Value generation of remanufactured products: multi-case study of third-party companies

Abstract

The importance of reverse logistics has increased owing to environmental factors and recent legislations. In this context, the market for remanufactured goods has become attractive. Manufacturers, retailers, and third-party companies have improved return programs and operations that add value to the return chain for electronic appliances, rather than treating it as a secondary process. The objective of this study is to identify the variables related to value generation in the reverse logistics of electronic products from the perspective of third-party companies. Reverse logistics of electronic products depends much on the context and local regulations; in addition, the fact that there are few studies on developing countries points to an important gap in extant research. This study presents the influence of quality and warranties, processing time, and partnerships between third-party companies, manufacturers, and retailers on the value generation from remanufactured products. These variables are related to optimal results and optimistic expectations for growth among third-party companies. These internal factors, together with an analysis of external factors and product portfolios, complement the scenario description for the cases studied. The main contribution of this study is to highlight the major factors, which are presented in the framework. The lessons learned can be used in other contexts involving third-party companies.

Circular Economy in the WEEE industry: a systematic literature review and a research agenda

“…Remanufacture emerged as a crucial CE strategy to recover parts and components from discarded WEEE (Berssaneti et al, 2019;Sundin and Bras, 2005). In the WEEE literature, remanufacture is described as a sequence of five main steps: disassembly, cleaning, inspection and sorting, reconditioning and reassembly (Lieder et al, 2018).…”

Effects of Air Pollution on Human Health and Costs: Current Situation in São Paulo, Brazil

“…The variables of choice were the individual emissions of each pollutant and the number of hospitalization cases for respiratory diseases. The results were interpreted according to the correlations obtained between the variables as follows: Because the coefficient was determined from the linear fit, the formula contains no fit information, i.e., it is composed only of the data [37,40,42]. The following proposition was verified: the PM 2.5 , PM 10 , O 3 , NO 2 , SO 2 , and CO emitted by several air sources in São Paulo contribute to the increased costs and number of hospitalizations for respiratory diseases.…”

Clean Production of Biofuel from Waste Cooking Oil to Reduce Emissions, Fuel Cost, and Respiratory Disease Hospitalizations

“…In this study, a survey was conducted from 2016 to 2018, and waste cooking oil was collected from the surveyed restaurants and residences in São Paulo city. A number of questionnaires were distributed in different regions of São Paulo city, according to the population and restaurant distributions [7,22,[54][55][56]. Restaurant managers and residents were interviewed using a previously standardized and validated questionnaire.…”

“…The profile of the household interviewees was 58.40% female, 40.85% male, and 0.75% others; of these, 20.20% graduated college, 68.63% graduated high school, 8.87% only graduated elementary school, and the others did not report their education lever or were not literate. Despite the diversity of household respondents, all interviewed restaurant managers graduated college [54][55][56]59,60].…”

“…Thus, 9191.2 m 3 (7990.4 t) biodiesel could be produced every month from the total amount of waste cooking oil used collected from restaurants and households in São Paulo city. According to the São Paulo City Hall [56] data, the city fleet comprises approximately 15,000 diesel vehicles (buses, tractors, trucks, pickup trucks, and others), and it consumes 33,333 m 3 diesel oil monthly, which translates into the monthly fuel cost of US $18,392,982.46. This fuel cost was used to evaluate the economic efficiency of the proposal in this study.…”