Applying Computer Simulation Modelling to Minimizing Appointment Lead-Time in Elderly Outpatient Clinics: A Case Study

2017 ◽  
pp. 323-329 ◽  
Author(s):  
Miguel Ortíz-Barrios ◽  
Pedro López-Meza ◽  
Genett Jimenez-Delgado
Keyword(s):  
Computer Simulation ◽  
Lead Time ◽  
Simulation Modelling ◽  
Outpatient Clinics

scholarly journals Capacity and patient flow planning in post-term pregnancy outpatient clinics: a computer simulation modelling study

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Joe Viana ◽  
Tone Breines Simonsen ◽  
Hildegunn E. Faraas ◽  
Nina Schmidt ◽  
Fredrik A. Dahl ◽  
...  
Keyword(s):  
Computer Simulation ◽  
Patient Flow ◽  
Simulation Modelling ◽  
Outpatient Clinics ◽  
Term Pregnancy ◽  
Post Term Pregnancy ◽  
Modelling Study

scholarly journals Optimizing real-world factory flows using aggregated discrete event simulation modelling

2019 ◽  
Vol 32 (4) ◽  
pp. 888-912 ◽  
Author(s):  
Simon Lidberg ◽  
Tehseen Aslam ◽  
Leif Pehrsson ◽  
Amos H. C. Ng
Keyword(s):  
Discrete Event Simulation ◽  
Real World ◽  
Lead Time ◽  
Discrete Event ◽  
Simulation Modelling ◽  
Industrial Systems ◽  
Event Simulation ◽  
Batch Sizes ◽  
Industrial Problem

AbstractReacting quickly to changing market demands and new variants by improving and adapting industrial systems is an important business advantage. Changes to systems are costly; especially when those systems are already in place. Resources invested should be targeted so that the results of the improvements are maximized. One method allowing this is the combination of discrete event simulation, aggregated models, multi-objective optimization, and data-mining shown in this article. A real-world optimization case study of an industrial problem is conducted resulting in lowering the storage levels, reducing lead time, and lowering batch sizes, showing the potential of optimizing on the factory level. Furthermore, a base for decision-support is presented, generating clusters from the optimization results. These clusters are then used as targets for a decision tree algorithm, creating rules for reaching different solutions for a decision-maker to choose from. Thereby allowing decisions to be driven by data, and not by intuition.

Lean Solutions in Batch Manufacturing Process with Applicability in Bumpers Production

2016 ◽  
Vol 834 ◽  
pp. 205-210
Author(s):  
Elena Loredana Terzea ◽  
Antonia Cristina Barascu ◽  
Iulian Razvan Soare
Keyword(s):  
Automotive Industry ◽  
Food Processing ◽  
Lead Time ◽  
Batch Processes ◽  
Value Stream Mapping ◽  
Value Stream ◽  
Industry Sector ◽  
Current Value ◽  
Lean Methods

Batch processes includes paint manufacturing, food processing, pharmaceutical industry, etc. The paper focuses on the process of paint manufacturing. The main contribution is the design of the current value stream mapping, very useful to understand the causes of waste and lead-time. This paper points out the necessity of applying lean methods within automotive industry, sector of bumpers painting and assembly, based on a real case-study.

Characterization of Manufacturing System Computer Simulation using Taguchi Method

2015 ◽  
Vol 72 (4) ◽  
Author(s):  
Seyed Mojib Zahraee ◽  
Ali Chegeni ◽  
Jafri Mohd Rohani
Keyword(s):  
Computer Simulation ◽  
Taguchi Method ◽  
Manufacturing Industry ◽  
Waiting Times ◽  
Inspection Time ◽  
Total Output ◽  
Service Rate ◽  
Manufacturing Line

In the manufacturing industry, managers and engineers are trying to sustain their competitiveness by achieving high output and productivity. There are some common problems such as waiting times, failures, reworks in production line that impose extra cost to the companies. Therefore, companies are striving to find methods in order to determine and deal with problems using different methods such as mathematical, statistical and computer simulation. The goal of this paper is to increase the total output production and to improve productivity using computer simulation and Taguchi method. This paper introduces a color manufacturing line as a case study which is simulated using arena 13.9 software. Following that the Taguchi method is applied to assess the effect of controllable and uncontrollable factors on the total output production. According to the result of JMP 10 software to conduct Taguchi experiment, the maximum desirability of productivity will be achieved when the value of factors such service rate of delpak machine=UNIF (30, 40), number of labor=14, inspection time=120 and number of Permil=5. Taguchi Method plays an efficient and suitable role in the process improvement, proposing adjustments that will provide an improvement in the productivity. 

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