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An introductory guide for hybrid simulation modelers on the primary simulation methods in industrial engineering identified through a systematic review of the literature
Modeling and simulation are a powerful and effective problem-solving methodology to study
how complex real-world systems behave over time. In the literature, many authors have …
how complex real-world systems behave over time. In the literature, many authors have …
Automation of input data to discrete event simulation for manufacturing: A review
Discrete event simulation (DES) is a well-established decision support tool in modeling work
flows in manufacturing industry. But, there are an amount of practical and financial obstacles …
flows in manufacturing industry. But, there are an amount of practical and financial obstacles …
[KSIĄŻKA][B] Input modeling with phase-type distributions and Markov models: theory and applications
P Buchholz, J Kriege, I Felko - 2014 - books.google.com
Containing a summary of several recent results on Markov-based input modeling in a
coherent notation, this book introduces and compares algorithms for parameter fitting and …
coherent notation, this book introduces and compares algorithms for parameter fitting and …
Application of fuzzy decision tree in EOR screening assessment
Ranking of best possible Enhanced Oil Recovery (EOR) technics for implementing on a
target field is one of the most important questions that should be answered by reservoir …
target field is one of the most important questions that should be answered by reservoir …
Optimal acquisition policy in remanufacturing under general core quality distributions
CH Yang, J Wang, P Ji - International Journal of Production …, 2015 - Taylor & Francis
The quality of acquirable used products (cores) is highly variable, which has made
production planning and control of remanufacturing systems difficult. This paper studies an …
production planning and control of remanufacturing systems difficult. This paper studies an …
A tutorial on how to select simulation input probability distributions
AM Law - 2013 Winter Simulations Conference (WSC), 2013 - ieeexplore.ieee.org
An important, but often neglected, part of any sound simulation study is that of modeling
each source of system randomness by an appropriate probability distribution. We first give …
each source of system randomness by an appropriate probability distribution. We first give …
Data-driven simulation-based analytics for heavy equipment life-cycle cost
Heavy civil and mining construction industries rely greatly on the usage of heavy equipment.
Managing a heavy-equipment fleet in a cost-efficient manner is key for long-term profitability …
Managing a heavy-equipment fleet in a cost-efficient manner is key for long-term profitability …
Simulation-based evaluation of supply chains for stump fuel
Current concerns about climate change and fossil-fuel dependency have intensified interest
in renewable energy and increased demand for suitable substrates. Softwood tree stumps …
in renewable energy and increased demand for suitable substrates. Softwood tree stumps …
[KSIĄŻKA][B] Hypothesis-Driven Simulation Studies
F Lorig, F Lorig - 2019 - Springer
As part of the requirement analysis, challenges were defined for the formalization of
hypotheses. Yet, it seems that these requirements are insufficiently met in practice. With …
hypotheses. Yet, it seems that these requirements are insufficiently met in practice. With …
Performance evaluation of web service response time probability distribution models for business process cycle time simulation
R Ramakrishnan, A Kaur - Journal of Systems and Software, 2020 - Elsevier
Abstract Context The adoption of Business Process Management (BPM) is enabling
companies to improve the pace of building new capabilities, enhancing existing ones, and …
companies to improve the pace of building new capabilities, enhancing existing ones, and …