Scenario aggregation for supply chain quantity-flexibility contract

Gitae Kim · Chih-Hang John Wu

11 citations0/0 files storedInternational Journal of Systems Science

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Supply Chain and Inventory Management Sustainable Supply Chain Management Risk and Portfolio Optimization

Abstract

In this research, we apply a scenario aggregation approach to solving the supply chain contract model formulated by two-stage stochastic programming problem. The supply chain contract can achieve the coordination between the buyer and the supplier. We formulate the stochastic programming model for a quantity-flexibility contract. The scenario aggregation method called the progressive hedging method is used to solve this problem. Experimental results show the convergence behaviour of the algorithm and the sensitivity of parameters.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 11 citations exist upstream.

References

2011Introduction to Stochastic Programming 2003Supply Chain Coordination with Contracts 1998Introduction to Stochastic Programming 1991Scenarios and Policy Aggregation in Optimization Under Uncertainty 1990Quality Engineering in Production Systems 1999The Quantity Flexibility Contract and Supplier-Customer Incentives 1991Stochastic Decomposition: An Algorithm for Two-Stage Linear Programs with Recourse 1999Supply Chain Contracting and Coordination with Stochastic Demand

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

Imported from OpenAlex (CC0) — nothing here is generated.