Results 31 to 40 of about 11,781,774 (299)
Modern supply chain environments are characterized by stochastic demand volatility and multifaceted operational interdependencies that render traditional single-objective optimization models inadequate.
Mohammed Zizi +2 more
doaj +1 more source
Integration of Industrial Design Method and Engineering Innovative Course [PDF]
At present, engineering education is faced with a lot of problems. It focuses on cultivating students’ ability of product manufacturing and industrial innovation. However, it lacks communications with other fields.
Ding Zhou +5 more
core +1 more source
Demand forecasting and quantification of uncertainty is an essential asset of the retail supply chain optimization and risk-based inventory decisions. This study will introduce a new hybrid conditional variance model (combining gradient boosting machines
Zizi Mohammed +2 more
doaj +1 more source
Internet of Things-Based Smart and Connected Supply Chain: A Review
In the era of the Internet of Things (IoT) and the Industrial Internet of Things (IIoT), elements along the supply chain can be connected to one another to offer tracking capabilities.
Musaddak Maher Abdul Zahra +3 more
doaj +1 more source
Validation of Systems Engineering Methods and Techniques in Industry
AbstractSystems Engineering methods and techniques are mostly taught under the label “Best practices”. Unfortunately, for most methods and techniques we have little support that they are good or even best. In this paper we describe an industry-as-laboratory approach that is applied to evaluate methods and techniques in industrial practice. Our students
openaire +2 more sources
Industrial and Systems Engineering Review - Guest Editorial
This special issue of the Industrial and Systems Engineering Review (ISER) represents a collection of exemplary undergraduate research, engineering, and analysis.
Evangelista, Paul
core +1 more source
Joint Feature and Similarity Deep Learning for Vehicle Re-identification
In this paper, a joint feature and similarity deep learning (JFSDL) method for vehicle reidentification is proposed. The proposed JFSDL method applies a siamese deep network to extract deep learning features for an input vehicle image pair simultaneously.
Jianqing Zhu +5 more
doaj +1 more source
Engineering peptides into antibodies—opportunities and strategies for therapeutic innovation
Peptides and antibodies occupy complementary therapeutic niches. Peptides recognize difficult targets in a compact format, while antibodies add specificity, long half‐life, and effector functions. This review examines strategies that merge both modalities—peptide grafting into loops, terminal and Fc fusions, and bioconjugation—highlighting how ...
Jinling Wang +2 more
wiley +1 more source
Isolated Renewable-Based Microgrids: A State-of-the-Art Review and Comparative Analysis of Operations, Applications, and Control Strategies [PDF]
Isolated Renewable-Based Microgrids (IRBMs) have emerged as a practical and effective solution for providing reliable and sustainable electricity to remote and off-grid areas.
Mohammed Khayat +4 more
doaj +1 more source
Synergistic perspectives—How single‐molecule biophysics complement biochemical understanding
In this review, we discuss how ensemble biochemistry and single‐molecule approaches are complementary, outline commonly used single‐molecule techniques, and illustrate their relevance through two representative case studies: chromatin organization by SMC complexes and pathway choice during DNA double‐strand break repair.
Sara De Bragança +2 more
wiley +1 more source

