Abstract: The main aim of Supply Chain Management (SCM) is
to produce, distribute, logistics and deliver goods and equipment in
right location, right time, right amount to satisfy costumers, with
minimum time and cost waste. So implementing techniques that
reduce project time and cost, and improve productivity and
performance is very important. Emerging technologies such as the
Radio Frequency Identification (RFID) are now making it possible to
automate supply chains in a real time manner and making them more
efficient than the simple supply chain of the past for tracing and
monitoring goods and products and capturing data on movements of
goods and other events. This paper considers concepts, components
and RFID technology characteristics by concentration of warehouse
and inventories management. Additionally, utilization of RFID in the
role of improving information management in supply chain is
discussed. Finally, the facts of installation and this technology-s
results in direction with warehouse and inventory management and
business development will be presented.
Abstract: Focusing on the environmental issues, including the reduction of scrap and consumer residuals, along with the benefiting from the economic value during the life cycle of goods/products leads the companies to have an important competitive approach. The aim of this paper is to present a new mixed nonlinear facility locationallocation model in recycling collection networks by considering multi-echelon, multi-suppliers, multi-collection centers and multifacilities in the recycling network. To make an appropriate decision in reality, demands, returns, capacities, costs and distances, are regarded uncertain in our model. For this purpose, a fuzzy mathematical programming-based possibilistic approach is introduced as a solution methodology from the recent literature to solve the proposed mixed-nonlinear programming model (MNLP). The computational experiments are provided to illustrate the applicability of the designed model in a supply chain environment and to help the decision makers to facilitate their analysis.
Abstract: Nowadays, the plant location selection has a critical
impact on the performance of numerous companies. In this paper, a
methodology is presented to solve this problem. The three decision
making methods, namely Delphi, AHP and improved VIKOR, are
hybridized in order to make the best use of information available
based on the decision makers or experts. In this respect, the aim of
using Delphi is to select the most influential criteria by a few decision
makers. The AHP is utilized to give weights of the selected criteria.
Finally, the improved VIKOR method is applied to rank alternatives.
At the end of paper, an application example demonstrates the
applicability of the proposed methodology.
Abstract: Selection of a project among a set of possible
alternatives is a difficult task that the decision maker (DM) has to
face. In this paper, by using a fuzzy TOPSIS technique we propose a
new method for a project selection problem. After reviewing four
common methods of comparing investment alternatives (net present
value, rate of return, benefit cost analysis and payback period) we
use them as criteria in a TOPSIS technique. First we calculate the
weight of each criterion by a pairwise comparison and then we utilize
the improved TOPSIS assessment for the project selection.