BUSINESS-09 · Undergraduate · ENGLISH · PLANNED
Study an original business case, compare options, make a decision and defend implementation.
Study time is an initial activity estimate, excluding extra reading, revision and extended laboratory or project work. Videos and question bodies have not been produced by adding this outline.
Complete these courses or demonstrate equivalent knowledge. These are recommended prerequisites, not enforced enrolment locks.
YouTube playlist: ARK Business Administration · BBA/MBA | Operations, Quality and Supply Chain Management
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Sign in to save this learning pathPractical outcome: Analyse the flow of work in a fictional service operation.
Explain process mapping using a visual and one worked real-world example. Context: Analyse the flow of work in a fictional service operation. End with a prediction or check-for-understanding.
Explain capacity using a visual and one worked real-world example. Context: Analyse the flow of work in a fictional service operation. End with a prediction or check-for-understanding.
Explain bottlenecks using a visual and one worked real-world example. Context: Analyse the flow of work in a fictional service operation. End with a prediction or check-for-understanding.
Explain throughput using a visual and one worked real-world example. Context: Analyse the flow of work in a fictional service operation. End with a prediction or check-for-understanding.
Use the first concepts from this section. Analyse the flow of work in a fictional service operation. Produce a labelled diagram, trace or calculation; explain each step and check one changed input.
3–6 questions on the preceding first-half concepts only: recall, visual interpretation, application and one plausible misconception. Explain each answer after submission.
Explain cycle time using a visual and one worked real-world example. Context: Analyse the flow of work in a fictional service operation. End with a prediction or check-for-understanding.
Explain little's law using a visual and one worked real-world example. Context: Analyse the flow of work in a fictional service operation. End with a prediction or check-for-understanding.
Explain facility layout using a visual and one worked real-world example. Context: Analyse the flow of work in a fictional service operation. End with a prediction or check-for-understanding.
Explain service operations using a visual and one worked real-world example. Context: Analyse the flow of work in a fictional service operation. End with a prediction or check-for-understanding.
Analyse the flow of work in a fictional service operation. Work without the example, compare two cases, record assumptions and limitations, then self-review correctness, reasoning and clarity.
6–12 questions covering Process mapping, Capacity, Bottlenecks and the remaining section concepts, with cumulative retrieval from earlier sections. Include a new transfer problem; 70% unlocks progression.
Practical outcome: Use synthetic process data to diagnose waste and variation.
Explain quality dimensions using a visual and one worked real-world example. Context: Use synthetic process data to diagnose waste and variation. End with a prediction or check-for-understanding.
Explain lean principles using a visual and one worked real-world example. Context: Use synthetic process data to diagnose waste and variation. End with a prediction or check-for-understanding.
Explain waste categories using a visual and one worked real-world example. Context: Use synthetic process data to diagnose waste and variation. End with a prediction or check-for-understanding.
Explain continuous improvement using a visual and one worked real-world example. Context: Use synthetic process data to diagnose waste and variation. End with a prediction or check-for-understanding.
Use the first concepts from this section. Use synthetic process data to diagnose waste and variation. Produce a labelled diagram, trace or calculation; explain each step and check one changed input.
3–6 questions on the preceding first-half concepts only: recall, visual interpretation, application and one plausible misconception. Explain each answer after submission.
Explain six sigma concepts using a visual and one worked real-world example. Context: Use synthetic process data to diagnose waste and variation. End with a prediction or check-for-understanding.
Explain control charts using a visual and one worked real-world example. Context: Use synthetic process data to diagnose waste and variation. End with a prediction or check-for-understanding.
Explain root-cause analysis using a visual and one worked real-world example. Context: Use synthetic process data to diagnose waste and variation. End with a prediction or check-for-understanding.
Explain improvement experiments using a visual and one worked real-world example. Context: Use synthetic process data to diagnose waste and variation. End with a prediction or check-for-understanding.
Use synthetic process data to diagnose waste and variation. Work without the example, compare two cases, record assumptions and limitations, then self-review correctness, reasoning and clarity.
6–12 questions covering Quality dimensions, Lean principles, Waste categories and the remaining section concepts, with cumulative retrieval from earlier sections. Include a new transfer problem; 70% unlocks progression.
Practical outcome: Plan inventory and supplier choices for a fictional retailer.
Explain demand planning using a visual and one worked real-world example. Context: Plan inventory and supplier choices for a fictional retailer. End with a prediction or check-for-understanding.
Explain inventory models using a visual and one worked real-world example. Context: Plan inventory and supplier choices for a fictional retailer. End with a prediction or check-for-understanding.
Explain safety stock using a visual and one worked real-world example. Context: Plan inventory and supplier choices for a fictional retailer. End with a prediction or check-for-understanding.
Explain procurement using a visual and one worked real-world example. Context: Plan inventory and supplier choices for a fictional retailer. End with a prediction or check-for-understanding.
Use the first concepts from this section. Plan inventory and supplier choices for a fictional retailer. Produce a labelled diagram, trace or calculation; explain each step and check one changed input.
3–6 questions on the preceding first-half concepts only: recall, visual interpretation, application and one plausible misconception. Explain each answer after submission.
Explain supplier relationships using a visual and one worked real-world example. Context: Plan inventory and supplier choices for a fictional retailer. End with a prediction or check-for-understanding.
Explain logistics using a visual and one worked real-world example. Context: Plan inventory and supplier choices for a fictional retailer. End with a prediction or check-for-understanding.
Explain supply-chain resilience using a visual and one worked real-world example. Context: Plan inventory and supplier choices for a fictional retailer. End with a prediction or check-for-understanding.
Explain sustainable operations using a visual and one worked real-world example. Context: Plan inventory and supplier choices for a fictional retailer. End with a prediction or check-for-understanding.
Plan inventory and supplier choices for a fictional retailer. Work without the example, compare two cases, record assumptions and limitations, then self-review correctness, reasoning and clarity.
6–12 questions covering Demand planning, Inventory models, Safety stock and the remaining section concepts, with cumulative retrieval from earlier sections. Include a new transfer problem; 70% unlocks progression.
Combine all three sections: Plan inventory and supplier choices for a fictional retailer. Submit an original worked artifact, evidence or tests, assumptions and a reflection. Rubric: correctness, method, practical usefulness, reproducibility and communication. Self-reviewed, not certified.
6–12 balanced questions sampling every section of Operations, Quality and Supply Chain Management, including interpretation, calculation or reasoning, a misconception and a new application. Passing is 70%; review errors before retrying.
Case discussions, business plans, management simulations and original consulting projects. Guided work leads to an independent attempt, with a diagram, explanation, trace, calculation or tested artifact. Question bodies are generated when opened in your private learning path. Programming submissions are stored as text; the platform does not execute submitted code.
Use original or appropriately licensed datasets. Practical science activities use models or supplied data unless a qualified supervisor has reviewed a physical experiment.
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