创新设计学报 — Design Institute of the Republic of China
SCOPUS INDEXED Q2 JOURNAL
ISSN: 1606-8327 (Print) | 1606-8327 (Online)
Established 2004 | Monthly Frequency
Journal of Design (JoD)
The Journal of Design is an international, multidisciplinary peer-reviewed academic journal. We invite submissions that explore the intersection of theory and practice across diverse fields including Industrial Engineering, Strategic Management, Social Sciences, and the Arts.
As a Scopus Indexed Q2 publication, we maintain high academic standards while ensuring rapid publication through our monthly issuance cycle. We are the official publication of the Design Institute of the Republic of China (Taiwan).
Q2
Official Multidisciplinary Category Scopus Profile:
The publication fee for the Journal of Design is 180 USD, irrespective of manuscript length.
Submission Requirements
A clear abstract (250 words max).
Keywords (3-5).
References formatted in APA Style (7th ed.).
Ethics Statement
The Journal of Design is committed to the highest standards of publication ethics and aligned with COPE guidelines.
Contact Us (联系我们)
Dr. Lin Tingru
Editor-In-Chief
Design Institute of the Republic of China, Taipei
editor.com.journal@gmail.com
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Abstract:
As global industrial sectors face increasing pressure to align with the Paris Agreement, the Sustainable Development Goals (SDGs), and the European Green Deal, the manufacturing industry must reconcile the historically conflicting objectives of maximizing production throughput and minimizing carbon intensity. This study proposes a robust Multi-Objective Mixed-Integer Linear Programming (MOMILP) model designed to optimize production scheduling in a carbon-constrained environment. Unlike traditional models that prioritize operational cost or makespan alone, our approach integrates real-time energy consumption data, machine-state power profiles, and dynamic carbon pricing mechanisms to determine the Pareto-optimal frontier between operational efficiency and environmental sustainability. We validate the proposed model using a high-fidelity case study from a Tier-1 automotive component manufacturing plant specializing in high-pressure engine block casting. Results indicate that a significant 15% reduction in carbon emissions can be achieved with a marginal 3.2% decrease in total throughput. This research provides a scalable, quantitative framework for industrial managers to navigate the transition from Industry 4.0's automation focus to the human-centric and sustainable paradigm of Industry 5.0.
Keywords:
Multi-Objective Optimization; Industrial Decarbonization; Production Scheduling; Energy Efficiency; Carbon-Constrained Manufacturing; Industry 5.0
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