O comportamento do consumidor no descarte de Equipamentos da Tecnologia da Informação: um estudo de caso da caracterização do fluxo domiciliar

Pessanha, Luiz Phillipe Mota; Morales, Gudelia

Luiz Phillipe Mota Pessanha

Centro Federal de Educação Tecnológica Celso Suckow da Fonseca – CEFET, Departamento de Engenharia de Produção, Rio de Janeiro, RJ, Brasil. E-mail: luiz.pessanha@cefet-rj.br

http://orcid.org/0000-0002-4564-4497

Gudelia Morales

Universidade Estadual do Norte Fluminense – UENF, Laboratório de Engenharia de Produção – LEPROD, Programa de Pós-graduação em Engenharia de Produção – PPGEP, Campos dos Goytacazes, RJ, Brasil. E-mail: gudelia@uenf.br

Intensity of importance	Definition	Explanation
1	Equal importance	Two criteria contribute equally to the objective
3	Moderate importance of one over another	Experience and judgment strongly favor one criterion over another
5	Essential or strong importance	Experience and judgement strongly favor one criterion over another
7	Very strong importance	An criterion is strongly favored and it dominance demonstrated in practice
9	Extreme importance	The evidence favoring one criterion over another is of tile highest possible order of affirmation
2,4,6,8	Intermediate values between the two adjacent judgments	When compromise is needed

Conversion Scale for Saaty
Proposed Scale	Saaty Scale
0.00 ⊢ 0.45	1
$0.45 ⊢ 0.90$	2
$0.90 ⊢ 1.35$	3
$1.35 ⊢ 1.80$	4
$1.80 ⊢ 2.25$	5
$2.25 ⊢ 2.70$	6
$2.70 ⊢ 3.15$	7
$3.15 ⊢ 3.60$	8
$3.60 ⊢ 4.05$	9

Education		Age		Gender
Don’t read or write	0.6%	From 15 to 25 years old:	55.9%	Male: 42.8%
Basic Education	11.8%	From 26 to 35 years old:	24.8%	Famale: 57.2%
High School	37.6%	From 36 to 45 years old:	13.3%
College	37.3%	From 46 to 55 years old:	5.4%
Postgraduate	12.7%	Over 56 years old:	0.6%

Legend	Criteria
C1	Location of collection point
C2	Receive by collection or discount when purchasing new equipment
C3	Pay a collection rate
C4	Reuse through repair
C5	Potential Contamination
C6	Deliver to recycling companies
C7	Send/Donate to Cooperatives of collectors or institutions that practice reuse

Criteria		C1	C2	C3	C4	C5	C6	C7
Geometric Mean	Cell phones	4.45	3.42	1.56	3.87	4.33	4.27	4.33
	Computers	4.41	3.23	1.67	3.89	4.41	4.30	4.27
	Tablet	4.29	3.09	1.61	3.76	4.45	4.26	4.22

	C1	C2	C3	C4	C5	C6	C7
C1	1	3	7	2	1	1	1
C2	1/3	1	5	½	1/3	½	1/3
C3	1/7	1/5	1	1/6	1/7	1/7	1/7
C4	½	2	6	1	1/2	1	½
C5	1	3	7	2	1	1	1
C6	1	2	7	1			1
C7	1	3	7	2	1	1	1

	C1	C2	C3	C4	C5	C6	C7
C1	1	3	7	2	1	1	1
C2	1/3	1	4	½	1/3	1/3	1/3
C3	1/7	1/4	1	1/5	1/7	1/6	1/6
C4	½	2	5	1	1/2	1	1
C5	1	3	7	2	1	1	1
C6	1	3	6	1	1	1	1
C7	1	3	6	1	1	1	1

	C1	C2	C3	C4	C5	C6	C7
C1	1	3	6	2	1	1	1
C2	1/3	1	4	½	1/4	1/3	1/3
C3	1/6	¼	1	1/5	1/7	1/6	1/6
C4	½	2	5	1	1/2	½	1/2
C5	1	4	7	2	1	1	1
C6	1	3	6	2	1	1	1
C7	1	3	6	2	1	1	1

Comparison Matrix to:	$C I$ .	$R I$ .	$C R$
Cell phone	0.018	1.414	0.013
Computers	0.015	1.414	0.011
Tablets	0.013	1.414	0.009

N = [\begin{matrix} w_{1} \\ w_{2} \\ ⋮ \\ w_{n} \end{matrix} \begin{matrix} w_{1} \\ w_{2} \\ ⋮ \\ w_{n} \end{matrix} \begin{matrix} \dots \\ \dots \\ ⋮ \\ \dots \end{matrix} \begin{matrix} w_{1} \\ w_{2} \\ ⋮ \\ w_{n} \end{matrix}]

A = [\begin{matrix} \begin{matrix} \begin{matrix} 1 \\ w_{2} / w_{1} \end{matrix} \\ ⋮ \end{matrix} \\ w_{n} / w_{1} \end{matrix} \begin{matrix} \begin{matrix} \begin{matrix} w_{1} / w_{2} \\ 1 \end{matrix} \\ ⋮ \end{matrix} \\ w_{n} / w_{2} \end{matrix} \begin{matrix} \dots \\ \dots \\ \dots \\ \dots \end{matrix} \begin{matrix} \begin{matrix} \begin{matrix} w_{1} / w_{n} \\ w_{2} / w_{n} \end{matrix} \\ ⋮ \end{matrix} \\ 1 \end{matrix}]

[\begin{matrix} \begin{matrix} \begin{matrix} 1 \\ w_{2} / w_{1} \end{matrix} \\ ⋮ \end{matrix} \\ w_{n} / w_{1} \end{matrix} \begin{matrix} \begin{matrix} \begin{matrix} w_{1} / w_{2} \\ 1 \end{matrix} \\ ⋮ \end{matrix} \\ w_{n} / w_{2} \end{matrix} \begin{matrix} \dots \\ \dots \\ \dots \\ \dots \end{matrix} \begin{matrix} \begin{matrix} \begin{matrix} w_{1} / w_{n} \\ w_{2} / w_{n} \end{matrix} \\ ⋮ \end{matrix} \\ 1 \end{matrix}] [\begin{matrix} w_{1} \\ w_{2} \\ ⋮ \\ w_{n} \end{matrix}] = n [\begin{matrix} w_{1} \\ w_{2} \\ ⋮ \\ w_{n} \end{matrix}]

a_{i j} = \{\begin{matrix} S ({\bar{c}}_{i} - {\bar{c}}_{j}), w h e n {\bar{c}}_{i} \geq {\bar{c}}_{j} \\ \frac{1}{S ({\bar{c}}_{j} - {\bar{c}}_{i})}, w h e n {\bar{c}}_{i} < {\bar{c}}_{j} \end{matrix}

[1] Source: Saaty (2000)Saaty, T. L. (2000). Decision making for leaders (3rd ed.). Pittsburgh: RWS Publications..

	C1	C2	C3	C4	C5	C6	C7
C1	1	3	7	2	1	1	1
C2	1/3	1	5	½	1/3	½	1/3
C3	1/7	1/5	1	1/6	1/7	1/7	1/7
C4	½	2	6	1	1/2	1	½
C5	1	3	7	2	1	1	1
C6	1	2	7	1			1
C7	1	3	7	2	1	1	1

	C1	C2	C3	C4	C5	C6	C7
C1	1	3	7	2	1	1	1
C2	1/3	1	4	½	1/3	1/3	1/3
C3	1/7	1/4	1	1/5	1/7	1/6	1/6
C4	½	2	5	1	1/2	1	1
C5	1	3	7	2	1	1	1
C6	1	3	6	1	1	1	1
C7	1	3	6	1	1	1	1

	C1	C2	C3	C4	C5	C6	C7
C1	1	3	6	2	1	1	1
C2	1/3	1	4	½	1/4	1/3	1/3
C3	1/6	¼	1	1/5	1/7	1/6	1/6
C4	½	2	5	1	1/2	½	1/2
C5	1	4	7	2	1	1	1
C6	1	3	6	2	1	1	1
C7	1	3	6	2	1	1	1

	C1	C2	C3	C4	C5	C6	C7
C1	1	3	7	2	1	1	1
C2	1/3	1	5	½	1/3	½	1/3
C3	1/7	1/5	1	1/6	1/7	1/7	1/7
C4	½	2	6	1	1/2	1	½
C5	1	3	7	2	1	1	1
C6	1	2	7	1			1
C7	1	3	7	2	1	1	1

	C1	C2	C3	C4	C5	C6	C7
C1	1	3	7	2	1	1	1
C2	1/3	1	4	½	1/3	1/3	1/3
C3	1/7	1/4	1	1/5	1/7	1/6	1/6
C4	½	2	5	1	1/2	1	1
C5	1	3	7	2	1	1	1
C6	1	3	6	1	1	1	1
C7	1	3	6	1	1	1	1

	C1	C2	C3	C4	C5	C6	C7
C1	1	3	6	2	1	1	1
C2	1/3	1	4	½	1/4	1/3	1/3
C3	1/6	¼	1	1/5	1/7	1/6	1/6
C4	½	2	5	1	1/2	½	1/2
C5	1	4	7	2	1	1	1
C6	1	3	6	2	1	1	1
C7	1	3	6	2	1	1	1

Brasil

Brasil

O comportamento do consumidor no descarte de Equipamentos da Tecnologia da Informação: um estudo de caso da caracterização do fluxo domiciliar

Resumo:

	C1	C2	C3	C4	C5	C6	C7
C1	1	3	7	2	1	1	1
C2	1/3	1	5	½	1/3	½	1/3
C3	1/7	1/5	1	1/6	1/7	1/7	1/7
C4	½	2	6	1	1/2	1	½
C5	1	3	7	2	1	1	1
C6	1	2	7	1			1
C7	1	3	7	2	1	1	1

	C1	C2	C3	C4	C5	C6	C7
C1	1	3	7	2	1	1	1
C2	1/3	1	4	½	1/3	1/3	1/3
C3	1/7	1/4	1	1/5	1/7	1/6	1/6
C4	½	2	5	1	1/2	1	1
C5	1	3	7	2	1	1	1
C6	1	3	6	1	1	1	1
C7	1	3	6	1	1	1	1

	C1	C2	C3	C4	C5	C6	C7
C1	1	3	6	2	1	1	1
C2	1/3	1	4	½	1/4	1/3	1/3
C3	1/6	¼	1	1/5	1/7	1/6	1/6
C4	½	2	5	1	1/2	½	1/2
C5	1	4	7	2	1	1	1
C6	1	3	6	2	1	1	1
C7	1	3	6	2	1	1	1