This paper presents the architecture of a multi-agent decision support system for Supply Chain Management (SCM) which has been designed to compete in the TAC SCM game. The behaviour of the system is demand-driven and the agents plan, predict, and react dynamically to changes in the market. The main strength of the system lies in the ability of the Demand agent to predict customer winning bid pr...

While economic and service level indicators were adequate to show the performance of supply chains (SCs) in the past, nowadays, environment indicators are gradually becoming more relevant (Beamon, 1999). Many prominent companies and academic research groups around the world are making efforts to provide environmentally responsible products and services. These topics are subjects of intensive st...

Modern manufacturing is moving away from vertically integrated companies that control all aspects of production and distribution, toward networks of independent suppliers and distributors. These supply networks (more commonly called “supply chains”) address a number of business needs, including concentration on core competencies and the ability to respond rapidly to unanticipated change. Howeve...

1 Regulates High Glucose-induced Mesangial Cell Hypertrophy 2 3 Falguni Das, Nandini Ghosh-Choudhury, Meenalakshmi M. Mariappan, Balakuntalam S. 4 Kasinath and Goutam Ghosh Choudhury 5 6 VA Research and Geriatric Research, Education and Clinical Research, South Texas Veterans 7 Health Care System, San Antonio, Texas and Departments of Medicine and Pathology, 8 University of Texas Health Science...

Excessively high levels of post-harvest loss often are a feature agricultural systems dominated by small-holder farmers. However, this situation is something paradox, as technologies exist that have been shown in field demonstrations to substantially reduce loss. What explains paradox? Building on insights derived from the Rockefeller Foundation’s YieldWise Initiative, article proposes while re...

The logistics sector faces substantial challenges in meeting customer demands for higher service quality, speed and flexibility under conditions of continued growth in world trade and worldwide transportation movements, increasing distances and vulnerabilities of the supply chain. Additional challenges relate to the economic and environmental sustainability of logistics operations. While a lot ...

A data-driven approach for minimization of the energy to air condition a typical office-type facility is presented. Eight data-mining algorithms are applied to model the nonlinear relationship among energy consumption, control settings (supply air temperature and supply air static pressure), and a set of uncontrollable parameters. The multiple-linear perceptron (MLP) ensemble outperforms other ...

The Vector Perturbation Approach is introduced for addressing the generalized parts grouping problem, identifying part families for a general set of suppliers, not just a single supplier. This method is driven by the need for flexible and lean supply chain systems. A vector space model is used to represent a set of operation sequences as opposed to the traditional matrix and integer programming...