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Team #2 Mingang Fu Lin Ben Kuowei Chen. Traditional Manufacturing Processes Product Layout Functional Layout GMLD Lathe department Milling department.

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Presentation on theme: "Team #2 Mingang Fu Lin Ben Kuowei Chen. Traditional Manufacturing Processes Product Layout Functional Layout GMLD Lathe department Milling department."— Presentation transcript:

1 Team #2 Mingang Fu Lin Ben Kuowei Chen

2 Traditional Manufacturing Processes Product Layout Functional Layout GMLD Lathe department Milling department Drilling department Grinding department (a) Product layout (b)Functional layout Introduction

3 (c) Group layout Group Technology Introduction

4 A part family may consist of groups of parts requiring similar and sometimes identical operation processes, materials, and tools. A manufacturing cell is formed by the machines which are required to produce a part family. Goal: form a manufacturing system that consists of cells to maximize the moves of parts processed within the cells, at the same time, to minimize the parts flow between cells Problem Description

5 Example: Problem Description

6 Notations: i and j are machine indexes (i, j = 1, 2,…, N m ). k is a part index (k = 1, 2, 3,…, N p ) c is a cell index (c = 1, 2, 3,…,N c ) is the production volume of part k is available transfer units per trip for part k using a transfer device is the upper limit of cell size is the number of trips made by part k between machines i and j: Where indicates the smallest integer value greater than or equal to w. Variables: Formulation 1

7 Objective function: Constraints: Formulation 1

8 X 11 =1, X 21 =1 X 32 =1, X 42 =1, X 52 =1 X 63 =1, X 73 =1 Formulation 1 - Example N m = 7, N p = 7, N c = 3 Objective function value = 2

9 Formulation 1 - Example X 21 =1, X 51 =1 X 32 =1, X 42 =1, X 62 =1 X 13 =1, X 73 =1 Objective function value = 10

10 m machines and n parts with k cells and there are a total of k(m+n) variables and (m+n) constrains. Formulation 2

11 With the size of problem increases, the model becomes too large to handle. To overcome this problem, we can change the integer programming model with following declaration: Then we define “group efficiency” as following and maximize it.

12 Cell 1, Family 1 X 11 =1, X 21 =1, X 31 =0, …X 71 =0 X 12 =0, X 22 =0, X 32 =1, X 42 =1, X 52 =1, X 62 =0, X 72 =0 X 13 =0, …X 53 =0, X 63 =1, X 73 =1 Y11=1, Y21=1, Y31=0, …Y71=0 Y12=0, Y22=0, Y32=1, Y42=1, Y52=1, Y62=0, Y72=0 Y13=0, …Y53=0, Y63=1, Y73=1 Cell 2, Family 2 Cell 3, Family 3 X1=1, X2=1, X3=2, X4=2, X5=2, X6=3, X7=3; Y1=1, Y2=1, Y3=2, Y4=2, Y5=2, Y6=3, Y7=3 e=17, ev=10, eo=10, Gamma=7/27 Formulation 2 - Example

13 X1=3, X2=1, X3=2, X4=2, X5=1, X6=2, X7=3; Y1=1, Y2=3, Y3=2, Y4=2, Y5=3, Y6=2, Y7=1 e=17, ev=0, eo=0, Gamma=17/17=1, best Formulation 2 - Example

14 Thank you !


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