Real world finite capacity planning: a partial enumeration – based optimizer

2009 ◽  
Vol 42 (4) ◽  
pp. 2023-2028
Author(s):  
Ennio Bianco ◽  
Marco A. Boschetti ◽  
Vittorio Maniezzo ◽  
Aristide Mingozzi
2015 ◽  
Vol 48 (3) ◽  
pp. 1598-1603 ◽  
Author(s):  
E. Mhiri ◽  
M. Jacomino ◽  
F. Mangione ◽  
P. Vialletelle ◽  
G. Lepelletier

Author(s):  
Emna Mhiri ◽  
Mireille Jacomino ◽  
Fabien Mangione ◽  
Philippe Vialletelle ◽  
Guillaume Lepelletier

2009 ◽  
Vol 419-420 ◽  
pp. 637-640 ◽  
Author(s):  
James C. Chen ◽  
Shu Jen Hu ◽  
Po Tsang B. Huang ◽  
Chiuhsiang Joe Lin ◽  
Kuo Jung Chao ◽  
...  

A Finite Capacity Planning Policy (FCPP) is developed for multiple color filter (CF) fabs where each fab has several identical production lines. FCPP assigns customer orders to multiple fabs and multiple lines by taking into account each fab’s available capacity and Work-In-Process (WIP) level, as well as each order’s batch size, product type, process routing, and processing time. After all orders are assigned to fabs and lines, order release time and finish time are determined by the implementation of several modules. FCPP is developed in Microsoft Visual Basic for Application (VBA), and an AutoMod simulation model is also developed. A company with two CF fabs and two lines at each fab is treated as a case study, and industrial data from these fabs are collected and used to evaluate the performance of FCPP based on the design of experiments. Preliminary simulation results show that FCPP can effectively and efficiently balance the loading between fabs and also balance the loading between lines in each fab.


Jurnal PASTI ◽  
2020 ◽  
Vol 14 (2) ◽  
pp. 146
Author(s):  
Arief Suharko

The capacity planning serves an important role in strategic decisions involving production facilities. While there are many publications made on capacity planning, most of the models created tend to restrict their applications in real-world due to some initial assumptions being made and/or the run-time execution of the models that may be prohibitive. The objective of this paper is to explore the model construction for in-plant truck movement in a cement company that is based on building a discrete-event simulation one so that the planning may be sufficiently robust while the amount of time for constructing the model and the run-time still serve practical purposes. The model then is used to examine the effects of shifting bottlenecking and thus, allows users to identify critical resources for the production process. The results show that such a model provides the directions and aids for the management to make the strategic decisions.


Sign in / Sign up

Export Citation Format

Share Document