library(data.table)
library(dplyr)
library(plyr)
library(ggplot2)
library(naniar)
library(Hmisc)
library(psych)
library(tidyverse)
library(janitor)
library(knitr)
library(pollster)
library(epiDisplay)
library(descr)
setwd("C:\\Users\\javaw\\OneDrive - Instituto Tecnologico y de Estudios Superiores de Monterrey\\7mo Semestre\\Reto")
#carton<-read.csv()
merma<-read.csv("FORM - Merma.csv")
scrap<-read.csv("FORM - Scrap.csv")
carton<-read.csv("FORM - Produccion Carton Mes.csv")
describe(carton)
## vars n mean sd median trimmed mad min max range skew
## ï..* 1 51 26.00 14.87 26 26.00 19.27 1 51 50 0.00
## X* 2 51 5.24 2.16 5 5.15 2.97 1 9 8 0.34
## X.1* 3 51 22.39 13.72 22 22.29 17.79 1 46 45 0.04
## X.2* 4 51 26.00 14.87 26 26.00 19.27 1 51 50 0.00
## X.3* 5 51 10.49 6.77 8 10.00 7.41 1 24 23 0.47
## X.4* 6 51 3.53 2.59 2 3.17 1.48 1 11 10 0.93
## X.5* 7 51 11.49 9.55 11 10.83 14.83 1 29 28 0.32
## X.6* 8 51 7.63 4.60 8 7.56 7.41 1 14 13 0.08
## TIEMPO.DE.MAQUINAS* 9 51 10.04 8.53 9 9.17 10.38 1 28 27 0.58
## X.7* 10 51 7.55 7.24 2 6.56 1.48 1 24 23 0.84
## X.8* 11 51 7.88 7.94 2 6.73 1.48 1 26 25 0.94
## X.9* 12 51 11.92 10.58 9 10.90 10.38 1 33 32 0.54
## X.10* 13 51 11.92 10.58 9 10.90 10.38 1 33 32 0.54
## X.11* 14 51 2.69 0.91 3 2.66 0.00 1 6 5 0.80
## X.12* 15 51 1.16 0.42 1 1.05 0.00 1 3 2 2.60
## kurtosis se
## ï..* -1.27 2.08
## X* -1.05 0.30
## X.1* -1.28 1.92
## X.2* -1.27 2.08
## X.3* -1.15 0.95
## X.4* 0.16 0.36
## X.5* -1.39 1.34
## X.6* -1.61 0.64
## TIEMPO.DE.MAQUINAS* -1.04 1.19
## X.7* -0.77 1.01
## X.8* -0.62 1.11
## X.9* -1.20 1.48
## X.10* -1.20 1.48
## X.11* 2.58 0.13
## X.12* 6.36 0.06
dim(carton)
## [1] 51 15
describe(merma)
## vars n mean sd median trimmed mad min max range skew kurtosis
## ï..Fecha* 1 60 19.77 13.83 20.5 19.40 17.79 1 43 42 0.05 -1.34
## Mes* 2 60 6.25 4.56 5.0 5.60 4.45 1 19 18 1.05 0.44
## Kilos* 3 60 28.72 15.92 29.0 28.77 19.27 1 56 55 -0.03 -1.21
## se
## ï..Fecha* 1.79
## Mes* 0.59
## Kilos* 2.06
dim(merma)
## [1] 60 3
describe(scrap)
## vars n mean sd median trimmed mad min max
## ï..Referencia* 1 251 126.00 72.60 126 126.00 93.40 1 251
## Fecha* 2 251 16.21 7.11 17 16.50 7.41 1 27
## Producto* 3 251 45.20 24.83 46 44.94 26.69 1 96
## Cantidad 4 251 13.34 105.90 2 3.95 1.48 0 1674
## Unidad.de.medida* 5 251 2.00 0.06 2 2.00 0.00 1 2
## Ubicación.de.origen* 6 251 3.47 0.86 4 3.60 0.00 1 4
## Ubicación.de.desecho* 7 251 2.00 0.06 2 2.00 0.00 1 2
## Estado* 8 251 2.00 0.06 2 2.00 0.00 1 2
## range skew kurtosis se
## ï..Referencia* 250 0.00 -1.21 4.58
## Fecha* 26 -0.29 -0.99 0.45
## Producto* 95 0.01 -0.80 1.57
## Cantidad 1674 15.37 237.90 6.68
## Unidad.de.medida* 1 -15.65 244.02 0.00
## Ubicación.de.origen* 3 -1.11 -0.62 0.05
## Ubicación.de.desecho* 1 -15.65 244.02 0.00
## Estado* 1 -15.65 244.02 0.00
dim(scrap)
## [1] 251 8
Eliminar renglones de total La base de datos de merma posee filas para dividir el mes e indicar el total por mes. Hemos optado por eliminar estas filas para que la base este limpia. Adem
merma<-merma[- grep("Total", merma$Mes),]
Cambiar tipo de variable Como podemos observar, el tipo de variable de varias columnas no es el correspondiente.
str(merma)
## 'data.frame': 50 obs. of 3 variables:
## $ ï..Fecha: chr "11/01/2022" "11/01/2022" "22/01/2022" "22/01/2022" ...
## $ Mes : chr "ENERO" "ENERO" "ENERO" "ENERO" ...
## $ Kilos : chr "5080" "3810" "2990" "2680" ...
merma2<-merma
merma2$Kilos<-as.numeric(merma2$Kilos)
str(merma2$Kilos)
## num [1:50] 5080 3810 2990 2680 3650 4380 3870 3590 3410 3930 ...
merma2$ï..Fecha<-as.POSIXct(merma2$ï..Fecha, format ="%d/%m/%Y")
str(merma2$ï..Fecha)
## POSIXct[1:50], format: "2022-01-11" "2022-01-11" "2022-01-22" "2022-01-22" "2022-02-18" ...
Eliminar renglones del total En la base de datos de Scrap está la fila del mes de agosto con el total. Esta fila hay que eliminarla, al igual que como lo hicimos con la base de datos de Merma.
scrap<-scrap[- grep("agosto", scrap$ï..Referencia),]
Cambiar tipo de variable Como podemos observar algunas variables tienen un tipo de variable incorrecto.
str(scrap)
## 'data.frame': 250 obs. of 8 variables:
## $ ï..Referencia : chr "SP/08731" "SP/08730" "SP/08729" "SP/08728" ...
## $ Fecha : chr "31/08/2022" "31/08/2022" "31/08/2022" "31/08/2022" ...
## $ Producto : chr "[BACKFRAME 60% CUELLO ARMADO] 18805. 60% Backframe. Cuello Armado." "[N61506747 CAJA] N61506747. Kit. Caja." "[N61506729 SEPARADOR] N61506729. Kit. Separador." "[341332 DIVISOR - U611 & U625] 341332. U611. U625. Divisor Troquelado." ...
## $ Cantidad : num 2 1 1 31 1 1 1 9 2 1 ...
## $ Unidad.de.medida : chr "Unidad(es)" "Unidad(es)" "Unidad(es)" "Unidad(es)" ...
## $ Ubicación.de.origen : chr "SAB/Calidad/Entrega de PT" "SAB/Calidad/Entrega de PT" "SAB/Calidad/Entrega de PT" "SAB/Pre-Production" ...
## $ Ubicación.de.desecho: chr "Virtual Locations/Scrapped" "Virtual Locations/Scrapped" "Virtual Locations/Scrapped" "Virtual Locations/Scrapped" ...
## $ Estado : chr "Hecho" "Hecho" "Hecho" "Hecho" ...
scrap2<-scrap
scrap2$Fecha<-as.POSIXct(scrap2$Fecha, format ="%d/%m/%Y")
str(scrap2$Fecha)
## POSIXct[1:250], format: "2022-08-31" "2022-08-31" "2022-08-31" "2022-08-31" "2022-08-31" ...
Eliminar columnas que no son necesarias
colnames(scrap2)
## [1] "ï..Referencia" "Fecha" "Producto"
## [4] "Cantidad" "Unidad.de.medida" "Ubicación.de.origen"
## [7] "Ubicación.de.desecho" "Estado"
scrap2<- dplyr::select(scrap2, -c(Unidad.de.medida,Estado))
Convertir primera fila a nombres de columna La primera fila contiene los nombres de las columnas, por lo que es necesario hacer este cambio.
colnames(carton)<-carton[1,]
carton<-carton[-1,]
Eliminar columnas vacías La columna de Tiempo Materiales está vacía, por lo que no es necesaria para el análisis y podemos eliminarla.
carton<-clean_names(carton)
carton<- dplyr::select(carton, -c(tiempo_materiales))
Cambiar tipo de variable Como podemos observar algunas variables tienen un tipo de variable incorrecto.
str(carton)
## 'data.frame': 50 obs. of 14 variables:
## $ no : chr "1" "2" "3" "4" ...
## $ cliente : chr "STABILUS 1" "HANON SYSTEMS" "HANON SYSTEMS" "VARROC" ...
## $ id_form : chr "" "" "" "VL-017-13928" ...
## $ producto : chr "STABOMAT 643920. CAJA IMP. CORTE. AZUL.PC0011. ( 2 Pza/Caja)." "CANOO CAJA EFP-051-19495 24" "CANOO TAPA EFP-051-19496 24" "729 KIT. CAJA HSC. ( 2 Partes)" ...
## $ piezas_prog : chr "100" "24" "24" "15" ...
## $ tmo_min : chr "15" "10" "10" "10" ...
## $ hr_fin : chr "8:15" "8:25" "8:35" "8:45" ...
## $ estacion_arranque : chr "C1" "C1Y2" "C1Y2" "C1Y2" ...
## $ laminas_procesadas : chr "2" "24" "24" "32" ...
## $ inicio_sep_up : chr "8:03" "8:33" "9:07" "9:30" ...
## $ fin_inicio_de_sep_up: chr "8:04" "8:35" "9:08" "9:32" ...
## $ inicio_de_proceso : chr "8:06" "8:39" "1:10" "9:35" ...
## $ fin_de_proceso : chr "8:33" "9:06" "9:30" "10.00" ...
## $ tiempo_calidad : chr "1" "1" "1" "1" ...
carton2<-carton
carton2$no<-as.integer(carton2$no)
carton2$piezas_prog <-as.integer(carton2$piezas_prog)
carton2$tmo_min <-as.integer(carton2$tmo_min)
carton2$hr_fin<-as.POSIXct(carton2$hr_fin,format="%H:%M")
carton2$hr_fin <- as.ITime(carton2$hr_fin)
carton2$inicio_sep_up<-as.POSIXct(carton2$inicio_sep_up,format="%H:%M")
carton2$inicio_sep_up <- as.ITime(carton2$inicio_sep_up)
carton2$fin_inicio_de_sep_up<-as.POSIXct(carton2$fin_inicio_de_sep_up,format="%H:%M")
carton2$fin_inicio_de_sep_up <- as.ITime(carton2$fin_inicio_de_sep_up)
carton2$inicio_de_proceso<-as.POSIXct(carton2$inicio_de_proceso,format="%H:%M")
carton2$inicio_de_proceso <- as.ITime(carton2$inicio_de_proceso)
carton2$fin_de_proceso<-as.POSIXct(carton2$fin_de_proceso,format="%H:%M")
carton2$fin_de_proceso <- as.ITime(carton2$fin_de_proceso)
str(carton2)
## 'data.frame': 50 obs. of 14 variables:
## $ no : int 1 2 3 4 5 6 7 8 9 10 ...
## $ cliente : chr "STABILUS 1" "HANON SYSTEMS" "HANON SYSTEMS" "VARROC" ...
## $ id_form : chr "" "" "" "VL-017-13928" ...
## $ producto : chr "STABOMAT 643920. CAJA IMP. CORTE. AZUL.PC0011. ( 2 Pza/Caja)." "CANOO CAJA EFP-051-19495 24" "CANOO TAPA EFP-051-19496 24" "729 KIT. CAJA HSC. ( 2 Partes)" ...
## $ piezas_prog : int 100 24 24 15 15 1 15 63 15 56 ...
## $ tmo_min : int 15 10 10 10 10 10 10 10 10 10 ...
## $ hr_fin : 'ITime' int 08:15:00 08:25:00 08:35:00 08:45:00 08:55:00 09:05:00 09:15:00 09:25:00 09:35:00 09:45:00 ...
## $ estacion_arranque : chr "C1" "C1Y2" "C1Y2" "C1Y2" ...
## $ laminas_procesadas : chr "2" "24" "24" "32" ...
## $ inicio_sep_up : 'ITime' int 08:03:00 08:33:00 09:07:00 09:30:00 NA NA NA NA 12:24:00 NA ...
## $ fin_inicio_de_sep_up: 'ITime' int 08:04:00 08:35:00 09:08:00 09:32:00 10:02:00 10:34:00 10:32:00 NA 12:26:00 NA ...
## $ inicio_de_proceso : 'ITime' int 08:06:00 08:39:00 01:10:00 09:35:00 NA NA 10:34:00 NA 12:27:00 NA ...
## $ fin_de_proceso : 'ITime' int 08:33:00 09:06:00 09:30:00 NA NA 10:41:00 11:00:00 NA 12:42:00 NA ...
## $ tiempo_calidad : chr "1" "1" "1" "1" ...
Variable<-c("`Fecha`","`Mes`","`Kilos`")
Type<-c("Qualitative (nominal)", "Qualitative (nominal)", "Quantitative (discrete)")
table<-data.frame(Variable,Type)
knitr::kable(table)
| Variable | Type |
|---|---|
Fecha |
Qualitative (nominal) |
Mes |
Qualitative (nominal) |
Kilos |
Quantitative (discrete) |
Variable2<-c("`Referencia`","`Fecha`","`Producto`","`Cantidad`", "`Ubicación de origen`", "`Ubicación de Desecho`")
Type2<-c("Qualitative (nominal)", "Quantitative (discrete)", "Qualitative (nominal)","Quantitative (discrete)", "Qualitative (nominal)","Qualitative (nominal)")
table2<-data.frame(Variable2,Type2)
knitr::kable(table2)
| Variable2 | Type2 |
|---|---|
Referencia |
Qualitative (nominal) |
Fecha |
Quantitative (discrete) |
Producto |
Qualitative (nominal) |
Cantidad |
Quantitative (discrete) |
Ubicación de origen |
Qualitative (nominal) |
Ubicación de Desecho |
Qualitative (nominal) |
Variable3<-c("`Cliente`","`ID Form`", "`Producto`","`Piezas programadas`", "`Tiempo minutos`", "`Hora fin`", "`Estacion arranque`", "`Laminas procesadas`", "`Inicio set up`", "`Fin inicio set up`", "`Inicio de proceso`", "`Fin de proceso`", "`Tiempo calidad`")
Type3<-c("Qualitative (nominal)","Qualitative (nominal)", "Qualitative (nominal)","Quantitative (discrete)", "Quantitative (discrete)", "Quantitative (continuous)", "Qualitative (nominal)", "Quantitative (discrete)", "Quantitative (continuous)", "Quantitative (continuous)", "Quantitative (continuous)", "Quantitative (continuous)", "Quantitative (discrete)" )
table3<-data.frame(Variable3,Type3)
knitr::kable(table3)
| Variable3 | Type3 |
|---|---|
Cliente |
Qualitative (nominal) |
ID Form |
Qualitative (nominal) |
Producto |
Qualitative (nominal) |
Piezas programadas |
Quantitative (discrete) |
Tiempo minutos |
Quantitative (discrete) |
Hora fin |
Quantitative (continuous) |
Estacion arranque |
Qualitative (nominal) |
Laminas procesadas |
Quantitative (discrete) |
Inicio set up |
Quantitative (continuous) |
Fin inicio set up |
Quantitative (continuous) |
Inicio de proceso |
Quantitative (continuous) |
Fin de proceso |
Quantitative (continuous) |
Tiempo calidad |
Quantitative (discrete) |
Incorpora al menos dos propuestas concretas, apoyadas de tu análisis en donde se incluye al menos: (1) Tabla de frecuencia, (opcional) Tablas cruzadas, (2-3) Gráficos de datos cualitativos y cuantitativos, así como (2-3) Gráficos de dispersión.
Scrap
ubicacion_origen <- scrap2 %>% group_by(Ubicación.de.origen) %>% tally()
ubicacion_origen
## # A tibble: 3 x 2
## Ubicación.de.origen n
## <chr> <int>
## 1 SAB/Calidad/Entrega de PT 58
## 2 SAB/Post-Production 13
## 3 SAB/Pre-Production 179
Merma
mes <- merma2 %>% group_by(Mes) %>% tally()
mes
## # A tibble: 9 x 2
## Mes n
## <chr> <int>
## 1 ABRIL 5
## 2 AGOSTO 11
## 3 ENERO 4
## 4 FEBRERO 6
## 5 JULIO 5
## 6 JUNIO 4
## 7 MARZO 6
## 8 MAYO 5
## 9 SEPTIEMBRE 4
Producción de cartón
cliente <- carton2 %>% group_by(cliente) %>% tally()
cliente
## # A tibble: 8 x 2
## cliente n
## <chr> <int>
## 1 HANON SYSTEMS 2
## 2 MERIDIAN LIGHTWEIGHT 7
## 3 STABILUS 1 15
## 4 STABILUS 3 8
## 5 STABILUS 3. 1
## 6 TRMX 6
## 7 VARROC 6
## 8 YANFENG 5
Producción de cartón
CrossTable(carton2$cliente,carton2$estacion_arranque)
## Warning in chisq.test(tab, correct = FALSE, ...): Chi-squared approximation may
## be incorrect
## Cell Contents
## |-------------------------|
## | N |
## | Chi-square contribution |
## | N / Row Total |
## | N / Col Total |
## | N / Table Total |
## |-------------------------|
##
## =====================================================================================================================================
## carton2$estacion_arranque
## crtn2$ C1 C1Y2 C3 C3. CAJAS CELDAS FLEXO RANURA ROTATI ROTATI SIERRA STABIL TROQUE Total
## -------------------------------------------------------------------------------------------------------------------------------------
## HANON 0 2 0 0 0 0 0 0 0 0 0 0 0 2
## 0.040 7.471 0.240 0.040 0.200 0.080 0.120 0.120 0.040 0.200 0.040 0.240 0.280
## 0.000 1.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.040
## 0.000 0.222 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
## 0.00 0.04 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## -------------------------------------------------------------------------------------------------------------------------------------
## MERIDI 0 4 3 0 0 0 0 0 0 0 0 0 0 7
## 0.140 5.958 5.554 0.140 0.700 0.280 0.420 0.420 0.140 0.700 0.140 0.840 0.980
## 0.000 0.571 0.429 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.140
## 0.000 0.444 0.500 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
## 0.00 0.08 0.06 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## -------------------------------------------------------------------------------------------------------------------------------------
## STABIL 1 0 0 0 2 0 3 1 0 3 0 4 1 15
## 1.633 2.700 1.800 0.300 0.167 0.600 4.900 0.011 0.300 1.500 0.300 2.689 0.576
## 0.067 0.000 0.000 0.000 0.133 0.000 0.200 0.067 0.000 0.200 0.000 0.267 0.067 0.300
## 1.000 0.000 0.000 0.000 0.400 0.000 1.000 0.333 0.000 0.600 0.000 0.667 0.143
## 0.02 0.00 0.00 0.00 0.04 0.00 0.06 0.02 0.00 0.06 0.00 0.08 0.02
## -------------------------------------------------------------------------------------------------------------------------------------
## STABIL 0 0 0 1 0 0 0 0 0 1 0 2 4 8
## 0.160 1.440 0.960 4.410 0.800 0.320 0.480 0.480 0.160 0.050 0.160 1.127 7.406
## 0.000 0.000 0.000 0.125 0.000 0.000 0.000 0.000 0.000 0.125 0.000 0.250 0.500 0.160
## 0.000 0.000 0.000 1.000 0.000 0.000 0.000 0.000 0.000 0.200 0.000 0.333 0.571
## 0.00 0.00 0.00 0.02 0.00 0.00 0.00 0.00 0.00 0.02 0.00 0.04 0.08
## -------------------------------------------------------------------------------------------------------------------------------------
## STABIL 0 0 0 0 0 0 0 0 0 1 0 0 0 1
## 0.020 0.180 0.120 0.020 0.100 0.040 0.060 0.060 0.020 8.100 0.020 0.120 0.140
## 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 1.000 0.000 0.000 0.000 0.020
## 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.200 0.000 0.000 0.000
## 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.02 0.00 0.00 0.00
## -------------------------------------------------------------------------------------------------------------------------------------
## TRMX 0 1 0 0 1 2 0 1 0 0 0 0 1 6
## 0.120 0.006 0.720 0.120 0.267 12.907 0.360 1.138 0.120 0.600 0.120 0.720 0.030
## 0.000 0.167 0.000 0.000 0.167 0.333 0.000 0.167 0.000 0.000 0.000 0.000 0.167 0.120
## 0.000 0.111 0.000 0.000 0.200 1.000 0.000 0.333 0.000 0.000 0.000 0.000 0.143
## 0.00 0.02 0.00 0.00 0.02 0.04 0.00 0.02 0.00 0.00 0.00 0.00 0.02
## -------------------------------------------------------------------------------------------------------------------------------------
## VARROC 0 2 3 0 0 0 0 0 0 0 0 0 1 6
## 0.120 0.784 7.220 0.120 0.600 0.240 0.360 0.360 0.120 0.600 0.120 0.720 0.030
## 0.000 0.333 0.500 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.167 0.120
## 0.000 0.222 0.500 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.143
## 0.00 0.04 0.06 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.02
## -------------------------------------------------------------------------------------------------------------------------------------
## YANFEN 0 0 0 0 2 0 0 1 1 0 1 0 0 5
## 0.100 0.900 0.600 0.100 4.500 0.200 0.300 1.633 8.100 0.500 8.100 0.600 0.700
## 0.000 0.000 0.000 0.000 0.400 0.000 0.000 0.200 0.200 0.000 0.200 0.000 0.000 0.100
## 0.000 0.000 0.000 0.000 0.400 0.000 0.000 0.333 1.000 0.000 1.000 0.000 0.000
## 0.00 0.00 0.00 0.00 0.04 0.00 0.00 0.02 0.02 0.00 0.02 0.00 0.00
## -------------------------------------------------------------------------------------------------------------------------------------
## Total 1 9 6 1 5 2 3 3 1 5 1 6 7 50
## 0.02 0.18 0.12 0.02 0.10 0.04 0.06 0.06 0.02 0.10 0.02 0.12 0.14
## =====================================================================================================================================
Scrap
colnames(scrap2)
## [1] "ï..Referencia" "Fecha" "Producto"
## [4] "Cantidad" "Ubicación.de.origen" "Ubicación.de.desecho"
CrossTable(scrap2$ï..Referencia,scrap2$`Ubicación.de.origen`, prop.chisq=FALSE)
## Cell Contents
## |-------------------------|
## | N |
## | N / Row Total |
## | N / Col Total |
## | N / Table Total |
## |-------------------------|
##
## ==============================================================================
## scrap2$Ubicación.de.origen
## scrap2$ï..Rfrnc SAB/Cldd/E d PT SAB/Post-Prdctn SAB/Pre-Prodctn Total
## ------------------------------------------------------------------------------
## SP/08479 1 0 0 1
## 1.000 0.000 0.000 0.004
## 0.017 0.000 0.000
## 0.004 0.000 0.000
## ------------------------------------------------------------------------------
## SP/08480 1 0 0 1
## 1.000 0.000 0.000 0.004
## 0.017 0.000 0.000
## 0.004 0.000 0.000
## ------------------------------------------------------------------------------
## SP/08481 0 1 0 1
## 0.000 1.000 0.000 0.004
## 0.000 0.077 0.000
## 0.000 0.004 0.000
## ------------------------------------------------------------------------------
## SP/08482 0 1 0 1
## 0.000 1.000 0.000 0.004
## 0.000 0.077 0.000
## 0.000 0.004 0.000
## ------------------------------------------------------------------------------
## SP/08483 1 0 0 1
## 1.000 0.000 0.000 0.004
## 0.017 0.000 0.000
## 0.004 0.000 0.000
## ------------------------------------------------------------------------------
## SP/08484 1 0 0 1
## 1.000 0.000 0.000 0.004
## 0.017 0.000 0.000
## 0.004 0.000 0.000
## ------------------------------------------------------------------------------
## SP/08485 1 0 0 1
## 1.000 0.000 0.000 0.004
## 0.017 0.000 0.000
## 0.004 0.000 0.000
## ------------------------------------------------------------------------------
## SP/08486 0 0 1 1
## 0.000 0.000 1.000 0.004
## 0.000 0.000 0.006
## 0.000 0.000 0.004
## ------------------------------------------------------------------------------
## SP/08487 0 0 1 1
## 0.000 0.000 1.000 0.004
## 0.000 0.000 0.006
## 0.000 0.000 0.004
## ------------------------------------------------------------------------------
## SP/08488 0 0 1 1
## 0.000 0.000 1.000 0.004
## 0.000 0.000 0.006
## 0.000 0.000 0.004
## ------------------------------------------------------------------------------
## SP/08489 0 0 1 1
## 0.000 0.000 1.000 0.004
## 0.000 0.000 0.006
## 0.000 0.000 0.004
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## 0.000 0.000 1.000 0.004
## 0.000 0.000 0.006
## 0.000 0.000 0.004
## ------------------------------------------------------------------------------
## SP/08642 0 0 1 1
## 0.000 0.000 1.000 0.004
## 0.000 0.000 0.006
## 0.000 0.000 0.004
## ------------------------------------------------------------------------------
## SP/08643 0 0 1 1
## 0.000 0.000 1.000 0.004
## 0.000 0.000 0.006
## 0.000 0.000 0.004
## ------------------------------------------------------------------------------
## SP/08644 0 0 1 1
## 0.000 0.000 1.000 0.004
## 0.000 0.000 0.006
## 0.000 0.000 0.004
## ------------------------------------------------------------------------------
## SP/08645 0 0 1 1
## 0.000 0.000 1.000 0.004
## 0.000 0.000 0.006
## 0.000 0.000 0.004
## ------------------------------------------------------------------------------
## SP/08646 0 0 1 1
## 0.000 0.000 1.000 0.004
## 0.000 0.000 0.006
## 0.000 0.000 0.004
## ------------------------------------------------------------------------------
## SP/08647 0 0 1 1
## 0.000 0.000 1.000 0.004
## 0.000 0.000 0.006
## 0.000 0.000 0.004
## ------------------------------------------------------------------------------
## SP/08648 0 0 1 1
## 0.000 0.000 1.000 0.004
## 0.000 0.000 0.006
## 0.000 0.000 0.004
## ------------------------------------------------------------------------------
## SP/08649 0 0 1 1
## 0.000 0.000 1.000 0.004
## 0.000 0.000 0.006
## 0.000 0.000 0.004
## ------------------------------------------------------------------------------
## SP/08650 0 0 1 1
## 0.000 0.000 1.000 0.004
## 0.000 0.000 0.006
## 0.000 0.000 0.004
## ------------------------------------------------------------------------------
## SP/08651 0 0 1 1
## 0.000 0.000 1.000 0.004
## 0.000 0.000 0.006
## 0.000 0.000 0.004
## ------------------------------------------------------------------------------
## SP/08652 0 0 1 1
## 0.000 0.000 1.000 0.004
## 0.000 0.000 0.006
## 0.000 0.000 0.004
## ------------------------------------------------------------------------------
## SP/08653 0 0 1 1
## 0.000 0.000 1.000 0.004
## 0.000 0.000 0.006
## 0.000 0.000 0.004
## ------------------------------------------------------------------------------
## SP/08654 0 0 1 1
## 0.000 0.000 1.000 0.004
## 0.000 0.000 0.006
## 0.000 0.000 0.004
## ------------------------------------------------------------------------------
## SP/08655 0 0 1 1
## 0.000 0.000 1.000 0.004
## 0.000 0.000 0.006
## 0.000 0.000 0.004
## ------------------------------------------------------------------------------
## SP/08656 0 0 1 1
## 0.000 0.000 1.000 0.004
## 0.000 0.000 0.006
## 0.000 0.000 0.004
## ------------------------------------------------------------------------------
## SP/08657 1 0 0 1
## 1.000 0.000 0.000 0.004
## 0.017 0.000 0.000
## 0.004 0.000 0.000
## ------------------------------------------------------------------------------
## SP/08658 1 0 0 1
## 1.000 0.000 0.000 0.004
## 0.017 0.000 0.000
## 0.004 0.000 0.000
## ------------------------------------------------------------------------------
## SP/08659 1 0 0 1
## 1.000 0.000 0.000 0.004
## 0.017 0.000 0.000
## 0.004 0.000 0.000
## ------------------------------------------------------------------------------
## SP/08660 1 0 0 1
## 1.000 0.000 0.000 0.004
## 0.017 0.000 0.000
## 0.004 0.000 0.000
## ------------------------------------------------------------------------------
## SP/08661 1 0 0 1
## 1.000 0.000 0.000 0.004
## 0.017 0.000 0.000
## 0.004 0.000 0.000
## ------------------------------------------------------------------------------
## SP/08662 0 0 1 1
## 0.000 0.000 1.000 0.004
## 0.000 0.000 0.006
## 0.000 0.000 0.004
## ------------------------------------------------------------------------------
## SP/08663 0 0 1 1
## 0.000 0.000 1.000 0.004
## 0.000 0.000 0.006
## 0.000 0.000 0.004
## ------------------------------------------------------------------------------
## SP/08664 0 0 1 1
## 0.000 0.000 1.000 0.004
## 0.000 0.000 0.006
## 0.000 0.000 0.004
## ------------------------------------------------------------------------------
## SP/08665 0 0 1 1
## 0.000 0.000 1.000 0.004
## 0.000 0.000 0.006
## 0.000 0.000 0.004
## ------------------------------------------------------------------------------
## SP/08666 0 0 1 1
## 0.000 0.000 1.000 0.004
## 0.000 0.000 0.006
## 0.000 0.000 0.004
## ------------------------------------------------------------------------------
## SP/08667 0 0 1 1
## 0.000 0.000 1.000 0.004
## 0.000 0.000 0.006
## 0.000 0.000 0.004
## ------------------------------------------------------------------------------
## SP/08668 0 0 1 1
## 0.000 0.000 1.000 0.004
## 0.000 0.000 0.006
## 0.000 0.000 0.004
## ------------------------------------------------------------------------------
## SP/08669 1 0 0 1
## 1.000 0.000 0.000 0.004
## 0.017 0.000 0.000
## 0.004 0.000 0.000
## ------------------------------------------------------------------------------
## SP/08670 1 0 0 1
## 1.000 0.000 0.000 0.004
## 0.017 0.000 0.000
## 0.004 0.000 0.000
## ------------------------------------------------------------------------------
## SP/08671 1 0 0 1
## 1.000 0.000 0.000 0.004
## 0.017 0.000 0.000
## 0.004 0.000 0.000
## ------------------------------------------------------------------------------
## SP/08672 1 0 0 1
## 1.000 0.000 0.000 0.004
## 0.017 0.000 0.000
## 0.004 0.000 0.000
## ------------------------------------------------------------------------------
## SP/08673 1 0 0 1
## 1.000 0.000 0.000 0.004
## 0.017 0.000 0.000
## 0.004 0.000 0.000
## ------------------------------------------------------------------------------
## SP/08674 1 0 0 1
## 1.000 0.000 0.000 0.004
## 0.017 0.000 0.000
## 0.004 0.000 0.000
## ------------------------------------------------------------------------------
## SP/08675 1 0 0 1
## 1.000 0.000 0.000 0.004
## 0.017 0.000 0.000
## 0.004 0.000 0.000
## ------------------------------------------------------------------------------
## SP/08676 1 0 0 1
## 1.000 0.000 0.000 0.004
## 0.017 0.000 0.000
## 0.004 0.000 0.000
## ------------------------------------------------------------------------------
## SP/08677 0 0 1 1
## 0.000 0.000 1.000 0.004
## 0.000 0.000 0.006
## 0.000 0.000 0.004
## ------------------------------------------------------------------------------
## SP/08678 0 0 1 1
## 0.000 0.000 1.000 0.004
## 0.000 0.000 0.006
## 0.000 0.000 0.004
## ------------------------------------------------------------------------------
## SP/08679 0 0 1 1
## 0.000 0.000 1.000 0.004
## 0.000 0.000 0.006
## 0.000 0.000 0.004
## ------------------------------------------------------------------------------
## SP/08680 0 0 1 1
## 0.000 0.000 1.000 0.004
## 0.000 0.000 0.006
## 0.000 0.000 0.004
## ------------------------------------------------------------------------------
## SP/08681 0 0 1 1
## 0.000 0.000 1.000 0.004
## 0.000 0.000 0.006
## 0.000 0.000 0.004
## ------------------------------------------------------------------------------
## SP/08682 1 0 0 1
## 1.000 0.000 0.000 0.004
## 0.017 0.000 0.000
## 0.004 0.000 0.000
## ------------------------------------------------------------------------------
## SP/08683 1 0 0 1
## 1.000 0.000 0.000 0.004
## 0.017 0.000 0.000
## 0.004 0.000 0.000
## ------------------------------------------------------------------------------
## SP/08684 1 0 0 1
## 1.000 0.000 0.000 0.004
## 0.017 0.000 0.000
## 0.004 0.000 0.000
## ------------------------------------------------------------------------------
## SP/08685 0 0 1 1
## 0.000 0.000 1.000 0.004
## 0.000 0.000 0.006
## 0.000 0.000 0.004
## ------------------------------------------------------------------------------
## SP/08686 0 0 1 1
## 0.000 0.000 1.000 0.004
## 0.000 0.000 0.006
## 0.000 0.000 0.004
## ------------------------------------------------------------------------------
## SP/08687 0 0 1 1
## 0.000 0.000 1.000 0.004
## 0.000 0.000 0.006
## 0.000 0.000 0.004
## ------------------------------------------------------------------------------
## SP/08688 0 0 1 1
## 0.000 0.000 1.000 0.004
## 0.000 0.000 0.006
## 0.000 0.000 0.004
## ------------------------------------------------------------------------------
## SP/08689 0 0 1 1
## 0.000 0.000 1.000 0.004
## 0.000 0.000 0.006
## 0.000 0.000 0.004
## ------------------------------------------------------------------------------
## SP/08690 0 0 1 1
## 0.000 0.000 1.000 0.004
## 0.000 0.000 0.006
## 0.000 0.000 0.004
## ------------------------------------------------------------------------------
## SP/08691 0 0 1 1
## 0.000 0.000 1.000 0.004
## 0.000 0.000 0.006
## 0.000 0.000 0.004
## ------------------------------------------------------------------------------
## SP/08692 0 0 1 1
## 0.000 0.000 1.000 0.004
## 0.000 0.000 0.006
## 0.000 0.000 0.004
## ------------------------------------------------------------------------------
## SP/08693 0 0 1 1
## 0.000 0.000 1.000 0.004
## 0.000 0.000 0.006
## 0.000 0.000 0.004
## ------------------------------------------------------------------------------
## SP/08694 0 0 1 1
## 0.000 0.000 1.000 0.004
## 0.000 0.000 0.006
## 0.000 0.000 0.004
## ------------------------------------------------------------------------------
## SP/08695 0 0 1 1
## 0.000 0.000 1.000 0.004
## 0.000 0.000 0.006
## 0.000 0.000 0.004
## ------------------------------------------------------------------------------
## SP/08696 1 0 0 1
## 1.000 0.000 0.000 0.004
## 0.017 0.000 0.000
## 0.004 0.000 0.000
## ------------------------------------------------------------------------------
## SP/08697 0 0 1 1
## 0.000 0.000 1.000 0.004
## 0.000 0.000 0.006
## 0.000 0.000 0.004
## ------------------------------------------------------------------------------
## SP/08698 0 0 1 1
## 0.000 0.000 1.000 0.004
## 0.000 0.000 0.006
## 0.000 0.000 0.004
## ------------------------------------------------------------------------------
## SP/08699 0 0 1 1
## 0.000 0.000 1.000 0.004
## 0.000 0.000 0.006
## 0.000 0.000 0.004
## ------------------------------------------------------------------------------
## SP/08700 0 0 1 1
## 0.000 0.000 1.000 0.004
## 0.000 0.000 0.006
## 0.000 0.000 0.004
## ------------------------------------------------------------------------------
## SP/08701 0 0 1 1
## 0.000 0.000 1.000 0.004
## 0.000 0.000 0.006
## 0.000 0.000 0.004
## ------------------------------------------------------------------------------
## SP/08702 0 0 1 1
## 0.000 0.000 1.000 0.004
## 0.000 0.000 0.006
## 0.000 0.000 0.004
## ------------------------------------------------------------------------------
## SP/08703 1 0 0 1
## 1.000 0.000 0.000 0.004
## 0.017 0.000 0.000
## 0.004 0.000 0.000
## ------------------------------------------------------------------------------
## SP/08704 1 0 0 1
## 1.000 0.000 0.000 0.004
## 0.017 0.000 0.000
## 0.004 0.000 0.000
## ------------------------------------------------------------------------------
## SP/08705 0 0 1 1
## 0.000 0.000 1.000 0.004
## 0.000 0.000 0.006
## 0.000 0.000 0.004
## ------------------------------------------------------------------------------
## SP/08706 0 0 1 1
## 0.000 0.000 1.000 0.004
## 0.000 0.000 0.006
## 0.000 0.000 0.004
## ------------------------------------------------------------------------------
## SP/08707 0 0 1 1
## 0.000 0.000 1.000 0.004
## 0.000 0.000 0.006
## 0.000 0.000 0.004
## ------------------------------------------------------------------------------
## SP/08708 0 0 1 1
## 0.000 0.000 1.000 0.004
## 0.000 0.000 0.006
## 0.000 0.000 0.004
## ------------------------------------------------------------------------------
## SP/08709 0 0 1 1
## 0.000 0.000 1.000 0.004
## 0.000 0.000 0.006
## 0.000 0.000 0.004
## ------------------------------------------------------------------------------
## SP/08710 0 0 1 1
## 0.000 0.000 1.000 0.004
## 0.000 0.000 0.006
## 0.000 0.000 0.004
## ------------------------------------------------------------------------------
## SP/08711 0 0 1 1
## 0.000 0.000 1.000 0.004
## 0.000 0.000 0.006
## 0.000 0.000 0.004
## ------------------------------------------------------------------------------
## SP/08712 0 0 1 1
## 0.000 0.000 1.000 0.004
## 0.000 0.000 0.006
## 0.000 0.000 0.004
## ------------------------------------------------------------------------------
## SP/08713 0 0 1 1
## 0.000 0.000 1.000 0.004
## 0.000 0.000 0.006
## 0.000 0.000 0.004
## ------------------------------------------------------------------------------
## SP/08714 0 0 1 1
## 0.000 0.000 1.000 0.004
## 0.000 0.000 0.006
## 0.000 0.000 0.004
## ------------------------------------------------------------------------------
## SP/08715 0 0 1 1
## 0.000 0.000 1.000 0.004
## 0.000 0.000 0.006
## 0.000 0.000 0.004
## ------------------------------------------------------------------------------
## SP/08716 0 0 1 1
## 0.000 0.000 1.000 0.004
## 0.000 0.000 0.006
## 0.000 0.000 0.004
## ------------------------------------------------------------------------------
## SP/08717 0 0 1 1
## 0.000 0.000 1.000 0.004
## 0.000 0.000 0.006
## 0.000 0.000 0.004
## ------------------------------------------------------------------------------
## SP/08718 1 0 0 1
## 1.000 0.000 0.000 0.004
## 0.017 0.000 0.000
## 0.004 0.000 0.000
## ------------------------------------------------------------------------------
## SP/08719 1 0 0 1
## 1.000 0.000 0.000 0.004
## 0.017 0.000 0.000
## 0.004 0.000 0.000
## ------------------------------------------------------------------------------
## SP/08720 1 0 0 1
## 1.000 0.000 0.000 0.004
## 0.017 0.000 0.000
## 0.004 0.000 0.000
## ------------------------------------------------------------------------------
## SP/08721 1 0 0 1
## 1.000 0.000 0.000 0.004
## 0.017 0.000 0.000
## 0.004 0.000 0.000
## ------------------------------------------------------------------------------
## SP/08722 0 0 1 1
## 0.000 0.000 1.000 0.004
## 0.000 0.000 0.006
## 0.000 0.000 0.004
## ------------------------------------------------------------------------------
## SP/08723 0 0 1 1
## 0.000 0.000 1.000 0.004
## 0.000 0.000 0.006
## 0.000 0.000 0.004
## ------------------------------------------------------------------------------
## SP/08724 0 0 1 1
## 0.000 0.000 1.000 0.004
## 0.000 0.000 0.006
## 0.000 0.000 0.004
## ------------------------------------------------------------------------------
## SP/08725 0 0 1 1
## 0.000 0.000 1.000 0.004
## 0.000 0.000 0.006
## 0.000 0.000 0.004
## ------------------------------------------------------------------------------
## SP/08726 0 0 1 1
## 0.000 0.000 1.000 0.004
## 0.000 0.000 0.006
## 0.000 0.000 0.004
## ------------------------------------------------------------------------------
## SP/08727 0 0 1 1
## 0.000 0.000 1.000 0.004
## 0.000 0.000 0.006
## 0.000 0.000 0.004
## ------------------------------------------------------------------------------
## SP/08728 0 0 1 1
## 0.000 0.000 1.000 0.004
## 0.000 0.000 0.006
## 0.000 0.000 0.004
## ------------------------------------------------------------------------------
## SP/08729 1 0 0 1
## 1.000 0.000 0.000 0.004
## 0.017 0.000 0.000
## 0.004 0.000 0.000
## ------------------------------------------------------------------------------
## SP/08730 1 0 0 1
## 1.000 0.000 0.000 0.004
## 0.017 0.000 0.000
## 0.004 0.000 0.000
## ------------------------------------------------------------------------------
## SP/08731 1 0 0 1
## 1.000 0.000 0.000 0.004
## 0.017 0.000 0.000
## 0.004 0.000 0.000
## ------------------------------------------------------------------------------
## Total 58 13 179 250
## 0.232 0.052 0.716
## ==============================================================================
CrossTable(scrap2$`Ubicación.de.desecho`,scrap2$`Ubicación.de.origen`, prop.chisq=FALSE)
## Cell Contents
## |-------------------------|
## | N |
## | N / Table Total |
## |-------------------------|
##
## ==============================================================================
## scrap2$Ubicación.de.origen
## scrp2$Ubccón.. SAB/Cldd/E d PT SAB/Post-Prdctn SAB/Pre-Prodctn Total
## ------------------------------------------------------------------------------
## Vrtl Lctns/Scrp 58 13 179 250
## 0.232 0.052 0.716
## ------------------------------------------------------------------------------
## Total 58 13 179 250
## ==============================================================================
Scrap En esta ocasión queremos saber en que día del mes de agosto hubo mayor cantidad de scrap y graficarlo.
scrap_fecha<-aggregate(Cantidad ~ Fecha, data = scrap2, sum)
scrap_fecha
## Fecha Cantidad
## 1 2022-08-01 2.0
## 2 2022-08-02 18.0
## 3 2022-08-03 56.0
## 4 2022-08-04 8.0
## 5 2022-08-05 67.0
## 6 2022-08-06 82.0
## 7 2022-08-08 14.0
## 8 2022-08-09 15.0
## 9 2022-08-10 65.0
## 10 2022-08-11 17.0
## 11 2022-08-12 155.0
## 12 2022-08-13 24.0
## 13 2022-08-15 9.0
## 14 2022-08-16 168.0
## 15 2022-08-17 46.0
## 16 2022-08-19 129.0
## 17 2022-08-20 156.0
## 18 2022-08-22 78.0
## 19 2022-08-23 1.0
## 20 2022-08-24 191.0
## 21 2022-08-25 88.0
## 22 2022-08-26 25.5
## 23 2022-08-27 41.0
## 24 2022-08-29 102.5
## 25 2022-08-30 66.0
## 26 2022-08-31 50.0
ggplot(scrap_fecha,aes(x=Fecha,y=Cantidad))+
geom_point()+
labs(title="Cantidad por día")
Merma Para gráficar el total de kilos de merma por mes primero es necesario obtener la cantidad total de kilos por mes, eso lo hacemos de la siguiente manera.
merma_mes<-aggregate(Kilos ~ Mes, data = merma2, sum)
merma_mes
## Mes Kilos
## 1 ABRIL 18820
## 2 AGOSTO 32100
## 3 ENERO 14560
## 4 FEBRERO 22830
## 5 JULIO 19370
## 6 JUNIO 18280
## 7 MARZO 22470
## 8 MAYO 23410
## 9 SEPTIEMBRE 13586
Una vez que ya tenemos el total por mes podemos graficarlo.
ggplot(merma_mes,aes(x=Mes,y=Kilos, fill=Kilos))+
geom_bar(stat="identity")+
theme_minimal()+
labs(title="Kilos de merma por mes")
Producción de cartón Para la producción de cartón vamos a graficar el tiempo en minutos que tomó el proceso. Para esto necesitamos restar el tiempo de inicio de proceso al de fin de proceso.
carton2<-mutate(carton2, tiempo_proceso = difftime(carton2$fin_de_proceso,carton2$inicio_de_proceso, units = "mins"))
Asi mismo, vamos a sacar el promedio de tiempo que toma el proceso por cliente. De esta forma podremos saber cual cliente consume mas tiempo de produccion de Form en el mes de agosto.
prod_cliente<-aggregate(tiempo_proceso ~ cliente, data=carton2, mean)
prod_cliente
## cliente tiempo_proceso
## 1 HANON SYSTEMS 263.50 mins
## 2 MERIDIAN LIGHTWEIGHT 32.20 mins
## 3 STABILUS 1 21.25 mins
## 4 STABILUS 3 15.20 mins
## 5 STABILUS 3. 15.00 mins
## 6 TRMX 17.50 mins
## 7 VARROC 30.00 mins
## 8 YANFENG 35.00 mins
ggplot(prod_cliente,aes(x=cliente,y=tiempo_proceso))+
geom_point()+
labs(title="Tiempo promedio por cliente")+ theme(axis.text.x = element_text(angle=90, hjust=1))
## Don't know how to automatically pick scale for object of type difftime. Defaulting to continuous.
Scrap
ggplot(scrap2, aes(x = Ubicación.de.origen, y = Cantidad)) +
geom_boxplot()
Merma
ggplot(merma2, aes(x = Mes, y = Kilos)) +
geom_boxplot()
Producción de carton
ggplot(carton2, aes(x = cliente, y = piezas_prog)) +
geom_boxplot()+theme(axis.text.x = element_text(angle=90, hjust=1))
Me parece de gran valor analizar las bases de datos de merma, scrap y producción de Form, ya que podemos analizar y transformar la información disponible con tal de interpretarla y obtener conclusiones de valor que ayuden a la toma de decisiones.