Executive Summary

  • This is the Brightwork Research & Analysis software rating series.
  • We rate both the software and estimate the risk of implementing each application.

MUFI Rating & Risk for PlanetTogether

MUFI: Maintainability, Usability, Functionality, Implement ability

Vendor: PlanetTogether (Select For Vendor Profile)


PlanetTogether has created a substantial portion of the overall applied innovation in production planning and scheduling over the past ten years. (We are aware of many of the innovative features in AspenTech, but the statement still holds as much of AspenTech’s innovation was developed over ten years ago.) PlanetTogether is a perfect example of something we repeatedly observe about enterprise software – the most innovation comes from the smallest, not the largest company.

Application Detail

If most buying companies understood how to evaluate enterprise software, PlanetTogether’s would be the most widely deployed production planning and scheduling application. Even many of PlanetTogether’s current customers do not know what the application can do because its functionality is so deep that a buying company may only be deploying a small fraction of PT’s functionality. To provide a good accounting of this application, we have listed the following bullet points:

  1. The only multi-plant planning application (this means the ability to plan multiple plants as if they are one location) that naturally accounts for lead times between locations.
  2. Multi-User – any user can plan any plant or groups of plants that they have the authority to plan.
  3. A leading edge duration based optimizer – combined with the ability to prioritize almost any KPI (that is to adjust the duration optimizer by KPIs – including financial KPIs – meaning PT is the only system allowing production to be optimized with throughput accounting principles). PT has 30+ manufacturing based KPI, including cost & profit KPI that are tracked within and across any number of scenarios.
  4. Shop floor data collection capabilities.
  5. Has functionality to use a “synchronous manufacturing” approach with strategic buffer management at key control points to protect against the inevitable variation of manufacturing’s reality.
  6. PT not only has the best master data management and update capabilities in its software category, but it is also one of the best master data management and update capabilities that we have measured of any enterprise software application.
  7. PT has our best-rated user interface in its category. It is both easy to use, and scales in that the user learns a great deal as they use it.
  8. Co-Pilot. PT has developed an automated system for simulation that merely runs in the background when processing is available and comes up with improved solutions. This Co-Pilot functionality can run at any time – and may run intensively overnight testing many different combinations. This is we believe an entirely new concept – and is a huge improvement for the vast majority of companies that lack time to perform simulation through other approaches.
  9. Subcontracting – while most subcontracting functionality in both ERP and other planning systems is complex and trouble-prone, subcontracting in PT works very smoothly. This in part comes down to a design feature that also makes the application appropriate for multi-plant planning.
  10. Capable of promising (CTP) – PT is indeed a Swiss Army Knife. In most advanced planning application like APO, Capable to Promise rarely works. However, secondly, it is a separate module – with separate licensing and consulting and maintenance costs. In APO this module is called GATP is and separate from their production planning and scheduling application called PP/DS. However, with PT, CTP is included. In PT, CTP requires minimal configuration or implementation work; it is mostly a natural consequence of simply implementing the application.

PT is an application that can handle many manufacturing environments. It can easily manage discrete and repetitive manufacturing, and can perform “light” process batch and continuous manufacturing planning and scheduling – which we classify as environments like food and beverage, but gives way to AspenTech for “heavy” process batch and continuous industry manufacturing which we classify as anything from petroleum to petrochemical manufacturing.

Optimization Rule 2

Optimization rules — or augmentations to the optimization objective function of minimizing duration — can be added. An optimization rule is created by moving sliders in any of the optimization rule categories (Delivery Date, Priority, Efficiency, Operation Attributes, Material Groupings, and Ranges). A combination of all of the sliders makes up an optimization rule, which is then saved. Multiple optimization rules can be created and then assigned to the optimization planning run.

Optimization Rule Weights

Here you can see the weights that have been applied to each Optimization Rule. You can add any number of Optimization Rules. Beyond that, not only can Optimization Rules be assigned to the overall model, but also to individual Resources as the screenshot below shows. 

Resource Optimization Rule

For this Resource, the Optimization Rule 1 is applied. Also, notice that there is an Experimental Rule. Experimental Rules tend to be used during simulation.

PlanetTogether’s PT is our recommended choice for all but the heavy process industries. Buyers can expect PT to come up quickly, and for the system to have a higher user adoption. Long-term support from PlanetTogether is excellent, and the application is continually growing, meaning buyers will benefit even more in the future from implementing PT.

MUFI Scores

All scores out of a possible 10.

MUFI Scores

Search for the vendor in this table using the search bar in the upper right of the table. Shortening Key: 
  • Ma. = Maintainability
  • Us. = Usability
  • Fu. = Functionality
  • Im. = Implementability
Average Score for Big ERP5. ERP
Average Score for CRM6.
Average Score for Small and Medium ERP8.386.78.5Small and Medium ERP
Average Score for Finance8.88.888.8Finance
Average Score for Demand Planning7.67.277.1Demand Planning
Average Score for Supply Planning6.76.976.8Supply Planning
Average Score for Production Planning6.86.976.9Production Planning
Average Score for BI Heavy5. Heavy
Average Score for PLM77.26.87.3PLM
Average Score for BI Light7.78.798.3BI Light
Arena Solutions Arena PLM 10101010PLM
AspenTech AspenOne48107Production Planning
Birst 88.5108BI Light
ERPNext10107.510Small and Medium ERP
Delfoi Planner866.57Production Planning
Demand Works Smoothie SP910710Supply Planning
Hamilton Grant RM1098.59PLM
IBM Cognos2.731.53BI Heavy
Infor Epiphany7865CRM
Infor Lawson8767Big ERP
Intuit QuickBooks Enterprise Solutions9959Finance
JDA DM97.588Demand Planning
Microsoft Dynamics CRM2322CRM
NetSuite CRM6433CRM
Netsuite OneWorld7788Big ERP
Oracle BI4436BI Heavy
Oracle CRM On Demand4535CRM
Oracle Demantra533.54.5Demand Planning
Oracle JD Edwards World4136Big ERP
Oracle RightNow6745CRM
PlanetTogether Galaxy APS10101010Production Planning
Preactor8737Production Planning
QlikTech QlikView99109BI Light
Rootstock9899Small and Medium ERP
Sage X38878Big ERP
Salesforce Enterprise88.597.5CRM
SAP APO DP3432Demand Planning
SAP APO PP/DS2243Production Planning
SAP APO SNP3484Supply Planning
SAP BI/BW1.5242BI Heavy
SAP Business Objects32.573BI Heavy
SAP ECC336.53Big ERP
SAP SmartOps4475.5Supply Planning
SAS BI6.5796BI Heavy
SAS Demand Driven Forecasting7897Demand Planning
Tableau (BI)9101010BI Light
Tableau (Forecasting)10859Demand Planning
Teradata86.39.76BI Heavy
ToolsGroup SO99 (Forecasting)7897Demand Planning
ToolsGroup SO99 (Supply)56107Supply Planning

Vendor and Application Risk

Buyers of PT have every possible advantage working their direction. PT is one of the highest rated applications we have ever rated. It is a rare situation where a buyer has the opportunity to purchase software that is both the functionality leader in its category, along with being highly implementable and user-friendly.

Likelihood of Implementation Success

This accounts for both the application and vendor-specific risk. In our formula, the total implementation risk is application + vendor + buyer risk. The buyer specific risk could increase or decrease this overall likelihood and adjust the values that you see below.

Likelihood of Application Implementation Success and Failure

Estimates are for a typical project. A specific implementation requires details from the project to make a project-specific estimate.

Search for the application in this table using the search bar in the upper right of the table.
ApplicationProb of Implementation SuccessProb of Implementation Failure
SAP Smartops0.390.61
NetSuite CRM0.460.54
Sugar CRM0.620.48
Base CRM0.910.09
SAP CRM0.350.65
Salesforce Enterprise0.720.28
QlikTech QlikView0.820.18
Tableau (BI)0.980.02
SAP Crystal Reports0.460.54
SAS BI0.760.24
Oracle BI0.350.65
IBM Cognos0.230.77
Infor Epiphany0.580.42
Microsoft Dynamics CRM0.260.74
Oracle RightNow CRM0.410.59
Oracle CRM On Demand0.360.64
SAP Business Objects0.320.68
SAP BI/BW0.250.75
SAP PLM0.290.71
Hamilton Grant RM0.890.11
Arena Solutions0.960.04
Delfoi Planner0.70.3
PlanetTogether Galaxy APS0.960.04
AspenTech AspenOne0.550.45
SAP APO PP/DS0.270.73
Demand Works Smoothie SP0.930.07
ToolsGroup SO99 (Supply)0.820.18
Demand Works Smoothie0.960.04
Tableau (Forecasting)0.90.1
SAS Demand Driven Forecasting0.820.18
ToolsGroup SO99 (Forecasting)0.860.14
JDA DM0.570.43
Oracle Demantra0.330.67
SAP APO DP0.280.72
Intuit QB Enterprise0.80.2
Microsoft Dynamics AX0.40.6
SAP Business One0.490.51
Sage X30.620.38
Infor Lawson0.580.42
Epicor ERP0.40.6
Oracle JD Edwards World0.310.69
Oracle JD Edwards EnterpriseOne0.360.64
SAP ERP ECC/R/30.320.68
NetSuite OneWorld0.650.35

Risk Definition

See this link for more on our categorizations of risk. We also offer a Buyer Specific Risk Estimation as a service for those that want a comprehensive analysis.

Risk Management Approach

The only implementation issues that a buyer of PT can expect to fact are the traditional issues that face production planning and scheduling projects. PlanetTogether has tended to be implemented by smaller companies – the only reason being they do not have the brand recognition of being associated with a major software vendor. As such they have become acclimated to having their software implemented in clients with quite limited resources. However, they have recently completed a 28 plant implementation and this has demonstrated PlanetTogether’s ability to handle larger clients.

We predict PlanetTogether will eventually be recognized for its excellent software and will become a significantly bigger company and will be implemented by larger buyers, buyers with much more resources. A PT implementation is one that any project manager should look forward to, as it has a high likelihood of adding significant value to the buyer.

Finished With Your Analysis?

To go back to the Software Selection Package page for the Production Planning software category. Or goto this link to see other analytical products for PlanetTogether.