in this paper, we investigate a decision support system (dss) for the resolution of real-life vehicle routing and scheduling problem (vrsp). scheduling the deliveries from a regional distribution centre (rdc) to large stores of a major fmcg retailer includes every possible vehicle routing complexity. usual constraints that are seen are: size of the vehicle and the length of the driving day, loa...

competition between the managers of industrial and service organizations to provide their financial needs and credit facilities via the bank's loan is growing daily. other hand, financial resources and credit of banks and financial institutions to provide accommodations to applicants is limit. accordingly the optimal allocation of limit financial resources with the aim of making the maximu...

addressing environmental management problems at catchment scales requires an integrated modelling approach, in which key bio-physical and socio-economic drivers, processes and impacts are all considered. development of decision support systems (dsss) for environmental management is rapidly progressing. this paper describes the integration of physical, ecological, and socio-economic components i...

university course timetabling problem is a serious challenge for the academic managers in each semester. because of a vast number of constraints and the complexity of relationship among the constraints, the problem is known to be of hard class. in this paper, a decision support system is proposed to assist the decision makers in solving the university course timetabling. the proposed system pro...

Ooms et al sets out some good general principles for a global social support system to improve fairer global competitiveness as a result of redistribution. This commentary sets out to summarize some of the conditions that would need to be satisfied for it to level up gradients in inequality through such a social support system, using the National Basketball Association (NBA) example as a point ...

background: today, despite the many advances in early detection of diseases, cancer patients have a poor prognosis and the survival rates in them are low. recently, microarray technologies have been used for gathering thousands data about the gene expression level of cancer cells. these types of data are the main indicators in survival prediction of cancer. this study highlights the improvement...