Search Results - subject:"Multi objective"

A multi-objective planning and scheduling model for elective and emergency cases in the operating room under uncertainty

Fallahpour, Yasaman; Rafiee, Majid; Elomri, Adel; … - In: Decision analytics journal 11 (2024), pp. 1-17

Hospitals are paramount hubs for delivering healthcare services, with their Operating Rooms (ORs) as a pivotal and financially substantial component. Efficient surgery ward planning is crucial in healthcare institutions, aiming to improve medical service quality while reducing costs. This...

Persistent link: https://www.econbiz.de/10015107868

A hybrid simheuristic algorithm for solving bi-objective stochastic flexible job shop scheduling problems

Nessari, Saman; Tavakkoli-Moghaddam, Reza; … - In: Decision analytics journal 11 (2024), pp. 1-13

earliness and tardiness under uncertainty. This hybrid algorithm effectively addresses the complexities of stochastic multi-objective …

Persistent link: https://www.econbiz.de/10015107976

Sustainable service product design method : focus on customer demands and triple bottom line

Liu, Xiao; Li, Ming-Yang - In: Journal of retailing and consumer services 80 (2024), pp. 1-19

Persistent link: https://www.econbiz.de/10015114822

Research on the low-carbon path of regional industrial structure optimization

Feng, Tingting; Liu, Bin; Yang, Wei; Xu, Yawen; Zheng, … - In: Energy strategy reviews 54 (2024), pp. 1-14

conservation. A multi-objective optimization model of industrial structure of economic-social-environmental system was constructed …

Persistent link: https://www.econbiz.de/10014637350

A linear programming-based bi-objective optimization for forecasting short univariate time series

Selvam, Santhosh Kumar; Rajendran, Chandrasekharan; … - In: Decision analytics journal 10 (2024), pp. 1-21

instead of just one. The algorithm is based on the ϵ-constraint-based multi-objective optimization method. The accuracy …

Persistent link: https://www.econbiz.de/10015101650

Nonlinear fuzzy chance constrained approach for multi-objective mixed fuzzy-stochastic optimization problem

Kumar, Ajeet; Mishra, Babita - In: Opsearch : journal of the Operational Research Society … 61 (2024) 1, pp. 121-136

Persistent link: https://www.econbiz.de/10015127174

A multi-objective flexible manufacturing system design optimization using a hybrid response surface methodology

Pasha, Nima; Amoozad Mahdiraji, Hannan; Hajiagha, Seyed … - In: Operations management research : OMR ; advancing … 17 (2024) 1, pp. 135-151

Persistent link: https://www.econbiz.de/10015183238

Multi-objective optimization for assigning reviewers to proposals based on social networks

Luo, Xing-Gang; Li, Hong-Jie; Zhang, Zhong-Liang; Jiang, Wei - In: Journal of management science and engineering 9 (2024) 3, pp. 419-439

assignment and establish two multi-objective linear integer programming models for proposal assignment. We introduce a definition …-partitioning algorithm is designed to solve the multi-objective models with integer objectives. When the problem size is large, two meta …

Persistent link: https://www.econbiz.de/10015077988

Trading in the Quantum Era: Optimizing Bitcoin gains and energy costs

Oprea, Simona-Vasilica; Bâra, Adela; Bucur, Cristian; … - In: Journal of Applied Economics 27 (2024) 1, pp. 1-40

This paper presents an in-depth analysis of a Quantum-inspired Multi-objective Optimization Algorithm (QMOA) applied to …

Persistent link: https://www.econbiz.de/10015334346

Presenting a two-echelon multi-objective supply chain model considering the expiration date of products and solving it by applying MODM

Iraj, Mohammad; Chobar, Adel Pourghader; Peivandizadeh, Ali - In: Sustainable manufacturing and service economics 3 (2024), pp. 1-12

The supply chain (SC) as the most significant factor influencing competitive advantage has a great impact on the organization's life and progress. Considering the expiration date of products in supply chain modeling is essential for ensuring operational efficiency, reducing waste, maintaining...

Persistent link: https://www.econbiz.de/10015332696