Title of article :
Determination of an optimal configuration of operating policies for direct-input-output manufacturing systems using the Taguchi method
Author/Authors :
Joom-Mock Um، نويسنده , , Kil-Soo Kim، نويسنده , , Bang-Jim Yam، نويسنده , , Hark Hwang، نويسنده ,
Issue Information :
ماهنامه با شماره پیاپی سال 1996
Abstract :
Some modern manufacturing systems have workstations directly integrated with a centralized storage and handling system for work-in-process. We consider a Direct-Inlet-Output manufacturing system(DIOMS) which has a number of machine centers placed along a built-in automated storagejretrieval system(AS/RS). The storagdretrievai(S/R) machine handles parts placed on pallets for the machine centers located at either one or both sides of the AS/RS.
This paper investigates the operational aspect of DIOMS by the Taguchi method. Four operating policies including input sequencing control. dispatching rule for the S/R machine, machine center-based part type selection rule, and storage assignment policy are treated as design factors. For the performance characteristics, man flow time and throughput are adopted. The number of machine centers, the number of part types, demand rate, processing time and the rate of each part type. vertical and horizontal speed of the SIR machM and the size of a local buffer in the machine centers are considered as noise factors in generating various DIOMS environments. A robust design experiment with inner and outer orthogonal arrays are conducted by computer simulation, and an optimal configuration of operating policies is presented which consists of a combination of the level of each design factor. The validity of the optimal configuration is investigated by comparing its SN ratios with those obtained by an experiment with fiill factorial designs.
Keywords :
Built-in automated storage/retrieval system(AS/RS) , Taguchi method , Robust design , computer simulation , Direct-Input-Output manufacturing system
Journal title :
Computers & Industrial Engineering
Journal title :
Computers & Industrial Engineering