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1.1 Explain qualitative and quantitative approaches to supply chain operations.
SUPPLY CHAIN PLANNING, MODELLING AND ANALYTICS
Unit Reference Number
R/618/1229
Unit Title
Supply Chain Planning, Modelling and Analytics
Unit Level
7
Number of Credits
20
Total Qualification Time
200
Guided Learning Hours (GLH)
100
Mandatory / Optional
Mandatory
Unit Grading Structure
Pass/Fail
Unit Aims The unit aims to provide learners with in-depth knowledge about planning processes across all key aspects of supply chain management.
The relevance of each of the planning processes, the associated information requirements and modelling and analytic techniques are covered.
Learning Outcome – The learner will:
Assessment Criterion – The learner can:
1. Understand supply chain planning models and approaches used in contemporary business operations.
1.1 Explain qualitative and quantitative approaches to supply chain operations.
1.2 Apply appropriate forecasting techniques
1.3 Evaluate the appropriateness of supply networks
1.4 Apply location planning models for different entities
In the supply network.
1.5 Apply appropriate inventory control and management approaches.
2. Understand the integration of supply chain planning, scheduling and control approaches in business operations.
2.1 Analyse the relationships between aggregate and hierarchical planning and control.
2.2 Apply the concepts of Material Planning and Control and other capacity management strategies.
2.3 Evaluate the implementation of Enterprise Resource Planning (ERP) system in business operations.
3. Understand the application of data analytics in supply chain management.
3.1 Explain the use and relevance of simulation techniques in each of the key areas of supply chain management.
3.2 Explain the use and relevance of big data analytical techniques in each of the key areas of supply chain management
Scenario: You have recently secured a ‘Lead Operations Manager’ role with 3663 group, a logistics specialist company providing frozen items to high street restaurants. You have taken over in a challenging period where the industry is affected by COVID19.
You understand the organisation will have a complicated and trying year ahead. You are tasked by the Senior Management to develop plans to ensure that there is a greater clarity on the demand and supply based on mathematical reasoning. The Head of Operations have allocated you two tasks that you need to carry out.
Task 1 of 2 Portfolio of tasks Instructions
For your organisation, using imaginary data, apply any two forecasting techniques from the below:
Historical Analogy Method
Survey Method
Opinion Poll
Business Barometers
Time Series Analysis
Regression Analysis
Input-Output Analysis
Evaluate the appropriateness of supply networks
Apply a range of location planning models for different entities in the supply network of your organisation.
Apply a range of inventory control and management approaches to your organisation.
Apply the concepts of Material Planning and Control and other capacity management strategies to your organisation.
(LO1 AC1.2, 1.3,1.4, 1.5 and LO2 AC2.2)
Delivery and Submission
1x Word file (circa 2000 words excluding TOC, diagrams, references and appendices)
NOTE: the centre may wish to provide learners with demo data for the mathematical tasks. Explain qualitative and quantitative approaches to supply chain operations.
Task 2 of 2 Business Report Instructions
Your report will consist of the following:
Explain qualitative and quantitative approaches to supply chain operations.
Analyse the relationships between aggregate and hierarchical planning and control.
Evaluate the implementation of Enterprise Resource Planning (ERP) system in business operations
Explain the use and relevance of simulation techniques in each of the key areas of supply chain management
Explain the use and relevance of big data analytical techniques in each of the key areas of supply chain management
(LO1 AC 1.1, LO2 AC2.1,2.3, LO3, AC3.1, 3.2)
Delivery and Submission
1x Word file (circa 2500 words excluding TOC, diagrams, references and appendices)
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