			Home About us Contact

Dynamic Demands (dynamic + demand)

Distribution by Scientific Domains

Business, Economics, Finance and Accounting	75%

Selected Abstracts

Coordinated Capacitated Lot-Sizing Problem with Dynamic Demand: A Lagrangian Heuristic

DECISION SCIENCES, Issue 1 2004
E. Powell Robinson Jr.
ABSTRACT Coordinated replenishment problems are common in manufacturing and distribution when a family of items shares a common production line, supplier, or a mode of transportation. In these situations the coordination of shared, and often limited, resources across items is economically attractive. This paper describes a mixed-integer programming formulation and Lagrangian relaxation solution procedure for the single-family coordinated capacitated lot-sizing problem with dynamic demand. The problem extends both the multi-item capacitated dynamic demand lot-sizing problem and the uncapacitated coordinated dynamic demand lot-sizing problem. We provide the results of computational experiments investigating the mathematical properties of the formulation and the performance of the Lagrangian procedures. The results indicate the superiority of the dual-based heuristic over linear programming-based approaches to the problem. The quality of the Lagrangian heuristic solution improved in most instances with increases in problem size. Heuristic solutions averaged 2.52% above optimal. The procedures were applied to an industry test problem yielding a 22.5% reduction in total costs. [source]

Using the moving average rule in a dynamic web recommendation system

INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, Issue 6 2007
Yi-Jen Su
In this, the Information Age, most people are accustomed to gleaning information from the World Wide Web. To survive and prosper, a Web site has to constantly enliven its content while providing various and extensive information services to attract users. The Web Recommendation System, a personalized information filter, prompts users to visit a Web site and browse at a deeper level. In general, most of the recommendation systems use large browsing logs to identify and predict users' surfing habits. The process of pattern discovery is time-consuming, and the result is static. Such systems do not satisfy the end users' goal-oriented and dynamic demands. Accordingly, a pressing need for an adaptive recommendation system comes into play. This article proposes a novel Web recommendation system framework, based on the Moving Average Rule, which can respond to new navigation trends and dynamically adapts recommendations for users with suitable suggestions through hyperlinks. The framework provides Web site administrators with various methods to generate recommendations. It also responds to new Web trends, including Web pages that have been updated but have not yet been integrated into regular browsing patterns. Ultimately, this research enables Web sites with dynamic intelligence to effectively tailor users' needs. © 2007 Wiley Periodicals, Inc. Int J Int Syst 22: 621,639, 2007. [source]

Whistleblowing and media logic: a case study

BUSINESS ETHICS: A EUROPEAN REVIEW, Issue 2 2003
Robert van Es
Most analyses of whistleblowing are concerned with the whistleblower as an actor or with the act of whistleblowing itself. However, as soon as the whistleblower enters the public arena, a social dynamic emerges of interdependent actors with different responsibilities and different interests. Such a dynamic demands a more comprehensive approach in which the motives of the different actors in the public debate are taken into account. This approach is developed here using an exemplary case of whistleblowing that took place in a Dutch research institute. The intensive media attention damaged both the institute and the whistleblower. In retrospect this could have been avoided. In our analysis we give extra attention to the motives involved and to the inevitability of media logic. In order to avoid unnecessary damage we recommend guidelines to the three basic actors:the whistleblower, the organization and the media. [source]