CAIE A-Level Business A2 9.3.1 Operational Decisions Topic Practice

AO1 Knowledge and understanding

Knowledge □ (max 1 mark) can be awarded for any relevant business knowledge about operations, including:

- The transformation process

- Efficiency, effectiveness, productivity and sustainability

- Capital intensive and labour intensive operations

- Job, batch, flow and mass customisation

- Managing inventory, including JIT

- Capacity utilisation

- Outsourcing

- Location

- Economies and diseconomies of scale

- Quality management, including benchmarking

- The influence of human, marketing and finance resource availability on operations decisions

- The changing role of Information Technology (IT) and Artificial Intelligence (AI)

- The need for flexibility with regard to volume, delivery time and specification

- Process innovation: changing current processes or adopting new ways of producing products or delivering services

- Location

- Internal and external economies and diseconomies of scale

- Quality management

- Benchmarking

- Improving flexibility and innovation

- Enterprise resource planning (ERP)

- Lean production

- Operations planning, including critical path analysis.

Award ${ }^{[\mathrm{DEV}]}$ for any explanation of relevant business knowledge, up to a max of 2 marks.

1 K for identification and 1 DEV for a point of explanation

1 K for identification and 2 DEVs for two points of explanation

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AO2 Application

Application ${ }^{[m \ll]}$ (max 2 marks) can be awarded for applying operations/operations strategy to CA between 2019 and 2024 CA's operations decisions, including:

- CA is Nala's first job after university, only experience before being made Operations Manager was as a cleaner for CA.

- Planning opening of the new city Z branch, including:

- The use of critical path analysis

- 13 weeks to plan and open the branch (assuming no delays)

- Float available on activities C, D, F, G and H

- Critical path = A, B, E and J

- No built-in time to respond to research results

- Lean production methods introduced by Nala in 2021, including:

- Kaizen (continuous improvement) introduced throughout city Z branch

- All cleaners are placed in a quality circle, including one manager and eight cleaners in each team

- A target to ethically recycle 90% of customers waste

- Just in time re-ordering of cleaning materials

- CA's new AI system introduced in 2022, including:

- Majority of customer services operatives made redundant

- Chatbot system to interact with customers

- Book appointments, answer customer queries and take complaints

- Poor customer/media reaction

- Comparison between the operations of the city Z branch and the city A branch of CA in 2023, including:

- City Z branch has lower revenue than city A

- City Z branch has sightly improved revenue between 2021 and 2023 ( 2% increase)

- City A branch has 10% improved revenue between 2021 and 2023

- City Z branch has improved revenue, same number of cleaners whereas city A branch has increased cleaners

- City Z branch has a loss of $\$ 0.1 \mathrm{~m}$ in 2023, compared to an increased profit for city A branch.

- City Z branch has increased direct costs, despite introduction of lean production methods

- Rate of inventory turnover has increased in city Z branch (suggesting improvement) but may not have added to cost savings.

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AO3 Analysis

Analysis is likely to be based on how operations may have affected CA's decision making ( $\triangle 1$ and $\begin{array}{r}A2 \text { and }{ }^{\triangle 3} \text { ) between }\end{array}$ 2019 and 2024, including:

- Nala's inexperience - poor decision making - too much responsibility - may have been integral to the failure of city Z branch - particularly important since city A branch has increased profitability.

- Did the city Z branch open too quickly? - Is 13 weeks long enough to plan such a large investment? - poor implementation of decisions.

- Critical path analysis is a useful theoretical tool, but does it have enough practical value when Nala and the business are new to the city? - increased costs - reduced profit.

- Built-in float may suggest inefficiency - Was the rent paid for too long before opening? - increased costs - reduced profitability.

- Employee recruitment in city Z had float - increased costs - reduced profit.

- However, CPA may have led to a more efficient opening - reduced costs - increased profit.

- No float between advertising and bookings - efficient.

- CPA allowed Nala to focus on what areas are most important - increased efficiency.

- Kaizen may have allowed more creative ideas to come from every area of the business - lower costs - however also detracts from the primary task of the cleaners (and other employees) - increased costs.

- Likewise, quality circles may detract from cleaning - may theoretically (academically) increase value of workforce but could lead to wasted time not focused on primary tasks like cleaning - increased costs. Also there may be problems of bringing mainly part-time employees together for meeting - may incur additional costs for wages. Also, attendance and contributions might depend on whether workers are paid for attending or not - employees may feel resentful and become demotivated - deceased productivity.

- Ethical recycling of customer waste may provide a USP to CA in city Z - however only if customers value this in the market.

- Just in time ordering may decrease costs of holding inventory - however it may lead to wasted time without necessary supplies.

- Chatbot system may lead to reduced indirect costs (less customer service employees needed) - however seems to have irritated customers and may lead to losing established customers going to other firms.

Link between figures in Appendix 4 and operations decisions.

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AO4 Evaluation

Evaluation $\left({ }^{\mathrm{N} 1}\right.$ and ${ }^{\mathrm{N} 2}$ and ${ }^{\mathrm{N} 3}$ ) including:

Evaluation will largely depend on the points raised in the analysis.

- A judgement over the extent to which operational decisions between 2019 and 2024 led to the failure of CA's city Z branch.

- Discussion over the contribution of the separate and combined decisions on the eventual failure of the city Z branch,

- The extent to which the decisions alone led to the failure of the city Z branch.

- Other likely influences on the failure of the city Z branch, such as the state of the economy in city Z, human resource management of the cleaners and indirect staff, Nala's personality, unrealistic expectations of the board of directors of CA, marketing of CA, especially for the city Z branch, the financing given to help the city Z branch become successful etc.

- The extent to which the failure of the city Z branch could be attributed to the operational decisions alone.

- The extent to which CA itself was deemed successful (city A branch).

Accept all valid responses.

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Exemplars for awarding evaluation:

L2 □

including: (developed supporting evidence)

including: (developed supporting evidence with context)

No credit &
L1 $\stackrel{\mathrm{N} 1}{ }$ including:

(limited

supporting

evidence)

L

s

The operations

strategy did lead

to the failure of

the city Z branch.

The operations

strategy did lead to

the failure of the city

Z branch because it

was poorly

implemented.

The

the

b

im

m

m

a

\end{tabular}

The operations strategy did lead to
the failure of the city Z branch
because it was poorly
implemented. This meant that the
money spent on the lean
production methods was wasted
and it could have been spent on
something else.

The operations strategy did lead to
the failure of the city Z branch
because it was poorly implemented
by Nala who was inexperienced.
This meant that the money spent on
the lean production methods was
wasted and it could have been
spent on something else.

The reason the
city Z branch
failed was due to
the marketing.

The reason the city
Z branch failed was
due to the
marketing not the
operations.

The reason the city Z branch failed
was due to the marketing not the
operations. This is because they
did not do enough market research
to back up their strategic
decisions.

The reason the city Z branch failed
was due to the marketing not the
operations. This is because they did
not do enough market research to
back up their strategic decisions,
such as research whether
customers want 90\% of their waste
recycled.