Vendor and Logistics Provider Selection in the Construction Sector: A Probabilistic Preferences Composition Approach

Abstract

ABSTRACT.The main purpose of the present work is to present an application of the probabilistic preferences composition method to the vendor and carrier selection process in the construction sector of the Southern Region of Rio de Janeiro state, in Brazil. The traditional measures associated with vendor and carrier evaluation are considered in the model and are combined through a preferences composition, which considers the options' uncertainties. In the application, we considered three different suppliers of sand for construction and three different logistics providers, two of them outsourced. Our intention was to verify if outsourcing can be considered a better solution, as proposed by many authors. The results show that outsourcing is the best option for different probabilistic composition points of view as well as when the overall evaluation is obtained by average composition.

Prioritizing Barriers to Be Solved to the Implementation of Reverse Logistics of E-Waste in Brazil under a Multicriteria Decision Aid Approach

“…In the first moment, an ordering of the set of options is established through the determination of preferences according to the type of criteria. After determining this ranking, the maximum (Mij) and/or minimum (mij) probabilities of each option (alternative) i must be calculated in relation to the others, combining the preferences obtained for each criterion j [60]. To obtain the probability of an option i being the best (Mij) or being the worst (mik), according to each criterion j, one must assume statistical independence to simplify the calculation of the joint probabilities by the product of the marginal functions of probability, according to the following equations.…”

“…Regarding the first aspect, depending on the approach considered, different joint probabilities can be used. In this sense, such approaches can be divided in terms of the choice between positions among two basic orientations, optimistic versus pessimistic and progressive versus conservative, as shown in Table 2 [60].…”

“…With regard to the second aspect, by combining the positions at the extremes of these two orientations, four different measures are generated [60]:…”

How to Assess Reverse Logistics of e-Waste Considering a Multicriteria Perspective? A Model Proposition

“…After determining this ranking, the maximum (Mij) and/or minimum (mij) probabilities of each option (alternative) i must be calculated with concern to the others, combining the preferences obtained for each criterion j. [35].…”

“…Then, depending on the approach considered, different joint probabilities can be used. In this sense, such approaches can be discriminated in terms of the choice between positions among two basic orientations, optimistic versus pessimistic and progressive versus conservative, as shown in Table 11 [35]. Table 11.…”