Sequencing Mixed Models & Unpaced Lines Active Learning Module 4 Dr. César O. Malavé Texas A&M...
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Transcript of Sequencing Mixed Models & Unpaced Lines Active Learning Module 4 Dr. César O. Malavé Texas A&M...
Sequencing Mixed Models & Unpaced Lines
Active Learning Module 4
Dr. César O. Malavé
Texas A&M University
Background Material
Modeling and Analysis of Manufacturing Systemsby Ronald G. Askin , Charles R. Standridge, John Wiley & Sons,
Manufacturing Systems Engineering by Stanley B. Gershwin, Prentice – Hall,1994, Chapter 2.
Any good manufacturing systems textbook which has detailed explanation on mixed models and unpaced lines.
Lecture Objectives
At the end of this module, the students would be
able to Explain the fundamentals of sequencing mixed models. Explain the basics of unpaced lines. Solve various problems related to these topics.
Time Management
3Assignment
9Unpaced Lines
5Summary
50 MinsTotal Time
10Team Exercise
15Sequencing Mixed Models
5Readiness Assessment Test (RAT)
3 Introduction
Readiness Assessment Test (RAT)
Discuss the basic features of Group Technology Layout and Just-In-Time Layout
RAT – Solution
• Group technology (GT) layout
– Dissimilar machines are grouped into work centers or cells
– Similar to process layout in that cells are designed to perform a specific set of processes
– Similar to product layout in that cells are dedicated to a limited range of products
• Just-in-Time layout
– Flow line similar to an assembly line
• Equipment and workstations arranged in sequence
– Job shop or process layout
• Focus on simplifying material handling
Sequencing Mixed Models
Several different products can be assembled simultaneously on the line.
Products are generally classified as Type 1 – Products with constant ratio of item task
time to average item task time. Type 2 – Products with independent station
requirements.
Sequencing Mixed Models
Let qj → Proportion of product type j, j=1,…,P
tij → Time to perform task I on product type j
Sk → Set of tasks assigned to workstation k
An average feasibility is
kSi
P
jijj Ctq
1
Kk ,....,1
For each item ‘j’, Qj items to be produced
‘r’ be the greatest common denominator of all Qj.
Cycle repeats for r times to satisfy demand.
Repeated cycle consists of Nj = Qj / r
Bottleneck station kb is the station with maximum total work. kb = argmaxkCk
Xjn be 1 if item j is placed in nth position & 0 otherwise
j(n) denotes the type of item placed nth
Sequencing Mixed Models
Selecting the nth item to be entered in the line is to optimize the following problem
Sequencing Mixed Models
n
j Siknji
Nnbk
bnCt1
)(,1maxmin
k
n
h
P
j Sijhij
jn
hjh
j
N
njjn
CSnXt
SN
nNXS
N
nN
NX
k
1 12
11
1
1
)(
Subject to j = 1,.., p ………
n = 1,.., N & j = 1 ,…, P ...
n = 1,.., N & k = 1 ,…, K …
jnX 0 or 1
1
2
3
Step 0 : Initialization. Create a list of all products to be assigned during the cycle. This is List A
Step 1 : Assign a Product. For n = 1,….,N from List A, create a List B of all product types that could be assigned without violating any constraint. From List B select the product type ( j*) that minimizes
Add product type j* to the nth position. Remove a product type j* from A and if n < N, go to 1.
Sequencing Heuristics
n
j Siknji
bk
bnCt1
)(,
Sequencing Example
Bottleneck station is assigned with workload of 68 seconds/cycle. Actual workload by model type for that station is provided in the table.
Model Sales % Time
Red Z 250 16.7 72
Blue Q 250 16.7 68
Black R 500 33.3 68
RWB American
500 33.3 66
Example – Solution
1 Red, 1 Blue, 2 Black, 2RWB per cycle.
Set s1 = s2 = 0.9
Stage Red Z Blue Q Black R RWB American
Assigned
1 1/6, 4 1/6, 0 1/3, 0 1/3, 2 Black
2 1/3, 4 1/3, 0 -1/3, 0 2/3, 2 Blue
3 1/2, 4 - 0, 0 1, 2 RWB
4 2/3, 2 - 1/3, 2 1/3, 4 Red
5 - - 2/3, 2 2/3, 0 RWB
6 - - 1, 0 - Black
Team Exercise
Three products are produced on the same line. One half of the demand is for A, the other half is evenly split between B & C. Find a repeating cycle without building unnecessary inventories or shortages. The following table gives the bottleneck machine times.
Model Time
A 100
B 95
C 105
Exercise – Solution
Repeating Cycle : NA = 2, NB = 1, NC = 1, N = 4
Let Max Inventory(±) < 1
Stage A B C Cum.Time (Excess)
Assignment
1 +0.5, 0 +0.75, -5 +0.75, +5 100 (0) A
2* +1.0, 0 +0.5, -5 +0.5, +5 195 (-5) B
3 +0.5, -5 - +0.25, 0 300 (0) C
4 0, 0 - - 100 (0) A
* Assume A undesirable due to inventory accumulation
Unpaced Lines
Let
K - number of stations
C - Cycle times
Sk - the sum of task times for tasks assigned to station k.
kb - bottleneck machine
All the times are deterministic
Unpaced Lines
Let us divide the line into 2 lines as 1 to kb & kb+1 to K
Station 1 to k-1 work faster than kb
Each item has to spend skb to avoid the inventory pile
at each machine
Throughput time for Line 2 is sum of all station times.
Combining the lines, production time in system is
K
kk kbkbbssk
1
Unpaced Line - Illustration
Let S1 = 2, S2 = 4, S3 = 3
Item Enter 1 Leave 1 Enter 2 Leave 2 Enter 3 Leave 3 Flow Time
1 0 2 2 6 6 9 9
2 5 7 7 11 11 14 9
3 10 12 12 16 16 19 9
4 15 17 17 21 21 24 9
5 20 22 22 26 26 29 9
Assignment
Find a repeating cycle for entering product onto the mixed model line. Demand and the bottleneck process times are shown below.
Product Demand Time
A 1000 45
B 500 40
C 750 45
D 500 50
E 250 55
Summary
Assembly lines have greatly enhanced production because one objective : Producing good product
Advances in computational speed makes it possible to find optimal solutions for many problems.
Mixed model cases are handled by unpaced lines, has advantage of allowing variability in assembly times.
Paced lines avoid need to remove and replace the products on the transport mechanism.
Little work has been done on modeling the full range of practical consideration in assembly line design.