Products

SCP Cloud Suite

Saddle Point Supply Chain Planning Cloud Suite is a fully integrated, easily configurable and feature rich cloud based planning suite with a SaaS offering. Planning modules like Demand Planning, Supply Network Planning, Production Planning, Production Scheduling, Inventory Planning, Procurement Planning, Transportation Planning, Vehicle Route Planning, Workforce Planning, Shift Scheduling etc. make this an ideal platform for an end-to-end integrated planning across the organization.

The cloud based SCP solution is extremely useful for mid sized companies looking for an user friendly, feature rich and cost effective solution.

Planning Modules

The following modules are supported

Demand Planner Inventory Optimizer
Supply Network Optimizer Production Planner
Procurement Optimizer Transportation Optimizer
Production Scheduler Vehicle Route Planner
Workforce Planner Shift Scheduler
Container Optimizer Facility Location Optimizer

Features

  • A complete cloud based offering without any client side installation
  • A multi tenant, multi user platform with fully integrated planning modules for end to end planning
  • Options for both Optimization and Heuristics based constrained planning
  • The SaaS based offering lowers the TCO
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Demand Planner

The demand planner uses a forecasting solution that uses Time series, Causal and Composite modeling to forecast sales. The algorithms can accurately detect patterns in the data like seasonality, trend and cyclicality and can forecast based on historical patterns. Algorithms for treating sporadic and intermittent data are also part of the algorithm block. Special algorithms are built into the solution to take care of data anomalies like missing data and negative values. NPI modelling and promotions planning algorithm blocks are also part of the demand planner.

The demand planner is extremely useful for FMCG, Consumer durables and Hi-tech industries.

Features

The following features are supported in the basic version

  • Algorithms for data validation and manipulation
  • Accurate tracking of seasonality, trend and cyclicality in the data
  • Algorithms for sporadic and intermittent demand
  • Modeling of causal factors
  • Option to factor-in both time series and causal in the forecast
  • NPI modelling
  • Promotions planning
  • Simple and effective reports

Case Studies

Demand planning was used in the following industry cases

  • Mid range demand planning was carried out at a company level for procurement planning of food items that had a procurement lead time of 8-10 weeks.
  • Demand forecasting was done at an aggregated level for a beverage company.
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Supply Chain Optimizer

Optimize your Supply Chain by optimizing the procurement (optimal procurement quantity from each supplier), production (optimal product mix and production quantity), inventory (optimal quantity of stock at each warehouse) and transportation (optimal route, quantity and vehicle selection) based on the forecasted demand, various cost elements, customer specific selling prices, availability of raw materials, production capacities, production and transportation lead times and safety stock requirements.

The supply network optimizer is suitable for mid and large sized manufacturing (both process and discrete) companies.

Features

The following functionalities are supported in the basic version (process or discrete) of the supply chain optimizer.

  • Integrated planning for a multi echelon network and multi level BOM
  • Scenario planning with multiple versions of data
  • Modeling both constrained and unconstrained production capacities
  • Set-up time and set-up matrix for batch processes
  • Spoilage for perishable goods
  • Target inventory or safety stock in units or days of sales inventory (DSI)
  • Averaging period for days of sales inventory
  • Prioritization of customers or products or their combinations
  • Possibility for late delivery and permissible late horizon
  • Customer and product specific non delivery penalty
  • Option for planning in daily, weekly and monthly buckets
  • Make or buy decision
  • Maximizing the profit or minimizing the cost or multiple objectives
  • Simple and effective reports

Case Studies

Supply Network Optimizer was used in the following industry cases

  • Procurement, Transportation and Production/Packaging planning was carried out for a food distribution and packaging company with a global supply chain network.
  • Procument and Transportaion Optimization constrained by Handling resources for a Steel and Metal company.
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Production Planner

Production planner has both optimizer based and rule based planner.

Optimize your production with the production optimizer (optimal product mix, production quantity, resource selection), or match demand and supply with the rule based production planner (multi criteria demand and supply prioritization).

The production planning solution is suitable for mid and large sized manufacturing companies.

Features

The following functionalities are supported in the basic version (process or discrete) of the production planning solution

  • Optimizer based planning based on production cost, BOM cost and inventory cost
  • Rule based demand and supply matching
  • Multi criteria prioritization rules for demand and supply
  • Prioritization of customers or products or their combinations
  • Integrated planning for a multi echelon production network and multi level BOM
  • Scenario planning with multiple versions of data
  • Modeling both constrained and unconstrained production capacities
  • Set-up time and set-up matrix for batch processes
  • Spoilage for perishable goods
  • Target inventory or safety stock in units or days of sales inventory (DSI)
  • Averaging period for days of sales inventory
  • Possibility for late delivery and permissible late horizon
  • Customer and product specific non delivery penalty
  • Option for planning in daily, weekly and monthly buckets
  • Make or buy decision
  • Simple and effective reports

Case Studies

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Production Scheduler

Assign your work orders to production resources in an optimal way so that the setup costs are minimized and the production time is reduced. Constraints like preceeding activities, succeeding activities, multi activity resources, inventory points etc. can be modelled.

The production scheduling solution is suitable for mid and large sized manufacturing companies.

Features

The following functionalities are supported in the basic version of the production scheduler

  • Multi level BOM
  • Multi activity resource
  • Set-up time and set-up matrix
  • Inventory points for semi finished goods
  • Simple and effective reports

Case Studies

Production Scheduler was used in the following industry cases

  • Production Scheduling for an Auto Ancilliary business with material constraints, outsourced manufacturing processes for SFG and expedited orders.
  • Production Scheduling for a Capsule manufacturing company with both Batch and Discrete resources.
  • Integrated Production Scheduling for both Tyre Building and Moulding processes for a Tyre manufacturing company.
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Inventory Optimizer

Optimize the inventory levels in a multi node and multi echelon network by considering various parameters like demand variability, supply lead time variability, service level agreements and transportation lead time. Calculation of most of the parameters is automated in the inventory optimization engine.

This solution is particularly suitable for FMCG, Consumer durables and Hi-tech companies.

Features

The following features are supported in the basic version

  • Multi nodal and multi echelon network
  • Demand variability
  • Supply lead time variability
  • Service level agreements
  • Transportation lead time
  • Integrated with the demand planning and production planning engines

Technologies

The core algorithm of the inventory optimizer has been developed in C++. Multiple development and deployment options are available for delivering an integrated solution based on the existing technology stack of the user.

Front-end Java, Excel
Algorithm development language C++
Back-end DB SQL Server, MS Access, Oracle
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Procurement Optimizer

Optimize your procurement plan across multiple vendors by considering volume discounts, supplier capacity, lead time, transportation cost, various taxes etc. Constraints like MOQ, min-max quota, lot size can also be modeled.

The procurement optimizer is suitable for medium and large sized trading companies

Features

Following features are supported in the basic version of the procurement optimizer solution

  • Supplier capacity constraint
  • Volume discount
  • Transportation lead time
  • Min-Max Quota
  • MOQ
  • Lot Sizing constraints
  • Supplier availability calendar, work-day calendar, holiday calendar

Technologies

Procurement optimizer has been developed using both open source solvers and commercial licensed solvers. Multiple development and deployment options are available for delivering an integrated solution based on the existing technology stack of the user.

Front-end Java, VB.net, Excel VBA
Open source optimization modeling languages/solvers Pyomo, COIN-OR (CLP/CBC)
Commercial optimization modeling languages/solvers ILOG OPL, GAMS, AMPL, CPLEX, Gurobi
Back-end DB SQL Server, Oracle, MS Access
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Transportation Optimizer

The transportation optimizer optimizes the transportation plan and minimizes the transportation cost using the available transportation capacities effectively. Fixed cost, variable cost, transportation capacity, transportation time etc. can be modeled.

The transportation optimizer is suitable for large transportaion, cargo or courier companies

Features

Following features are supported in the basic version of the Transportation optimizer

  • Vehicle capacity modeling
  • Vehicle specific transportation time
  • Fixed cost and variable cost of transportation

Technologies

Transportation optimizer has been developed using both open source solvers and commercial licensed solvers. Multiple development and deployment options are available for delivering an integrated solution based on the existing technology stack of the user.

Front-end Java, VB.net, Excel VBA
Open source optimization modeling languages/solvers Pyomo, COIN-OR (CLP/CBC)
Commercial optimization modeling languages/solvers ILOG OPL, GAMS, AMPL, CPLEX, Gurobi
Back-end DB SQL Server, Oracle, MS Access
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Vehicle Route Planner

Efficient distribution of goods and optimal selection of vehicle routes can be done using the route planner. Automatic time and distance calculation, multiple pickup and drop points, fixed and variable cost of transportation, permissible time windows etc. are some of the features of this planner.

The vehicle route planner is suitable for medium and large sized cargo and courier companies

Features

Following features are supported in the basic version of the route planning solution

  • Multiple pickup and drop points
  • Multiple time windows
  • Fixed and variable cost of transportation
  • Vehicle capacity modeling

Technologies

Vehicle route planning solution has been developed using both open source solvers and commercial licensed solvers. Multiple development and deployment options are available for delivering an integrated solution based on the existing technology stack of the user.

Front-end Java, VB.net, Excel VBA
Open source optimization modeling languages/solvers Pyomo, COIN-OR (CLP/CBC)
Commercial optimization modeling languages/solvers ILOG OPL, GAMS, AMPL, CPLEX, Gurobi
Back-end DB SQL Server, Oracle, MS Access
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Workforce Optimizer

Allocate a set of resources with multiple skill sets, different billing rates and different expertise levels to a set of projects requiring varied skill sets at different phases of multiple projects being executed simultaneously while considering constraints like skillset ramp up time, work day calendar, resource holiday calendar etc. in the most cost effective way.

The manpower tool is suitable for medium and large software companies running multiple parallel projects.

Features

Following features are supported in the basic version of the manpower planning solution

  • Multiple projects with multiple phases with phase wise duration
  • Project priority
  • Multi resource multi skill-set matrix
  • Multi level resource expertise
  • Resource requirement as a function of project, phase, skill-set and expertise level
  • Resource skillset ramp-up over time
  • Resource availability calendar, work-day calendar, holiday calendar

Technologies

Manpower planning solution has been developed using both open source solvers and commercial licensed solvers. Multiple development and deployment options are available for delivering an integrated solution based on the existing technology stack of the user.

Front-end Java, VB.net, Excel VBA
Open source optimization modeling languages/solvers Pyomo, COIN-OR (CLP/CBC)
Commercial optimization modeling languages/solvers ILOG OPL, GAMS, AMPL, CPLEX, Gurobi
Back-end DB SQL Server, Oracle, MS Access
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Shift Scheduler

Reduce the drudgery of shift planning with our simple to use shift scheduling tool. Most of the shift allocation rules like limiting the numbers of consecutive night shifts, minimum off time, forbidden consecutive shifts, option for double shifts etc. can be modeled.

The shift scheduling tool is suitable for hospitals, retail outlets and process industries.

Features

The following features are supported in the basic version

  • Different requirements for different skill-sets in different shifts
  • Shift scheduling rules like maximum number of consecutive night shifts, forbidden consecutive shifts, minimum weekly off
  • Double shift with overtime, shift overlaps
  • Resource availability calendar, holiday calendar

Technologies

The shift scheduling solution has been developed in constraint programming using both open source solvers and commercial licensed solvers. Multiple development and deployment options are available for delivering an integrated solution based on the existing technology stack of the user.

Front-end Java, VB.net, Excel VBA
Open source constraint programming languages/solvers ECLiPSe
Commercial constraint programming languages/solvers IBM ILOG CP
Back-end DB SQL Server, Oracle, MS Access
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Facility Location Optimizer

Facility location optimizer is a supply network design solution that is used to find the best location for plants and warehouses so that the total supply chain costs are minimized. This solution can also be used to rationalize the existing facilities based on demand shifts and changes in cost structure. A candidate simulator simplifies the selection of candidate locations and the marginal cost analysis reports give a detailed analysis of the cost savings in the supply network.

 

Industry Solutions

Facility location optimizer is used to rationalize the supply network based on

  • Geographical shifts in demand
  • Long term shifts in operating cost
  • Tax breaks for opening and operating new facilities
  • Latent cost locked in existing facilities
  • Improving the delivery service levels

Features

The main features of the solution are

  • Simulation of candidate location based on statistical analysis
  • Various cost elements like sunk costs, fixed and variable costs and proceedings are considered
  • Delivery service levels and transportation lead times are considered
  • Integrated with maps, optimization and analytical framework
  • Marginal cost analysis can be done for the network
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