Specialist books
Supply Network Design and Optimization
Specialist edition 01
Learn the models behind facility location, distribution, manufacturing capacity, inventory, and simulation. Build and verify the tools with 40 practical exercises.
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Available soonThe idea behind the book
What you’ll learn.
Work through a complete supply network study, from customer demand and candidate locations to product flows, manufacturing technologies, inventory policies, and a recommendation you can explain.
Twenty chapters pair the business decision with a model, a worked example, and two practical exercises. Use AI assistance to build inspectable tools, run the reference calculations, and check both the numbers and the assumptions. The Upshift Network Lab provides synthetic teaching data and Python models using NumPy, SciPy, and HiGHS.
For practitioners who understand supply chain operations and are comfortable with a spreadsheet. No previous optimization programming is assumed.
Inside the book
Table of contents.
- 01
Map the current network
p. 7 - 02
Find a single facility location
p. 11 - 03
Design a network with several facilities
p. 15 - 04
Expand an existing network
p. 18 - 05
Optimize customer and product allocations
p. 22 - 06
Open close or expand distribution facilities
p. 26 - 07
Add transport economics and service constraints
p. 29 - 08
Plan across seasons and periods
p. 33 - 09
Allocate production across plants
p. 37 - 10
Decide where manufacturing technologies belong
p. 41 - 11
Open close expand or repurpose plants
p. 44 - 12
Plan manufacturing transitions over time
p. 47 - 13
Choose replenishment policies
p. 51 - 14
Size safety stock under uncertainty
p. 55 - 15
Position inventory across network stages
p. 58 - 16
Differentiate policies by product and customer
p. 62 - 17
Simulate operations and verify the model
p. 66 - 18
Stress test disruption and growth
p. 69 - 19
Compare cost service cash and emissions
p. 73 - 20
Recommend and implement the future network
p. 76
Included with the book
Hands-on exercises.
Every book comes with exercises you do yourself. Read a chapter, then practise its method on realistic files until you can use it on your own work.
Practice files
Work on data made for the exercise.
Each exercise comes with files from Upshift, the fictional bicycle company in the books: agreements, orders, emails and spreadsheets, ready to give your AI.
A guide for every step
Know what to do next.
A walkthrough tells you what to give the AI, what to ask it, and how to check its answer against the sources.
A reference to check against
See how your result compares.
Compare your answer with a worked reference, mark the exercise done, and follow your progress through the book in your workbench.