Strategic programming, Complex supply chain, Lean, Production programming, Suppliers selection,   ELECTRE This paper represents a model of strategic programming with limited resources in a complex supply chain. The main goal of the proposed model is to increase efficiency and effectiveness of the supply chain with respect to income increases and cost decreases. Using special objective funct...

One of major considerations in an online business is customer privacy. Consumers are not interested in being monitored and identified by sellers. Some solutions are proposed to hide selection of the customer but in the payment phase, there will be a leakage of information as online shopper can infer some information about customer’s preference due to the price, which is paid by customer. This i...

N P-hard problem as a total distance minimization problem. Natural extension of the notorious traveling salesperson problem (TSP) with… Delivery vehicles (homogeneous or heterogeneous fleet) have a limited capacity. One or more nodes in the graph (single depot vs. multi-depots) are designated as origins of routes. Each route should emanate from such an origin node. The rest of the nodes are ide...

In an increasingly competitive marketplace, one of the most interesting and challenging problems is how to identify and profile customers who are most likely to be interested in new products or services. At the same time, minimizing the number of variables used in the prediction task is important with large databases. In this paper we consider a novel application of evolutionary multiobjective ...

ig data analytics is increasingly replacing or complementing classical data collection methods like surveys. Business intelligence tools and systems now play a key role in decision-making and find applications in the areas such as customer profiling, customer support, market research, segmentation, brand monitoring. Transforming unstructured text data for structured quantitative analysis is an ...

At other times the customer has a specific demand for a product of a certain type X. Thus, there should exist a specific EM for products of the type X. Economic reasons advocate for the presence of all offers, allowing an optimal selection (i.e. coming close to the aggregate supply of the neo-classical market mode). This goal may be softened thought, if the number of offers becomes too large, t...

A new methodology, for optimal customer selection in cross-selling of financial services products, such as mortgage loans and non life insurance contracts, is presented. The optimal cross-sales selection of prospects is such that the expected profit is maximized, while at the same time the risk of suffering future losses is minimized. Expected profit maximization and mean-variance optimization ...

CRM has been realized as a core for the growth of any enterprise. This requires both the customer satisfaction and fulfillment of customer requirement, which can only be achieved by analyzing consumer behaviors. The data mining has become an effective tool since often the organizations have large databases of information on customers. However, the traditional data mining techniques have no rele...

The automotive industry is in the strongest competition ever, as this sector gets disrupted by new arising competitors. Providing services to maximum customer satisfaction will be one of the most crucial competitive advantages in the future. Around 1 Terabyte of objective data is created every hour today. This volume will significantly grow in the future by the increasing number of connected se...

In today’s businesses, service-oriented architectures represent the main paradigm for IT infrastructures. Indeed, the emergence of Internet made it possible to set up an exploitable environment to distribute applications on a large scale, and this, by adapting the notion of “service”. With the integration of this paradigm in Business to Business Domain (B2B), the number of web services becomes ...