2.3.4 - Resource management

Compare job, batch, flow and cell production.

Use a - methods of production to connect the rule to the data and decision in the question.

This matters because a - methods of production determines what can be inferred or chosen; begin with the stated conditions and keep the conclusion tied to the evidence.

Example: apply a - methods of production to one small, clearly defined case, show the key step or comparison, and explain the result in words.

Boundary: a - Methods of production is not a universal recommendation. Check the syllabus scope, assumptions, units and the limits of the evidence before generalising.

Calculate productivity and analyse factors affecting it, its link with competitiveness and ways to improve it.

Use b - productivity to connect the rule to the data and decision in the question.

This matters because b - productivity determines what can be inferred or chosen; begin with the stated conditions and keep the conclusion tied to the evidence.

Example: apply b - productivity to one small, clearly defined case, show the key step or comparison, and explain the result in words.

Boundary: b - Productivity is not a universal recommendation. Check the syllabus scope, assumptions, units and the limits of the evidence before generalising.

Explain production at minimum average cost, factors affecting efficiency and ways to improve it.

Use c - efficiency to connect the rule to the data and decision in the question.

This matters because c - efficiency determines what can be inferred or chosen; begin with the stated conditions and keep the conclusion tied to the evidence.

Example: apply c - efficiency to one small, clearly defined case, show the key step or comparison, and explain the result in words.

Boundary: c - Efficiency is not a universal recommendation. Check the syllabus scope, assumptions, units and the limits of the evidence before generalising.

Distinguish labour-intensive from capital-intensive production.

Use d - labour and capital intensity to connect the rule to the data and decision in the question.

This matters because d - labour and capital intensity determines what can be inferred or chosen; begin with the stated conditions and keep the conclusion tied to the evidence.

Example: apply d - labour and capital intensity to one small, clearly defined case, show the key step or comparison, and explain the result in words.

Boundary: d - Labour and capital intensity is not a universal recommendation. Check the syllabus scope, assumptions, units and the limits of the evidence before generalising.

Explain competitive advantage from short product lead-in times.

Use e - product lead-in times to connect the rule to the data and decision in the question.

This matters because e - product lead-in times determines what can be inferred or chosen; begin with the stated conditions and keep the conclusion tied to the evidence.

Example: apply e - product lead-in times to one small, clearly defined case, show the key step or comparison, and explain the result in words.

Boundary: e - Product lead-in times is not a universal recommendation. Check the syllabus scope, assumptions, units and the limits of the evidence before generalising.

Calculate capacity utilisation as current output divided by maximum possible output times 100.

Use a - capacity utilisation calculation to connect the rule to the data and decision in the question.

This matters because a - capacity utilisation calculation determines what can be inferred or chosen; begin with the stated conditions and keep the conclusion tied to the evidence.

Example: apply a - capacity utilisation calculation to one small, clearly defined case, show the key step or comparison, and explain the result in words.

Boundary: a - Capacity utilisation calculation is not a universal recommendation. Check the syllabus scope, assumptions, units and the limits of the evidence before generalising.

Analyse implications of under-utilisation and over-utilisation of capacity.

Use b - capacity under- and over-utilisation to connect the rule to the data and decision in the question.

This matters because b - capacity under- and over-utilisation determines what can be inferred or chosen; begin with the stated conditions and keep the conclusion tied to the evidence.

Example: apply b - capacity under- and over-utilisation to one small, clearly defined case, show the key step or comparison, and explain the result in words.

Boundary: b - Capacity under- and over-utilisation is not a universal recommendation. Check the syllabus scope, assumptions, units and the limits of the evidence before generalising.

Evaluate ways of improving capacity utilisation.

Use c - improving capacity utilisation to connect the rule to the data and decision in the question.

This matters because c - improving capacity utilisation determines what can be inferred or chosen; begin with the stated conditions and keep the conclusion tied to the evidence.

Example: apply c - improving capacity utilisation to one small, clearly defined case, show the key step or comparison, and explain the result in words.

Boundary: c - Improving capacity utilisation is not a universal recommendation. Check the syllabus scope, assumptions, units and the limits of the evidence before generalising.

Interpret inventory control diagrams.

Use a - inventory control diagrams to connect the rule to the data and decision in the question.

This matters because a - inventory control diagrams determines what can be inferred or chosen; begin with the stated conditions and keep the conclusion tied to the evidence.

Example: apply a - inventory control diagrams to one small, clearly defined case, show the key step or comparison, and explain the result in words.

Boundary: a - Inventory control diagrams is not a universal recommendation. Check the syllabus scope, assumptions, units and the limits of the evidence before generalising.

Explain buffer inventory.

Use b - buffer inventory to connect the rule to the data and decision in the question.

This matters because b - buffer inventory determines what can be inferred or chosen; begin with the stated conditions and keep the conclusion tied to the evidence.

Example: apply b - buffer inventory to one small, clearly defined case, show the key step or comparison, and explain the result in words.

Boundary: b - Buffer inventory is not a universal recommendation. Check the syllabus scope, assumptions, units and the limits of the evidence before generalising.

Analyse implications of poor inventory control.

Use c - poor inventory control to connect the rule to the data and decision in the question.

This matters because c - poor inventory control determines what can be inferred or chosen; begin with the stated conditions and keep the conclusion tied to the evidence.

Example: apply c - poor inventory control to one small, clearly defined case, show the key step or comparison, and explain the result in words.

Boundary: c - Poor inventory control is not a universal recommendation. Check the syllabus scope, assumptions, units and the limits of the evidence before generalising.

Explain just in time inventory management.

Use d - just in time to connect the rule to the data and decision in the question.

This matters because d - just in time determines what can be inferred or chosen; begin with the stated conditions and keep the conclusion tied to the evidence.

Example: apply d - just in time to one small, clearly defined case, show the key step or comparison, and explain the result in words.

Boundary: d - Just in time is not a universal recommendation. Check the syllabus scope, assumptions, units and the limits of the evidence before generalising.

Explain waste minimisation.

Use e - waste minimisation to connect the rule to the data and decision in the question.

This matters because e - waste minimisation determines what can be inferred or chosen; begin with the stated conditions and keep the conclusion tied to the evidence.

Example: apply e - waste minimisation to one small, clearly defined case, show the key step or comparison, and explain the result in words.

Boundary: e - Waste minimisation is not a universal recommendation. Check the syllabus scope, assumptions, units and the limits of the evidence before generalising.

Explain competitive advantage from lean production.

Use f - lean production advantage to connect the rule to the data and decision in the question.

This matters because f - lean production advantage determines what can be inferred or chosen; begin with the stated conditions and keep the conclusion tied to the evidence.

Example: apply f - lean production advantage to one small, clearly defined case, show the key step or comparison, and explain the result in words.

Boundary: f - Lean production advantage is not a universal recommendation. Check the syllabus scope, assumptions, units and the limits of the evidence before generalising.

Compare quality control, quality assurance and quality circles.

Use a - quality methods to connect the rule to the data and decision in the question.

This matters because a - quality methods determines what can be inferred or chosen; begin with the stated conditions and keep the conclusion tied to the evidence.

Example: apply a - quality methods to one small, clearly defined case, show the key step or comparison, and explain the result in words.

Boundary: a - Quality methods is not a universal recommendation. Check the syllabus scope, assumptions, units and the limits of the evidence before generalising.

Explain Total Quality Management.

Use b - total quality management to connect the rule to the data and decision in the question.

This matters because b - total quality management determines what can be inferred or chosen; begin with the stated conditions and keep the conclusion tied to the evidence.

Example: apply b - total quality management to one small, clearly defined case, show the key step or comparison, and explain the result in words.

Boundary: b - Total Quality Management is not a universal recommendation. Check the syllabus scope, assumptions, units and the limits of the evidence before generalising.

Explain continuous improvement through Kaizen.

Use c - kaizen to connect the rule to the data and decision in the question.

This matters because c - kaizen determines what can be inferred or chosen; begin with the stated conditions and keep the conclusion tied to the evidence.

Example: apply c - kaizen to one small, clearly defined case, show the key step or comparison, and explain the result in words.

Boundary: c - Kaizen is not a universal recommendation. Check the syllabus scope, assumptions, units and the limits of the evidence before generalising.

Explain competitive advantage from quality management.

Use d - quality management advantage to connect the rule to the data and decision in the question.

This matters because d - quality management advantage determines what can be inferred or chosen; begin with the stated conditions and keep the conclusion tied to the evidence.

Example: apply d - quality management advantage to one small, clearly defined case, show the key step or comparison, and explain the result in words.

Boundary: d - Quality management advantage is not a universal recommendation. Check the syllabus scope, assumptions, units and the limits of the evidence before generalising.