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Seminar on New Technology for Supply Chain Planning and Scheduling: Executive summary

Objective

Supply Chain Planning is about making a forward plan, which maximizes profit and/or minimizes cost. Supply chains are large and complicated - and getting more so - and the problem often has to be decomposed into two smaller problems so that it can be solved within a reasonable time frame. These sub-problems are called the planning problem and the scheduling problem.

The planning problem consists of high-level decisions about what products to make and where they should be made. The scheduling problem is more detailed and addresses how to make the products.

These problems are normally best solved by different technologies. The planning problem is amenable to mathematical optimization, also known as mixed integer programming (MIP); the scheduling problem is more amenable to constraint programming (CP). This creates a situation where different models have to be built, different technologies have to be used to solve the problem, and a degree of iteration is required to arrive at a solution.

In simple terms, the objective of LISCOS was to find a way to solve the supply chain planning problem in a better way using a combination of mathematical optimization and constraint programming technologies. This technology could subsequently be made into a component and made available to systems integrators and OEMs who build supply chain planning solutions and products.

The Opportunity

The market for supply chain planning is estimated at $3 billion and expected to grow to $4 billion in 2006 (source: AMR). The market wants technology that is effective, easy to implement and cheap to maintain. A technology that is effective, integrated and easy-to-use will be very attractive, particularly for SMEs, which still present a large potential market for Supply Chain Planning.

Participants

Industrial Barbot - Paints www.barbot.pt
  BASF - Chemicals www.basf.com
  PSA Peugeot Citroën - Car manufacture www.psa-peugeot-citroen.com
  Procter & Gamble - Consumer goods www.pg.com
Academic CORE, University of Louvain-la-Neuve, Belgium www.core.ucl.ac.be
  DEIO, University of Lisbon, Portugal www.deio.fc.ul.pt
LORIA, University of Henri-Poincare Nancy 1, France www.loria.fr
Technology COSYTEC - Constraint programming www.cosytec.com
  Dash Optimization - Mathematical optimization www.dashoptimization.com
   

The Results

LISCOS, as a concept, has been proven in diverse applications in all four industrial partners. The partner case studies give details, but in summary the results are:

  • The technology solves the problem, producing plans and schedules that are practical
  • Problems that could not be solved can now be solved, and for those that could be solved, solution times have been significantly reduced
  • The supply chain planning process is faster, making the partner more flexible and able to react to changing circumstances and new opportunities
  • In one case, a production limitation has been removed raising capacity by approximately 10%


Further Work

It is recognized that the LISCOS technology is a prototype. Based on the positive outcome reported here, the technology partners, COSYTEC and Dash, are planning to build a software product that can be used as a component within supply chain planning products and solutions.

Designed for use by non-experts, this product will enable OEMs and systems integrators to build supply chain planning products and solutions quickly with a minimum of programming.

The presentations and case studies are available for download from the Client Area of our website (username and password required). If you have not currently have a username and password, please click here to see if you qualify for access.

 

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