Results 41 to 50 of about 273 (214)
Advanced Intelligent Systems, EarlyView.An agentic AI‐driven decision‐support framework for prosumers is proposed, integrating PV generation, load profiling, and multihorizon optimization within a four‐agent architecture. The approach significantly reduces grid dependence, enhances self‐sufficiency and prevents system oversizing.
Adela BÂRA, Simona‐Vasilica OPREA
wiley +1 more source
Business Strategy and the Environment, EarlyView.ABSTRACT Our planet faces a critical crisis, with pollution, resource depletion and biodiversity loss surpassing sustainable limits. Businesses must address these challenges, with the circular economy and Industry 4.0 offering transformative potential through closed‐loop systems, regenerative solutions and advanced technologies.
Agnes Toth‐Peter +3 more
wiley +1 more source
Business Strategy and the Environment, EarlyView.ABSTRACT Implementing digital technologies is touted as the next big step for the firms aiming to improve sustainability in their supply chains. These technologies are often credited with the potential to improve transparency and achieve sustainability.
Amna Farrukh, Aqeel Ahmed, Sadaat Yawar
wiley +1 more source
Optimizing Multi-Technician Work Order Scheduling: A Dispatching Rule Algorithm Approach to Reduce Downtime [PDF]
International Journal of Mathematical, Engineering and Management SciencesThis study investigated the effectiveness of various dispatching rule algorithms in optimizing work-order scheduling involving paired technicians, with a focus on minimizing downtime in industrial maintenance operations.
Farid Sukmana +2 more
doaj +1 more source
Dynamic Jobshop Scheduling Algorithm Based on Deep Q Network
IEEE Access, 2021 Jobshop scheduling is a classic instance in the field of production scheduling. Solving and optimizing the scheduling problem of the jobshop can greatly reduce the production cost of the workshop and improve the processing efficiency, thereby improving ...
Yejian Zhao +4 more
doaj +1 more source
Business Strategy and the Environment, EarlyView.ABSTRACT This study demonstrates how a profitable, lean, and environmentally responsible e‐waste reverse logistics system can be designed using integrated Operations Research (OR) techniques. Addressing the growing urgency of responsible consumption (UN SDG 12) and the projected rise of the e‐waste sector to USD 137.60 billion by 2029, the research ...
Sheeba Pathak, Hajar Fatorachian
wiley +1 more source
A hybrid metaheuristic for scheduling problem in sheet metal processing
Nihon Kikai Gakkai ronbunshu, 2017 In recent years, manufacturing industries are required to provide various kinds of products in a short time while reducing burden on the environment.
Tatsuhiko SAKAGUCHI +3 more
doaj +1 more source
Business Strategy and the Environment, EarlyView.ABSTRACT Financial capital is widely recognized as having the potential to provide investments needed for net‐zero transitions. While recent empirical studies reveal that financial digitalization and fintech have changed Chinese banks' loan portfolios and business models, they stem from credit restrictions on heavily polluting enterprises and from ...
Akihisa Mori
wiley +1 more source
Energy-Efficient Scheduling for a Job Shop Using an Improved Whale Optimization Algorithm
Mathematics, 2018 Under the current environmental pressure, many manufacturing enterprises are urged or forced to adopt effective energy-saving measures. However, environmental metrics, such as energy consumption and CO2 emission, are seldom considered in the traditional ...
Tianhua Jiang +4 more
doaj +1 more source
Business Strategy and the Environment, EarlyView.ABSTRACT This research develops an integrated mixed‐integer linear programming (MILP) model for closed‐loop supply chain network design that optimises competing economic and environmental objectives including profit maximisation, supplier quality improvement and CO2 emission reduction.
Reza Eslamipoor
wiley +1 more source