Model of Spine Configuration Assembly Line Design for a Product Family By Dida D Damayanti (ITTelkom, Indonesia) Isa Setiasyah Toha (ITB, Indonesia) Outline Introduction Sub-lines Networking Model of spine assembly line design Conclusion INTRODUCTION Product Family PLATFORM VARIANT PRODUCTS Produk A Produk B MIXED-MODEL ASSEMBLY LINE Produk C The Drawbacks of Mixed-model line Increasing variation and assembly operations, caused: Increasing in line management complexity Decreasing in line efficiency Decreasing in line flexibility Spine Assembly Line A layout consisting of a main aisle used as a designed skeleton with some cells located in other sides [Langevin, et. al, 1994; Benjafar, et. al, 2006] Designed to connect some sub-assembly lines as the modular structure of a product family Variation and line length problem in mixed model assembly line, can be solved by taking the benefits of assembly operation commonality in a product family [He and Kusiak, 1997]. Objective Develop a model of spine assembly line design based on the modular structure of a product family SUB LINES NETWORKING Family Product Subassemblies Common subassemblies (CS): basic subassembly Unique subassemblies (US): used in a certain variant products Variant subassemblies (VS): have a similar function, but may be different in shape or quality to differentiate each variant product Example of Product Family Architecture VS CS US-1 US-2 Combined Precedence Diagram VS US-2 1 6 4 Start CS 2 7 3 US-1 5 8 Finish Connection Between Lines St 1 St 2 St 3 US St 1 St 2 St 3 St 4 -2 Lin e St 1 1 CS Line 2 St 1 St U ine L S-1 St 2 2 4 St 3 3 5 VS Line St 4 6 7 8 MODEL OF SPINE ASSEMBLY LINE DESIGN Spine Assembly Line Modelling Process V Makespan CE Q C C B q q E b 1 b b b Model of VS line design • • • • It is a mixed model assembly line The line is controlled as unpaced line The MPS is sequenced by the STPT rule. Decision variables of the model are assembly operations allocation, number of workstations, and time between minimal part set (MPS). Model of VS line design • The objective function: to minimize the total operational costs, consist of operation costs, idle time cost in each workstation, and waiting cost for each product. M M P Min. TOE βyk k 1 k 1 i 2 f ik f D f δ M dum k 1k P k 1 i 2 ik Dλ • The model constraints: allocation constraint, precedence constraint, station time constraint, cycle time constraint, idle time and waiting time constraint, and workstation constraint. Model of VS line design Objective function: M M P Min. TOE βyk fik f k 1 k 1 i 2 D f δ M dum k 1k P k 1 i 2 ik Dλ (1) Constraints: M x k 1 1 , j=1,2,...N jk M k .x hk k 1 V M k .x jk , j=1,2,...N and h Gj b 1 j 1 (3) k 1 N w (2) bj x jk ib aik 0, i = 1,2,...,P and k=1,2,...M (4) akdum a1k , k=1,2,...M (5) Model of VS line design P dum f 1k (aik fik ) f1k f k D Q C , i 1 k=1,2,...M fi1 0, i = 1,2,...,P k 1 a s 1 1s f1k 0, (8) i 1 a i r ( k 1) r 1 k=2,...M f r ( k 1) ark f rk ik aik , r 1 k=2,...M, r = 1,...,i and i = 2,...,P dum ( k 1) a f dum ( k 1) (9) P P i 1 i 1 ai ( k 1) fi ( k 1) aik fik f kdum k=2,...M and i = 2,...,P N x j 1 jk (6) (7) Nyk 0, k=1,2,...M ys ys 1 0, s=1,2,...(k-1) and k=2,...M x jk , yk , ib 0,1 , j=1,2,...N and k=1,2,...M (10) (11) (12) (13) Model of CS line design • CS line is a single assembly line and it is assumed that buffer is always available in CS line. • The objective function of CS line design: to minimize the total operational costs, consist of operation costs, idle time cost in each workstation, and waiting cost to VS line. M M k 1 k 1 Min. TOS βyk f k Qδ Qλ • The model constraints: allocation constraint, precedence constraint, idle time constraint, cycle time and waiting time constraint, and workstation constraint. Model of US line design • US line is a single assembly line, its demand depends on the variant using the US. • The objective function of US line design: to minimize the total operational costs, consist of operation cost, idle time cost in each workstation, waiting cost in the first production and waiting cost to VS line. M M M k 1 k 1 k 2 Min. TOS βyk f k Qδ (k 1)dδyk Qλ • The model constraints: allocation constraint, precedence constraint, idle time constraint, cycle time and waiting time constraint, and workstation constraint. Numerical Example • Numerical example is provided to illustrate the operational of the model. • Data Product Family A: demand, cost, and combined precedence diagram i 1 2 3 Variant Product V1 V2 V3 Total Demand 100 50 50 200 Numerical Example 11,11,11 1 7,7,7 4,4,4 2 6 3,3,3 8,8,8 3 4 CS 10,10,10 0,4,6 11,11,11 9 14 7 5,5,5 11,8,13 7,6,9 6,10,0 11 18 15 5 6,4,7 6,6,6 12 8 10,10,12 10 Start 9,9,0 10,10,0 7,7,0 16 20 21 5,5,0 15,15,0 19 18 12,12,0 17 US VS a,b,c n : Assembly operation n, a,b,c: operation time V1, V2, dan V3 Finish Numerical Example St1 13,12,12,10 St2 8 VS St1 13 2 St2 14 5 1 7 St1 17 17 13 14 15 St3 14 6 9 St2 17 St3 15 20 19 16 9,13,13,16 11 4 3 US St4 10 12 Eff-1 CS St3 19,11,11,12 12,10,10,10 21 18 Numerical Example CS 1 2 3 VS 1 1 US 2 2 3 3 4 Discussion • Spine assembly line: – Shorten a mixed-model (VS) assembly line: lessen complexity – More flexible to variation changes – Increase the operation efficiency: mass production (CS Line), adjusted cycle time (US) – Support the issue of mass customization, postpone for differentiation, and reconfigurable assembly line Conclussion • The spine assembly line for a product family consist of common subassembly (CS) lines, unique subassembly (US) lines, and a variant subassembly (VS) line. • The spine assembly line is designed in three sequential stages: design of VS line, design of CS and US lines, and connect CS and US to VS to make the spine assembly line configuration. • By this line configuration, the complexity of the mixed model line is declined. 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