Search
Search Results
-
Development of a Heuristic Based Mixed Integer Linear Programming Model for Resources Allocation During Cyberfraud Mitigation
In this digital era, cyberfraud remains one of the major challenges faced by individuals and financial institutions. Lack of suitable decision...
-
Mixed integer linear programming formulation for K-means clustering problem
The minimum sum-of-squares clusering is the most widely used clustering method. The minimum sum-of-squares clustering is usually solved by the...
-
New Ways in Municipal Flood Mitigation: a Mixed-Integer Programming Approach and its Practical Application
Adapting to the consequences of climate change is one of the central challenges faced by humanity in the next decades. One of these consequences are...
-
A mixed-integer programming approach for solving university course timetabling problems
This article presents a mixed-integer programming model for solving the university timetabling problem which considers the allocation of students to...
-
PaMILO: A Solver for Multi-objective Mixed Integer Linear Optimization and Beyond
In multi-objective optimization, several potentially conflicting objective functions need to be optimized. Instead of one optimal solution, we look...
-
An assembly timing planning method based on knowledge and mixed integer linear programming
Assembly timing planning, which aims to solve the assembly action sequence and assembly part sequence with the shortest assembly time as the goal, is...
-
A mixed integer linear programming model to support e-fulfillment strategies in warehouse-based supermarket chains
The use of the online channel has greatly increased the logistics costs of supermarket chains. Even the difficulty of managing order picking and...
-
A new mixed-integer programming formulation for the maximally diverse grou** problem with attribute values
The paper presents a new mixed-integer programming formulation for the maximally diverse grou** problem (MDGP) with attribute values. The MDGP is...
-
Simultaneous sensitivity analysis of mixed-integer location-allocation models using machine learning tools: cancer hospitals’ network design
Uncertainty analysis is an inevitable attribute of location-allocation problems due to unforecastable parameter changes. Although the simultaneous...
-
Mixed-Integer Linear Programming Formulations for the Inbound Container Remarshaling Problem in an Automated Container Terminal
In this paper, we study the inbound container remarshaling problem in an automated container terminal, which jointly optimizes the allocation of...
-
A Mixed-Integer Formulation for the Simultaneous Input Selection and Outlier Filtering in Soft Sensor Training
Soft sensors are used to calculate the real-time values of process variables which can be measured in the laboratory only or require expensive online...
-
Joint optimisation of drone routing and battery wear for sustainable supply chain development: a mixed-integer programming model based on blockchain-enabled fleet sharing
Alongside the rise of ‘last-mile’ delivery in contemporary urban logistics, drones have demonstrate commercial potential, given their outstanding...
-
A Proposal of Web Application for the Study and Resolution of the Job Shop Problem with Makespan Minimization Via Mixed Integer Linear Programming
This study proposes software that allows the user to solve the Job Shop Scheduling Problem (JSSP) with makespan minimization to support the teaching...
-
A flexible mixed integer programming-based system for real-world nurse rostering
Researchers have studied the nurse rostering problem for multiple decades. Initially, the formulations were rather primitive including only a few...
-
A robust stochastic possibilistic programming model for dynamic supply chain network design with pricing and technology selection decisions
This work considers a multi-period multi-echelon multi-product dynamic supply chain network design problem for both strategic and tactical decisions....
-
A heuristic method to find a quick feasible solution based on the ratio programming
The feasibility pump is a successful rounding-based heuristic to find a feasible solution to mixed-integer programming (MIP) problems. This paper...
-
On credibilistic multi-objective linear programming problems with generalized intuitionistic fuzzy parameters
This paper first considers an approach based on credibilistic chance constraints and expected values for solving multiple objective linear...
-
Multi-resource allocation and care sequence assignment in patient management: a stochastic programming approach
To mitigate outpatient care delivery inefficiencies induced by resource shortages and demand heterogeneity, this paper focuses on the problem of...
-
Tactical waste collection: column generation and mixed integer programming based heuristics
Environmental considerations and corresponding legislation cause a shift from waste management to materials management, requiring efficient...
-
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...
