Search
Search Results
-
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...
-
Heuristics for flow shop rescheduling with mixed blocking constraints
In the flow shop rescheduling literature, many papers consider unlimited buffer capacities between successive machines. In real fact, these...
-
Multi-item order quantity optimization through stochastic goal programing
Managing multi-item economic order quantity (MIEOQ) problems within an uncertain business environment is a critical challenge. Decision-makers, with...
-
Pre-auction optimization for the selection of shared customers in the last-mile delivery
Companies are constantly looking for new strategies to improve their logistics performance and ensure their competitiveness in the global market....
-
An integrated operations model for supply of relief items under path disruptions
The integration of relief supply chain operations is critical for the timely supply of relief items to the areas affected by disasters. This work...
-
The Setup Carryover Assignment Problem
In this paper, we introduce the Setup Carryover Assignment Problem (SCAP), which consists of determining the setup carryover plan of multiple items...
-
Optimal selection of third-party logistics providers using integer programming: a case study of a furniture company storage and distribution
This paper investigates the selection of third-party logistics providers (3PLs) based on the best prices offered by them. The focus is on outbound...
-
Maximizing throughput and energy efficiency in 6G based on phone user clustering enabled UAV assisted downlink hybrid multiple access HetNet
The surge in technology is driving demands for real-time interactive applications and high-speed transmissions, necessitating improved network...
-
An exact solution approach for risk-averse mixed-integer multi-stage stochastic programming problems
Risk-averse mixed-integer multi-stage stochastic programming problems are challenging, large scale and non-convex optimization problems. In this...
-
An efficient model-based branch-and-price algorithm for unrelated-parallel machine batching and scheduling problems
This paper presents the problem of batching and scheduling jobs belonging to incompatible job families on unrelated-parallel machines. More...
-
The power of linear programming: some surprising and unexpected LPs
Linear programming has had a tremendous impact in the modeling and solution of a great diversity of applied problems, especially in the efficient...
-
An artificial neural network based mathematical model for a stochastic health care facility location problem
This research is conducted to investigate the problem of locating the trauma centers and helicopters’ station in order to optimize the trauma care...
-
Meta-heuristic algorithm for aircraft pre-tactical conflict resolution with altitude and heading angle change maneuvers
Aircraft conflict resolution is of great importance for the safe and efficient management of air traffic. This study proposes a two-step optimization...
-
Role of Energy Management Systems (EMS) in the Development of Eco Cities: A System Oriented Review Introducing an Agent Perspective
The permeation of electric/hybrid-electric vehicles in the transportation sector will increase the transition of energy demand from fuel supply... -
Modified differential evolution and heuristic algorithms for dump tippler machine allocation in a typical sugar mill in Thailand
This paper focuses on a computational tool for scheduling and sequencing sugarcane vehicles for dump tippler machines at the mill yard of a sugar...
-
An Overview of Operations Research/Management Science in Latin America
This paper presents an analysis of research articles published in the field of Operations Research and Management Science (OR/MS) by Latin American... -
A Bi-objective, Risk-Aversion Optimization Model and Its Application in a Biofuel Supply Chain
This chapter discusses approaches to incorporate risk aversion in supply chain network design. The design of supply chain networks involves multiple... -
Multi-objective multi-model assembly line balancing problem: a quantitative study in engine manufacturing industry
This paper deals with multi-model assembly line balancing problem (MuMALBP). In multi-model assembly lines several products are produced in separate...
-
Differential evolution for cleft lip and/or cleft palate patient treatment scheduling problems: a northern Thailand hospital case study
Cleft lip and/or cleft palate (CL/P) are the common birth defects that result when facial structures develo** in an unborn baby do not close...
-
A branch-and-Benders-cut algorithm for a bi-objective stochastic facility location problem
In many real-world optimization problems, more than one objective plays a role and input parameters are subject to uncertainty. In this paper,...