Process Management - Science topic

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Some of the best methodologies used to implement Process Management in an enterprise include Six Sigma, Lean Management, Business Process Reengineering (BPR), Total Quality Management (TQM), and the Capability Maturity Model Integration (CMMI).

You can use Six Sigma with DEMAiC steps,

By defining Lower and upper specification limit and then calculating Process Capability & Process Capability Index to improve the process, don't miss also FMEA analysis.

Good luck

Hi Hartmut,

Did you ask ChatGPT about this?

Here is ChatGPT's answer to a question similar to yours.

«ChatGPT can be a valuable tool in process management in several ways:

Overall, ChatGPT can be a versatile tool for process management, offering support across various stages of the process lifecycle, from documentation and training to optimization and decision-making. Its ability to understand natural language and generate contextually relevant responses makes it well-suited for addressing a wide range of process-related challenges and requirements.»

IMHO, different uses will vary much with the class of process. In admin-repetitive processes, AI-assisted RPA (Robotic Process Autom'n) may be an excellent tool.

Regards

Manolo

It can happen due to several reasons (re-installing might not fix the issue)..

1. proper steps followed or not

2. always rename the files without spaces (use "_" if required)

3. Parameter file should have parameters for the atoms in the workspace.

These are some of the reasons..

Regards

Following this project. Because I am about to embark on some agile projects myself.

Could you read this : https://www.processmaker.com/blog/improving-business-efficiency-process-mapping-techniques-tools/

During the SARS-CoV-2 (Covid-19) coronavirus pandemic, interest rates were significantly lowered in 2020 as an instrument of interventionist, mild, anti-crisis monetary policy. However, now (October 2021) economic growth is so high and inflation is also increasing additionally that central banks have started to raise interest rates again.

What do you think about it?

Thank you very much,

Best regards,

Dariusz Prokopowicz

It is necessary to invest in new technical solutions, new technologies, automation of production processes, minimizing the failure of equipment, introducing simplified technological solutions. Raising the qualifications of employees.

As we have already said, a process may be defined as a set of interrelated or interacting activities which transforms inputs into outputs. Consequently, each activity, or a set of activities which receives inputs and transforms them into outputs may be considered a process. To function efficiently, organizations have to identify numerous interrelated and mutually interacting processes. Inputs into a process are usually outputs from other processes. Consistent and predictable results are recorded more effectively and efficiently when activities are explained and managed as an interrelated process functioning as a single coherent system. Understanding how results appeared using such a system, including all its processes, resources, management and interrelations, enables the organization to optimize its performance.

Hello, I am trying to do a simulation all my stream appeared correct but when I run the simulation a message shows:

Main Process Flowsheet:

Section GLOBAL:

BLOCK not complete: BLKID = ABSORB

Required outlet port: P(OUT) does not have stream connected

BLOCK not complete: BLKID = PUMP

Required outlet port: P(OUT) does not have stream connected

could any one help le to solve the prob

i cant agree more with Chris. i think both will reflect a subjective look and combining them together will be "a risky" option as well as it will be based on simulations and subjective/weighted criteria. i believe both needs to be measured seperatley then used to inform the decesion making process feeding into the over all risk framework to provide proactive measures to offer more control

Interesting.

Yes. It is fairly extensively being used in Indian Financial Sector, particularly by Private Banks.

@ Leila Bashir - The primary difference between procedural Vs process based companies would be around performance, repeatability (quality) and so customer satisfaction. Processes are designed and fit for purpose (ie. have control plans) with defined performance measures to ensure customer needs are met. Procedures are written by an SME (usually separated from the work being done, and usually written to satisfy a third party or regulatory requirement rather than a customer requirement). Procedures rarely have measures defined within them and can lack stability and quality if their content is open to interpretation.

Dear Mohammad Mahafdhah,

the use of Artificial Intelligence (AI), especially the AI part Machine Learning (ML), in the IoT is an enormously broad, important and future-oriented area of research. The use of AI in the IoT allows the design of AI-Powered IoT devices and services. These form the basis for Cognitive IoT. By using AI in IoT several important benefits can be achieved - especially through research in the following Reaearch Areas (RA):

RA1: Visual recognition ability of IoT devices: Pattern / Image / Object recognition, Situation recognition

RA2: Audio pattern recognition using the IoT devices: Speech / Voice / Melody / Noise recognition,

RA3: Ability of IoT devices: Real time objects detection, classification and recognition

RA5: Detecting anomalies in the IoT – Self Adaptive IDS (Intrusion Detection System)

RA7: Adaptive Trust Systems in the IoT; Adaptive trust estimation

RA8: Adaptive Sensing in IoT; Environment parameter estimation

The use of AI in IoT - particularly in the areas of RA5, RA6 and RA7 - will play an important role in improving cybersecurity in the future.

If you consider functional parts of the IoT (see my illustration "IoT - his family") for the RAs mentioned here, you will find some interesting topics for the dissertation. My list of literary sources should help.

Good luck and best regards

Anatol Badach

W. Malini Prema Kumari: ARTIFICIAL INTELLIGENCE MEET INTERNET OF THINGS http://www.irjcs.com/volumes/vol4/iss09/11.SISPCS10098.pdf

AI-Powered IoT Devices

M. Abu Alsheikh, S. Lin, D. Niyato and H.-P. Tan: Machine Learning in Wireless Sensor Networks: Algorithms, Strategies, and Applications https://arxiv.org/pdf/1405.4463.pdf

A. Jaokar: An Introduction to Deep Learning and it’s role for IoT/ future cities https://www.datasciencecentral.com/profiles/blogs/an-introduction-to-deep-learning-and-it-s-role-for-iot-future

M. S. Mahdavinejad, M. Rezvan, M. Barekatain, P. Adibi, P. Barnaghi, A. P. Sheth: "Machine Learning for Internet of Things Data Analysis: A Survey" https://www.sciencedirect.com/science/article/pii/S235286481730247X

H. Li, K. Ota and M. Dong: Learning IoT in Edge: Deep Learning for the Internet of Things with Edge Computing https://zapdf.com/learning-iot-in-edge-deep-learning-for-the-internet-of-thing.html

M. Mohammadi, A. Al-Fuqaha, S. Sorour and M. Guizani: Deep Learning for IoT Big Data and Streaming Analytics: A Survey https://arxiv.org/pdf/1712.04301.pdf

RA 1: Visual recognition ability of IoT devices

Alberto M. C. Souza and Jos´e R. A. Amazonas: A Novel IoT Architecture with Pattern Recognition Mechanism and Big Data https://www.riverpublishers.com/journal/journal_articles/RP_Journal_2246-137X_134.pdf

H.-T. Tseng, H.-G. Hwang, W.-Y. Hsu, P.-Ch. Chou and I-Ch. Chang: IoT-Based Image Recognition System for Smart Home-Delivered Meal Services http://www.mdpi.com/2073-8994/9/7/125

J. Su, D. Vasconcellos Vargas, S. Prasad, D. Sgandurra, Y. Feng and K. Sakurai: Lightweight Classification of IoT Malware based on Image Recognition https://arxiv.org/abs/1802.03714

Situation Modeling and Recognition http://web.media.mit.edu/~singhv/SituationRecognition.html

A. Kapoor, S. I Bhat, S. Shidnal and A. Mehra: Implementation of IoT (Internet of Things) and Image processing in smart agriculture https://ieeexplore.ieee.org/document/7779434/

P. Hirmer, M. Wieland, et al.: Situation recognition and handling based on executing situation templates and situation-aware workflows https://dl.acm.org/citation.cfm?id=3047633

Ch. Mammadova, H. B. Hmida,A. Braun and A. Kuijper:New Approach for Optimizing the Usage of Situation Recognition Algorithms Within IoT Domains https://link.springer.com/chapter/10.1007%2F978-3-319-56997-0_15

J. Su, D. Vasconcellos Vargas, S. Prasad, D. Sgandurra, Y. Feng and K. Sakurai: Lightweight Classification of IoT Malware based on Image Recognition

RA2: Audio pattern recognition using the IoT devices

N. D. Lane, S. Bhattacharya, P. Georgiev, C. Forlivesi and F. Kawsar: An Early Resource Characterization of Deep Learning on Wearables, Smartphones and Internet-of-Things Devices http://niclane.org/pubs/iotapp15_early.pdf

S. Bhattacharya and N. D. Lane: Sparsification and Separation of Deep Learning Layers for Constrained Resource Inference on Wearables http://niclane.org/pubs/sparsesep_sensys.pdf

RA3: Real time object detection, classification and recognition

E. Arıbaş and E. Dağlarlı: Realtime object detection in IoT (Internet of Things) devices https://ieeexplore.ieee.org/document/7960690/

RA4: Self Adaptive IoT applications

Y. Abuseta: Towards an MDD Based Framework for Self Adaptive IoT Applications Development https://arxiv.org/ftp/arxiv/papers/1803/1803.02889.pdf

N. Moraes do Nascimento and C. J. Pereira de Lucena: "FIoT: An Agent-Based Framework for Self-Adaptive and Self-Organizing Applications based on the Internet of Things" https://fardapaper.ir/mohavaha/uploads/2017/09/FIoT-An-Agent-Based-Framework-for-Self-Adaptive-and.pdf

M. Hussein, S. Li and A. Radermacher: Model-driven Development of Adaptive IoT Systems http://ceur-ws.org/Vol-2019/modcomp_3.pdf

RA 5: Detecting anomalies in the IoT

V. A. Desnitsky, I. V. Kotenko and S. B. Nogin:Detection of Anomalies in Data for Monitoring of Security Components in the Internet of Things https://ieeexplore.ieee.org/document/7190452/

R. Ferrando and P. Stacey: Classification of Device Behaviour in Internet of Things Infrastructures: Towards Distinguishing the Abnormal From Security Threats https://arrow.dit.ie/cgi/viewcontent.cgi?article=1156&context=engscheleart2

S. Ahmad, A. Lavin, S. Purdy and Z. Agha: Unsupervised real-time anomaly detection for streaming data https://www.sciencedirect.com/science/article/pii/S0925231217309864

S. Ahmad, S. Purdy: Real-Time Anomaly Detection for Streaming Analytics https://arxiv.org/pdf/1607.02480.pdf

H. HWJ Bosman, G. Iacca, A. Tejada, H. J. Wörtche, A. Liotta: Spatial anomaly detection in sensor networks using neighborhood information https://www.sciencedirect.com/science/article/pii/S1566253516300252

H. HWJ Bosman: Anomaly detection in networked embedded sensor systems https://pure.tue.nl/ws/files/31668745/20160912_Bosman.pdfAnomaly

JP Vasseur and M.G. Seewald: Threat Detection and Mitigation for IoT Systems using Self Learning Networks (SLN) https://docbox.etsi.org/Workshop/2016/201606_SECURITYWS/S05_MITIGATINGMECHANISMS/CISCO_SEEWALD.pdf

RA6: Machine learning for IoT Security & Privaty support

F. Restuccia, Member, S. D’Oro and T. Melodia: "Securing the Internet of Things: New Perspectives and Research Challenges" https://arxiv.org/pdf/1803.05022.pdf

S. Kaplantzis, A. Shilton, N. Mani and Y. Sekercioglu: Detecting Selective Forwarding Attacks in Wireless Sensor Networks using Support Vector Machines https://pdfs.semanticscholar.org/1364/90cbfdec54735532a977a6d36d488eb14dca.pdf

J. Ca˜nedo and A. Skjellum: Using Machine Learning to Secure IoT Systems https://ieeexplore.ieee.org/document/7906930/

A. Balaji Buduru: An Adaptive Approach to Securing Ubiquitous Smart Devices in IoT Environment with Probabilistic User Behavior Prediction https://repository.asu.edu/attachments/176569/content/Buduru_asu_0010E_16584.pdf

RA7: Adaptive Trust Systems in the IoT; Adaptive trust estimation

H. Son, N. Kang, B. Gwak and D. Lee: An Adaptive IoT Trust Estimation Scheme Combining Interaction History and Stereotypical Reputation https://ieeexplore.ieee.org/document/7983132/

RA8: Adaptive Sensing in IoT; Environment parameter estimation

Machine Learning in IoT for Autonomous, Adaptive Sensing https://ercim-news.ercim.eu/en110/r-i/machine-learning-in-iot-for-autonomous-adaptive-sensing

F. Kraemer, N. Tamkittikhun and A. Eivind Bråten: Machine Learning in IoT for Autonomous, Adaptive Sensing https://www.researchgate.net/publication/318378134_Machine_Learning_in_IoT_for_Autonomous_Adaptive_Sensing

F. Kraemer: Autonomous Adaptive Sensing for Energy-Efficient IoT Applications https://www.ntnu.edu/documents/139931/1275097249/eecs-seminar.pdf/c1754365-647d-47b8-b213-6870d22448cc



Another references are:

· HEIs Quality Improvement Through Students and Academic Staff’s Perception: Data Analysis and Robustness of the Results. International Journal for Quality Research, 2017, Vol.11, No.2, pp.261-278.

· Al-Farahidi Performative model to assess HEIs. 4th OQNHE Conference 2017, pp.1-15.

· A Framework for Fostering the Quality of HEIs: Data Collection, Evaluation, Indication and Validation. Int. J. of Quality and Innovation, 2016, Vol.3, No.1, pp.42-66 (Inderscience).

Hi Juan

An interesting question. I was attracted to it by the "Process Management", but then distracted by the "abstract" where you discuss quality policy and objectives.

I have done research on why companies use process mapping systems,(see article in RG), but found it hard to get effective answers that would address your question above.

It would be interesting to discuss your question/project further.

James

Shadow IT is being qualified as IT systems / solutions / services adopted by certain business units within an organization without explicit IT department endorsement / approval. Such challenges include:

Dynamic capabilities are a transversal topic between strategy and organization. Therefore, it is first necessary to define organizational factors that are different from dynamic capabilities and then to study the type of reciprocal influence in my view. See 

 2012: “Dynamic capabilities: a still unexplored issue with growing complexity” V. Della Corte, G. Del Gaudio, Corporate Ownership & Control, Vol. 9 N. 4, pp. 327-338, ISSN: 1727-9232

Process management and organization performance are two separate research topics. 

Organization performance efficiency however depends upon how good process management  has been implemented in an organization.

The following papers may be useful in those regards.

In the UK a number of large and small industries have started using lean and six sigma. Public sector organisations like NHS in particular are involved in several lean and six sigma projects. You may also refer to following papers on lean and six sigma that will give you a broad overview of what companies in EU/UK think about these tools

Belekoukias, I., Garza-Reyes, J. A., & Kumar, V. (2014). The impact of lean methods and tools on the operational performance of manufacturing organisations. International Journal of Production Research, 52(18), 5346-5366.

L. Kirham, J. A. Garza-Reyes, V. Kumar, and J. Antony, (2014), Prioritisation of operations improvement projects in the European manufacturing industry, International Journal of Production Research, 52 (18 ), 5323-5345

J. H. Lee, J. A. Garza-Reyes, V. Kumar, L. Rocha-Lona, N. Mishra, (2013), A comparative study of the implementation status of Lean Six Sigma in South Korea and the UK, Advances in Sustainable and Competitive Manufacturing Systems, Lecture Notes in Mechanical Engineering, 1489-1502

S. Withers, J. A. Garza-Reyes, V. Kumar, and L. Rocha-Lona, (2013), A Case Study Improvement of a Testing Process by Combining Lean Management, Industrial Engineering and Automation Methods, International Journal of Engineering and Technology Innovation (IJETI), 3 (3), 134-143

P.J. Byrne, V. Kumar, and M. Brady, (2013), The Role of Process Improvement in Healthcare: A Case Study of A Large Irish Hospital, 20th International Annual European Operations Management Academy (EurOMA) conference,  7th-12th June 2013, Dublin, Ireland

Dear Praveen,

you make an interesting question. One has to decide where the boundaries of the process lie. In my case I come from a design background. It is well documented that 90% of product cost is committed at the design stage and many quality issues can be "designed out".

The methods that I have found most useful are:

BS7000 http://shop.bsigroup.com/ProductDetail/?pid=000000000030314817

Theory of constraints (for manufacturing) http://www.spcforexcel.com/publications/Theory_of_Constraints/13B63E123ED3A6769B6575CE93DA4F2F/Theory%20of%20Constraints.pdf

and Prince 2 for management control https://www.prince2.com/uk/what-is-prince2

However, these are heavyweight methods and I use them as guides to good practice rather than adhering to their every detail; more like a tool box where the craftsman decides which tool to use.

Hope this helps

Paul

Yes, there are some work in the area of "software evolution" in which they predict that a software is undergoing decay or it is already dead.

The approach is metric-based. They collect some metrics, and use those metrics to predict that the maintenance cost has already become too much and that it would continue to grow.

 I know Nazim madhavji (Univ of Western Ontario) doing some work in this regard.

Some people in SEI (Software Engineering Institute) have also donen some work in this regard.

Your question may encourages one to come up with a CDM (software Decay Model) using which one can periodically rate a software in the range [1..5].

--M. Satpathy/ IIT Bhubaneswar

Is it a relation between innovations and knowledge found in networking?

Daniel

There are a lot of different platforms out there which support activity across the spectrum of  PPRR.    Some focus on particular disasters whereas others are more general in nature.     some are open source platforms and a lot are commercial applications.   I guess it depends on the type of organisation you are working for and your particular needs.   You might be interested in exploring the attached links.

Regards

Ged

Incident Maps

UK Environment Agency Life Flood Warning Map http://apps.environment-agency.gov.uk/flood/142151.aspx

MIT’s Next-Generation Incident Command System https://public.nics.ll.mit.edu/nicshelp/articles/frontpage.php

Palantir https://www.palantir.com/disaster-preparedness/

ESRI http://solutions.arcgis.com/local-government/help/public-safety-incident-mapping/

The Virginia Interoperability Picture for Emergency Response https://cop.vdem.virginia.gov/

Web EOC https://www.intermedix.com/product/product-webeoc/index.php

Crisis Works http://crisisworks.com.au/

Crowd sourced incident maps

Crisis Mappers http://crisismappers.net/

Ushahidi http://www.ushahidi.com/

Open Street Map Humanitarian Team http://hot.openstreetmap.org/about

Climate CoLab Crowd Sourced Crisis Management Platform http://climatecolab.org:18081/plans/-/plans/contestId/1300402/planId/1307506

Planning

Australia-Indonesia Facility for Disaster Reduction InaSAFE planning and simulation tool http://inasafe.org/en

Flood map http://www.floodmap.net/

See the Atlas of Flood Maps for a comprehensive summary of EU flood maps http://www.mko.gov.si/fileadmin/mko.gov.si/pageuploads/podrocja/voda/atlas_primerov__kartiranja_poplavne_nevarnosti_ogrozenosti.pdf

University of Melbourne/IBM Australian Disaster Management Platform http://admp.org.au/

University of Melbourne Intelligent Disaster Decision Support System http://www.csdila.unimelb.edu.au/projects/IDDSS/About.html

Situational Awareness

Pacific Disaster Centre Global Hazards Map http://atlas.pdc.org/atlas/

Pacific Disaster Centre EMOPS http://emops.pdc.org/emops

Pacific Disaster Centre Disaster Aware http://www.pdc.org/solutions/products/disasteraware/

Global Incident Map http://www.globalincidentmap.com/

Global disaster Alert and Coordination System http://www.gdacs.org/default.aspx

OpenQuake http://www.globalquakemodel.org/openquake/about//

New Zealand GeoNet http://geonet.org.nz/quakes/quakesmap/

IRIS Earthquake Browser http://ds.iris.edu/sm2//

Educational

Emergency Management Australia disaster mapper https://disastermapper.ema.edu.au/#/intro

Let us see the other side - of TQM - which is complex.

High Commitment, Culture, Constancy of Purpose will only facilitate, when the objectives being chased are aligned to the ultimate Organisational Objectives (call them strategic objectives). I call PLANning as defining Purpose, Leveraging for balancing attainment, Alignment for Commitment, Culture, Constancy of Purpose, and Negotiating for success @ current capabilities.

For a brief 'excerpts' this paper may help- http://papers.ssrn.com/sol3/papers.cfm?abstract_id=1830316 

http://papers.ssrn.com/sol3/papers.cfm?abstract_id=1830316>TQM- a developmental perspective<

Dear  Professor,

Thanks  for your answer and it gave me some valuable input for my forth comming paper. Does your answer  will fit to CLSC too.

Regards,

Sri Yogi Kottala

Dear Kalinzi,

The literature on procurement performance measurement presents several studies about supplier selection (focus on multicriteria decision making), criteria for supplier selection and evaluation, supplier evaluation for development among others. I suggest you read these papers:

Focus on my last research paper. You can also send me your research for review. My email address is: usmankazi100@gmail.com.

The objective of the widely used EFQM business excellence model is to help all types of organizations to improve and simplify corporate structures, collaboration and cooperation among the corporate community (NGO or Non-NGO). Self assessment, innovation and working together are key benefits from the application of the model.

This is an interesting area. You may also like to look at "Value stream mapping" . This is an interesting framework for value analysis.