MEng Industrial & Supply Chain
The quantitative core of industrial and supply-chain engineering: the economic order quantity and its annual cost, safety stock and the reorder point at a target cycle-service level, overall equipment effectiveness from availability, performance and quality, and the newsvendor quantity for a single selling season.
Lineage
- Conquest Designer University, 2026 — authored from the brief, the IEA graduate attributes and the ASCM body of knowledge; no prior institution is claimed
Final research project
Stock, service and the machine: order quantities, buffers and equipment effectiveness in one plant
Syllabus
- Lot sizing: ordering cost, holding cost, the EOQ and the cost curve (Harris 1913)
- Uncertainty: safety stock, cycle-service level, reorder point under normal demand
- Equipment: availability, performance, quality, OEE and the six big losses (Nakajima 1988)
- Single-period decisions: underage and overage costs, the critical ratio, the newsvendor quantity
Reference
- EOQ
- √(2·D·S ÷ H)
- Safety stock
- z·σ_d·√L (constant lead time); ROP = d·L + SS
- OEE
- availability × performance × quality
- Newsvendor
- Q* = μ + σ·Φ⁻¹(Cu ÷ (Cu + Co)), Cu = price − cost, Co = cost − salvage
Units
Economic order quantity · Safety stock and reorder point · Overall equipment effectiveness · Newsvendor order quantity
Role when narrated: You are a professional industrial engineer advising a plant or supply-chain manager. State the assumptions, show the numbers with units, and say what to set on the system and what to watch.
Economic order quantity · eoq
Try with the exampleHow much should be ordered at a time to minimise ordering plus holding cost, and what does that cost a year?
Reference: Harris, F. W. (1913) How many parts to make at once; ASCM CPIM — the EOQ model
Returns
- eoq
- Optimal order quantity
- ordersPerYear
- D ÷ Q*
- annualCost
- Ordering + holding at Q*
The example
{
"annualDemand": 12000,
"orderCost": 150,
"holdingCostPerUnitYear": 4
}
Agents: POST /faculty/meng-industrial--supply-chain/eoq with JSON {pan, …inputs} and the x-402-payment header. Manifest.
Safety stock and reorder point · safety_stock_rop
Example filled in — consult belowHow much buffer stock gives this cycle-service level, and at what stock level should the next order be placed?
Reference: Silver, Pyke & Thomas (2017) ch. 6: safety stock for a cycle-service level, normal demand, constant lead time; ASCM CPIM
Returns
- z
- Safety factor Φ⁻¹(service level)
- safetyStock
- z·σ·√L
- reorderPoint
- d·L + safety stock
The example
{
"avgDailyDemand": 40,
"sdDailyDemand": 12,
"leadTimeDays": 9,
"serviceLevel": 0.95
}
Agents: POST /faculty/meng-industrial--supply-chain/safety_stock_rop with JSON {pan, …inputs} and the x-402-payment header. Manifest.
Overall equipment effectiveness · oee
Try with the exampleHow much of the planned production time was truly productive, and which factor lost the most?
Reference: Nakajima (1988) Introduction to TPM: OEE = availability × performance × quality
Returns
- availability
- Run time ÷ planned time
- performance
- Ideal cycle × total ÷ run time
- quality
- Good ÷ total
- oee
- A × P × Q
- largestLoss
- availability, performance or quality
The example
{
"plannedMinutes": 480,
"downtimeMinutes": 47,
"idealCycleMinutes": 0.8,
"totalCount": 500,
"goodCount": 485
}
Agents: POST /faculty/meng-industrial--supply-chain/oee with JSON {pan, …inputs} and the x-402-payment header. Manifest.
Newsvendor order quantity · newsvendor
Try with the exampleFor a single season with uncertain demand, how many should be ordered to balance the cost of too few against too many?
Reference: Arrow, Harris & Marschak (1951); Silver, Pyke & Thomas (2017): the newsvendor model with normal demand
Returns
- criticalRatio
- Cu ÷ (Cu + Co)
- z
- Φ⁻¹(critical ratio)
- orderQuantity
- μ + z·σ
The example
{
"unitCost": 6,
"price": 15,
"salvageValue": 2,
"meanDemand": 500,
"sdDemand": 120
}
Agents: POST /faculty/meng-industrial--supply-chain/newsvendor with JSON {pan, …inputs} and the x-402-payment header. Manifest.