From the past, honey has been known as a healthy product for human life. Iran has a suitable climate for beekeeping and is among the high-ranked countries in honey production. However, due to failure to comply with quality issues, export of honey from Iran is associated with many problems. According to this issue, this paper presents a robust possibilistic optimization network design model for ...

This paper considers a two stages pharmaceutical supply chain (PSC) consisting of a pharmaceutical manufacturer (pharma-manufacturer) that supplies one type of pharmaceutical product to a pharma-retailer. The customer demand rate for the pharmaceutical product is dependent on the pharma-retailer’s current-inventory level. The pharma-retailer determines the order quantity ( ) value as decision v...

the aim of this paper is to present the prediction model of the transport energy demand in iran. markov chain grey model (mcgm) is proposed to forecast the transport energy demand of iran. then it is compared with grey model (gm) and regression model. moreover, the mcgm forecasting model is used to forecast the annual gasoline demand of iran up to the year 1400. the aim of this paper is to pres...

A simulation-based optimization framework involving simultaneous perturbation stochastic approximation (SPSA) is presented as a means for optimally specifying parameters of internal model control (IMC) and model predictive control (MPC)-based decision policies for inventory management in supply chains under conditions involving supply and demand uncertainty. The effective use of the SPSA techni...

Neural network technology has been successfully applied in many business areas. This paper systematic summarizes the applications of neural network technology in supply chain management, which include three areas: optimization , forecasting and decision support. Then, the BP neural network is used to forecast the demand of bicycle in a certain region, the forecasting result demonstrates that BP...

We develop an integrated/hybrid optimization model for configuring new products’ supply chains while explicitly considering the impact of demand dynamics during new products’ diffusion. The hybrid model simultaneously determines optimal production/sales plan and supply chain configuration. The production and sales plan provides decisions on the optimal timing to launch a new product, as well as...

In this paper we present a mathematical model to optimize the average download time in a Peer-to-peer Video on Demand system, where a set of resources are available in the cloud to assist the service. First, we propose a simple optimization model based on a Markov chain. Then, we provide some numerical results based on simulations and optimizations using a GRASP method on a real scenario.

Market demand of the  perishable bakery  products are volatile. Hence, demand of such items are random variable. The most appealing demand distribution of such items is lognormal demand distribution. Using historical data, the parameters of lognormal distribution are obtained. But, there is a problem of overestimation or underestimation of the parameters. Fuzzy triangular numbers are used to ov...

time for business enterprise software in general, and software for optimized supply-chain planning in particular. The spread of enterprise resource-planning software, warehouse-management systems, factory-planning systems, and other enterprise applications, had the side effect of moving online much of the raw data needed to optimize supply chains. Furthermore, the pace of business change, incre...