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CIPS Exam L6M9 Topic 3 Question 3 Discussion

Actual exam question for CIPS's L6M9 exam
Question #: 3
Topic #: 3
[All L6M9 Questions]

Which of the following are typical objectives of Linear Programming (LP)? Select ALL that apply.

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Suggested Answer: A, B, D, E

Linear Programming (LP) aims to optimise resource allocation by:

Minimising inventory levels (reduce storage costs).

Maximising machine working hours (increase efficiency).

Minimising production costs (reduce expenses).

Maximising labour working hours (increase productivity).

Option C is incorrect---LP aims to minimise, not maximise, transportation costs.

(LO 1.3, See p.47)


Contribute your Thoughts:

Alishia
10 days ago
Ah, the old 'minimize inventory, maximize costs' trick. Classic LP mind games!
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Lenny
10 days ago
I'm not sure about C. Maximising transportation costs doesn't seem like a typical objective of LP to me.
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Murray
17 days ago
I agree with Brinda. Minimising inventory levels, production costs, and maximising labour working hours make sense.
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Cathrine
25 days ago
B and E are my picks. Maximize machine and labor hours to get the most out of your resources!
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Kenneth
6 days ago
Maximizing transportation costs doesn't seem like a typical objective of LP.
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Lottie
12 days ago
I agree, minimizing inventory levels can help reduce waste.
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Minna
15 days ago
I think minimizing production costs is also important to consider.
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Tayna
16 days ago
I agree, maximizing machine and labor hours is key to efficiency.
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Brinda
26 days ago
I think A, D, and E are typical objectives of LP.
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Britt
1 months ago
Wow, C is a strange one. Maximizing transportation costs? That's like trying to lose money on purpose!
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Mari
1 months ago
A, D, and E are the typical objectives of Linear Programming. Gotta maximize efficiency and minimize costs!
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Bettina
16 days ago
That's right! Minimising production costs, maximising labour working hours, and minimising inventory levels are key objectives in LP.
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Dominga
26 days ago
A, D, and E are the typical objectives of Linear Programming. Gotta maximize efficiency and minimize costs!
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