Research Article

Incorporating Variability in Lean Manufacturing: A Fuzzy Value Stream Mapping Approach

Table 2

Data recorded for the value stream.

 Raw material inventory (days)Cutting (s)Buffer 1 (days)Prefitting (s)Buffer 2 (days)Computer stitching (s)Buffer 3 (days)Manual stitching (s)Buffer 4 (days)Assembly (s)Buffer 5 (days)

(1)1.9230.6301.53100.63242.55113.4
(2)1.8201.2281.73170.52992.64962
(3)2.2210.4271.33250.42731.85312.9
(4)2190.6321.53220.33001.95093
(5)1.9220.9291.63190.13100.54932.2
(6)2.3200.6311.43330.43051.15054
(7)2.1190.6311.63310.53110.75081.8
(8)2.1180.5331.63210.52951.75284.2
(9)1.5190.7301.23200.43150.55041.9
(10)2220.9301.43220.43063.55471.8
(11)1.9211.1311.43190.62982.45222.6
(12)2.4200.6301.43150.530735203.1
(13)2190.3301.43280.52912.25030.5
(14)1.2220.8311.43230.22921.25250.7
(15)2211321.430302871.25141.5
(16)2.2160.7271.73140.33032.45301.1
(17)2.5200.9331.33210.22790.55152.6
(18)1.5190.7311.63270.42711.74942
(19)2.1211.1271.63150.52991.85061.2
(20)2.2200.9321.53150.629615122
(21)1.5230.6331.53230.23000.54923.4
(22)2.5200.8311.23240.73110.55061.9
(23)1.7211291.63290.42971.54952.5
(24)2221311.63270.73181.75142.1
(25)2.4200.8281.23150.42931.35182.4
(26)2.2200.8311.53140.23051.25362.6
(27)2.6201.2311.53180.32952.35313.5
(28)2.3200.7281.63260.52951.25193
(29)2200.9311.43250.63092.14921.9
(30)1.7210.9301.63140.52881.94962.7
(31)1.8190.8291.43170.72941.95183.5
(32)2.3171311.23180.63272.35182.8
(33)1.9211301.53330.52771.85271.3
(34)2.6201291.43170.43031.84892
(35)1.6240.6291.63230.43003.25002.4
(36)2.1221.1301.63180.428025052.1
(37)2.1171.2291.33260.32834.45183.4
(38)1.9200.6271.33260.22962.55212.7
(39)2190.7311.43230.52893.35102.4
(40)1.5190.6301.53100.52902.74931.4
(41)2190.9311.33270.23142.65021.6
(42)2.2180.9321.53130.52961.64870.8
(43)2220.6321.63080.529835231.5
(44)2.1190.6301.63250.72862.45063
(45)2.5190.3301.33280.63073.25141.6
(46)2.2190.7291.63140.62872.75100.5
(47)2180.5291.73330.328925101.4
(48)2170.9281.43180.42971.95201.7
(49)2221.4302.03110.43083.15194.5
(50)2.1210.8291.53160.43063.75062.7
(51)2200.7321.53220.629415022
(52)1.7200.8321.43220.33042.45052.1
(53)2.3210.8311.73220.72921.35072.2
(54)1.9201311.63270.13072.55082.1
(55)1.5211341.43200.23012.44882.2
(56)1.6211281.53170.42751.45192.7
(57)2170.8311.73190.73191.35022.5
(58)2.1170.9301.73230.328635061.7
(59)2190.7291.73200.72992.45301.5
(60)1.8180.8301.63110.63041.14942.8
(61)2.3190.9311.53150.42860.94992.4
(62)1.7170.6281.43270.53092.45161.7
(63)1.6180.9291.63200.32852.54942.3
(64)2.2180.6271.53290.42971.15083.3
(65)1.8200.8311.53100.62881.55212.3
(66)2.1220.9291.53250.33051.25161.1
(67)1.9170.3291.43200.32931.65062.7
(68)2.1190.8291.33200.33091.35161.8
(69)2170.5281.33260.42941.95051.4
(70)2171.2311.73280.32892.55091
(71)1.9190.8281.33110.22981.15052.8
(72)1.8210.7301.13220.72902.85181.3
(73)2.4220.7291.63240.22841.25092.3
(74)2.5210.6301.33230.53132.95311.9
(75)2.3190.5281.53100.42830.95161.8
(76)1.2180.8281.53230.43151.95061.5
(77)2.2190.8301.43230.43031.94891.4
(78)2231.4301.43260.73172.25252
(79)2.6220.7271.83240.52901.65222.1
(80)2.1211.2331.73200.52900.85401.2
(81)2191291.73260.52961.75223.1
(82)2.4211321.33250.52902.85051.2
(83)2210.8291.43250.42922.45161.4
(84)1.7190.4291.53200.62960.75114.2
(85)1.8181.1281.53160.52850.85151.1
(86)2190.7291.63150.33000.65161.9
(87)1.9241.1301.33120.43012.35011.2
(88)1.5230.7321.63160.231235192.2
(89)1.3240.9331.53270.73060.54850.9
(90)1.9200.7301.43340.32892.84933.4
(91)2190.8321.63160.43151.45142.3
(92)2.2230.8301.63160.42881.45242.2
(93)2.7180.9291.43230.53042.34912.8
(94)1.9180.3311.23250.52922.45253.5
(95)1.9161311.53160.22971.14961.4
(96)2180.3291.63190.73033.25092.2
(97)2.2240.8321.531902951.15172.1
(98)1.4170.6321.43330.83182.25082.9
(99)2.5180.8321.631803013.14942.4
(100)2.1211301.83110.63081.95171.7
Mean2.0119.840.8030.051.49320.600.43298.061.91510.582.18