Výsledky vyhledávání - mixed-integer programming model

Novel Mixed-Integer Linear Programming Model for the Multiproduct Pipeline Network Scheduling Problem

Autoři: Bamoumen, Meryem Elfirdoussi, Selwa Ren, Libo a další

Přispěvatelé: Bamoumen, Meryem Elfirdoussi, Selwa Ren, Libo a další

Zdroj: Industrial & Engineering Chemistry Research. 64:16786-16806

Témata: Pipeline network, MILP model, Scheduling, Phosphate minerals transportation, [INFO.INFO-RO] Computer Science [cs]/Operations Research [math.OC]

Mixed-Integer Linear Programming Model for the Rice Supply Chain in Karawang Regency to Minimize Costs

Autoři: null Agus Mansur Annisa Indah Pratiwi Syafa Thania Prawibowo

Zdroj: Jurnal Teknologi dan Manajemen Industri Terapan. 4:993-1006

A New Mixed-Integer Linear Programming Model for Ultimate Pit Limit Determination and Production Planning of Open Pit Mines Considering Effective Operational Constraints

Autoři: M. M. Hajiabedi S. Afraei

Zdroj: International Journal of Engineering. 39:1542-1560

A Mixed-Integer Quadratically Constrained Programming Model for Hybrid DG and Capacitor Placement in Terms of Load Components and Consumption Types

Autoři: Nahar Fehaid Alshammari Meisam Mahdavi Francisco Jurado

Zdroj: IEEE Transactions on Industrial Informatics. 21:7357-7367

Dynamic multi-period mixed-integer non-linear programming model for equipment selection in the mining industry

Autoři: Sena Senses Mustafa Kumral

Zdroj: Mining Technology: Transactions of the Institutions of Mining and Metallurgy. 134:143-158

A Mixed Integer‐Linear Programming Model for Solving the Hydroelectric Unit Maintenance Scheduling Problem

Autoři: Yuehao Tang

Zdroj: IEEJ Transactions on Electrical and Electronic Engineering. 20:1165-1175

A bi-level mixed integer non-linear programming model to solve the billboard location problem in cities

Autoři: Ahmed W. A. Hammad Vivian W. Y. Tam Assed N. Haddad

Zdroj: International Journal of Construction Management. :1-9

A bi-objective optimisation model for the drone scheduling problem in island delivery.

Autoři: Yang, Ying Liu, Jiaxin Wang, Shuaian

Zdroj: International Journal of Production Research. Oct2025, Vol. 63 Issue 19, p7174-7195. 22p.

Témata: *SCHEDULING, *DRONE aircraft delivery, *ENERGY consumption, *DELIVERY of goods, MULTI-objective optimization, MIXED integer linear programming

Mixed Integer Programming Model Based on Branch Delimitation-Relaxation Variables Application in Sustainable Supply Chain Enterprise Management.

Autoři: Zhong, Qi'an¹ (AUTHOR) zhongqian0228@163.com

Zdroj: Journal of Advanced Manufacturing Systems. Dec2025, Vol. 24 Issue 4, p881-896. 16p.

Témata: *SUPPLY chain management, *MATHEMATICAL programming, *ENVIRONMENTAL impact analysis, *ECONOMIC efficiency, *RESOURCE allocation, *SUPPLY chains, *DECISION making, MIXED integer linear programming

Optimization Model for Crop Planting Scheme Based on Mixed-Integer Programming

Autoři: Jingwen Yan Kai Wu Haonan Wang

Zdroj: Highlights in Business, Economics and Management. 53:287-294

Un modello di programmazione lineare mista a numeri interi per la riprogrammazione dei treni merci in caso di chiusura inaspettata dello scalo di smistamento [A Mixed-Integer-Linear-Programming Model for Rescheduling Freight Trains under an Unexpected Marshalling-Yard Closure]

Autoři: Häll, Carl Henrik Peterson, Anders, Docent Schmidt, Christiane a další

Zdroj: Ingegneria Ferroviaria. (6):463-482

Témata: Freight trains, Marshalling yards, Mixed integer linear programming model

Popis souboru: print

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-209962

A Two-Stage Mixed Integer Programming Model for Distributionally Robust State-Based Non-Intrusive Load Monitoring

Autoři: Chen Zhang Zimo Chai Linfeng Yang

Zdroj: IEEE Transactions on Consumer Electronics. 71:1024-1033

A Mixed-Integer Linear Programming Model for Repeaters and Routers Location-Allocation Problem in Open-Pit Mines

Autoři: Jéssica Costa Arthur Pereira Higor Milanês a další

Zdroj: Proceedings of the 27th International Conference on Enterprise Information Systems. :724-731

Multi-objective mixed integer programming model for agriculture food supply chain network design problem

Autoři: Bahtınur Akçay Ceren Küçükoğlu Bilge Bilgen

Zdroj: Pamukkale University Journal of Engineering Sciences. 31:199-211

A Novel Mixed Integer Programming Model With Precedence Relation-Based Decision Variables for Non-Cyclic Scheduling of Cluster Tools

Autoři: Jeongsun Ahn Hyun-Jung Kim

Zdroj: IEEE Transactions on Automation Science and Engineering. 22:2893-2908

Mixed integer linear programming model for a multi-depot arc routing problem with different arc types and flexible assignment of end depot

Autoři: Ameni Kraiem Jean-François Audy Amina Lamghari

Zdroj: Transportation Research Procedia. 82:1109-1119

A mixed-integer non-linear programming model for a reliable perishable crop supply chain to manage the disruption risk

Autoři: Sina Abbasi Sobhan Jabari Ehsan Soltanifar a další

Zdroj: Journal of Agriculture and Food Research, Vol 25, Iss , Pp 102538- (2026)

Témata: Supply chain design, Perishable crops, Optimization, Real case study, Mixed-integer non-linear programming, Agriculture (General), S1-972, Nutrition. Foods and food supply, TX341-641

Popis souboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2666154325009093; https://doaj.org/toc/2666-1543

Přístupová URL adresa: https://doaj.org/article/bbbed092f7b248518b6baa27dec30ea9

A Mixed Integer Programming model to optimize production planning in the luxury textile industry

Autoři: Andrea Rossi Lorenzo Tiacci Matteo Simonetti

Zdroj: Procedia Computer Science. 253:1175-1184

Mixed Integer Programming Model for Planning Interventions to Care for Cardiovascular Patients After Natural Disasters

Autoři: Faria Farzana Eduardo Perez

Zdroj: Operations Research Forum. 6

Optimal Design of a Biofuel Supply Chain Considering Government Subsidies: Mixed-Integer Linear Programming Model

Autoři: Niloofar Akbarian-Saravi Ali Akbarian-Saravi Masoud Rabbania

Zdroj: IISE Annual Conference & Expo 2024. :367-374