TrustRadius
Excellent complementary analysis tool for Excel users.Basically the software has been used in applications associated with the optimization of network models that qualify in the category of transport and transshipment models. This type of models as well as others like the WinQsb are basically used by the department that is under my supervision, and are not commonly used in the organization. The last situation in which it was implemented was to try to model part of the hydrographic network of the Peruvian Amazon where the nodes of the network were possible locations of fuel supply sites, rotation of personnel and raw material proper to the activity that it was modeling, trying to optimize (minimize) the total costs associated with this activity, which were a function of the relative location existing between the potential nodes. Different scenarios were simulated where not only the location but the number of eventual nodes were varied, and also different sensitivity analyzes were carried out in order to evaluate their impact on the selected options.,Without the program being "my favorite" it is necessary to recognize that handling in the Excel application environment provides it with a feature with a high added value, compared to other softwares that do not have those characteristics, which makes the handling of data from external sources is easier. In addition to its inherent quality of general data analysis, I can also highlight the areas in which I have used it (field of linear optimization, simplex method and non-linear optimization, network models) where it has allowed me to model, simulate and analyze different situations with great success. I could say that the limitations are not the program but mine as a user of it. Unlike other software that I have used (WinQsb and Lingo, for example), it presents an acceptable customer service.,On the few occasions when I have used it to deal with problems of optimization of relatively large parameters (with a large number of restrictions and decision variables), the program has been slower, not substantially but slower, than programs such as the WinQsb, even when the latter runs on 32-bit machines and not 64. That has caught my attention, even though it is not a real problem for the uses I give to the program. Given my partial function as a university professor, it has been much more effective and practical to use other software, due to the limited options that the educational license associated with the software has.,9,- It has allowed finding ways to optimize (minimizing costs or times) the field processes involved in various projects. It has even allowed, in specific cases where it was used for that purpose, to optimize the allocation of resources (people) to work in different jobs that present weekly variations of the activity that these people must perform. It has allowed the sensitivity analysis of projects to changes in the decision variables related to them, which, and in very dynamic and changing environments, resulted in substantial decreases in money losses.,JMP Statistical Discovery Software from SAS and MATLAB,MATLAB, JMP Statistical Discovery Software from SAS, AlexaSimple & Easy Solver for optimizationMy organisation is using it for optimization problems related to raw material and finished goods for their shipments and production planning purposes. It is used only in my function- sales and operations planning. This tool is useful for the company who wants to build the optimization model in Excel for quick strategic and tactical decisions. Solver is easy to understand and learn. My company is using Solver for product optimization, manufacturing plan and raw material planning. It helps busineses to understand the financial estimates across the distribution network. It helps to provide the feasible solution for production to produce what product at what location in an optimized manner.,Easy to use and learn. Strong optimization platform for business and supply chain problems which can be modeled in Excel It can handle multiple objectives and more than 8000 decision variables in a problem. Lots of tutorial and examples are available to solve the problem,Can not handle stochastic modelling Difficult to work on the non-linear program Managing the data is difficult using the big models in the tool,8,Excel Solver and Lingo,Microsoft Access, Microsoft BI, MS SharePoint / SQL, SAP BusinessObjects BI Platform, SAP Data Services
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Analytic Solver
3 Ratings
Score 8.4 out of 101
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Analytic Solver Reviews

Analytic Solver
3 Ratings
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Score 8.4 out of 101
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Rafael Becemberg profile photo
December 11, 2018

Analytic Solver Review: "Excellent complementary analysis tool for Excel users."

Score 9 out of 10
Vetted Review
Verified User
Review Source
Basically the software has been used in applications associated with the optimization of network models that qualify in the category of transport and transshipment models.
This type of models as well as others like the WinQsb are basically used by the department that is under my supervision, and are not commonly used in the organization.
The last situation in which it was implemented was to try to model part of the hydrographic network of the Peruvian Amazon where the nodes of the network were possible locations of fuel supply sites, rotation of personnel and raw material proper to the activity that it was modeling, trying to optimize (minimize) the total costs associated with this activity, which were a function of the relative location existing between the potential nodes.
Different scenarios were simulated where not only the location but the number of eventual nodes were varied, and also different sensitivity analyzes were carried out in order to evaluate their impact on the selected options.

  • Without the program being "my favorite" it is necessary to recognize that handling in the Excel application environment provides it with a feature with a high added value, compared to other softwares that do not have those characteristics, which makes the handling of data from external sources is easier.
  • In addition to its inherent quality of general data analysis, I can also highlight the areas in which I have used it (field of linear optimization, simplex method and non-linear optimization, network models) where it has allowed me to model, simulate and analyze different situations with great success.
  • I could say that the limitations are not the program but mine as a user of it.
  • Unlike other software that I have used (WinQsb and Lingo, for example), it presents an acceptable customer service.
  • On the few occasions when I have used it to deal with problems of optimization of relatively large parameters (with a large number of restrictions and decision variables), the program has been slower, not substantially but slower, than programs such as the WinQsb, even when the latter runs on 32-bit machines and not 64. That has caught my attention, even though it is not a real problem for the uses I give to the program.
  • Given my partial function as a university professor, it has been much more effective and practical to use other software, due to the limited options that the educational license associated with the software has.
Based on my limited experience and use, and therefore limited global knowledge of the software, I would recommend it especially if the data that will be used as inputs to the model has previously worked on a spreadsheet such as Excel.
I would also recommend it to analyze problems of medium and small size. Given the experience I have had when I have used it with large problems, there have been noticeable decreases in the speed of response (which are not associated with the size of the system of equations involved in the calculation). Excellent for processing linear programming models.

Read Rafael Becemberg's full review
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October 27, 2017

Analytic Solver Review: "Simple & Easy Solver for optimization"

Score 8 out of 10
Vetted Review
Verified User
Review Source
My organisation is using it for optimization problems related to raw material and finished goods for their shipments and production planning purposes. It is used only in my function- sales and operations planning. This tool is useful for the company who wants to build the optimization model in Excel for quick strategic and tactical decisions. Solver is easy to understand and learn. My company is using Solver for product optimization, manufacturing plan and raw material planning. It helps busineses to understand the financial estimates across the distribution network. It helps to provide the feasible solution for production to produce what product at what location in an optimized manner.
  • Easy to use and learn.
  • Strong optimization platform for business and supply chain problems which can be modeled in Excel
  • It can handle multiple objectives and more than 8000 decision variables in a problem.
  • Lots of tutorial and examples are available to solve the problem
  • Can not handle stochastic modelling
  • Difficult to work on the non-linear program
  • Managing the data is difficult using the big models in the tool
1. It is good tool for a mathematical model which is a single period and deterministic model
2. It is good for the users who are comfortable in handling the Excel Solver and needs to upgrade the Excel Solver for more than 200 variables
3. It works well for the multiple objective problems.
4. Difficult to manage the big model as 100 constraints and 2000 variables can limit the use of the tool's efficiency.
5. Its limitation is that a model designer can not make a big and complex model.
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About Analytic Solver

Frontline Systems Analytic Solver is an Excel add-on for performing data mining, and predictive analytics from within Microsoft Excel.
Categories:  Predictive Analytics

Analytic Solver Technical Details

Operating Systems: Unspecified
Mobile Application:No