TRL3709 Assignment
2 (COMPLETE
ANSWERS) Semester
1 2026 - DUE April
[Pick the date]
[Type the company name]
, Exam (elaborations)
TRL3709 Assignment 2 (COMPLETE
ANSWERS) Semester 1 2026 - DUE April
2025/2026
.1 Discuss the key factors from the case study that influence supply chain
network design decisions. 5 marks for theory, 5 marks for application. [10
marks] 1.2 Identify and discuss on how the alternatives in omni-channel
retail may be applicable to UHL. 3 marks theory, 3 marks for application. [6
marks] 1.3 There are dimensions to consider when evaluating total cost from
offshoring. Identify and discuss three performance dimensions with reference
from case study. 3 marks for theory, 4 marks for application. [7 marks] 1.4
Discuss the managerial levers that can be used to improve coordination
within UHL’s supply chain. 3 marks for theory, 4 marks for application.
It appears you are working on a case study analysis for a specific company,
likely in the retail or logistics sector. Since the case study document was not
provided, I will structure the answers based on standard supply chain and
logistics frameworks. You can use this as a template and replace the
bracketed placeholders with specific facts from your case study.
1.1 Key Factors Influencing Supply Chain Network
Design Decisions
Theory (5 marks)
The primary factors influencing network design typically include:
Strategic Factors: A company's competitive strategy (e.g., cost
leadership vs. responsiveness) dictates whether the network prioritizes
low-cost sourcing or speed to market.
Technological Factors: The adoption of automation, AI for demand
forecasting, or IoT for tracking significantly alters node placement and
capacity.
Macroeconomic Factors: Tariffs, taxes, fuel costs, and currency
exchange rates impact the financial viability of specific locations.
Infrastructure Factors: The quality of roads, ports, and proximity to
logistics hubs (warehouses, cross-docks) determines lead times.
Customer Response Time: The willingness of customers to wait
directly influences whether inventory is centralized (slower, cheaper)
or decentralized (faster, costlier).
2 (COMPLETE
ANSWERS) Semester
1 2026 - DUE April
[Pick the date]
[Type the company name]
, Exam (elaborations)
TRL3709 Assignment 2 (COMPLETE
ANSWERS) Semester 1 2026 - DUE April
2025/2026
.1 Discuss the key factors from the case study that influence supply chain
network design decisions. 5 marks for theory, 5 marks for application. [10
marks] 1.2 Identify and discuss on how the alternatives in omni-channel
retail may be applicable to UHL. 3 marks theory, 3 marks for application. [6
marks] 1.3 There are dimensions to consider when evaluating total cost from
offshoring. Identify and discuss three performance dimensions with reference
from case study. 3 marks for theory, 4 marks for application. [7 marks] 1.4
Discuss the managerial levers that can be used to improve coordination
within UHL’s supply chain. 3 marks for theory, 4 marks for application.
It appears you are working on a case study analysis for a specific company,
likely in the retail or logistics sector. Since the case study document was not
provided, I will structure the answers based on standard supply chain and
logistics frameworks. You can use this as a template and replace the
bracketed placeholders with specific facts from your case study.
1.1 Key Factors Influencing Supply Chain Network
Design Decisions
Theory (5 marks)
The primary factors influencing network design typically include:
Strategic Factors: A company's competitive strategy (e.g., cost
leadership vs. responsiveness) dictates whether the network prioritizes
low-cost sourcing or speed to market.
Technological Factors: The adoption of automation, AI for demand
forecasting, or IoT for tracking significantly alters node placement and
capacity.
Macroeconomic Factors: Tariffs, taxes, fuel costs, and currency
exchange rates impact the financial viability of specific locations.
Infrastructure Factors: The quality of roads, ports, and proximity to
logistics hubs (warehouses, cross-docks) determines lead times.
Customer Response Time: The willingness of customers to wait
directly influences whether inventory is centralized (slower, cheaper)
or decentralized (faster, costlier).
