The aim of this paper is to develop an approach based on fuzzy-sets to handle the uncertainty of nuclear power costs. The underlying aim is to appraise the economic advantages of nuclear power compared with other traditional energy sources, namely coal and natural gas. Having illustrated the general state of the art of nuclear power in terms of production, installed power and economics, a more ...

This study develops an EPQ model for deteriorating items assuming time and stock dependent demand and time varying holding cost under the effect of inflation in fuzzy environment. Shortages are allowed and partially backlogged. In finding the optimal production quantity, deterioration plays a crucial role in inventory management. Therefore handling of deterioration is in highlight and attracted...

This paper presents a multiobjective fuzzy genetic algorithm optimization approach to design the submersible induction motor with two objective functions: the full load torque and the manufacturing cost. A multiobjective fuzzy optimization problem is formulated and solved using a genetic algorithm. The optimally designed motor is compared with an industrial motor having the same ratings. The re...

In this paper we propose an adaptive routing algorithm in which the link cost are dynamically assigned using a fuzzy system. The traffic in the network is re-routed to nodes, which are less congested, or have spare capacity. Based on a set of fuzzy rules, link cost is dynamically assigned depending upon the present condition of the network. Distance vector algorithm, which is one of the shortes...

Supply chain management is concerned with the coordination of material and information flows in multi-stage production systems. Inventory management has long been treated as an isolated function solely focused on individual entities, taking into account concerned with single-vendor-single-buyer and single-vendormultiple-buyer-models. Concerning the supplier selection problem, quantitative model...

In this research work, a wholesaler-retailer-customer supply chain model for a deteriorating item is considered, where the retailer's warehouse in the market place has a limited capacity. The retailer can rent an additional warehouse (rented warehouse) if needed, with a higher rent compared to the existing warehouse (own warehouse). The customers' demand of the item is linearly influenced by th...

The correlated demand caused by cross-selling, Zhang et al (2011) proposed a two-item EOQ model, where the unmet demand for the major item can be partially backordered with lost sales that will reduce demand for the minor item. They developed an enumeration algorithm that can deal with only one minor associated item. Zhang et al (2011) proposed the partial backordering EOQ with correlated deman...

The emerging of the e-Commerce provides more and more businesses opportunities to vendors and manufacturers. However, the expeditious evolution of e-Commerce has also caused challenging security issues. To protect vendors and consumers from being victimized, various trust models have been used in e-Commerce practices. Nevertheless, a strict verification and authentication process may pose unnec...

Until now single values of IRR are traditionally used to estimate the time value of cash flows. Since uncertainty exists in estimating cost data, the resulting decision may not be reliable. The most commonly cited drawbacks to using the internal rate of return in evaluatton of deterministic cash flow streams is the possibility of multiple conflicting internal rates of return. In this paper we p...