Support

Trouble Report

For immediate assistance browse through our support center. You can find answers to many questions in just a few minutes.

If still experiencing problems, send us a report.

required
Why the math question?

Online Simulation

And More

  1. Knowledge-based systems
  2. Discrete element model (DEM)
  3. Particle adhesion
  4. Van der waals force
  5. Hamaker constants
  6. Process modeling
  7. Particle-based computations
  8. Molecular modeling
  9. Johanson's model
  10. Roller compaction
  11. Statistical model building
  12. Dry granulation
  13. Visualization
  14. Active pharmaceutical ingredient (API)
  15. Surface roughness
  16. Fast fourier transform
  17. Crystal graph

Other

MOPP

Multipurpose Operation Production Planner

Launch Tool

You must login before you can run this tool.

Version 1.0 - published on 15 May 2009

This tool is closed source.

View All Supporting Documents

See also

No results found.

Description

The Multipurpose Operation Production Planner (MOPP) is an Advanced Planning and Scheduling package (APS) constituting a flexible tool capable to assist the user (plant operator, educator, trainee, student) in decision making of production planning and detailed scheduling of complex systems. As such it can be used as a supporting tool for real, industrial size applications, for teaching purposes with examples of increasing complexity, for the students in self training mode (a tutorial is provided) and operators training. MOPP is specially useful in the pharmaceutical sector. It accepts the detailed recipe description, even if complex branched recipes are contemplated. The friendly input-output interface incorporates a Gantt chart where the detailed scheduling is shown including all kind of utilities profiles used along time (manpower, steam, electric power, vacuum, etc.) MOPP’s functionalities include among others: simulation, optimization, real time rescheduling, batch identification & tracking, calendar, constrained inventory. A User’s Manual including a step by step procedure is available.

credits

European Commission support (projects: EUROBATCH JOU1 CT90-0043; JOUE-0043-SMA; BOLD ESPRIT project 23374) is thankfully acknowledged. The Interdepartmental Commission of the Generalitat de Catalunya (CIRIT projects QFN89-4006; QFN90-4107;REFLEX QFN95-4702) is also gratefully acknowledged.

sponsoredby

Universitat Politecnica de Catalunya, Chemical Engineering Department, CEPIMA research group.

references

Bonfill, A., Espuña, A, Puigjaner, L., “ Proactive approach to address the uncertainty in short-term scheduling”, Computers ans Chemical Engineering, 32, ISSN: 0098-1354, pp. 1689-1706, (2008). Ferrer-Nadal, S.; Puigjaner, L.; Guillén-Gonsálvez, G.; “Managing risk through a flexible recipe framework”, AIChE Journal, 53(3), ISSN: 0001-1541 , pp. 728-740, (2008) Arbiza, J.M., Bonfill, A., Guillén,G., Mele, F., Espuña,A., Puigjaner, L. “Methauristic multiobjective optmisation approach for the scheduling of multiproduct batch dynamical plants”, Journal of cleaner productions, 16, ISSN: 0959-6526, pp. 233-244, (2008) Ferrer-Nadal, S; Méndez, C; Graells, M; Puigjaner, L; “Optimal reactive scheduling of manufacturing plants with flexible batch recipes”, Ind. Eng. Chem. Res., 46, ISSN:0888-5885, pp. 6273-6283, (2007). Puigjaner, L.; “Extended modeling framework for heat and power integration in batch and semi-continuous processes”, Chemical Product and Process Modeling, 2 (3), ISSN: 1934-2659, Article 24, http://www.bepress.com/cppm/vol2/iss3/24, (2007).

Cite this work

Researchers should cite this work as follows:

MOPP as a whole is a proprietary software developed by UPC-CEPIMA

  • George A. Howlett; Luis Puigjaner; Rex Reklaitis (2008), "MOPP," http://pharmahub.org/resources/mopp.

    BibTex | EndNote

Tags
  1. Modeling
  2. Recipe representation
  3. Scheduling optimization

Supporting Documents