Research Article Open Access

A NOVEL OPTIMIZATION MODEL FOR SIMULTANEOUS COST-RISK REDUCTION IN MULTI-SUPPLIERS JUST-IN-TIME SYSTEMS

Faraj El Dabee1, Romeo Marian2 and Yousef Amer2
  • 1 University of Elmergib, Libya
  • 2 University of South Australia, Australia
Journal of Computer Science
Volume 9 No. 12, 2013, 1778-1792

DOI: https://doi.org/10.3844/jcssp.2013.1778.1792

Submitted On: 5 September 2013 Published On: 25 November 2013

How to Cite: Dabee, F. E., Marian, R. & Amer, Y. (2013). A NOVEL OPTIMIZATION MODEL FOR SIMULTANEOUS COST-RISK REDUCTION IN MULTI-SUPPLIERS JUST-IN-TIME SYSTEMS. Journal of Computer Science, 9(12), 1778-1792. https://doi.org/10.3844/jcssp.2013.1778.1792

Abstract

In today’s competitive global markets, Just-in-Time (JIT) is one of the main lean manufacturing approaches. It is used in organizations to improve performance and reduce costs and as a strategic core capability to ensure their market position. However, using JIT tightly couples various functions of the Supply Chain and increases the risk of propagating disruptions through the entire system. This study presents an ordering strategy for the supply of raw materials to the production system to meet customer satisfaction. A general model for cost-risk reduction is developed embracing multiple external and local backup suppliers. The outcomes from this model will be used to obtimise the simultaneous cost/risk reduction within JIT systems. The effectiveness of the developed model will be validated using a simplified example.

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Keywords

  • Lean Manufacturing
  • Just-In-Time (JIT)
  • Production System
  • Cost-Risk Reduction
  • Model
  • External Supplier
  • Local Backup Supplier
  • Optimization
  • Genetic Algorithm (GA)