English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Effective design of material handling devices is one of the most important decisions in cellular manufacturing system. Minimization of material handling operations could lead to optimization of overall operational costs. An automated guided vehicle (AGV) is a driverless vehicle used for the transportation of materials within a production plant partitioned into cells. The tandem layout is according to dividing workstations to some nonoverlapping closed zones that in each zone a tandem automated guided vehicle (TAGV) is allocated for internal transfers. Also, among adjacent loops some places are determined for exchanging semi-produced parts. This paper illustrates a non-linear multi-objective problem for minimizing the material flow intra and interloops and minimization of maximum amount of inter cell flow, considering the limitation of TAGV workloading. For reducing variability of material flow and establishing balanced loop layout, some new constraints have been added to the problem based on six sigma approach. Due to the complexity of the problem, ant colony optimization (ACO) algorithm is used for solving this model. Finally this approach has been compared with the existing methods to demonstrate the advantages of the proposed model.

MACHINE GROUPING IN CELLULAR MANUFACTURING SYSTEM USING TANDEM AUTOMATED GUIDED VEHICLE WITH ACO BASED SIX SIGMA APPROACH