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ANALYZING PROCESSES WITH HANQ
Author(s) -
Neimeier Hank,
McGowan Clem
Publication year - 1996
Publication title -
incose international symposium
Language(s) - English
Resource type - Journals
ISSN - 2334-5837
DOI - 10.1002/j.2334-5837.1996.tb02012.x
Subject(s) - computer science , queueing theory , activity based costing , discrete event simulation , set (abstract data type) , process (computing) , service (business) , product (mathematics) , event (particle physics) , sensitivity (control systems) , resource (disambiguation) , distributed computing , mathematical optimization , simulation , computer network , mathematics , physics , operating system , economy , geometry , marketing , quantum mechanics , electronic engineering , economics , engineering , business , programming language
We view a process as a network of activity nodes that each take time and consume resources. Products and information flow between the nodes. Hands‐on Analytic Network Queuing (HANQ) is an approach and a computational tool to analyze the performance of such processes. Currently HANQ is a set of computational blocks implemented as a library for the Extend™ simulation language product. HANQ is based on a new computational paradigm (analytic risk evaluation and analytic queuing) that overcomes several of the limitations of discrete event simulation. Using HANQ one can compute the risk of an overall process's time, resource utilization, and costs (expressed as probability distributions) given the risks of the individual activities. Deterministic solutions simplify sensitivity and uncertainty analyses. HANQ supports activity based costing (ABC) and can handle time varying workloads and service rates. HANQ integrates performance, cost, and risk in a single model.