T Identification of impactsThe first step of the MCA was the identification of impacts which included the identification of activities and environmental aspects that led to environmental impacts. The study used senior factory personnel and literature as data sources. Senior staff included two process managers from the CRM and COK processing units and a deputy general manager of the plant. These investigators had between 10 and 16 years of professional factory experience. The study was collected data using key informant interviews (questionnaire II in annexure 10), site visit, structured questionnaire (questionnaire I in annexure 10) and a literature review as a data collection instrument. Senior factory personnel were deliberately selected for interview. This key informant interview was integrated into the site visit to understand the key activity of each processing unit as well as its environmental aspects and potential impacts. The questionnaire was completed by a person representative of the factory on global images of the factory. The person was represented by the deputy general director of the factory and had complete information about the factory. The data collected for impact identification was analyzed by the checklist method. The study used the checklist to summarize the identified activities, environmental aspects and potential impacts. This was possible by integrating the relationship between the process flow of activities and the environmental aspects that resulted in the impacts. Identification of criteriaThe criteria (Table 2.1) were adopted from Kumar & Armani (2012) to compare and judge the impacts identified in the checklist. . These were six criteria and had a maximum of 10 and a minimum of an actual value on a Likert scale. The adoptee...... middle of paper ......y working age less than 51 years old. Households belonging to different age categories have different experience and perception of the impact of the factory on their environment (Annex, Table 4a-4b). The distance between the respondent's home and the factory was also rated by participants from the local community. The study shows that 52.5% of those surveyed live at a distance greater than 200 meters from the factory. However, the remaining 33.3% and 14.2% live within 101 to 200 m and 100 m of the factory, respectively. (Annex 9, Table 5) Data were collected from households using structured interviews (questionnaire VI in Annex 10). Descriptive statistics (means, frequency, cross-tabulations, percentage, count and chi-square) were used to analyze the data collected from the local community. SPSS statistical package was used to analyze the data.