Post on 26-Feb-2018
7/25/2019 1453913066 724 Production%252BScheduling
1/5
7/25/2019 1453913066 724 Production%252BScheduling
2/5
11. :u;les son algunas de las tcnicas disponibles para manejar operaciones cuello debotella> :u;les de ella no incrementan t&roug&put>
ussell, . #., aylor, -. ., %2''(. perations 4anagement, 3ra edicin, 6pper #addle i1!. :u;les son las tres funciones =ue se realizan normalmente dentro de un departamento
de control de la produccin>1D. "ar ejemplos de cuatro tipos de operaciones %de fabricacin o de ser2. :mo debe cuello de botella de recursos y recursos nonbottlenec0 programarse>2F. :5or =u deber$a transferir los lotes y lotes de proceso ser;n tratados de manera
diferente>2G. :u;les son algunos problemas t$picos =ue participan en la programacin de los
empleados>2B. :?u tcnicas cuantitati
Problems
1. *ames 7ross, c&airman of t&e ollege of s&0os&Hs business department, needs to assign
professors to courses next semester. As a criterion for judging 8&o s&ould teac& eac& course,
5rofessor 7ross re
7/25/2019 1453913066 724 Production%252BScheduling
3/5
ourse
5rofessor #tatistics 4anagement +inance Economics
.. +is&er B' D BD !'
". 7ol&ar F' ' G' FD
M. 9ug GD !' G' '
C.I. ustagi DD G' D DD
2. An Alabama lumberyard &as four jobs on order, as s&o8n in t&e follo8ing table. oday is day 2'D
on t&e yardHs sc&edule. Nn 8&at se=uence 8ould t&e jobs be ran0ed according to t&e follo8ing
decision rules)%a( ++#%b( #5%c( /5%d( E"" %""AE(%e( #/AI%f(
&ic& is t&e best and 8&y> alculate t&e mean flo8 time, mean tardiness, maximum and t&e
number of jobs tardy for eac& se=uence. &ic& &as t&e minimum lateness>
*ob "ue "ate 5rocessing time
A 212
- 2'B 3
2'G 3
" 21' G
3. laims recei
7/25/2019 1453913066 724 Production%252BScheduling
4/5
1'. Emergency N 2' 3
!. *obs processed t&roug& 5ercyHs mac&ine s&op pass t&roug& t&ree operations) milling, grinding,
and turning. &e &ours re=uired for eac& of t&ese operations is as follo8s)
*ob 4illing 7rinding urning
A D 1 !
- 2 2 D
3 2 1
" ' 3 '
E ! 1 2
#e=uence t&e jobs by)
%a( #5%b( #/AI
%c( 4a0e a 7antt c&art for eac& mac&ine and eac& rule. &ic& se=uencing rule 8puld yourecommend>
D. Iim *o&nson, .C., t&e c&arge nurse of t&e antepartum 8ard of ity 9ospital in #tarling ity,
need &elp in sc&eduling t&e nurse 8or0force for next 8ee0.%a( reate an employee sc&edule t&at 8ill meet t&e demand re=uirements and guarantee eac&
nurse t8o days off per 8ee0.%b( e
7/25/2019 1453913066 724 Production%252BScheduling
5/5
11
A.M.
12
A.M
2
P.M.
3
P.M.
4
P.M.
5
P.M.
6
P.M
.
7
P.M
.
8
P.M
.
9
P.M.
10
P.M.
Requerimientos 4 8 5 3 2 3 5 7 5 4 2
Asignado
Total
G. /a siguiente matriz contiene los costos %en dlares( ligados a asignar los trabajos A, -,, " y E a las m;=uinas 1, 2, 3, !, y D. Asigne los trabajos a las m;=uinas de modo =uedisminuya al m$nimo los costos
MquinasTareas 1 2 3 4 5
A 6 11 12 3 10B 5 12 10 7 9
7 14 13 8 12
! 4 15 16 7 9
" 5 13 17 11 12
Not"$El participante debe