A distributed decision making system for integrated optimization of production scheduling and distribution for aluminum production line

Tatsushi Nishi, Masami Konishi, Masatoshi Ago

Research output: Contribution to journalArticlepeer-review

40 Citations (Scopus)

Abstract

A distributed decision making system for integrated optimization of production scheduling and distribution planning is proposed. The system consists of several subsystems that individually derive the solution of its own subproblem to minimize the objective function obtained by decomposing the problem using an augmented Lagrangian decomposition and coordination technique. The proposed approach is applied to planning and scheduling for an aluminum rolling processing line. Decision variables such as arrival date of raw materials, lot-sizing, production scheduling, and allocation of products to warehouses are optimized simultaneously by repeating local optimization in material resource planning, and scheduling subsystem for each production process and warehouse planning subsystem. The effectiveness of the proposed approach is demonstrated.

Original languageEnglish
Pages (from-to)1205-1221
Number of pages17
JournalComputers and Chemical Engineering
Volume31
Issue number10
DOIs
Publication statusPublished - Oct 2007
Externally publishedYes

Keywords

  • Augmented Lagrangian decomposition and coordination
  • Distribution
  • Planning and scheduling
  • Supply chain optimization
  • Warehouse management

ASJC Scopus subject areas

  • Chemical Engineering(all)
  • Computer Science Applications

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