This document discusses production planning and scheduling. It begins by describing characteristics of different production processes like batch, line, and job shop flows. It then discusses challenges like avoiding downtime and managing bottlenecks. Material requirements and inventory are discussed as predictable or unpredictable depending on the process. The rest of the document outlines frameworks for production planning including Anthony's hierarchy of planning horizons from strategic to tactical to operational. Capacity planning, master production scheduling, and capacity control are also mentioned.

1. Coordinates Multistage Coordinates
diskrit repetitif
raw operation raw material Proses flow : No
materials, Batch Flow / Single bottleneck
Bottelneck component, operation pattern
: Generally Line Flow
known and Contoh : Contoh :
Perakitan Material
Operation stationary Assembly mobil
pabrik soft Concern to requirement :
Challenge : Process drink, myk smooth
difficult to
Avoiding goreng Material flow
requirement predict
downtime Contoh pabrik : more
pupuk predictable
Contoh : pabrik Gear,
Bottelneck : Material Characteristic Job dan analogi masak di
Known and requirement of Different Shop / dapur
stationary : predictable coordinates
Production few jumble
Continous Process components Moving
Material Process and material,
Coordinates items etc bottleneck
requirement :
Very predictable at Single bottleneck
Short term Assembly
scheduling complicated,
operation Emanate from MPS
The bottom line is How to Material (timing&quantities) crucial task
Inventory raw of all component
material : Large manage resource input or
Planning
and material
Job shop
process flow with the needs Embrace 
Anthony (1965) Hierarchy Anthony’ straightforward
Production
Managerial decision An Overall framework for s Demand Teknik forcasting
interact with all production Planning and Hierarch management demand
functionals; cost,
Scheduling y of continuous process
quality, delivery, penting utilize
flexibility, & Key point  production Decision Establish production cap dan kesamaan
competition
decision consistent in other And Aggragate rates, workforce size & produk dan aliran
Structural decision functional in the
Managerial
Integrate planning inventory levels, serve proses mudah
 to SCM  organizations Decision  lead operatio to Order 6-24 months aggregate
production plan decision in
and Scheduling production to Frame work nal level
Master
Take aggregate u/ continuous
6 months – 2 Strategic Production plan & process use
years planning, Perkiraan keb. Capacity Scheduling disaggregate available cap @
(Long-range) Cap ( rough cut
basic production done by Seniors
Planning bottleneck stage
capacity cap check)  apply MPS
constraints in Mgt
, very aggregate The Monitor output suit to planned
order based on MPS
Framework Capacity levels & correction to error,
Projected demand
& associate material Short- Control check the input either. To
pattern. Decision encounter problem;, overtime,
might be adjusted Tactical plan. Open to Range
from dimension : suggestion, use finite Scheduling labour tranfer, jobs routing,etc.
(med-range) done
labor size, by Mid & Top loading technique
overtime working,
number of shift, Mgt, aggregate
production rate,
inventory, and
shipping
Operational
Day to day operational (short-range) done
flexibiliity by Lower&
Nonmanagerial ,
very detail
Meet customer
requirement

2. Agile Manufacturing System
JIT Design to Order
Nilai tambah material informasi Flexible Manufacture System Constraint Management
Make to Demand Continuous
Line Flow Flexible Process Control
Make to Stock
Jobshop / Jumble Small batch Agile Control
Tasks Flows Storage System
Assemble to Order
Project Repetitif Continuous Process
Control
Make to Order
Proses JIT
PPO
manufaktur Manufacturing Resource Planning
3 Kategori
Respons consumen demand
Project Management
Design
Konsep Dasar Sistem Produksi Process
Strategic
Memahami Sistem Delphi
Manufaktur Modern (CH1)
Pendapat eksekutif
Metode kualitatiff
Survey Pasar
Manajemen Permintaan
(CH3)
Metode kuantitatif Kausal Analisa Regresi
Input Proses Output Pelayanan Peralaman
Pesanan (Pasti) (Tidak pasti)
Teknik Moving Average
Peramalan
Varialsi Musiman
Arima (Box-Jenkins)
Independent Regular / terpola
All Proses Barang Deret Waktu Perkiraan Trend  Regresi
related Transfor atau
resour Exponential Smoothing
ces masi jasa
Pemantauan angka ramalan
Dependent Mengelompok/lumpy
Exponential Smoothing trend