Non-uniform distribution of customers in a region and variation of their maximum willingness to pay at distinct areas make regional pricing a practical method to maximize the profit of the distribution system. By subtracting the classic objective function, which minimizes operational costs from revenue function, profit maximization is aimed. A distribution network is designed by determining the...

• A new supply chain concept based on the idea of mobile (moveable) factory. mathematical model for chains. Matching batching, production, and factory routing activities. multi-objective approach a multi-agent problem. Many chains suffer from lack flexibility, adaptability, robustness, which imposes customer dissatisfaction, transportation, backlog, rework costs companies. The (MSC) is newly de...

A new multi-objective intermodal hub-location-allocation problem is modeled in this paper in which both the origin and the destination hub facilities are modeled as an M/M/m queuing system. The problem is being formulated as a constrained bi-objective optimization model to minimize the total costs as well as minimizing the total system time. A small-size problem is solved on the GAMS software t...

In the present paper a bi-objective integer linear programming problem (BILP) is discussed. The main effort in this work to effectively implement ?-constraint method produce complete set of non dominated points. convergence algorithm has been established theoretically. Further comparative study some existing also made.

The refugee crisis is one of the major challenges modern society. influxes refugees are usually sudden and in sheer need services such as health care, education safety. Planning public under an imminent humanitarian requires simultaneous strategic operational decisions. Inspired by a real-world problem that Red Crescent facing Southeast Turkey, we study locating camps planning transportation se...

One of the most important points in a supply chain is customer-driven modeling, which reduces the bullwhip effect in the supply chain, as well as the costs of investment on the inventory and efficient transshipment of the products. Their homogeneity is reflected in the inventory-routing problem, which is a combination of distribution and inventory management. This paper considers a multi object...

The paper focuses on a capacitated vehicle routing problem with two objectives: one is attainment of specific load factor and the other is minimization of total travel cost. Our approach is based on artificial fish swarm algorithm, a swarm-based heuristic, which mimics the foraging behaviour of a fish swarm. After initializing a school of artificial fish, whose validity is guaranteed by a desig...

Eliciting preferences of a decision maker is a key factor to successfully combine search and decision making in an interactive method. Therefore, the progressively integration and simulation of the decision maker is a main concern in an application. We contribute in this direction by proposing an interactive method based on a reference point-based guided local search to the bi-objective Invento...

The article presents a proposed customized genetic algorithm (CGA) to find the Pareto frontier for bi-objective integer linear programming (ILP) model of routing in dynamic network, where number nodes and edge weights vary over time. Utilizing hybrid method, CGA combines with (DP); it is fast alternative an ILP solver finding efficient solutions, particularly large dimensions. A non-dominated s...