TY  - JOUR
AU  - Abdullah, Md
AU  - Süer, Gürsel A.
TI  - Consideration of skills in assembly lines and seru production systems
JF  - ASIAN JOURNAL OF MANAGEMENT SCIENCE AND APPLICATIONS
J2  - AJMSA
VL  - 4
PY  - 2019
IS  - 2
SP  - 99
SN  - 2049-8683
DO  - 10.1504/AJMSA.2019.110377
UR  - https://m2.mtmt.hu/api/publication/31733569
ID  - 31733569
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Aboelfotoh, Aaya
AU  - Md Abdullah, Gürsel A Süer
TI  - Selection of Assembly Systems; Assembly Lines vs. Seru Systems
JF  - PROCEDIA COMPUTER SCIENCE
J2  - PROC COMPUTER SCI
VL  - 140
PY  - 2018
SP  - 351
EP  - 358
PG  - 8
SN  - 1877-0509
DO  - 10.1016/j.procs.2018.10.304
UR  - https://m2.mtmt.hu/api/publication/30315073
ID  - 30315073
AB  - In the world of manufacturing, a manufacturing strategy must be selected depending on which strategy would produce the higher output rate, in order to carry out a set of product operations. This study focuses on the steady-demand domain, where two strategies are feasible; Classical Assembly Line and Seru, a recent Japanese strategy that mostly involves single-worker assembly lines. Mathematical modelling is used to determine the worker-to-station and task-to-station assignments of product structures with different parameters to calculate the assembly line output rate. On the other hand, simpler calculations are sufficient to determine the Seru strategy output rate. The aim is to study the relationship between worker skill level variation and strategy selection by building a neural network model using NeuroSolutions. Skill levels were considered to be normally distributed from 1 to 7. Inputs such as number of tasks, product precedence network flexibility, and task processing time variation will also be incorporated to support the learning process of the neural network model. The neural network model will then be applied to predict the more favourable strategy that would produce the higher output rate, between the Classical Assembly and Seru approach. As a result, this will help serve as a guideline regarding when to use Classical Assembly vs. Seru strategy, using only the available information about the product and skill variation and without the need to solve any mathematical model. © 2018 The Authors. Published by Elsevier B.V.
LA  - English
DB  - MTMT
ER  - 

TY  - CHAP
AU  - Gokan, May
AU  - Omid, Maghazei
AU  - Marco, Taisch
AU  - Andrea, Bettoni
AU  - Marco, Cinus
AU  - Annarita, Matarazzo
ED  - Grabot, B
ED  - Vallespir, B
ED  - Gomes, S
ED  - Bouras, A
ED  - Kiritsis, D
TI  - Toward Human-Centric Factories: Requirements and Design Aspects of a Worker-Centric Job Allocator
T2  - Advances in Production Management Systems. Innovative and Knowledge-Based Production Management in a Global-Local World
PB  - Springer Netherlands
CY  - Berlin
CY  - Heidelberg
SN  - 9783662447321
T3  - IFIP Advances in Information and Communication Technology ; 440.
PB  - Springer Netherlands
PY  - 2014
SP  - 417
EP  - 424
PG  - 8
DO  - 10.1007/978-3-662-44733-8_52
UR  - https://m2.mtmt.hu/api/publication/24188585
ID  - 24188585
LA  - English
DB  - MTMT
ER  -