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The use of simulation in system design: A case study using the precision location strike system
Author(s) -
Clark Thomas D.,
Arnett Gary W.,
Reybrock Nicholas W.
Publication year - 1986
Publication title -
journal of operations management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.649
H-Index - 191
eISSN - 1873-1317
pISSN - 0272-6963
DOI - 10.1016/0272-6963(86)90010-0
Subject(s) - computer science , intuition , operations research , process (computing) , context (archaeology) , systems design , industrial engineering , complex system , point (geometry) , systems engineering , risk analysis (engineering) , management science , software engineering , artificial intelligence , engineering , medicine , paleontology , philosophy , geometry , mathematics , epistemology , biology , operating system
The purpose of the article is to illustrate the use of computer simulation study and modeling in the design of complex systems. When new systems are designed, decision‐makers rely heavily upon judgment, intuition and experience. The method discussed is intended to enhance these executive attributes by providing a vehicle with which the decision‐maker may be proactive before implementing the system rather than being solely reactive after implementation. The application of a method known as the “systems science paradigm” is discussed and illustrated using the U.S. Air Force's Precision Location Strike System. The problem was to design a logistical support structure for the Strike System. The three major options proposed were to locate repair and resupply structures at the point of equipment use in Europe, to have a mixed system, or to locate support at a base in the continental United States. The research employed the paradigm suggested to develop an experimental Q‐GERT simulation model of the processes and structures envisioned. Data development for abstract systems is illustrated and methods to experiment with alternate structures are developed and discussed. The concept of multiechelon inventory and repair are addressed within the problem's context. A proposed design alternative resulted from application of the process. Methods, other than cost effectiveness, to evaluate the system are also suggested. Implementing the design process for ill‐defined systems appears to be an effective method for dealing with such design problems.