70 research outputs found
Machine-Part cell formation through visual decipherable clustering of Self Organizing Map
Machine-part cell formation is used in cellular manufacturing in order to
process a large variety, quality, lower work in process levels, reducing
manufacturing lead-time and customer response time while retaining flexibility
for new products. This paper presents a new and novel approach for obtaining
machine cells and part families. In the cellular manufacturing the fundamental
problem is the formation of part families and machine cells. The present paper
deals with the Self Organising Map (SOM) method an unsupervised learning
algorithm in Artificial Intelligence, and has been used as a visually
decipherable clustering tool of machine-part cell formation. The objective of
the paper is to cluster the binary machine-part matrix through visually
decipherable cluster of SOM color-coding and labelling via the SOM map nodes in
such a way that the part families are processed in that machine cells. The
Umatrix, component plane, principal component projection, scatter plot and
histogram of SOM have been reported in the present work for the successful
visualization of the machine-part cell formation. Computational result with the
proposed algorithm on a set of group technology problems available in the
literature is also presented. The proposed SOM approach produced solutions with
a grouping efficacy that is at least as good as any results earlier reported in
the literature and improved the grouping efficacy for 70% of the problems and
found immensely useful to both industry practitioners and researchers.Comment: 18 pages,3 table, 4 figure
Queueing Theory an Index Factor for Production Inventory Control in Automotive Industry—A Review
In this paper, various approaches to inventory control within the automotive industry
were reviewed using queueing theory. Different models used in past literature were
stated and the model considered to be most effective in this review is dock management
modeling. This model was used to analyze inventory control and how effectively
automotive industries can minimize inventory by getting the component needed in the
assembly line just in time, this helps to reduce additional costs for warehouse
maintenance and capital tied down in form of excess inventory. Analytical and
simulation models are the mathematical models that are considered in this review as
they are used in several papers by different authors
Designing and Controlling the Performance of FMS: Application of Principle Component Analysis
An efficient search algorithm for obtaining the optimal replenishment strategies in assembly-type just-in-time supply chain systems
Development and application of a worker assignment model to evaluate a lean manufacturing cell
Increasing Production and Minimizing Costs During Machining by Control of Tool’s Wears and or Damages
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