Abstract
The purpose of this paper is to describe some links between Just in Time (JIT) manufacturing strategy and performance financial analysis in financial statements. A rational, deductive, analytical and objective method was used; based on previous findings, a series of functions along with pre-post and linear regression analyses models are described as explicative of the relationships between JIT and financial statements analysis. Results show that Dirac function, value transformation function and transform kernel provide the foundations for a conceptual link between JIT and company performance in financial statements. Besides, the JIT relationship to business performance is explained by the following three models, selected from literature: a) pre-post model, explains changes in inventory and asset turnover, and their relationship to JIT; b) two-stage self-selection regression analysis model, explains how sales, inventory, company size and JIT adoption influence ROA changes; and c) lean manufacturing model, including JIT, allows explaining firm's financial data. The conclusion is that JIT is part of a financial sequence of analysis strongly related to the structure of financial statements and company performance.
| Original language | English (US) |
|---|---|
| Title of host publication | IEOM 2017- Proceedings of the International Conference on Industrial Engineering and Operations Management |
| Publisher | Southfield - IEOM Society International |
| Pages | 1363-1372 |
| Number of pages | 10 |
| ISBN (Print) | 978-1-5323-5943-9 |
| State | Published - Oct 25 2017 |
| Event | IEOM Bogota Conference / 1st South American Congress 2017 - Bogota, Colombia Duration: Oct 25 2016 → Oct 26 2016 |
Conference
| Conference | IEOM Bogota Conference / 1st South American Congress 2017 |
|---|---|
| Country/Territory | Colombia |
| City | Bogota |
| Period | 10/25/16 → 10/26/16 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
All Science Journal Classification (ASJC) codes
- Strategy and Management
- Management Science and Operations Research
- Control and Systems Engineering
- Industrial and Manufacturing Engineering
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