Author: | |
|---|---|
| Format: | Dissertation (University of Nottingham only) |
| Language: | English |
| Published: |
2020
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| Online Access: | https://eprints.nottingham.ac.uk/62451/ |
| _version_ | 1848799954996297728 |
|---|---|
| author | Wang, Feifei |
| author_facet | Wang, Feifei |
| author_sort | Wang, Feifei |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | In the joint replenishment process, suppliers tend to provide various
kinds of quantity discounts to retailers and it could result in some
substantial cost saving. Previous studies have realized the
importance of quantity discounts in joint replenishment problems and
researches have paid the most attention to the JRP and JRP of a single
product with multi quantity discounts or multi-products with a single
quantity discount. However, they ignored the fact that in reality,
suppliers will offer different kinds of quantity discounts for different
products in the joint replenishment and vendors would not only buy
one kind of product from suppliers. Therefore, this dissertation aims
at finding the effects of different quantity discounts on multi-item
joint replenishment.
In the dissertation, the mathematical JRP model, considering two
mainly used discounts: the all-unit discount, the incremental discount,
is constructed to build the connection between the total cost,
replenishment time intervals and order frequencies. After that, the
corresponding heuristic algorithms are proposed to solve the model
and find the optimal solutions, minimum total cost, for JRP under
different discounts. A computational experiment with a case of five
products is made to find the features and differences of JRP with
different quantity discounts.
The results of this study make contributions to the gap in the
literature. Also, it has the practical value that suppliers and retailers
could utilize one model or algorithms to obtain the optimal solution
and make a proper decision under different quantity discounts,
instead of transforming between different models. And the
summarized characteristics and differences can help people better
understand when to use different quantity discounts. |
| first_indexed | 2025-11-14T20:43:53Z |
| format | Dissertation (University of Nottingham only) |
| id | nottingham-62451 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T20:43:53Z |
| publishDate | 2020 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-624512023-04-13T13:01:41Z https://eprints.nottingham.ac.uk/62451/ Joint replenishment problem with quantity discounts Wang, Feifei In the joint replenishment process, suppliers tend to provide various kinds of quantity discounts to retailers and it could result in some substantial cost saving. Previous studies have realized the importance of quantity discounts in joint replenishment problems and researches have paid the most attention to the JRP and JRP of a single product with multi quantity discounts or multi-products with a single quantity discount. However, they ignored the fact that in reality, suppliers will offer different kinds of quantity discounts for different products in the joint replenishment and vendors would not only buy one kind of product from suppliers. Therefore, this dissertation aims at finding the effects of different quantity discounts on multi-item joint replenishment. In the dissertation, the mathematical JRP model, considering two mainly used discounts: the all-unit discount, the incremental discount, is constructed to build the connection between the total cost, replenishment time intervals and order frequencies. After that, the corresponding heuristic algorithms are proposed to solve the model and find the optimal solutions, minimum total cost, for JRP under different discounts. A computational experiment with a case of five products is made to find the features and differences of JRP with different quantity discounts. The results of this study make contributions to the gap in the literature. Also, it has the practical value that suppliers and retailers could utilize one model or algorithms to obtain the optimal solution and make a proper decision under different quantity discounts, instead of transforming between different models. And the summarized characteristics and differences can help people better understand when to use different quantity discounts. 2020-12-01 Dissertation (University of Nottingham only) NonPeerReviewed application/pdf en https://eprints.nottingham.ac.uk/62451/1/20140790%20BUSI4083%20Joint%20replenishment%20problem%20with%20quantity%20discounts%20.pdf Wang, Feifei (2020) Joint replenishment problem with quantity discounts. [Dissertation (University of Nottingham only)] |
| spellingShingle | Wang, Feifei Joint replenishment problem with quantity discounts |
| title | Joint replenishment problem with quantity discounts |
| title_full | Joint replenishment problem with quantity discounts |
| title_fullStr | Joint replenishment problem with quantity discounts |
| title_full_unstemmed | Joint replenishment problem with quantity discounts |
| title_short | Joint replenishment problem with quantity discounts |
| title_sort | joint replenishment problem with quantity discounts |
| url | https://eprints.nottingham.ac.uk/62451/ |