tions with a clear collaboration focus, such as E2Open’s Steelwedge. A flexible sourcing matrix that must be optimized by dynamic plant allocations will push you to solutions that incor- porate powerful solvers. Logility, OM Partners, Arkieva and JDA are just a few examples of solutions that should be on your list in this case. If changes in your sourcing matrix are less frequent and mean only small reallocation projects, simpler solutions without complex opti- mizers may suffice.
Robust shortlist
If you run capital-intensive resources that must be highly utilized and opti-
S&OP SOFTWARE VENDORS S&OP software vendor Aimms
Anaplan
Arkieva (Solventure) Dynasis (part of QAD) Exceedra
FuturMaster
Icron Technologies Infor
Inform JDA
John Galt Kinaxis
Llamasoft (Barloworld) Logility
OM Partners Oracle
30
Outperform Quintiq SAP
Slimstock
Steelwedge (now E2Open) Tools Group
mized, e.g. in heavy metal or chemistry, you should be looking for solutions that have complex optimization in their DNA. Typical examples would be Quintiq and Icron, to name just two.
These criteria may be simple and high
level, but they can help you to quickly come to a robust shortlist of potential solutions. The maturing S&OP software market offers solutions to support virtu- ally any S&OP process in a professional manner, and there are many acceptable options for almost all cases. Focusing on a limited set of well-thought-out criteria enables you to quickly prune the list and arrive at a high-quality shortlist of can- didates that could all be good matches. Making the final selection decision will involve many more aspects than just the abovementioned criteria, but that phase should be relatively easy to manage now, given the small number of vendors left to deal with.
Heritage of solution Modelling complex business decisions
Open platform for own company-wide planning Process modelling and optimization in process industry Balancing supply and demand in the chemicals industry Promotion planning at a medium-sized FMCG company Flexible demand & supply chain planning in FMCG Optimization in the ultra-complex high-tech industry Complex, discrete production planning at a multinational Inventory optimization in complex, discrete manufacturing Facilitating process workfl ow at an FMCG multinational
Statistical forecasting and inventory management for FMCG SMEs Material-intensive discrete manufacturing
Typical customer in Europe
Liberty Global Louis Vuitton
AkzoNobel Surface Chemistry Solvay
Aspall Cyder
Heineken (local S&OP) ASML Ferrari
Worcester Bosch
Heineken (global IBP) Hasbro
Merck Sharp & Dohme
Inventory optimization of materials and fi nished products at a multinational ThyssenKrupp Aerospace Multi-echelon planning in discrete manufacturing Multi-site planning in the (semi-)process industry Integrated planning at a medtech multinational
Sandvik
ArcelorMittal Stryker
Planning at medium-sized food & beverage manufacturers Optimization of complex, capital-intensive production plants Demand, supply-network and production planning at multinationals Inventory management within technical wholesale S&OP process support with strong (sales) collaboration Inventory- and distribution-intensive food industry
Innocent
Saint Gobain Glass Unilever (local S&OP) Sonepar
Jaguar Land Rover Hero
SUPPLY CHAIN MOVEMENT, No.29, Q2 2018
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