Study of lot sizes on job shop systems performance using simulation

1995 ◽  
Vol 2 (6) ◽  
pp. 277-289 ◽  
Author(s):  
G. Habchi ◽  
Ch. Labrune
Keyword(s):  
Job Shop ◽  
2020 ◽  
Vol 14 (10) ◽  
pp. 6
Author(s):  
Samira Alvandi

The increasing customization of products with greater variances and smaller lot sizes, has motivated manufacturers to adopt highly dynamic production planning. The production plans not only need to adapt to the production system state changes rapidly but also need to adopt energy reduction schemes to satisfy key sustainability performance indicators. The dilemma from industry point of view is to tackle multi-faceted problem of optimising economic and environmental performance. This research aims to overcome the multi-faceted objectives of small and medium-sized enterprises (SME’s) by providing a simulation-optimisation platform that creates the best possible production plans for optimum results. The applicability of the proposed framework is demonstrated through a real-life job-shop environment with the focus on optimisation of energy as well as job tardiness.


1995 ◽  
Vol 9 (1) ◽  
pp. 151-157 ◽  
Author(s):  
Matthew J. Sobel

In a job-shop manufacturing environment, consider a model in which the “job” is processed at several stages with random yields. Nondefective items move through the stages to supply a possibly random demand. At each stage there are linear costs of processing and work-in-process inventories and there are convex costs of end-item inventory. Decisions specify the lot sizes that are processed at the various stages. Easy computations specify a simply structured decision rule that minimizes the expected total cost.


2015 ◽  
Vol 135 (6) ◽  
pp. 713-720
Author(s):  
Wan-Ling Li ◽  
Tomohiro Murata ◽  
Muhammad Hafidz Fazli bin Md Fauadi

2011 ◽  
Vol 21 (12) ◽  
pp. 3082-3093
Author(s):  
Zhu-Chang XIA ◽  
Fang LIU ◽  
Mao-Guo GONG ◽  
Yu-Tao QI

Sign in / Sign up

Export Citation Format

Share Document