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Research Article Open access CC BY 4.0

Development of Cellular Manufacturing Model for Product Varieties Management in Industries

B. O. Akinnuli

Advances in Research · pp. 1–17 · Published 16 Jan 2017

10.9734/AIR/2016/27515

Abstract

The increasing demand of customers in terms of speed of service and reduced cost at higher quality has generated a new platform on which manufacturing companies compete. The purpose of this report is to develop a Cellular Manufacturing Model, which is actually an application of group technology, which has been described as a stepping stone to achieving world class manufacturing status. Required strategic decisions were identified and the mathematical models required were developed. The models were integrated to form the logic with the aid of a flow chart. The formulated model was implemented with a software using C – Sharp (C-#). The identified strategic decisions which are the input variables are: Quantity input total cost rate, waiting time, setup time, work start time, delivery time, cycle time and average product demand. Processing this data using the developed mathematical models resulting into total productivity, production lead time, unit cost, cycle time, and delivery time determination. Statistical analysis of both input and out data was carried out the correlation coefficient (r) of the data was 0.95 which gives a very strong relationship. Graphs were also drawn to represent the output quantity against value added time and also graph of delivery ready goods against total cost rate. At the end of it all, a useful way of implementing this aspect of cellular manufacturing was suggested.

Cellular manufacturing group technology product varieties strategic decisions software development waste control

References (21)

  1. 1 A genetic algorithm approach to cellular manufacturing systems [DOI]
  2. 2 A comprehensive mathematical model for the design of cellular manufacturing systems [DOI]
  3. 3 Integrated cellular manufacturing systems design with production planning and dynamic system reconfiguration [DOI]
  4. 4 Integrated multi-period cell formation and subcontracting production planning in dynamic cellular manufacturing systems [DOI]
  5. 5 Multi-objective optimization for sustainable supply chain network design considering multiple distribution channels [DOI]
  6. 6 A multi-objective genetic algorithm approach to the design of cellular manufacturing systems [DOI]
  7. 7 The assembly line worker assignment and balancing problem with stochastic worker availability [DOI]
  8. 8 A robust optimization model for cellular manufacturing system into supply chain management [DOI]
  9. 9 Design and reconfiguration models for dynamic cellular manufacturing to handle market changes [DOI]
  10. 10 A comprehensive mathematical model for dynamic cellular manufacturing system design and Linear Programming embedded hybrid solution techniques [DOI]
  11. 11 Cellular manufacturing system design considering machines reliability and parts alternative process routings [DOI]
  12. 12 Effective two-phasep-median approach for the balanced cell formation in the design of cellular manufacturing system [DOI]
  13. 13 DESIGNING CELLULAR MANUFACTURING SYSTEM UNDER UNCERTAINTY
  14. 14 Grouping of parts and machines in presence of alternative process routes by genetic algorithm [DOI]
  15. 15 Ensuring population diversity in genetic algorithms: A technical note with application to the cell formation problem [DOI]
  16. 16 Designing a cellular manufacturing system considering decision style, skill and job security by NSGA-II and response surface methodology [DOI]
  17. 17 Dynamic virtual cellular manufacturing through agent-based modelling [DOI]
  18. 18 Agent-based dynamic part family formation for cellular manufacturing applications [DOI]
  19. 19 A parametric model for cell formation and exceptional elements? problems with fuzzy parameters [DOI]
  20. 20 Review on Dynamic Cellular Manufacturing System [DOI]
  21. 21 Computer Aided System for Database Chain Drive Design and Drafting [DOI]

Cited by 4

Implementation model for cellular manufacturing system using AHP and ANP approach

Vikrant Sharma, B.D. Gidwani, Vikram Sharma · Benchmarking: An International Journal · 2019

Key criteria influencing cellular manufacturing system: a fuzzy AHP model

Vikrant Sharma, Sundeep Kumar, M. L. Meena · Journal of Business Economics · 2021

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