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Management Engineering - Science topic
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Dear ResearchGate'rs,
I am looking for a journal which indexed, high response and fast publication in the field of "Facility Management & Management Systems" in Healthcare.
I have three drafts on:
- Development of a diagnostic tool for Facility Management System in the health sector.
- Case study of the diagnosis of a Facility Management System in a Colombian hospital.
- Development of a hospital infrastructure management model based on Facility Management System harmonized with Colombian and international health quality standards.
Kindly, share your experience and recommendations.
Thank you and greetings.
In design and construction, there are many factors that can influence the occurrence of technical risk, which, as a consequence, affects the duration, quality and cost.
Technical risk is risk due to technical factors.
Example:
1. Low qualification of a specialist leads to low quality of project documentation.
2. Lack of BIM department.
3. Location of the facility (remoteness from the main manufacturing plants, difficulty in transporting equipment, etc.)
4.Use of new technologies, etc.
I want to know the Scopus or ISI or SCI journals of Mathematics, Managements and Engineering which provide a fast review process without a publishing fee.
Hello! I would like to ask about (what papers required to be involved to apply value management on my project if I went to official institutions.. I may guess BOQ, Bills, drawning? what else.. Thanks!
I am trying to optimize a function that is non-linear in parameters, three in number. I am using Genetic Algorithms (GA) for this purpose. Thus, I have a function of time that is non-linear in three parameters as time-series data. I am using the ga() function of the GA package in R language for the purpose. However, as I see, the initial values that I set for the parameters heavily influences the parameters computed by the ga() function. I also read the following article:
Scrucca, L. (2013). GA: a package for genetic algorithms in R. Journal of Statistical Software, 53(4), 1-37.
In section 4.4 Curve Fitting, if I use the following initial values (min, max): a(1000, 10,000), b(0,10), and c(0.5, 10) instead of the ones used, that is a(3000, 4000), b(0, 1) and c(2, 4) I get completely different results from the ones obtained by the paper. I get a=2772, b=.0235, c=4.07 as against a= 3534.741, b=0.01575454, c= 2.800797 in the paper.
My understanding is that global optimization techniques such as GA would be able to find out global optima irrespective of initial values although it might take more or less iterations depending on the initial values of parameters. Why is this not happening in case of my function and also the example that I cited?
Thanking you all in advance.
How can I consider the intermodal exchange in the LCA? Are there any studies about it? Thanks!
