SERVICESAP Supply Chain Planning

At its core all Supply Chain Planning problems are Analytical problems. Problems with constraints and objectives.

Your supply chain model (networks and relationships of supply and demand) governs the complexity of your supply chain planning problems. Every organization has their own supply chain that evolved over time.

Every organization has their own unique supply chain challenges characterized by Industry needs, economies of scale, business models, degree of value addition in the supply chain, geographical spread, need to service level differentiation, need for special agreements with customers and vendors and need for keeping supply chain costs at a certain fraction of the product’s selling price.

Lydian’s consultants have extensive experience in design and operations of large-scale supply networks on SAP and other software like Kinaxis, OMP and BY. Our depth of subject matter expertise, business knowledge and industry specialization esp. in Agri Business, Dairy and Consumer packaged foods benefited our customers with implementations are usable and maintainable. We leverage the science of supply chain extensively in our supply chain planning solutions
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There are at least a dozen possibilites of building a ‘supply chain planning’ solutioin that WORKS for you. From as simple as consumption-based planning to more complex forecast driven production and distribution planning in environments with moderate to serious production capacity constraints.

For a start our experienced functional consultants will help formulate the constraints and the objectives. RELEVANT for your business. Responsiveness is still at the core of our design.

But supply chain problems need not begin and end at ‘textbook’ way of thinking about solving operational problems in a constrained environment. Or for that matter do not let software solution architecture limit the possibilities. Eli Goldratt is his famous book ‘The Goal’ emphasized the meaning of bottlenecks and how a bottleneck becomes the pace setter of output in a production – distribution system.

Then there are situations where the objectives are seemingly conflicting but does make business sense.


E.g.

How can I achieve all of this simultaneously?

  • Fulfill Distribution Demand
  • Produce to Maximize Gross Margins
  • Utilize Capacity
  • Mind Limited Storage Space


E.g.

I have limited Milk Supply. I can produce 10 possible products. Which products should I produce to utilize all the milk and maximize my profits, given a particular demand forecast.

  • Butter
  • Condensed Milk
  • Lactose
  • Casein
  • Yoghurt
  • E.g.

How can I group my products for ease of predicting future demand (reduce forecast error) without loss of trend and seasonality?

  • How can I cluster the products as Low Margin New Products
  • How can I ensure that Supply and Demand for 3 identical products always ‘Happen’ together?
  • What all demand patterns can I discern from the market data?
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India
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Philippines
2A Redbury Square, 491 Sumulong Highway cor Felix Y. Manalo Sr. Ave, Antipolo City, PH -1870
United States of America
19106 Deer Trail, Alpharetta, GA, 30004
United Kingdom
135 Kings Road, Kingston Upon Thames, England, KT2 5JE, CID- 13410043
India
Unit 111, Sai Paradise, Pune Bangalore H’way, MH 411033, CIN: U72500PN2018PTC178177
Philippines
2A Redbury Square, 491 Sumulong Highway cor Felix Y. Manalo Sr. Ave, Antipolo City, PH -1870
United States of America
19106 Deer Trail, Alpharetta, GA, 30004
United Kingdom
135 Kings Road, Kingston Upon Thames, England, KT2 5JE, CID- 13410043

Copyright by Lydian. All rights reserved. Developed and maintain by Smartscripts Private limited

Copyright by Lydian. All rights reserved. Developed and maintain by Smartscripts Private limited

 

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