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Planning and Optimisation
of a
Complex Multinational Supply Chain
– A Real-life Case Study
Mr. Masoud Esmaeili RMIT University
Dr. Behnam Fahimnia UniSA, School of Management
Research Motivation
This research was motivated by a supply chain planning
problem faced by a multinational manufacturing/distribution
company that produces and distributes metal vehicle parts.
This research is a part of a PhD research which is half way
through, expected to be completed in mid 2012.
Research Problem
Suppliers
Material Costs
Plan Source Make Deliver Buy
Warehouses
Transportation
Costs
Inventory Costs
End-users
Transportation
Costs
Manufacturers
Transportation
Costs
Manufacturing
Costs
Local
Suppliers
Foreign
Suppliers
Local Manufacturers
Foreign Manufacturers
Local and Foreign DCs
Local and Foreign
Markets
Research Problem…
* Multiple warehouses
* Multiple markets
* Multiple transport routs
* Economies of scale in
transport
* Exchange rates and tariff
costs
Research Problem…
* Multiple product types * Multiple raw material types
* Multiple raw material suppliers * Multiple manufacturers
* Exchange rates and tariff costs * Economies of scale in procurement and transport
Mathematical modelling
Mixed-Integer Linear Formulation
The objective function minimises the sum of:
• Cost of raw material procurement
• Production costs in local and foreign plants
• Transportation and storage costs
• Tariff costs
Major model constraints:
• Procurement and production constraints
• Storage and transportation constraints
• Economies of scale in procurement and transport
Decision variables
Qipt
Vrspt
Wiplt
Xilet
Yrpt
Zilt
Memetic Algorithm optimisation
Environmentally Sustainable Supply Chain Management (ESSCM)
• Long term success of SC executives must be built not only on
profitability but also on their contribution to the future of
people and our planet.
• A ESSC model is a SC with improvement of the environmental
impacts explicitly considered.
Research direction
Pressures (government legislation):
• SC executives are under pressure from their regulators, major investors,
banks, and insurers to consider sustainability criteria for running
greener operations.
• More supplier standard indices are tracking the sustainability
performance of companies (e.g. Australian SAM Sustainability Index and
Dow Jones Sustainability Index).
Incentives:
• Governments encouraging voluntary environmental initiatives
• Customers purchase their products with sustainability in mind
• University graduates are seeking more sustainable companies
Research direction
Triggers for ESSCM:
Collaborators are invited to join our multidisciplinary
multinational research teams
Working areas in the context of ESSCM:
• Quantifying environmental performance indicators
• Mathematical modelling with respect to the identified
performance measures
• Development of solution approaches for solving the proposed
MILP and MINLP models
• Computer programming and coding of the algorithms
• Performance analysis and evaluation of the numerical results
Call for collaborators
“Thanks for your attention”

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Adelaide Uni presentation.pptx

  • 1. Planning and Optimisation of a Complex Multinational Supply Chain – A Real-life Case Study Mr. Masoud Esmaeili RMIT University Dr. Behnam Fahimnia UniSA, School of Management
  • 2. Research Motivation This research was motivated by a supply chain planning problem faced by a multinational manufacturing/distribution company that produces and distributes metal vehicle parts. This research is a part of a PhD research which is half way through, expected to be completed in mid 2012.
  • 3. Research Problem Suppliers Material Costs Plan Source Make Deliver Buy Warehouses Transportation Costs Inventory Costs End-users Transportation Costs Manufacturers Transportation Costs Manufacturing Costs
  • 4. Local Suppliers Foreign Suppliers Local Manufacturers Foreign Manufacturers Local and Foreign DCs Local and Foreign Markets Research Problem…
  • 5. * Multiple warehouses * Multiple markets * Multiple transport routs * Economies of scale in transport * Exchange rates and tariff costs Research Problem… * Multiple product types * Multiple raw material types * Multiple raw material suppliers * Multiple manufacturers * Exchange rates and tariff costs * Economies of scale in procurement and transport
  • 6. Mathematical modelling Mixed-Integer Linear Formulation The objective function minimises the sum of: • Cost of raw material procurement • Production costs in local and foreign plants • Transportation and storage costs • Tariff costs Major model constraints: • Procurement and production constraints • Storage and transportation constraints • Economies of scale in procurement and transport Decision variables Qipt Vrspt Wiplt Xilet Yrpt Zilt
  • 8. Environmentally Sustainable Supply Chain Management (ESSCM) • Long term success of SC executives must be built not only on profitability but also on their contribution to the future of people and our planet. • A ESSC model is a SC with improvement of the environmental impacts explicitly considered. Research direction
  • 9. Pressures (government legislation): • SC executives are under pressure from their regulators, major investors, banks, and insurers to consider sustainability criteria for running greener operations. • More supplier standard indices are tracking the sustainability performance of companies (e.g. Australian SAM Sustainability Index and Dow Jones Sustainability Index). Incentives: • Governments encouraging voluntary environmental initiatives • Customers purchase their products with sustainability in mind • University graduates are seeking more sustainable companies Research direction Triggers for ESSCM:
  • 10. Collaborators are invited to join our multidisciplinary multinational research teams Working areas in the context of ESSCM: • Quantifying environmental performance indicators • Mathematical modelling with respect to the identified performance measures • Development of solution approaches for solving the proposed MILP and MINLP models • Computer programming and coding of the algorithms • Performance analysis and evaluation of the numerical results Call for collaborators
  • 11. “Thanks for your attention”