This paper proposes a novel framework to support the generation of strategies for multi-criteria long-term improvement. It can be applied general preference models but it is illustrated in this article on Multi-Attribute Value Theory model. The contributions literature are twofold. Firstly, addresses issue resistance change that may arise during implementation strategy. constrains step improvem...

In this paper, we present an integrated version of the Ng model and Zhou and Fan model [W. L. Ng,A simple classifier for multiple criteria ABC analysis, European Journal of Operation Research, 177(2007) 344-353; P. Zhou & L. Fan, A note on multi-criteria ABC inventory classification usingweighted linear optimization, European Journal of Operation Research, 182 (2007) 1488-1491]. Themodel that N...

this paper addresses a multi-criteria decision based methodology to develop a road network cost function for route finding analysis in a geographic information system (gis). over the years, several studies relating to route planning process in gis and intelligent transportation systems (its) have been conducted, most of which rely on the use of one-dimensional variables like distance or time as...

When evaluating power system expansion scenarios there is a need to take into consideration range of measurable and non-measurable impacts. Measurable impacts are fixed variable production costs and, recently, external costs. Nonmeasurable include public attitude certain energy technology investor's risk in achieving the expected profit. Public has large, sometimes essential impact on decision-...

Material selection is a main purpose in design process and plays an important role in desired performance of the products for diverse engineering applications. In order to solve material selection problem, multi criteria decision making (MCDM) methods can be used as an applicable tool. Bumper beam is one of the most important components of bumper system in absorbing energy. Therefore, selecting...

one of important problems in supply chains management is supplier selection. in a company, there are massive data from various departments so that extracting knowledge from the company’s data is too complicated. many researchers have solved this problem by some methods like fuzzy set theory, goal programming, multi objective programming, the liner programming, mixed integer programming, analyti...