Demand response application in industrial scenarios: A systematic mapping of practical implementation

SAB dos Santos, JM Soares, GC Barroso… - Expert Systems with …, 2023 - Elsevier
The industrial sector is the one that consumes the most energy in the world, whereas
manufacturing activities play an important role in the energy consumption in the industry …

Unveiling the potential of hotel mergers: A hybrid DEA approach for optimizing sector-wide performance in the hospitality industry

A Oukil, RE Kennedy, A Al-Hajri, AA Soltani - International Journal of …, 2024 - Elsevier
Mergers and acquisitions (M&A) in the hospitality sector involve consolidating assets among
hotels through partnerships. While data envelopment analysis (DEA) has been widely used …

An improved multi-objective evolutionary algorithm based on decomposition for solving re-entrant hybrid flow shop scheduling problem with batch processing …

X Wu, Z Cao - Computers & Industrial Engineering, 2022 - Elsevier
Cold-drawn seamless steel pipes play a pivotal role in special industries. However,
scheduling plan, as the core of the production, is manually made, which leads to the issue of …

Using inverse data envelopment analysis to evaluate potential impact of mergers on energy use optimization-Application in the agricultural production

A Oukil, A Nourani, A Bencheikh, AA Soltani - Journal of Cleaner …, 2022 - Elsevier
This paper examines the potential of Mergers & Acquisitions (M&As) as a novel approach to
energy use optimization. The investigations are carried out through inverse data …

Global correlation coordination model for ranking decision-making units based on cross-efficiency game

M Li, YM Wang, J Lin - Computers & Industrial Engineering, 2023 - Elsevier
DEA cross-efficiency evaluation method can rank decision making units (DMUs) more
reasonably than the classical DEA model, but the existing cross-efficiency evaluation …

Global multi-period performance evaluation–new model and productivity index

Z Moghaddas, A Oukil, M Vaez-Ghasemi - RAIRO-Operations Research, 2022 - rairo-ro.org
In this paper, we introduce a novel multi-period data envelopment analysis (MDEA) model
that attempts to circumvent the limitations of the existing MDEA models. The proposed global …

A DEA cross-efficiency inclusive methodology for assessing water quality: A Composite Water Quality Index

A Oukil, AA Soltani, S Zeroual, H Boutaghane… - Journal of …, 2022 - Elsevier
This paper introduces a new index, identified as Composite Water Quality Index (CWQI), for
assessing water quality. The novelty of CWQI is rooted in the practical significance of the …

A hybrid discrete differential evolution–genetic algorithm approach with a new batch formation mechanism for parallel batch scheduling considering batch delivery

I Kucukkoc, G Aydin Keskin, AD Karaoglan… - … Journal of Production …, 2024 - Taylor & Francis
Scheduling is an important decision-making problem in production planning and the
resulting decisions have a direct impact on reducing waste, including energy and idle …

Selecting material handling equipment through a market weight scheme based DEA cross-efficiency approach

A Oukil - International Journal of Management Science and …, 2024 - Taylor & Francis
This paper presents a robust tool for ranking MHE prior to selecting the best one. The
proposed ranking methodology is based on a new key performance indicator, identified as …

Data-driven robust DEA models for measuring operational efficiency of endowment insurance system of different provinces in China

S Qu, C Feng, S Jiang, J Wei, Y Xu - Sustainability, 2022 - mdpi.com
China is facing an increasingly serious aging problem, which puts forward higher
requirements for the smoothness of the endowment insurance system. Accurate evaluation …