asu-scm-300-final-exam-davila-20262027-all-possible-questions-a
nd-revised-answers-latest-update — 200 Questions and Answers
Already Graded A+ Premium Exam Tested And Verified
Subject Area Supply Chain Management
Course Level Undergraduate Year 3-4 / Graduate
Description This comprehensive final exam assesses advanced concepts in supply chain
management, covering strategic sourcing, logistics optimization, demand
forecasting, inventory control, sustainability, risk mitigation, and digital
transformation. It requires synthesis of theoretical frameworks with practical
applications in complex global scenarios.
Expected Grade A+
Total Questions 200
Duration 3 hours
Passing Score 70%
Learning Outcomes 1. Analyze and design resilient supply chain networks under uncertainty
2. Evaluate trade-offs in inventory policies using quantitative models
3. Develop integrated strategies for sustainable and ethical sourcing
Accreditation Meets AACSB-accredited business school standards for rigorous analytical and
applied learning at top US research universities.
Page 1
,1. A multinational electronics firm is redesigning its global distribution network to balance
responsiveness and cost efficiency. Using a gravity model analysis, they identify optimal facility
locations based on demand centers, transportation costs, and tariffs. If demand volatility increases
by 30% due to market disruptions, which network configuration strategy would best mitigate
bullwhip effect amplification while maintaining service levels?
A. Centralize all distribution in a single mega-hub with advanced automation
B. Implement a hybrid network with regional fulfillment centers using vendor-managed inventory
C. Adopt a fully decentralized model with local micro-fulfillment centers
D. Outsource all logistics to a 4PL provider with fixed-cost contracts
Answer: B. Implement a hybrid network with regional fulfillment centers using vendor-managed
inventory
A hybrid network with regional centers and VMI allows demand signal synchronization,
reducing order batching and information distortion that drive bullwhip effects, while
balancing efficiency and responsiveness. Centralization (A) increases vulnerability to
disruptions, full decentralization (C) raises costs without coordination benefits, and
2. In a multi-echelon inventory system for pharmaceutical supply chains, where lead times are
stochastic and demand follows a Poisson distribution with mean »=50 units/day, which inventory
policy minimizes total expected cost while ensuring 99% service level? Consider holding cost
h=$2/unit/day, shortage cost p=$100/unit, and fixed ordering cost K=$500.
A. (s,Q) policy with s=Reorder point=600, Q=EOQ=500
B. (s,S) policy with s=550, S=1200
C. Base-stock policy with order-up-to level S=1100
D. Periodic review with review interval T=7 days, order-up-to level R=800
Answer: C. Base-stock policy with order-up-to level S=1100
For Poisson demand with high service level requirements and significant shortage costs, a
base-stock policy (C) optimally balances holding and stockout costs by maintaining constant
inventory position. (s,Q) (A) ignores lead time variability, (s,S) (B) is suboptimal for Poisson
with these parameters, and periodic review (D) increases safety stock needs unnecessarily.
Page 2
,3. When evaluating sustainable sourcing strategies using triple-bottom-line accounting, a company
discovers that local sourcing reduces carbon emissions by 40% but increases production costs by
25% compared to offshore alternatives. Which analytical framework would best quantify the
trade-off between environmental benefits and economic impacts to support decision-making?
A. Life Cycle Assessment (LCA) with monetized externalities
B. Total Cost of Ownership (TCO) including carbon pricing
C. Data Envelopment Analysis (DEA) for efficiency benchmarking
D. Real Options Valuation (ROV) for flexibility assessment
Answer: B. Total Cost of Ownership (TCO) including carbon pricing
TCO with carbon pricing (B) directly incorporates environmental costs into financial analysis,
enabling apples-to-apples comparison of sourcing options. LCA (A) measures impacts but
doesn't inherently integrate economic trade-offs, DEA (C) evaluates relative efficiency without
cost quantification, and ROV (D) assesses flexibility rather than direct cost-benefit analysis.
4. A manufacturer uses ARIMA(1,1,1) for demand forecasting with parameters Æ=0.6, ¸=0.3. If the model shows
increasing forecast errors with MAPE rising from 8% to 15% over six months, which diagnostic approach would best
identify whether this indicates structural change versus model misspecification?
A. Recursive residual analysis with CUSUM test
B. Augmented Dickey-Fuller test for stationarity
C. Ljung-Box test for autocorrelation in residuals
D. Variance ratio test for random walk behavior
Answer: A. Recursive residual analysis with CUSUM test
Recursive residual analysis with CUSUM (A) systematically detects parameter instability and structural breaks
over time, distinguishing them from general misspecification. ADF test (B) checks stationarity but not parameter
stability, Ljung-Box (C) tests residual autocorrelation not structural change, and variance ratio (D) identifies
random walks rather than breaking processes.
5. In designing a resilient supply chain for critical medical devices, which risk mitigation strategy provides the highest
robustness against simultaneous supplier disruption and transportation network failure?
A. Dual sourcing with geographically dispersed suppliers and prepositioned safety stock
B. Single sourcing with strategic buffer inventory at central warehouse
C. Multi-sourcing with suppliers in same region and expedited shipping contracts
D. Vertical integration with in-house manufacturing and dedicated transport
Answer: A. Dual sourcing with geographically dispersed suppliers and prepositioned safety stock
Dual sourcing with geographic dispersion (A) addresses both supplier and transportation risks through
redundancy and localization, while prepositioned stock provides immediate response. Single sourcing (B) fails on
supplier risk, same-region multi-sourcing (C) doesn't mitigate transportation failure, and vertical integration (D)
increases rather than diversifies risk exposure.
Page 3
, 6. When implementing blockchain for supply chain traceability, which technical architecture choice ensures data
immutability and permissioned access while maintaining scalability for 10,000+ daily transactions?
A. Public permissionless blockchain with proof-of-work consensus
B. Private permissioned blockchain with practical Byzantine fault tolerance
C. Hybrid blockchain with public data layer and private smart contracts
D. Federated blockchain with rotating validator nodes among participants
Answer: D. Federated blockchain with rotating validator nodes among participants
Federated blockchain with rotating validators (D) balances immutability, controlled access, and scalability
through distributed trust among vetted participants. Public chains (A) lack permission control and have
scalability issues, private chains (B) may compromise immutability, and hybrids (C) create complexity without
solving scalability constraints.
7. A company uses a newsvendor model for seasonal fashion items with demand normally distributed (¼=1000, Ã=300).
If overage cost co=$20 and underage cost cu=$80, what is the optimal order quantity that maximizes expected profit?
Use critical ratio analysis.
A. 1150 units
B. 1250 units
C. 1050 units
D. 950 units
Answer: B. 1250 units
Critical ratio = cu/(cu+co) = 80/(80+20) = 0.8. For N(1000,300), z-score for 0.8 is approximately 0.84. Optimal
quantity = ¼ + zà = 1000 + 0.84*300 = 1252 "H 1250 units (B). 1150 (A) corresponds to z=0.5 (CR=0.69), 1050 (C) to
z=0.17 (CR=0.57), 950 (D) to z=-0.17 (CR=0.43).
8. In evaluating transportation mode selection between air freight and ocean shipping for high-value electronics, which
factor becomes the dominant decision criterion when product value-to-weight ratio exceeds $500/kg and demand
uncertainty is high?
A. Freight cost per kilogram
B. Transit time variability
C. Carbon emissions per ton-kilometer
D. Customs clearance complexity
Answer: B. Transit time variability
For high value-to-weight ratio with demand uncertainty, transit time variability (B) dominates due to inventory
carrying costs and stockout risks outweighing freight costs (A). Environmental impact (C) is secondary for such
high-value items, and customs complexity (D) affects both modes similarly.
Page 4
nd-revised-answers-latest-update — 200 Questions and Answers
Already Graded A+ Premium Exam Tested And Verified
Subject Area Supply Chain Management
Course Level Undergraduate Year 3-4 / Graduate
Description This comprehensive final exam assesses advanced concepts in supply chain
management, covering strategic sourcing, logistics optimization, demand
forecasting, inventory control, sustainability, risk mitigation, and digital
transformation. It requires synthesis of theoretical frameworks with practical
applications in complex global scenarios.
Expected Grade A+
Total Questions 200
Duration 3 hours
Passing Score 70%
Learning Outcomes 1. Analyze and design resilient supply chain networks under uncertainty
2. Evaluate trade-offs in inventory policies using quantitative models
3. Develop integrated strategies for sustainable and ethical sourcing
Accreditation Meets AACSB-accredited business school standards for rigorous analytical and
applied learning at top US research universities.
Page 1
,1. A multinational electronics firm is redesigning its global distribution network to balance
responsiveness and cost efficiency. Using a gravity model analysis, they identify optimal facility
locations based on demand centers, transportation costs, and tariffs. If demand volatility increases
by 30% due to market disruptions, which network configuration strategy would best mitigate
bullwhip effect amplification while maintaining service levels?
A. Centralize all distribution in a single mega-hub with advanced automation
B. Implement a hybrid network with regional fulfillment centers using vendor-managed inventory
C. Adopt a fully decentralized model with local micro-fulfillment centers
D. Outsource all logistics to a 4PL provider with fixed-cost contracts
Answer: B. Implement a hybrid network with regional fulfillment centers using vendor-managed
inventory
A hybrid network with regional centers and VMI allows demand signal synchronization,
reducing order batching and information distortion that drive bullwhip effects, while
balancing efficiency and responsiveness. Centralization (A) increases vulnerability to
disruptions, full decentralization (C) raises costs without coordination benefits, and
2. In a multi-echelon inventory system for pharmaceutical supply chains, where lead times are
stochastic and demand follows a Poisson distribution with mean »=50 units/day, which inventory
policy minimizes total expected cost while ensuring 99% service level? Consider holding cost
h=$2/unit/day, shortage cost p=$100/unit, and fixed ordering cost K=$500.
A. (s,Q) policy with s=Reorder point=600, Q=EOQ=500
B. (s,S) policy with s=550, S=1200
C. Base-stock policy with order-up-to level S=1100
D. Periodic review with review interval T=7 days, order-up-to level R=800
Answer: C. Base-stock policy with order-up-to level S=1100
For Poisson demand with high service level requirements and significant shortage costs, a
base-stock policy (C) optimally balances holding and stockout costs by maintaining constant
inventory position. (s,Q) (A) ignores lead time variability, (s,S) (B) is suboptimal for Poisson
with these parameters, and periodic review (D) increases safety stock needs unnecessarily.
Page 2
,3. When evaluating sustainable sourcing strategies using triple-bottom-line accounting, a company
discovers that local sourcing reduces carbon emissions by 40% but increases production costs by
25% compared to offshore alternatives. Which analytical framework would best quantify the
trade-off between environmental benefits and economic impacts to support decision-making?
A. Life Cycle Assessment (LCA) with monetized externalities
B. Total Cost of Ownership (TCO) including carbon pricing
C. Data Envelopment Analysis (DEA) for efficiency benchmarking
D. Real Options Valuation (ROV) for flexibility assessment
Answer: B. Total Cost of Ownership (TCO) including carbon pricing
TCO with carbon pricing (B) directly incorporates environmental costs into financial analysis,
enabling apples-to-apples comparison of sourcing options. LCA (A) measures impacts but
doesn't inherently integrate economic trade-offs, DEA (C) evaluates relative efficiency without
cost quantification, and ROV (D) assesses flexibility rather than direct cost-benefit analysis.
4. A manufacturer uses ARIMA(1,1,1) for demand forecasting with parameters Æ=0.6, ¸=0.3. If the model shows
increasing forecast errors with MAPE rising from 8% to 15% over six months, which diagnostic approach would best
identify whether this indicates structural change versus model misspecification?
A. Recursive residual analysis with CUSUM test
B. Augmented Dickey-Fuller test for stationarity
C. Ljung-Box test for autocorrelation in residuals
D. Variance ratio test for random walk behavior
Answer: A. Recursive residual analysis with CUSUM test
Recursive residual analysis with CUSUM (A) systematically detects parameter instability and structural breaks
over time, distinguishing them from general misspecification. ADF test (B) checks stationarity but not parameter
stability, Ljung-Box (C) tests residual autocorrelation not structural change, and variance ratio (D) identifies
random walks rather than breaking processes.
5. In designing a resilient supply chain for critical medical devices, which risk mitigation strategy provides the highest
robustness against simultaneous supplier disruption and transportation network failure?
A. Dual sourcing with geographically dispersed suppliers and prepositioned safety stock
B. Single sourcing with strategic buffer inventory at central warehouse
C. Multi-sourcing with suppliers in same region and expedited shipping contracts
D. Vertical integration with in-house manufacturing and dedicated transport
Answer: A. Dual sourcing with geographically dispersed suppliers and prepositioned safety stock
Dual sourcing with geographic dispersion (A) addresses both supplier and transportation risks through
redundancy and localization, while prepositioned stock provides immediate response. Single sourcing (B) fails on
supplier risk, same-region multi-sourcing (C) doesn't mitigate transportation failure, and vertical integration (D)
increases rather than diversifies risk exposure.
Page 3
, 6. When implementing blockchain for supply chain traceability, which technical architecture choice ensures data
immutability and permissioned access while maintaining scalability for 10,000+ daily transactions?
A. Public permissionless blockchain with proof-of-work consensus
B. Private permissioned blockchain with practical Byzantine fault tolerance
C. Hybrid blockchain with public data layer and private smart contracts
D. Federated blockchain with rotating validator nodes among participants
Answer: D. Federated blockchain with rotating validator nodes among participants
Federated blockchain with rotating validators (D) balances immutability, controlled access, and scalability
through distributed trust among vetted participants. Public chains (A) lack permission control and have
scalability issues, private chains (B) may compromise immutability, and hybrids (C) create complexity without
solving scalability constraints.
7. A company uses a newsvendor model for seasonal fashion items with demand normally distributed (¼=1000, Ã=300).
If overage cost co=$20 and underage cost cu=$80, what is the optimal order quantity that maximizes expected profit?
Use critical ratio analysis.
A. 1150 units
B. 1250 units
C. 1050 units
D. 950 units
Answer: B. 1250 units
Critical ratio = cu/(cu+co) = 80/(80+20) = 0.8. For N(1000,300), z-score for 0.8 is approximately 0.84. Optimal
quantity = ¼ + zà = 1000 + 0.84*300 = 1252 "H 1250 units (B). 1150 (A) corresponds to z=0.5 (CR=0.69), 1050 (C) to
z=0.17 (CR=0.57), 950 (D) to z=-0.17 (CR=0.43).
8. In evaluating transportation mode selection between air freight and ocean shipping for high-value electronics, which
factor becomes the dominant decision criterion when product value-to-weight ratio exceeds $500/kg and demand
uncertainty is high?
A. Freight cost per kilogram
B. Transit time variability
C. Carbon emissions per ton-kilometer
D. Customs clearance complexity
Answer: B. Transit time variability
For high value-to-weight ratio with demand uncertainty, transit time variability (B) dominates due to inventory
carrying costs and stockout risks outweighing freight costs (A). Environmental impact (C) is secondary for such
high-value items, and customs complexity (D) affects both modes similarly.
Page 4
