Integrated Production Planning and Scheduling Framework for TMT Bar Manufacturing Process

The production of steel is often considered a key indicator of a nation’s economic growth. The complex production environment of Thermo-Mechanical Treated (TMT) steel bar products, with multiple products of different diameters and grades, in the presence of sequence-dependent changeover times, requires efficient production planning and scheduling to ensure agile decision making and maximized profitability. In this work, we propose an integrated production planning and scheduling framework that, at the planning level, meets the intermediate product demands and maintains the inventory, while at the scheduling level ensures minimum changeover times and idle production periods to ensure maximum productivity. The proposed novel multi-grid discrete-time formulation and the resulting mixed-integer linear programming model demonstrate a significant reduction in the number of variables and constraints, increasing the computational efficiency. We further propose a rolling horizon implementation strategy to ensure an agile and alert decision making. We demonstrate the efficacy of the proposed optimization formulation on a real-world industrial TMT bar production facility in India.

Authors

Institutions

Publication Details

Journal
IFAC-PapersOnLine
Published
2025-01-01
DOI
https://doi.org/10.1016/j.ifacol.2025.12.396
Primary Topic
Scheduling and Optimization Algorithms
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Integrated Production Planning and Scheduling Framework for TMT Bar Manufacturing Process

Manas Ranjan Biswal, Nabil Magbool Jan, Shamik Misra
IFAC-PapersOnLine
Scheduling and Optimization Algorithms
article

Integrated Production Planning and Scheduling Framework for TMT Bar Manufacturing Process

Manas Ranjan Biswal, Nabil Magbool Jan, Shamik Misra
article en

Abstract

The production of steel is often considered a key indicator of a nation’s economic growth. The complex production environment of Thermo-Mechanical Treated (TMT) steel bar products, with multiple products of different diameters and grades, in the presence of sequence-dependent changeover times, requires efficient production planning and scheduling to ensure agile decision making and maximized profitability. In this work, we propose an integrated production planning and scheduling framework that, at the planning level, meets the intermediate product demands and maintains the inventory, while at the scheduling level ensures minimum changeover times and idle production periods to ensure maximum productivity. The proposed novel multi-grid discrete-time formulation and the resulting mixed-integer linear programming model demonstrate a significant reduction in the number of variables and constraints, increasing the computational efficiency. We further propose a rolling horizon implementation strategy to ensure an agile and alert decision making. We demonstrate the efficacy of the proposed optimization formulation on a real-world industrial TMT bar production facility in India.

IFAC-PapersOnLineVol. 59(32)
Indian Institute of Technology Tirupati (IN)
Openalex Percentile: Top 47%
Scheduling and Optimization Algorithms
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.