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Relevant bibliographies by topics / Mixed integer linear programming (MILP)

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Academic literature on the topic 'Mixed integer linear programming (MILP)'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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Journal articles on the topic "Mixed integer linear programming (MILP)"

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Ren, Huizhi, and Shenshen Sun. "A Hybrid IP/GA Approach to the Parallel Production Lines Scheduling Problem." Discrete Dynamics in Nature and Society 2016 (2016): 1–11. http://dx.doi.org/10.1155/2016/5201937.

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A special parallel production lines scheduling problem is studied in this paper. Considering the time window and technical constraints, a mixed integer linear programming (MILP) model is formulated for the problem. A few valid inequalities are deduced and a hybrid mixed integer linear programming/constraint programming (MILP/CP) decomposition strategy is introduced. Based on them, a hybrid integer programming/genetic algorithm (IP/GA) approach is proposed to solve the problem. At last, the numerical experiments demonstrate that the proposed solution approach is effective and efficient.

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Li, Xu, Xiaoheng Ji, and Xiaolong Zeng. "Optimizing supply chain networks using mixed integer linear programming (MILP)." Theoretical and Natural Science 41, no. 1 (2024): 25–30. http://dx.doi.org/10.54254/2753-8818/41/20240642.

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Mixed Integer Linear Programming (MILP) has emerged as a powerful tool for optimizing complex supply chain networks. This paper explores the theoretical foundations of MILP, including the integration of integer variables and advanced solution techniques such as branch-and-bound and branch-and-cut algorithms. Through detailed modeling of production planning, network design, and transportation logistics, MILP enables companies to achieve significant cost reductions and operational efficiencies. We present case studies from retail, manufacturing, and pharmaceutical sectors to illustrate the pract

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Li, Xu, Xiaoheng Ji, and Xiaolong Zeng. "Optimizing supply chain networks using mixed integer linear programming (MILP)." Theoretical and Natural Science 53, no. 1 (2024): 10–15. http://dx.doi.org/10.54254/2753-8818/53/20240642.

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Mixed Integer Linear Programming (MILP) has emerged as a powerful tool for optimizing complex supply chain networks. This paper explores the theoretical foundations of MILP, including the integration of integer variables and advanced solution techniques such as branch-and-bound and branch-and-cut algorithms. Through detailed modeling of production planning, network design, and transportation logistics, MILP enables companies to achieve significant cost reductions and operational efficiencies. We present case studies from retail, manufacturing, and pharmaceutical sectors to illustrate the pract

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Kong, Ray Wai Man, Ding Ning, and Kong Theodore Ho Tin. "Mixed-Integer Linear Programming (MILP) for Garment Line Balancing." International Journal of Scientific Research and Modern Technology 4, no. 2 (2025): 64–77. https://doi.org/10.5281/zenodo.14942910.

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This applied research article explores the application of Mixed-Integer Linear Programming (MILP) to address line-balancing challenges in the garment industry, focusing on optimizing production processes under multiple constraints. By integrating MILP with Lean Methodology principles, the study demonstrates significant improvements in operational efficiency and cost-effectiveness. The case study, conducted in collaboration with Prof Dr Ray WM Kong, highlights the successful implementation of MILP using IBM CPLEX Studio to optimize production order quantities across online and offline operation

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Jablonský, Josef. "Benchmarks for Current Linear and Mixed Integer Optimization Solvers." Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 63, no. 6 (2015): 1923–28. http://dx.doi.org/10.11118/actaun201563061923.

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Linear programming (LP) and mixed integer linear programming (MILP) problems belong among very important class of problems that find their applications in various managerial consequences. The aim of the paper is to discuss computational performance of current optimization packages for solving large scale LP and MILP optimization problems. Current market with LP and MILP solvers is quite extensive. Probably among the most powerful solvers GUROBI 6.0, IBM ILOG CPLEX 12.6.1, and XPRESS Optimizer 27.01 belong. Their attractiveness for academic research is given, except their computational performa

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Piacentini, Chiara, Margarita Castro, Andre Cire, and J. Christopher Beck. "Compiling Optimal Numeric Planning to Mixed Integer Linear Programming." Proceedings of the International Conference on Automated Planning and Scheduling 28 (June 15, 2018): 383–87. http://dx.doi.org/10.1609/icaps.v28i1.13919.

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Compilation techniques in planning reformulate a problem into an alternative encoding for which efficient, off-the-shelf solvers are available. In this work, we present a novel mixed-integer linear programming (MILP) compilation for cost-optimal numeric planning with instantaneous actions. While recent works on the problem are restricted to actions that modify variables present in simple numeric conditions, our MILP formulation, in addition, handles linear conditions and linear action effects on numeric state variables. Such problems are particularly challenging due to the state-dependency of

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Hussin, S. M., M. Y. Hassan, L. Wu, M. P. Abdullah, N. Rosmin, and M. A. Ahmad. "Mixed Integer Linear Programming for Maintenance Scheduling in Power System Planning." Indonesian Journal of Electrical Engineering and Computer Science 11, no. 2 (2018): 607. http://dx.doi.org/10.11591/ijeecs.v11.i2.pp607-613.

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This paper discussed the merit of mixed-integer linear programming (MILP)-based approach against Lagrangian relaxation (LR)-based approach in solving generation and transmission maintenance scheduling problem. MILP provides a straightforward solution by formulating coupling constraints equations so that these sub-problems can be solved simultaneously without involving multipliers. In LR-based approach, generation and transmission maintenance scheduling, and security-constrained unit commitment have been solved individually and the integration was realized through a series of multipliers which

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S.M., Hussin, Hassan M.Y., Wu L., Abdullah M.P., Rosmin N., and Ahmad M.A. "Mixed Integer Linear Programming for Maintenance Scheduling in Power System Planning." Indonesian Journal of Electrical Engineering and Computer Science 11, no. 2 (2018): 607–13. https://doi.org/10.11591/ijeecs.v11.i2.pp607-613.

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This paper discussed the merit of mixed-integer linear programming (MILP)- based approach against Lagrangian relaxation (LR)-based approach in solving generation and transmission maintenance scheduling problem. MILP provides a straightforward solution by formulating coupling constraints equations so that these sub-problems can be solved simultaneously without involving multipliers. In LR-based approach, generation and transmission maintenance scheduling, and security-constrained unit commitment have been solved individually and the integration was realized through a series of multipliers which

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Abdelmaguid, Tamer. "An Efficient Mixed Integer Linear Programming Model for the Minimum Spanning Tree Problem." Mathematics 6, no. 10 (2018): 183. http://dx.doi.org/10.3390/math6100183.

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Finding a minimum spanning tree in a given network is a famous combinatorial optimization problem that appears in different engineering applications. Even though this problem is solvable in polynomial time, having efficient mathematical programming models is important as they can provide insights for formulating larger models that integrate other decisions in more complex applications. In the literature, there are ten different integer and mixed integer linear programming (MILP) models for this problem. They are variants of set packing, cuts, network flow and node level formulations. In additi

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Fernández-Navarro, Francisco, Luisa Martínez-Nieto, Mariano Carbonero-Ruz, and Teresa Montero-Romero. "Mean Squared Variance Portfolio: A Mixed-Integer Linear Programming Formulation." Mathematics 9, no. 3 (2021): 223. http://dx.doi.org/10.3390/math9030223.

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The mean-variance (MV) portfolio is typically formulated as a quadratic programming (QP) problem that linearly combines the conflicting objectives of minimizing the risk and maximizing the expected return through a risk aversion profile parameter. In this formulation, the two objectives are expressed in different units, an issue that could definitely hamper obtaining a more competitive set of portfolio weights. For example, a modification in the scale in which returns are expressed (by one or percent) in the MV portfolio, implies a modification in the solution of the problem. Motivated by this

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Dissertations / Theses on the topic "Mixed integer linear programming (MILP)"

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Rush, Andrew J. "Partial Destination Resolution in Multicast Elastic Optical Networks: A Mixed-Integer Linear Programming Approach." Miami University / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=miami1470324185.

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Paleti, Apuroop. "Performance Evaluation of Path Planning Techniques for Unmanned Aerial Vehicles : A comparative analysis of A-star algorithm and Mixed Integer Linear Programming." Thesis, Blekinge Tekniska Högskola, Institutionen för datalogi och datorsystemteknik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-13541.

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Context: Unmanned Aerial Vehicles are being widely being used for various scientific and non-scientific purposes. This increases the need for effective and efficient path planning of Unmanned Aerial Vehicles.Two of the most commonly used methods are the A-star algorithm and Mixed Integer Linear Programming.Objectives: Conduct a simulation experiment to determine the performance of A-star algorithm and Mixed Integer Linear Programming for path planning of Unmanned Aerial Vehicle in a simulated environment.Further, evaluate A-star algorithm and Mixed Integer LinearProgramming based computational

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Devens, James A. "Autonomous Navigation with Obstacle Avoidance for Unmanned Aircraft Systems using MILP." VCU Scholars Compass, 2016. http://scholarscompass.vcu.edu/etd/4461.

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Autonomous coordination among multiple aerial vehicles to ensure a collision free airspace is a critical aspect of today’s airspace. With the rise of Unmanned Aerial Vehicles (UAVs) in the military and commercial sectors, obstacle avoidance in a densely populated airspace is necessary. This thesis investigates finding optimal or near-optimal trajectories in real-time for aircraft in complex airspaces containing a large number of obstacles. The solution for the trajectories is described as a linear program subject to mixed integer constraints, known as a Mixed Integer Linear Program (MILP). The

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Knisely, Nathan C. L. "Cyber-physical acquisition strategy for COTS-based agility-driven engineering." Diss., Georgia Institute of Technology, 2016. http://hdl.handle.net/1853/55007.

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The rising cost of military aircraft has driven the DoD to increase the utilization of commercial off-the-shelf (COTS) components in new acquisitions. Despite several demonstrated advantages of COTS-based systems, challenges relating to obsolescence arise when attempting to design and sustain such systems using traditional acquisition processes. This research addresses these challenges through the creation of an Agile Systems Engineering framework that is specifically aimed at COTS-based systems. This framework, known as the Cyber-physical Acquisition Strategy for COTS-based Agility-Driven Eng

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Sahani, Nitasha. "Optimal Charging Scheduling for Electric Vehicles Based on a Moving Horizon Approach." Thesis, Virginia Tech, 2019. http://hdl.handle.net/10919/96544.

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The rapid escalation in plug-in electric vehicles (PEVs) and their uncoordinated charging patterns pose several challenges in distribution system operation. Some of the undesirable effects include overloading of transformers, rapid voltage fluctuations, and over/under voltages. While this compromises the consumer power quality, it also puts on extra stress on the local voltage control devices. These challenges demand a well-coordinated and power network-aware charging approach for PEVs in a community. This paper formulates a realtime electric vehicle charging scheduling problem as a mixed-inte

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Gustafsson, Marcus. "Batterilager i kommersiella fastigheter : Lönsamhetsanalys av batterilager med hjälp av blandad heltalsprogrammering." Thesis, Karlstads universitet, Fakulteten för hälsa, natur- och teknikvetenskap (from 2013), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-63020.

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De senaste åren har en större mängd decentraliserad och variabel energiproduktion tagit plats inom elsystemet, mer specifikt vindkraft och solkraft, och etablering av mer distribuerad produktion kommer att fortsätta i enlighet med mål från nationer och världsorganisationer att fasa ut fossila bränslen och minska på växthusgasutsläpp. I takt med nedläggning av storskaliga kraftverk baserade på fossila bränslen påverkar detta möjligheterna att möta upp elbehovet med den tillgängliga produktionen. Mycket variabel produktion har samtidigt en negativ påverkan på elnätstabiliteten och kan skapa höga

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Rech, Sergio. "Analisi e ottimizzazione della configurazione di un macrosistema di conversione di energia." Doctoral thesis, Università degli studi di Padova, 2013. http://hdl.handle.net/11577/3423587.

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The depletion of fossil fuel sources and the increasing difficulty in the search and development of alternative sources push to the search of more complex energy systems configurations to enhance efficiency and reduce costs. This, in turn, requires more efficient (but simple) tools to predict systems behavior with the required level of accuracy (simulation tools), and increases the number of options both in the system design and operation (optimization procedures). A general approach for energy systems simulation and optimization is first presented in this thesis, which applies at any level

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Snellings, Christopher. "Effective Network Partitioning to Find MIP Solutions to the Train Dispatching Problem." VCU Scholars Compass, 2013. http://scholarscompass.vcu.edu/etd/3285.

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Each year the Railway Applications Section (RAS) of the Institution for Operations Research and the Management Sciences (INFORMS) posits a research problem to the world in the form of a competition. For 2012, the contest involved solving the Train Dispatching Problem (TDP) on a realistic 85 edge network for three different sets of input data. This work is an independent attempt to match or improve upon the results of the top three finishers in the contest using mixed integer programming (MIP) techniques while minimizing the use of heuristics. The primary focus is to partition the network i

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Ferroni, Nicola. "Exact Combinatorial Optimization with Graph Convolutional Neural Networks." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2019. http://amslaurea.unibo.it/17502/.

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Combinatorial optimization problems are typically tackled by the branch-and-bound paradigm. We propose to learn a variable selection policy for branch-and-bound in mixed-integer linear programming, by imitation learning on a diversified variant of the strong branching expert rule. We encode states as bipartite graphs and parameterize the policy as a graph convolutional neural network. Experiments on a series of synthetic problems demonstrate that our approach produces policies that can improve upon expert-designed branching rules on large problems, and generalize to instances significantly lar

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Hassan, Mohamed Elhafiz. "Power Plant Operation Optimization : Unit Commitment of Combined Cycle Power Plants Using Machine Learning and MILP." Thesis, mohamed-ahmed@siemens.com, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-395304.

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In modern days electric power systems, the penetration of renewable resources and the introduction of free market principles have led to new challenges facing the power producers and regulators. Renewable production is intermittent which leads to fluctuations in the grid and requires more control for regulators, and the free market principle raises the challenge for power plant producers to operate their plants in the most profitable way given the fluctuating prices. Those problems are addressed in the literature as the Economic Dispatch, and they have been discussed from both regulator and pr

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Books on the topic "Mixed integer linear programming (MILP)"

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Mansini, Renata, Włodzimierz Ogryczak, and M. Grazia Speranza. Linear and Mixed Integer Programming for Portfolio Optimization. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-18482-1.

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Iyengar, A. V. K. Optimal location of cement plants: Using mixed integer linear programming model. Institute for Financial Management and Research, 1992.

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LOPEZ, J. OPTIMIZATION with MATLAB. LINEAR PROGRAMMING and MIXED-INTEGER LINEAR PROGRAMMING. Independently Published, 2019.

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Mansini, Renata, M. Grazia Speranza, and Włodzimierz Ogryczak. Linear and Mixed Integer Programming for Portfolio Optimization. Springer London, Limited, 2015.

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Ogryczak, Włodzimierz, Renata Mansini, and M. Grazia Speranza. Linear and Mixed Integer Programming for Portfolio Optimization. Springer, 2015.

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Ogryczak, Włodzimierz, Renata Mansini, and M. Grazia Speranza. Linear and Mixed Integer Programming for Portfolio Optimization. Springer, 2016.

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Little, John D. C. Synchronization of Traffic Signals by Mixed-Integer Linear Programming. Creative Media Partners, LLC, 2015.

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Little, John D. C. Synchronization of Traffic Signals by Mixed-Integer Linear Programming. Creative Media Partners, LLC, 2018.

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Synchronization of Traffic Signals by Mixed-Integer Linear Programming. Creative Media Partners, LLC, 2022.

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Abichandani, Pramod, Hande Benson, and Moshe Kam. Mathematical Programming Approaches for Multi-Vehicle Motion Planning: Linear, Nonlinear, and Mixed Integer Programming. Now Publishers, 2013.

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Book chapters on the topic "Mixed integer linear programming (MILP)"

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Pineda, Joel, Diego Carrión, and Manuel Jaramillo. "Dynamic Analysis of Transient Stability in Power Systems After Optimal Transmission Switching." In Lecture Notes in Networks and Systems. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-87065-1_35.

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Abstract The present research aims to analyze the transient stability after optimal transmission switching (OTS), which accommodates the optimal DC power flows, leading to OTSDC, which facilitates the optimal transmission switching without affecting the load, considering both the optimal power dispatch while complying with the technical and operational constraints established by the system. This was performed for three scenarios when one, two, and three switched transmission lines. All this was an optimization case solved using mixed integer linear programming (MILP) through GAMS and MATLAB op

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Adjei, Peter, and Dale Masel. "RCSRS Multi-robot Path Planning Using Mixed-Integer Linear Programming (MILP): An A* Algorithm Approach." In Lecture Notes in Production Engineering. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-77723-3_2.

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Bork, Alexander, Joost-Pieter Katoen, and Tim Quatmann. "Under-Approximating Expected Total Rewards in POMDPs." In Tools and Algorithms for the Construction and Analysis of Systems. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-99527-0_2.

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AbstractWe consider the problem: is the optimal expected total reward to reach a goal state in a partially observable Markov decision process (POMDP) below a given threshold? We tackle this—generally undecidable—problem by computing under-approximations on these total expected rewards. This is done by abstracting finite unfoldings of the infinite belief MDP of the POMDP. The key issue is to find a suitable under-approximation of the value function. We provide two techniques: a simple (cut-off) technique that uses a good policy on the POMDP, and a more advanced technique (belief clipping) that

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Zhao, Xiancong, Hao Bai, Qi Shi, Jiehai Han, and Hongxu Li. "Optimal Distribution of Byproduct Gases in Iron and Steel Industry Based on Mixed Integer Linear Programming (MILP)." In Energy Technology 2015. John Wiley & Sons, Inc., 2015. http://dx.doi.org/10.1002/9781119093220.ch9.

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Zhao, Xiancong, Hao Bai, Qi Shi, Jiehai Han, and Hongxu Li. "Optimal Distribution of Byproduct Gases in Iron and Steel Industry Based on Mixed Integer Linear Programming (MILP)." In Energy Technology 2015. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-48220-0_9.

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Zhang, Yedi, Fu Song, and Jun Sun. "QEBVerif: Quantization Error Bound Verification of Neural Networks." In Computer Aided Verification. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-37703-7_20.

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AbstractTo alleviate the practical constraints for deploying deep neural networks (DNNs) on edge devices, quantization is widely regarded as one promising technique. It reduces the resource requirements for computational power and storage space by quantizing the weights and/or activation tensors of a DNN into lower bit-width fixed-point numbers, resulting in quantized neural networks (QNNs). While it has been empirically shown to introduce minor accuracy loss, critical verified properties of a DNN might become invalid once quantized. Existing verification methods focus on either individual neu

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Gelgfren, Jan M., Hélène Arvis, Simon Hagemann, and Sigrid Wenzel. "Mixed-Integer Programming Model for Scheduling of Modular Automotive Body-In-White Production Systems." In Advances in Automotive Production Technology – Towards Software-Defined Manufacturing and Resilient Supply Chains. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-27933-1_7.

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AbstractThe turbulent transition in the automotive industry towards electric vehicles is highly challenging, both in product development and in production. Conventional, linear assembly lines struggle to meet the flexibility requirements imposed by this market development. Thispaper presents the first mixed-integer programming (MIP) model which is tailor-made for the scheduling of modular body-in-white (BIW)production systems. The main novelty of the presented approach lies in using precedence graphs for modelling the joining steps of the BIW production and allowing for different capabilities

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Nagasawa, Keisuke, Katsumi Morikawa, and Katsuhiko Takahashi. "Sustainable Sugarcane Supply Chain Network Design with Multiple Capacity Candidate in Facility Units." In Lecture Notes in Mechanical Engineering. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-93891-7_82.

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Abstract The sugarcane supply chain is rapidly gaining attention because unstable and rising fossil fuel prices, environmental limitations, and the energy needs of growing economies in developing countries are driving demand for clean, renewable energy. Bioenergy continues to attract attention from researchers because of its various advantages over other renewable energy sources. This paper developed a mixed-integer linear programming model (MILP) to design a sustainable sugarcane-based bioenergy supply chain network to optimize a facility location and transportation flow amount for decision v

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Burer, Samuel, and Anureet Saxena. "The MILP Road to MIQCP." In Mixed Integer Nonlinear Programming. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4614-1927-3_13.

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Stancu-Minasian, I. M. "Integer and Mixed Integer Linear Fractional Programming." In Fractional Programming. Springer Netherlands, 1997. http://dx.doi.org/10.1007/978-94-009-0035-6_10.

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Conference papers on the topic "Mixed integer linear programming (MILP)"

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V�zquez, Daniel, and Raul Calvo-Serrano. "Optimization of Sustainable Fuel Station Retrofitting: A Set-Covering Approach considering Environmental and Economic Objectives." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.198575.

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In this work, we propose a mixed-integer linear programming (MILP) model that optimizes economic and environmental objectives by retrofitting fuel stations for the case study of Spain. The model contains set-covering constraints that ensure that there is at least one retrofitted fuel station within a radius of 20 kilometers of each retrofitted fuel station. The results indicate that by retrofitting fuel stations to allow for electric vehicles, both economic and environmental objectives improve, while showing which power plants would be tasked with the increase in electricity production to sati

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Zervopoulou, Stavroula, Stavros Papadokonstantakis, Mika J�rvinen, and Muddasser Inayat. "Lignocellulosic Waste Supply Chain Network Design for Sustainable Aviation Fuels Production through Solar Pyrolysis." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.152432.

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This study optimizes the Sustainable Aviation Fuel Supply Chain Network (SAFSCN) in the Czech Republic, using wheat straw as feedstock. It integrates geospatial data, transportation logistics, and economic feasibility, applying mixed-integer linear programming (MILP) to optimize pyrolysis plant locations and minimize costs. Sensitivity analysis varied wheat production growth by �0.1% and �0.2%. Results confirm Sustainable Aviation Fuel (SAF) production is technically and economically viable, with costs projected to decline up to 30.64% and revenues rising 49.07% from 2030 to 2050 due to techno

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Samouilidou, Maria E., Nikolaos Passalis, Georgios P. Georgiadis, and Michael C. Georgiadis. "Enhancing Large-Scale Production Scheduling Using Machine-Learning Techniques." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.168290.

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This study focuses on optimizing production scheduling in multi-product plants with shared resources and costly changeover operations. Specifically, two main challenges are addressed, the unknown changeover behavior of new products and the need for rapid schedule generation after unforeseen events. An innovative framework integrating Machine Learning (ML) techniques with Mixed-Integer Linear Programming (MILP) is proposed for single-stage production processes. Initially, a regression model predicts unknown changeover times based on key product attributes. Then, a representation where distances

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Chattopadhyay, Sampriti, Rahul Gandhi, Ignacio E. Grossmann, and Ana I. Torres. "Optimization of Retrofit Decarbonization in Oil Refineries." In Foundations of Computer-Aided Process Design. PSE Press, 2024. http://dx.doi.org/10.69997/sct.114841.

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The chemical industry is actively pursuing energy transition and decarbonization through renewables and other decarbonization initiatives. However, navigating this transition is challenging due to uncertainties in capital investments, electricity costs, and carbon taxes. Adapting to decarbonization standards while preserving existing valuable infrastructure presents a dilemma. Early transitions may lead to inefficiencies, while delays increase the carbon footprint. This research proposes a framework to find an optimal retrofit decarbonization strategy for existing oil refineries. We start with

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Babadi, Hourissa Soleymani, and Lazaros G. Papageorgiou. "Optimisation of Carbon Capture Utilisation and Storage Supply Chains Under Carbon Trading and Taxation." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.194067.

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In recent years, several strategies have been developed to reduce the carbon dioxide (CO2) released into the atmosphere. Carbon Capture, Storage and Utilisation (CCUS) is one of the proposed solutions. However, CCUS systems are expensive to install and operate. Furthermore, most studies in the literature have focused on CO2 utilisation and storage separately, without accounting for the effects of other CO2 emission management strategies. To address this gap, a Mixed Integer Linear Programming (MILP) framework for a supply chain network is developed in this work, incorporating CO2 storage, util

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Santana, Leonardo O. S. de, Gustavo S. dos Santos, Fernando L. P. Pessoa, and Ana P. Barbosa-P�voa. "The Green Hydrogen Supply Chain in The Brazilian State of Bahia: A Deterministic Approach." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.185907.

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Hydrogen is a key element in the global transition toward a low-carbon economy, with green hydrogen offering significant potential to decarbonize industries and energy systems. This study focuses on designing and optimizing a green hydrogen supply chain (HSC) for the state of Bahia, Brazil, using a deterministic Mixed-Integer Linear Programming (MILP) model. The model evaluates 24 scenarios combining production sites, storage technologies, transportation methods, and energy sources, minimizing the Total Sustainable Cost (TSC). The TSC integrates financial and environmental costs, monetizing CO

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Junior, Ivaldir J. Tamagno, Bruno F. Santoro, Omar Guerra, and Mois�s Teles dos Santos. "An MILP model to identify optimal strategies to convert soybean straw into value-added products." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.185559.

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Soybean is a highly valuable global commodity due to its versatility and numerous derivative products. During harvest, all non-seed materials become �straw�. Currently, this waste is primarily used for low-value purposes such as animal feed, landfilling, and incineration. To address this, the present work proposes a conceptual biorefinery aimed at converting soybean straw into higher-value products. The study began with data collection to identify potential conversion routes. Based on this information, a superstructure was developed, comprising seven conversion routes: four thermochemical rout

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Munoz-Briones, Paola A., Aurora del C. Mungu�a-L�pez, Kevin L. S�nchez-Rivera, Victor M. Zavala, George W. Huber, and Styliani Avraamidou. "Optimal Design of Food Packaging Considering Waste Management Technologies to Achieve Circular Economy." In Foundations of Computer-Aided Process Design. PSE Press, 2024. http://dx.doi.org/10.69997/sct.154335.

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Plastic packaging plays a fundamental role in the food industry, avoiding food waste and facilitating food access. The increasing plastic production and the lack of appropriate plastic waste management technologies represent a threat to the environmental and human welfare. Therefore, there is an urgent need to identify sustainable packaging solutions. Circular economy (CE) promotes reducing waste and increasing recycling practices to achieve sustainability. In this work, we propose a CE framework based on multi-objective optimization, considering both economic and environmental impacts, to ide

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Limpach, Juliette M., Muhammad Salman, Daniel Florez-Orrego, Fran�ois Mar�chal, and Gr�goire L�onard. "Evaluation of Energy Transition Pathways for Industries with Low-Temperature Heat Demand: The Case of Laundry and Syrup Sectors." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.141643.

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Industries with low-temperature heat demand, such as laundry and syrup sectors, heavily rely on natural gas-fired boilers, posing challenges to achieving net-zero emissions by 2050. Like hard-to-abate sectors, they must explore energy transition strategies, including heat recovery, fuel substitution, or carbon capture, to reduce CO2 emissions. This paper evaluates the potential of energy transition in these sectors through case studies, using a mixed integer linear programming (MILP) approach. The analysis focuses on three key performance indicators (KPIs): specific energy consumption, CO2 red

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Naraghi, Saba Ghasemi, and Zheyu Jiang. "Joint Optimization of Fair Facility Allocation and Robust Inventory Management for Perishable Consumer Products." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.153925.

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Perishable consumer products like food, cosmetics, and household chemicals face challenges in supply chain management due to limited shelf life and uncertainties in demand and transportation. To address some of these issues, this work proposes a robust optimization framework for jointly optimizing facility allocation and inventory management. The framework determines optimal locations for distribution centers and their assigned customers, as well as inventory policies that minimize the total costs related to transportation, distribution, and storage under uncertain demand in a robust setting.

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Reports on the topic "Mixed integer linear programming (MILP)"

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Terlaky, Tamas. Mixed-Integer Conic Linear Programming: Challenges and Perspectives. Defense Technical Information Center, 2013. http://dx.doi.org/10.21236/ada590477.

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Bays, Matthew J., and Thomas A. Wettergren. Optimized Waterspace Management and Scheduling Using Mixed-Integer Linear Programming. Defense Technical Information Center, 2016. http://dx.doi.org/10.21236/ad1005254.

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Henry, Stephen, Frank Muldoon, Matthew Hoffman, et al. The Capability Portfolio Analysis Tool (CPAT): A Mixed Integer Linear Programming Formulation for Fleet Modernization Analysis. Office of Scientific and Technical Information (OSTI), 2015. http://dx.doi.org/10.2172/1815350.

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Waddell, Lucas, Frank Muldoon, Stephen Michael Henry, et al. The Capability Portfolio Analysis Tool (CPAT): A Mixed Integer Linear Programming Formulation for Fleet Modernization Analysis (Version 2.0.2). Office of Scientific and Technical Information (OSTI), 2017. http://dx.doi.org/10.2172/1397137.

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Liebchen, Christian. An Integer Programming Model to Assign Train Drivers to Good Positions in Basic Turni. Technische Hochschule Wildau, 2024. http://dx.doi.org/10.15771/1935.

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We are reporting on a project on duty rostering of a train operating company in Germany. There, in the past, rostering took place on a purely individual basis. As the goal of the project, the train drivers should work according to a set of 20 essentially fixed basic turni. These plans took into effect from January 2024 on. In this extended abstract, we are focusing on a specific task that had to be resolved within the transition process. In particular, the fixed turni are intended to repeat periodically, most of them after 17 weeks. In particular, for that one turnus is equipped with train dri

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