0100489946

open access

Accepted Manuscript

A Proposal of Resilient Supply Chain Network Planning Method with Supplier Selection and Inventory Levels Determination Using Two-Stage Stochastic Programming

English (英語)

Advances in Production Management Systems. Production Management Systems for Responsible Manufacturing, Service, and Logistics Futures

714-729

Springer

2023-09-14

2024-09-14

The importance of risk management has been pointed out in supply chain management which stably supplies products with considering economic efficiency. Supply chain network plan usually consists of two-stage decision process in business environment. Two-stage stochastic programming is appropriate for decision making under uncertainly in business environment where two steps of decision processes are involved. Therefore, we propose a planning method of resilient supply chain networks using two-stage stochastic programming. To improve computational efficiency while taking uncertain future events into account, we also propose a risk optimization method to design a resilient supply chain with reducing the number of scenarios by scenario sampling. In this paper, we attempt to plan a supply chain network consisting of suppliers, manufacturers, and wholesalers by selecting material suppliers and determining appropriate inventory levels in consideration of risk. Its optimality and resilience are evaluated by computer experiments. Furthermore, we evaluate the effectiveness of the proposed method in terms of computational efficiency as well as the optimality of the solution with scenario sampling by computer experiments.

Scenario reduction

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