A simulation-based decision support system for a pharmaceuticals manufacturing plant

1993 ◽  
Vol 12 (2) ◽  
pp. 71-75 ◽  
Author(s):  
George Bernstein ◽  
Eric C. Carlson ◽  
Richard M. Felder ◽  
Roger E. Bokeny
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Manufacturing Plant ◽  
Simulation Based

scholarly journals Decision Support System with Simulation-Based Optimization for Healthcare Capacity Planning

2021 ◽  
Author(s):  
Canan Gunes Corlu ◽  
◽  
John Maleyeff ◽  
Chenshu Yang ◽  
Tianhuai Ma ◽  
...  
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Capacity Planning ◽  
Simulation Based ◽  
Simulation Based Optimization

scholarly journals DECISION SUPPORT SYSTEM OF A TAB MANUFACTURING PLANT

1970 ◽  
Vol 41 (1) ◽  
pp. 71-79 ◽  
Author(s):  
Deepika Garg ◽  
Kuldeep Kumar ◽  
Jai Sigh
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Differential Equations ◽  
Support System ◽  
Probabilistic Approach ◽  
Death Process ◽  
Manufacturing Plant ◽  
Transition Diagram ◽  
In Series ◽  
Grinding Machine

This paper discusses a decision support system for a Tab manufacturing plant. Tab manufacturing mainly consists of six subsystems working in series .Two subsystems namely Grinding machine, Electroplating machine are supported by stand-by units with perfect switch over devices and the remaining four subsystem are prone to failure. The mathematical model of Tab manufacturing plant has been developed using Markov birth – death Process. The differential equations has been developed on the basis of probabilistic approach using transition diagram which are further solved for steady state availability in order to develop the decision matrices which provide the various availability levels for different combinations of failure and repair rates of each subsystem.Key words: Availability; Differential Equations; Markov process; Steady StateDOI: 10.3329/jme.v41i1.5365Journal of Mechanical Engineering, Vol. ME 41, No. 1, June 2010 71-79

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