Optimization of Hierarchical Production Planning with Setup Time Feasibility for Effective Supply Chain Management - Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems Access content directly
Conference Papers Year : 2021

Optimization of Hierarchical Production Planning with Setup Time Feasibility for Effective Supply Chain Management

Guisen Xue
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Abstract

In this paper, we propose a two-tier mixed integer linear programming (MILP) model, composed of aggregate production planning (APP) and family disaggregation planning (FDP), to solve the hierarchical production planning (HPP) problem with nontrivial setup times. In addition to disaggregating the aggregate plan in the first period into detailed lot sizing plans as traditional models do, the proposed FDP model optimally adjusts the aggregate plan and eliminates infeasibility arising from the positive setup times. The performance of the proposed model is validated with a case study. Results of the validation show that the proposed model leads to significant cost savings and efficiencies in the supply chain compared to traditional HPP models.
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hal-04022141 , version 1 (09-03-2023)

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Guisen Xue, O. Felix Offodile. Optimization of Hierarchical Production Planning with Setup Time Feasibility for Effective Supply Chain Management. IFIP International Conference on Advances in Production Management Systems (APMS), Sep 2021, Nantes, France. pp.489-498, ⟨10.1007/978-3-030-85906-0_54⟩. ⟨hal-04022141⟩
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