Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Improving forecasting capabilities in the 3PL industry

Ayiomamitou, Nicole 2016. Improving forecasting capabilities in the 3PL industry. MPhil Thesis, Cardiff University.
Item availability restricted.

[img]
Preview
PDF - Accepted Post-Print Version
Download (3MB) | Preview
[img] PDF - Supplemental Material
Restricted to Repository staff only

Download (729kB)

Abstract

Most logistics companies reply on their customers inventory to make money - the more inventory their customers have, the more warehouse storage space the third party logistics providers can sell. Inventories constitute financial resources that are tied up and cannot be used (invested) elsewhere. The case organization involved in this project, a logistics and freight forwarding company, decided that this was not the best approach for their customers. This motivated the launch of a research project within Cardiff University, to develop an approach to help customes better manage and if possible reduce inventory levels in their supply chains. An inventory planning and optimization modelling tool has been developed to help the company's customers classify their products, forecast their demand and optimize their inventory levels subject to service level considerations. Forecasting and inventory control should be directly integrated for avoiding major issues that current supply chains are facing (ie. over-stocking, associated with unnecessary financial committments, or under-stocking, associated with poor service levels offered to the customers). The project consists of two phases, reflecting current priorities of the case organization: i) spare parts foreasting and inventory control; ii) new products forecasting and life cycle management. The implementation and evaluation of the current state-of-the-art in inventory forecasting and stock contol provides stakeholders with the opportunity to reduce holding costs whilst having the right product at the right level of inventory at the right time.

Item Type: Thesis (MPhil)
Status: Unpublished
Schools: Business (Including Economics)
Subjects: H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management
Date of First Compliant Deposit: 8 March 2017
Last Modified: 04 Jun 2017 09:44
URI: http://orca.cf.ac.uk/id/eprint/98682

Actions (repository staff only)

Edit Item Edit Item

Downloads

Downloads per month over past year

View more statistics