These days, clothing companies are becoming more and developed around the world. Due to rapid development of these companies, designing an efficient supply chain network can be highly beneficial, especially with remarkable increase in demand uncertainties both demand. In this study, a bi-objective stochastic mixed-integer linear programming model is proposed for industry. The first objective fu...

We study leadtime pricing in a B2B context where a firm provides guaranteed due-date delivery service to customers that are heterogeneous in their valuation of the products and preference in delivery time. We consider two types of customers based on their delivery preference: one that prefers just-in-time (JIT) delivery and another that prefers responsive delivery. Each type of customer has var...

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...

 In recent years, mobile networks have faced with the increase of traffic demand. By emerging mobile applications and cloud computing, Mobile Cloud Computing (MCC) has been introduced. In this research, we focus on the 4th and 5th generation of mobile networks. Data Centers (DCs) are connected to each other by high-speed links in order to minimize delay and energy consumption. By considering a ...

wheat production with the least use of chemical inputs is an important goal of modern farming to decrease of negative effects of the use of chemical inputs. this paper has estimated the virtual profit of organic wheat in transition period using a cross sectional data of 453 wheat producers of khorasan razavi province during 2007. a model introduced to this objective so that it has ability of es...

An unconstrained nonlinear binary optimization problem of selecting a maximum expected value subset of items is considered. Each item is associated with a profit and probability. Each of the items succeeds or fails independently with the given probabilities, and the profit is obtained in the event that all selected items succeed. The objective is to select a subset that maximizes the total valu...

Cross-docking is a logistic concept, which plays an important role in supply chain management by decreasing inventory holding, order packing, transportation costs and delivery time. Paying attention to these concerns, and importance of the congestion in cross docks, we present a mixed-integer model to optimize the location and design of cross docks at the same time to minimize the total transpo...

The problem of maximizing the benefit from a specified number of a particular product with respect to the behavior of customer choices is regarded as revenue management. This managerial technique was first adopted by the airline industries before being widely used by many others such as hotel industries. The scope of this research is mainly focused on hotel revenue management, regarding which a...

This paper proposes a comprehensive, multi-objective, mixed-integer, nonlinear programming (MINLP) model for a cell formation problem (CFP) under fuzzy and dynamic conditions aiming at: (1) minimizing the total cost which consists of the costs of intercellular movements and subcontracting parts as well as the cost of purchasing, operation, maintenance and reconfiguration of machines, (2) maximi...