Thanks to vast improvements in wide-area network performance and powerful yet low-cost computers, Grid computing has emerged as a promising attractive computing paradigm. Computational Grids aim to aggregate the power of heterogeneous, geographically distributed, multiple-domain-spanning computational resources to provide high performance or high-throughput computing. To achieve the promising p...

Flow shop scheduling problem has a wide application in the manufacturing and has attracted much attention in academic fields. From other point, on time delivery of products and services is a major necessity of companies’ todays; early and tardy delivery times will result additional cost such as holding or penalty costs.  In this paper, just-in-time (JIT) flow shop scheduling problem with preemp...

Network design problem is one of the most complicated and yet challenging problems in transportation planning. The Bi-level, non-convex and integer nature of network design problem has made it into one of the most complicated optimization problems. Inclusion of time dimension to the classical network design problem could add to this complexity. In this paper an Ant Colony System (ACS) has been ...

Considering the competition in today’s business environment, tactical planning of a supply chain becomes more complex than before. In many multi-product inventory systems, substitution flexibility can improve profits. This paper aims to prepare a comprehensive substitution inventory model, where an inventory system with two substitute products with ignorable lead time has been considered, and e...

nowadays, it’s very usual to use these models in almost all sciences. use of these models has provided quick, appropriate and economic answers to many questions. modeling is developing in different fields of agriculture, including irrigation and drainage. field tests are useful to determine and analyze the different irrigation management but there are significant limitations. the most important...