Progressive Modeling: The Process, the Principles, and the Applications
Author(s) -
Mohamed A. Ismail
Publication year - 2013
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2013.01.005
Subject(s) - computer science , scheduling (production processes) , systems modeling , multidisciplinary approach , process (computing) , industrial engineering , management science , systems engineering , mathematical optimization , software engineering , social science , mathematics , sociology , engineering , economics , operating system
Progressive Modeling (PM) is a multidisciplinary forward looking modeling approach that finds pragmatic solutions for many complex and large scale industrial problems. PM brings many innovations to problem analytics, problem modeling, and solution algorithms. PM started as a new approach that incarnates systems thinking in solving industrial problems from optimization perspective to end up with a novel modeling approach that can develop models that address system problems where a group of system problems can be defined, linked, modeled, and solved together. The paper introduces the new modeling paradigm and briefly demonstrates some of its principles and applications. The potential applications of PM include but not limited to the fields of production planning and scheduling, supply chain management, health care management, continuous process improvement, systems optimization, or simply put, any large scale complex system or system of systems
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