First, a theoretical model for minimizing the total power demand of the vehicle is developed.
In this study, we develop a fuzzy bilevel programming model for minimizing the total expected transportation risk when delivering products of hazardous materials to customers from multiple depots.
The key is to optimize the topology of base cell model for minimizing the difference between the effective and target transport properties.
We design a physical-technological conceptual model for minimizing waste in agro-industries, with a case study of frozen shrimp production.
In this research, a multi-objective optimization model of integrated product family and closed loop supply chain design is formulated based on a cooperative game model for minimizing manufacturer's total cost and maximize suppliers' total payoffs.
We formulated an airline network design model for minimizing airline operating costs, to determine optimal air routes and flight frequencies, as well as types of aircraft, in response to airport noise charges.
We propose a mixed integer programming (MIP) model for minimizing train arrival time differences and the number of missed trains, i.e., the number of trains without transfers within a reasonable time at interchange stations as an alternative to minimize passenger transfer waiting times.
The tolerance chart balancing was mathematically modeled for minimizing the manufacturing cost and quality loss (Jeang 2011).
Chu [58] developed an optimization model for minimizing overall costs by constricting response time and capacity with fixed number of copies of each file fragment.
Ando and Taniguchi [28] presents a model for minimizing the total costs incorporating the uncertainty of link travel times with the early arrival and delay penalty at customers who set up designated time windows.
