Search Results - subject:"Integer Linear Programming"

An integrated machine learning and quantitative optimization method for designing sustainable bioethanol supply chain networks

Momenitabar, Mohsen; Dehdari Ebrahimi, Zhila; … - In: Decision analytics journal 7 (2023), pp. 1-24

performance criteria for these three methods. We then propose a Mixed-Integer Linear Programming (MILP) model to meet the …

Persistent link: https://www.econbiz.de/10014497305

The future role of thermal energy storage in 100% renewable electricity systems

Jacob, Rhys; Hoffmann, Maximilian; Weinand, Jann Michael; … - In: Renewable and sustainable energy transition 4 (2023), pp. 1-13

Modeling tools and technologies that will allow reaching decarbonization goals in the most cost-effective way are imperative for the transition to a climate-friendly energy system. This includes models which are able to optimize the design of energy systems with a large number of spatially...

Persistent link: https://www.econbiz.de/10014500205

Network design with vulnerability constraints and probabilistic edge reliability

Arslan, Okan; Laporte, Gilbert - 2023

Persistent link: https://www.econbiz.de/10014443097

A seminal contribution of Ailsa Land and Alison Doig Harcourt to the field of mathematical programming

Laporte, Gilbert - 2023

Persistent link: https://www.econbiz.de/10014458578

Mathematical models for the formation and evaluation of manufacturing cells in a textile company : a case study

Naranjo, Israel; Porras, María; Ortiz, Daysi; Tigre, … - In: Journal of industrial engineering and management : JIEM 16 (2023) 2, pp. 382-397

Purpose: Use mathematical models of Mixed Integer Linear Programming oriented to cellular distribution and aggregate …

Persistent link: https://www.econbiz.de/10014513398

Assessment of centralised and localised ice cream supply chains using neighbourhood flow configuration models

Dorneanu, Bogdan; Masham, Elliot; Keykha, Mina; … - In: Supply chain analytics 4 (2023), pp. 1-21

linear programming (MILP) and neighbourhood flow models defined in cellular automata to compare the environmental benefits … aligning with sustainability objectives. This research introduces a novel decision-making approach anchored in mixed integer …

Persistent link: https://www.econbiz.de/10014516530

A mixed-integer linear programming model for sustainable blood supply chain problems with shelf-life time and multiple blood types

Mansur, Agus; Handayani, Dwi Iryaning; Wangsa, Ivan Darma; … - In: Decision analytics journal 8 (2023), pp. 1-16

linear programming (MILP) model that considers multiple echelons, multiple blood types, transportation and production … and the environment, especially with regard to the disposal of expired blood bag waste. This study proposes a new mixed-integer …

Persistent link: https://www.econbiz.de/10014516961

An optimal fog-cloud offloading framework for big data optimization in heterogeneous IoT networks

Bebortta, Sujit; Tripathy, Subhranshu Sekhar; Modibbo, … - In: Decision analytics journal 8 (2023), pp. 1-10

challenge is modeled as an integer linear programming (ILP) problem to ease the burden on finite fog resources and speed up the … linear programming technique for facilitating optimal task offloading that distributes resources from the fog computing layer … latency and fog resource energy consumption in delay-sensitive IoT-Fog applications. This paper suggests a dynamic integer …

Persistent link: https://www.econbiz.de/10014517297

Solving the Traveling Salesman Problem with release dates via branch and cut

Montero, Agustín; Méndez-Díaz, Isabel; … - In: EURO journal on transportation and logistics 12 (2023), pp. 1-12

time needed to serve all customers is minimized. We propose a new Integer Linear Programming model and develop a branch and …

Persistent link: https://www.econbiz.de/10014518066

Algorithms for rescheduling jobs with a LIFO buffer to minimize the weighted number of late jobs

Pferschy, Ulrich; Resch, Julia; Righini, Giovanni - In: Journal of scheduling : JOS 26 (2023) 3, pp. 267-287

Persistent link: https://www.econbiz.de/10014326138