Author
Abstract
In a rapidly evolving market landscape characterised by volatile demand and intricate supply chain dynamics, effective inventory management is paramount for ensuring robust cash flow and overall financial sustainability. This paper presents the Part C Squared Model, a strategic framework aimed at optimising inventory levels while simultaneously strengthening cash flow through four essential pillars: predictability, availability, resiliency and transparent linearity, all directed towards the dual objectives of cash and cost efficiency. Each pillar is fortified by sophisticated statistical methodologies and comprehensive supplier management practices, facilitating a systematic approach to inventory oversight. Illustrative application of this model across different manufacturing type units demonstrated potential for notable decreases in raw material inventory (over US$300m to under $250m range). The integration of cutting-edge digital technologies, including interconnected enterprise resource planning (ERP) systems and real-time data analytics, enabled enhanced visibility and agility in response to market fluctuations. Key performance indicators (KPIs) were established to monitor inventory health and cash conversion metrics, yielding a holistic perspective of operational efficacy. Despite significant inventory reductions, resulting cash flow improvements remained modest (approximately US$2m growth). This finding underscores the intricate interplay between inventory optimisation and cash flow dynamics, highlighting the necessity for alignment among inventory strategies, sales velocity and payment terms. The insights derived from this study based on a simulated implementation emphasise the importance of a comprehensive approach to supply chain management, positioning inventory optimisation as a critical lever for enhancing cash flow. This paper not only enriches theoretical discourse in supply chain management but also offers pragmatic implications for organisations navigating the complexities of contemporary inventory challenges. This article is also included in The Business & Management Collection which can be accessed at https://hstalks.com/business/.
Suggested Citation
Download full text from publisher
As the access to this document is restricted, you may want to
for a different version of it.
More about this item
Keywords
;
;
;
;
;
JEL classification:
- L23 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Organization of Production
- M11 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Production Management
Statistics
Access and download statistics
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:aza:jscm00:y:2025:v:8:i:1:p:61-75. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Henry Stewart Talks (email available below). General contact details of provider: .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.