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Mathematical programming-based methodology for the evaluation of supply chain collaborative planning scenarios
Nowadays, supply chain (SC) decentralised decision making is the most usual situation in SC operations planning. In this context, different companies...
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A novel combined fuzzy VIKOR and mathematical optimization programming for online advertising effectiveness
Online advertising has become an essential part of corporate competition. It can help businesses win over customers and their attention, shape brand...
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Basic Mathematical Programming Theory
The subject of (static) optimization, also called mathematical programming, is one of the most important and widespread branches of modern...
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Introduction to Mathematical Programming
This chapter presents general information on mathematical programming and introduces the basics of linear algebra and propositional...
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Recent contributions to the optimal design of pipeline networks in the energy industry using mathematical programming
The optimal design of pipeline networks has inspired process systems engineers and operations research practitioners since the earliest times of...
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An application of mathematical programming to a real case of the unrelated parallel machine problem
Mathematical programming techniques are used in a tool developed to solve a real unrelated parallel machine problem in a bottle closures...
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Teaching Mathematical Modelling and Programming with GAMS in Dual Management Master Curricula Using Flipped Classrooms and Open Book Exams
In this article, we present a flipped classroom based teaching concept and related open book exam for Master’s courses in the field of Operational...
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Evaluating change in property tax regime on noncommercial food production using a modified positive mathematical programming model
Since non-commercial users of land may not have the typical goal of profit-maximization as in the case of commercial users—it is important to...
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Mathematical Programming Models and Exact Algorithms
This chapter focusses on exact solution approaches for QUBO. We first discuss various mixed integer linear programming formulations, compare their...
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Decomposition methods for multi-horizon stochastic programming
Multi-horizon stochastic programming includes short-term and long-term uncertainty in investment planning problems more efficiently than traditional...
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Mathematical modelling of purchasing optimization for an MRP system with containerization constraints
Standard material requirement planning (MRP) systems do not include the purchasing decisions associated with business rules and containerisation...
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Mathematical programming formulations for the alternating current optimal power flow problem
Power flow refers to the injection of power on the lines of an electrical grid, so that all the injections at the nodes form a consistent flow within...
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FSOCP: feature selection via second-order cone programming
Feature selection is an important factor of accurately classifying high dimensional data sets by identifying relevant features and improving...
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Operating room scheduling with surgical team: a new approach with constraint programming and goal programming
In recent years, there has been a significant increase in health expenditures due to population growth. In this context, hospital administrators have...
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A mathematical programming approach for equitable COVID-19 vaccine distribution in develo** countries
Develo** countries scramble to contain and mitigate the spread of coronavirus disease 2019 (COVID-19), and world leaders demand equitable...
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Linear Programming Fundamentals
SIMUS is explained in Chap. 7 , and it is the method used in this book to illustrate how most of the...
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Introduction to Modelling in Mathematical Programming
This chapter provides an overview of the concept of model in mathematical programming. The classical components of a mathematical programming model...
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Modified goal programming approach for solving multi-objective environmental management problem
Although goal programming is one of the most used techniques for modeling and solving multi-objective optimization problems due to modeling elegance...
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A Novel Approach to Solve Multi-objective Fuzzy Stochastic Bilevel Programming Using Genetic Algorithm
A bilevel programming is a two-level optimization problem, namely, the upper level (leaders) and the lower level (followers). The two level’s...
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Dynamic Programming
Dynamic Programming, or dynamic optimization, is an optimization approach that simplifies complex problems by breaking them into smaller,...