ADOPTING LEED CERTIFICATION IN LODGING FACILITIES: GREENING THE HOSPITALITY INDUSTRY

The research intended to analyze the adoption process of the green certification "Leadership in Energy and Environmental Design" (LEED) from the hotel sector establishments that has already adopted it. For its concretization it was proceeded a bibliographical research, secondary fact-gathering in journals, institutional sites and documentaries, and primary fact-gathering by means of semi structured interviews carried out with responsible people of the certified hotels and of the responsible entity of the certification in Brazil (Green Building Council Brazil). There were 21 interviewee, being 02 of the GBC Brazil and 19 of means of lodging (31% of the certified). For data analysis, it was utilized content analysis technique with the aid of ATLAS.ti software. The results permitted to identify the chronology of the processes of certification and the profile of the hotel categories that adopt the LEED program. Beyond that, the interviews enabled the discussion of the initial motivations for seeking the certification, as well the advantages and the obstacles perceived regarding its adoption.

Integrating on-line process control and imperfect corrective maintenance: An economical design

Existing studies of on-line process control are concerned with economic aspects, and the parameters of the processes are optimized with respect to the average cost per item produced. However, an equally important dimension is the adoption of an efficient maintenance policy. In most cases, only the frequency of the corrective adjustment is evaluated because it is assumed that the equipment becomes "as good as new" after corrective maintenance. For this condition to be met, a sophisticated and detailed corrective adjustment system needs to be employed. The aim of this paper is to propose an integrated economic model incorporating the following two dimensions: on-line process control and a corrective maintenance program. Both performances are objects of an average cost per item minimization. Adjustments are based on the location of the measurement of a quality characteristic of interest in a three decision zone. Numerical examples are illustrated in the proposal. (c) 2012 Elsevier B.V. All rights reserved.