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Studying and Comparing Agile and Lean Supply Chain Models and Determining the Optimum Model Using Genetic Algorithm

Daei, Mohammad | 2012

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 43021 (01)
  4. University: Sharif University of Technology
  5. Department: Industrial Engineering
  6. Advisor(s): Ghasemi, Farhad
  7. Abstract:
  8. As you know in lean supply chains, it is tried to: reduce the wastes of resources and achieve more production with lower consumption of resources. This system is very well suited for many supply chains in which the final determinant factors are price and quality. In contrast, recently, the concept of agile supply chain has been introduced, insisting on flexibility and high service level. Opposite to lean supply chain, agile supply chain needs safety stock to be able to respond to market’s changes.
    Regarding the dissimilarities of these models –including the disagreement in the allocation of safety stock to nodes– In this thesis, in addition to studying and comparing these two approaches, it is tried to answer the question “whether a specific supply chain, in its optimum state, should be lean, agile or both?” and “If a supply chain should be leagile, which nodes should be lean and which ones should be agile?” to answer these questions modeling the supply mathematically was used, insisting on calculating total stock holding cost and response time. Then for solving the model genetic algorithm was used to determine in the optimum state (reaching intended service time with minimum stock holding cost), which nodes should be lean and which ones should be agile and how much should the safety stock of the lean nodes be?
    Afterwards a sample problem was solved using the model and proposed genetic algorithm, in three different states for chromosomes and iterations. At the end the calculated answers were compared with each other and also with two other states of constant safety stock and random safety stock
  9. Keywords:
  10. Supply Chain ; Lean Supply Chain ; Decoupling Point ; Modeling ; Agile Supply Chain ; Leagilety ; Supply Chain Modeling

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