Vaz, Clara B.; Camanho, Ana; Guimarães, Rui
This paper describes a method for the assessment of retail store performance
based on Data Envelopment Analysis (DEA). The assessment considers the stores
as complex organizations that aggregate several subunits, corresponding to sections
with management autonomy. This structure motivated an analysis at two different
levels: the section level and the store level. The performance assessment of the
sections envolves a comparison among similar sections located in different stores,
and evaluates efficiency spread. This is followed by an analysis at the store level to
define targets for the sections. This analysis takes into account the interdependencies
of the sections composing a store, as they share limited resources such as...
Geraldes, Carla A. S.; Carvalho, Maria do Sameiro; Pereira, Guilherme
Today’s competitive and volatile market requires flexibility, quality and efficiency from the logistics operations. In this context, warehouses are an important link of the logistic chain and warehouse management plays an important role over customer's service. Throughout this work we analyze a mathematical model aiming to support warehouse management decisions. A case study is used for that purpose and the model jointly identifies product allocation to the functional areas in the warehouse, as well as the size of each area. This case study also evaluates the performance of the model when real data is used. Model is solved using LINGO...
Geraldes, Carla A. S.; Carvalho, Sameiro; Pereira, Guilherme
An important warehouse operation decision concerns the definition of a storage location policy, including the definition of functional areas and the identification of each stock item location in the warehouse. Empirical approaches are often used. However, they do not guarantee that the lowest cost materials-handling solution is achieved. This paper presents a clustering approach to address the assignment of stock items to particular warehouse functional areas. A linear programming model is adapted to a case study and its performance is assessed through the use of real data. Model is solved using LINGO 9.0 mixed integer commercial solver. The output of...
Camanho, Ana; Portela, Maria; Vaz, Clara B.
This paper develops a method based on data envelopment analysis (DEA) for efficiency assessments
taking into account the effect of non-discretionary factors.
A typology that classifies the non-discretionary factors into two groups is proposed: the factors that
characterize the external conditions where the decision making units (DMUs) operate (external factors),
and the factors that are internal to the production process but cannot be controlled by the decision
makers (internal factors).
This paper proposes an enhanced DEA model that accommodates non-discretionary inputs and outputs
and treats them differently depending on their classification as internal or external to the production
process. This generalized model integrates the previous approaches for dealing...