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Stock Optimisation for an online business offering niche products

Mini Dissertation (B Eng. (Industrial and Systems Engineering))--University of Pretoria, 2018.

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Main Author: Maringa, Palesa
Format: Thesis
Language:English
English
Published: University of Pretoria. Faculty of Engineering, Built Environment and Information Technology. Dept. of Industrial and Systems Engineering 2019
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access_status_str Open Access
author Maringa, Palesa
author_browse Maringa, Palesa
author_facet Maringa, Palesa
author_sort Maringa, Palesa
collection Thesis
dc_rights_str_mv © 2018 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria.
description Mini Dissertation (B Eng. (Industrial and Systems Engineering))--University of Pretoria, 2018.
format Thesis
id oai:repository.up.ac.za:2263/68362
institution University of Pretoria (South Africa)
language English
English
last_indexed 2026-06-10T12:40:20.497Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository
publishDate 2019
publishDateRange 2019
publishDateSort 2019
publisher University of Pretoria. Faculty of Engineering, Built Environment and Information Technology. Dept. of Industrial and Systems Engineering
publisherStr University of Pretoria. Faculty of Engineering, Built Environment and Information Technology. Dept. of Industrial and Systems Engineering
record_format dspace
source_str UPSpace — University of Pretoria Institutional Repository
spelling oai:repository.up.ac.za:2263/68362 Stock Optimisation for an online business offering niche products Maringa, Palesa Mini-dissertations (Industrial and Systems Engineering) Mini Dissertation (B Eng. (Industrial and Systems Engineering))--University of Pretoria, 2018. ABC Company is a retail business that offers a wide range of niche products. The company is an online business and delivers its products to customers nationwide via a courier. The customers peruse the products on the company’s website and select the products that they wish to purchase, they then proceed to make an online payment and the products are delivered to them within four days. A key performance area for the company is inventory management because they pride themselves in having difficult to source products readily available. The purpose of this document is to define the problem that the company is currently experiencing and to develop a solution for the company. The solution is based on a literature review that was conducted on inventory management. The problem that the company is facing is that they do not have a formal stock process to manage their inventory. As a result, they have an oversupply of some products and an undersupply of other products. The oversupply of the items causes the company to have high carrying costs and the undersupply causes the company to order products frequently which leads to high ordering costs. In essence, not having a formal stock process has caused the company to have high inventory costs and frequent stock outs have led to unsatisfied customers. Two models (part A and part B) were formulated and built on MS Excel in order to solve the problem. Part A was the forecast model using multiple linear regression and part B was an inventory model using linear programming. The forecast model will predict the customer demand and will take into consideration the seasonality and trend that exists in the demand. The linear programming inventory model will take the demand and inventory costs as an input and will give as an output the size of the order and when to place the order. 2019-02-01T09:48:07Z 2019-02-01T09:48:07Z 2018 2018 Mini Dissertation http://hdl.handle.net/2263/68362 en en © 2018 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. PDF application/pdf University of Pretoria. Faculty of Engineering, Built Environment and Information Technology. Dept. of Industrial and Systems Engineering
spellingShingle Mini-dissertations (Industrial and Systems Engineering)
Maringa, Palesa
Stock Optimisation for an online business offering niche products
title Stock Optimisation for an online business offering niche products
title_full Stock Optimisation for an online business offering niche products
title_fullStr Stock Optimisation for an online business offering niche products
title_full_unstemmed Stock Optimisation for an online business offering niche products
title_short Stock Optimisation for an online business offering niche products
title_sort stock optimisation for an online business offering niche products
topic Mini-dissertations (Industrial and Systems Engineering)
url http://hdl.handle.net/2263/68362
work_keys_str_mv AT maringapalesa stockoptimisationforanonlinebusinessofferingnicheproducts