Foundation Stage Syllabus

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Business Analysis in Purchasing & Supply

AIM

To provide an introduction to financial analysis and statistical and accounting techniques for use by the purchasing professional.

RATIONALE

The importance of financial evaluation and statistical analysis is increasingly important in organisations, especially in the service and e-commerce environments. The purchasing professional is expected to acquire the financial expertise to evaluate the performance of the whole organisation as well as the statistical expertise to measure and evaluate the effectiveness of the purchasing function.

1. Sources of Finance for the

  1. Private sector.

  2. Public sector.

In the assessment the candidate may be required to:

2. Analysing suppliers' data as part of the pre-purchase order/contract award stage

  1. Trading Profit and Loss account.

  2. Balance Sheet.

  3. Budget and Cash Flows.

  4. Application of ratio analysis to supplier financial data.

  5. Auditing of supplier performance.

In the assessment the candidate may be required to:

3. Prices and Costs - the application of internal and external costs analysis for purchasing projects and orders and contracts.

  1. Elements of costs.

  2. Fixed and variable costs.

  3. Direct, indirect and standard costs.

  4. Process costs.

  5. Costs and margins.

  6. Break-even analysis.

In the assessment the candidate may be required to:

4. Capital Buying

  1. Capital buys analysis - determination of requirements for a capital purchase, including roles of all departments/functions in the decision process, and the links to purchasing.

  2. Total life cycle costs analysis.

  3. General investment appraisal techniques.

In the assessment the candidate may be required to:

5. Statistical Methods for Purchasing Analysis

(a) Descriptive statistics.

  1. Diagrams

  2. Averages

  3. Measures of dispersion

  4. Index numbers.  

(b) Inferential statistics.

  1. probability; conditional probability, sum rule and product rule

  2. expected value

  3. Normal, Poisson and Binomial distribution  

(c) Forecasting methods.  

  1. time series: moving averages, trends, seasonal variation

  2. introduction to regression including the Learning curve

  3. Statistical methods for quality control.

In the assessment the candidate may be required to:

 

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