Material handling and storage systems planning anddesign are subsets of facilities planning and design.. In the facilities design process the material ment determines the ¯ow paths.. The
Trang 1224 A Hammami, R Gauvin, F Trochu Compos Pt A
Appl Sci Manuf 29: 603, 1998
225 A Hammami, R Gauvin, F Trochu, O Touret, P
Ferland Appl Compos Manuf 5: 1161, 1998
226 F Trochu, P Ferland, R Gauvin Sci Eng Compos
Mater 6: 209, 1997
227 YM Ismail, GS Springer J Compos Mater 31: 954,
1997
228 W Chang, N Kikuchi Int J Comput ¯uid 7: 49, 1996
229 S Ranganathan, FR Phelan, SG Advani Polym
Compos 17: 222, 1996
230 WB Young, MT Chuang J Compos Mater 29: 2192,
1995
231 HGH van Melick, GAAV Haagh, FN van der Vosse,
T Peijs Adv Compos Lett 7: 17, 1998
232 LW Hourng, CYChang J Reinf Plast Compos 12:
237 CYChang, LW Hourng Polym Eng Sci 38: 809, 1998
238 FR Phelan Polym Compos 18: 460, 1997
239 DV Rosato, DV Rosato, eds Blow Molding
Handbook Munich: Hanser, 1989
240 SI Belcher In: SL Aggarwal, ed Comprehensive
Polymer Science, vol 7 Oxford: Pergamon, 1989, p
489
241 SN Lee Blow Molding Design Guide Munich:
Hanser, 1998
242 H Belofsky Plastics: Product Design and Process
Engineering Munich: Hanser, 1995
243 GPM Schenkel Int Polym Process 3: 3, 1988
244 C Hancock British Patent 11,208, 1846
245 ST Armstrong U.S Patent 8180, 1851
246 WB Carpenter U.S Patent 237,168, 1881
247 DE Mouzakis, J Karger-Kocsis J Appl Polym Sci 68:
561, 1998
248 N Sheptak, CE Beyer SPE J 21: 190, 1965
249 NR Wilson, ME Bentley, BT Morgen SPE J 26: 34,
1970
250 KC Chao, WCL Wu SPE J 27: 37, 1971
251 ED Henze, WCL Wu Polym Eng Sci 13: 153, 1973
252 G Ajroldi Polym Eng Sci 18: 742, 1978
253 A Dutta, ME Ryan J Non-Newt Fluid Mech 10: 235,
260 N Orbey, JM Dealy Polym Eng Sci 24: 511, 1982
261 JM Dealy, N Orbey AIChE J 31: 807, 1985
262 PL Swan, JM Dealy, A Garcia-Rejon, A Derdouri.Polym Eng Sci 31:L 705, 1991
263 JL White, A Agrawal Polym Eng Rev 1: 267, 1981
264 MR Kamal, D Kalyon, V Tan Polym Eng Sci 22: 287,1982
265 MR Kamal, D Kalyon Polym Eng Sci 23: 503, 1983
266 KJ Choi, JE Spruiell, JL White Polym Eng Sci 29:
269 HG de Lorenzi, HF Nied, In AI Isayev, ed Modeling
of Polymer Processing Munich: Hanser, 1991, p 117
270 HG deLorenzi, CA Taylor, Int Polym Process 8: 365,1993
271 WR Haessly, ME Ryan Polym Eng Sci 33: 1279, 1993
272 RW Diraddo, Garcia-Rejon Polym Eng Sci 34: 1080,1994
273 K Hartwig, W Michaeli In: SF Shen, P Dawson, eds.Simulation of Materials Processing: Theory, Methodsand Applications Rotterdam: Balkema, 1995, p 1029
274 P Wriggers, RL Taylor Eng Comput 7: 303, 1990
275 N Santhanam, H Himasekhar, KK Wang In: SFShen, P Dawson, eds Simulation of MaterialsProcessing: Theory, Methods and Applications.Rotterdam: Balkema, 1995, p 1059
276 ME Ryan, A Dutta Polym Eng Sci 22: 569, 1982
277 ME Ryan, A Dutta Polym Eng Sci 22: 1075, 1982
278 A Dutta, ME Ryan Polym Eng Sci 24: 1232, 1984
279 AJ Poslinski, JA Tsamopoulos AIChE J 36: 1837,1990
280 B Debbaut, B Hocq, JM Marchal SPE ANTEC 41:
908, 1995
281 B Debbaut, T Marchal SPE ANTEC 43: 802, 1997
282 A Wineman J Non-Newt Fluid Mech 6: 111, 1979
283 YOtsuki, T Kajiwara, K Funatsu Polym Eng Sci 37:
1998, p 483
287 S Tanoue, T Kajiwara, K Funatsu, K Terada, YYamabe Polym Eng Sci 36: 2008, 1996
Trang 2288 A Cohen, JT Seitz Int Polym Process 6: 51, 1991.
289 M Bellet, JF Aggasant, A Rodriguez-Villa In: J
Huetink, FPT Baaijens, eds Simulation of Materials
Processing: Theory, Methods and Applications
Rotterdam: Balkema, 1998, p 489
290 RB Bird, RC Armstrong, O Hassager Dynamics of
Polymeric Liquids New York: Wiley, 1987
291 AC Eringen Nonlinear Theory of Continuous Media
New York: McGraw-Hill, 1962
292 AD Green, JE Adkins Large Elastic Deformation
Oxford: Oxford University Press, 1960
293 OC Zienkiewicz The Finite Element Method
London: McGraw-Hill, 1977
294 JT Oden Finite Elements of Nonlinear Continua
New York: McGraw-Hill, 1972
295 HG deLorenzi, HF Nied Comput Struct 26: 197,
1987
296 LR Whittington, Dictionary of Plastics Lancaster:
Technomics, 1978
297 TJ Lovegrove, U.S Patent 48,022, 1865
298 FAVoelke U.S Patent 803,799, 1905
299 GS Baker, GW Perks, U.S Patent 947,405, 1910
300 JJ Jensen, U.S Patent 1,812,242, 1931
301 BL Zousman, EJ Finnegan Chocolate and Cocoa In:
RE Kirk, DE Othmer, eds Encyclopedia of Chemical
Technology, vol 6 1979, p 17
302 PT Dodge Rotational Molding In: II Rubin, ed
Handbook of Plastic Materials and Technology
New York: Wiley, 1990
303 RL Powell U.S Patent 1,341,670, 1920
304 JH Emery U.S Patent 1,373,211, 1921
305 D Fauerbach U.S Patent 1,784,686, 1930
306 WH Campbell U.S Patent 1,792,813, 1931
307 W Kay U.S Patent 1,998,897, 1935
308 GW Trowbridge, U.S Patent 2,035,774, 1936
309 GR Kelm U.S Patent 2,262,431, 1941
310 GE West, U.S Patent 2,042,975, 1936
311 RP Molitor U.S Patent 2,629,134, 1953
312 S Zweig Rotational Molding of Plastisols Mod Plast
33: 123, 1953
313 RE Gulick The Economics of Rotomolding Powdered
Polyethylene Mod Plast 39: 102, 1962
314 RV Jones, RL Rees Applications of Polyole®n
Powder SPE J June: 80, 1967
315 RO Ebert Progress in Powder Molding, Plast Technol
12: 58, 1966
316 PT Dodge Rotational Molding In: Encyclopedia
of Polymer Science and Engineering, New York:
Wiley, vol 14, 1988, p 659
317 PF Bruins, ed Basic Principles of Rotational Molding
New York: Gordon and Breach, 1971
318 D Ramazatti Rotational Molding In: E Miller, ed
Plastic Product Design Handbook New York:
Marcel Dekker, 1983, chap 4
319 RJ Crawford, ed Rotational Moulding of Plastics
New York: Wiley, 1992
320 PT Dodge Materials for Rotational Molding Denver,CO: Plastics Design Forum, 1994
321 G Bell The Engineers Guide to DesigningRotationally Molded Plastic Parts Chicago, IL:Association of Rotational Molders, 1982
322 JL Throne Polym Eng Sci 20: 899, 1980
323 E Harkin-Jones, RJ Crawford Adv Polym Technol15: 71, 1996
324 E Harkin-Jones, RJ Crawford SPE ANTEC 44: 1148,1998
325 E Harkin-Jones, RJ Crawford Polym Eng Sci 36: 615,1996
326 E Harkin-Jones, RJ Crawford Plast Rubber ComposProcess Appl 24: 1, 1995
327 E Harkin-Jones, RJ Crawford Plast Rubber ComposProcess Appl 23: 211, 1995
328 JL Throne Polym Eng Sci 12: 335, 1972
329 JL Throne Polym Eng Sci 16: 192, 1976
330 RJ Crawford, JA Scott Plast Rubber Process Appl 5:
239, 1985
331 K Iwakura, YOhta, CH Chen, JL White Int PolymProcess 4: 163, 1989
332 S Bawiskar, JL White Int Polym Process 10: 62, 1995
333 L Xu, RJ Crawford Plast Rubber Compos ProcessAppl 21: 257, 1994
334 RC Progelhof G Cellier, JL Throne, SPE ANTEC 28:
337 L Xu, RJ Crawford J Mater Sci 28: 2067, 1993
338 MA Rao, JL Throne Polym Eng Sci 12: 237, 1972
339 MS Sohn, JL Throne Adv Polym Technol 9: 181,1989
340 JL Throne, MS Sohn Adv Polym Technol 9: 193,1989
341 K Iwakura, YOhta, CH Chen, JL White Int PolymProcess 4: 76, 1989
342 YOhta, CH Chen, JL White Kunststoe 79: 1349,1989
343 CH Chen, JL White, YOhta Polym Eng Sci 30: 1523,1990
344 CH Chen, JL White, YOhta Int Polym Process 6:
212, 1991
345 S Bawiskar, JL White Polym Eng Sci 34: 815,1994
346 Sj Liu, CYHo SPE ANTEC 44: 1156, 1998
347 PJ Nugent, RJ Crawford, L Xu Adv Polym Technol11: 181, 1992
348 M Kontopoulou, M Bisaria, J Vlachopoulos IntPolym Process 12: 165, 1997
349 RJ Crawford, PJ Nugent Plast Rubber ComposProcess Appl 17: 33, 1992
350 RJ Crawford J Mater Process Technol 56: 263,1996
Trang 3351 RJ Crawford, P Nugent, W Xin Int Polym Process 6:
56, 1991
352 MJ Oliveira, MC Cramez, RJ Crawford J Mater Sci
31: 2227, 1996
353 MA Rao, JL Throne Polym Eng Sci 12: 237, 1972
354 JL Throne Polym Eng Sci 12: 335, 1972
355 JL Throne Polym Eng Sci 16: 257, 1976
356 RC Progelhof, JL Throne Polym Eng Sci 16: 680,
1976
357 S Bawiskar, JL White Int Polym Process 10: 62, 1995
358 RJ Crawford, P Nugent Plast Rubber Process Appl
371 F Kreith, M Bohn Principles of Heat Transfer New
York: Happer International, 1986
372 MN Ozisik Heat TransferÐA Basic Approach New
376 J Florian Practical Thermoforming: Principle and
Applications New York: Marcel Dekker, 1987
377 G Gruenwald Thermoforming: A Plastics Processing
Guide Lancaster: Technomic, 1987
378 MJ Stephenson, ME Ryan Polym Eng Sci 37: 450,
1997
379 M Mogilevsky, A Siegmann, S Kenig Polym Eng Sci
38L: 322, 1998
380 M Hou Compos Pt A Appl Sci Manuf 28: 695, 1997
381 K Friedrich, M Hou Compos Pt A Appl Sci Manuf
386 YYoussef, J Denault Polym Compos 19: 301, 1998
387 A Pegoretti, A Marchi, T Ricco Polym Eng Sci 37:
1045, 1997
388 CH Suh, JL White Polym Eng Sci 36: 2188, 1996
389 HF Nied, CA Taylor, HG deLorenzi Polym Eng Sci30: 1314, 1990
390 HG deLorenzi, HF Nied, CA Taylor J Press VesselTechnol Trans ASME 113: 102, 1991
391 CA Taylor, HG deLorenzi, DO Kazmer Polym EngSci 32: 1163, 1992
392 WN Song, FA Mirza, J Vlachopoulos J Rheol 35: 92,1991
393 WN Song, FA Mirza, J Vlachopoulos Int PolymProcess 7: 248, 1992
394 K Kouba, O Bartos, J Vlachopoulos Polym Eng Sci32: 699, 1992
395 F Doria, P Bourgin, L Coincenot Adv Polym Technol14: 291, 1995
396 P Bourgin, I Cormeau, T SaintMatin J Mater ProcessTechnol 54: 1, 1995
397 GJ Nam, HW Ree, JW Lee, SPE ANTEC 44: 690,1998
398 D Laroche, F Erchiqui SPE ANTEC 44: 676, 1998
399 M Rachik, JM Roelandt In: J Huetink, FPT Baaijens,eds Simulation of Materials Processing: Theory,Methods and Applications Amsterdam: Balkema,
1998, p 447
400 A Rodriguez-Villa, JF Agassant, M Bellet In: SFShen, P Dawson, eds Simulation of MaterialsProcessing: theory, Methods and Applications.Amsterdam: Balkema, 1995, p 1053
401 FM Schmidt, JF Agassant, M Bellet, L Desoutter JNon-Newt Fluid Mech 64: 19, 1996
402 MH Vantal, B Monasse, M Bellet In: SF Shen, PDawson eds Simulation of Materials Processing:Theory, Methods and Applications Amsterdam:Balkema, 1995, p 1089
403 S Wang, A Makinouchi, M Okamoto, T Kotaka, TTosa, K Kidokoro, T Nakagawa In: J Huetink, FPTBaaijens, eds Simulation of Materials Processing:Theory, Methods and Applications Amsterdam:Balkema, 1998, p 441
404 W Michaeli, K Hartwig Kunststoe-Plast Europe 86:
Trang 4407 DD Joye, GW Pohlein, CD Denton Trans Soc Rheol
17: 287, 1973
408 J Meissner, J Hosettler Rheol Acta 33: 1, 1994
409 B Debbaut, O Homerin SPE ANTEC 43: 720,
413 SJ Liu Polym Compos 18: 673, 1997
414 SW Hsiao, N Kikuchi J Eng Mater Technol TransASME 119: 314, 1997
415 J Schuster, K Friedrich Compos Sci Technol 57: 405,1997
416 MA Thrasher J Reinf Plast Compos 16: 1363,1997
Trang 5Material handling and storage systems planning and
design are subsets of facilities planning and design
Material ¯ow has both internal and external eects
on a site There are in¯uences for the site plan and
the operations space plan Conversely, the material
handling system impacts the facility plans, as
illu-strated inFig 1
In the facilities design process the material
ment determines the ¯ow paths The material
move-ment origins and destinations are layout locations
The storage locations and steps are eects of the
opera-tions strategy and thus the organization structure A
lean manufacturing system may have material delivery
direct to point of use replenished daily and a pull
sys-tem cellular manufacturing process that produces to
order with a TAKT* time of 5 min Such a system
could have inventory turns of 300 per year A more
traditional system would have a receiving inspection
hold area, a raw material/purchased parts warehouse,
a single shift functional layout batch manufacturing
system, inspection and test with 90% yield, a separate
packing department, and a policy of one month's
®n-ished goods inventory The space plans for the tional system should be very dierent from the leanapproach and so should the material handling and sto-rage plans and systems A ``pull '' system also indicatesunnecessary material in the system If it does not pull itshould not be there
tradi-Material handling determines the capacity of a ufacturing plant From the receiving dock to the ship-ping platform the material ¯ow routes are thecirculation system Flow restrictions can act as capa-city limiters The material handling and storage plandetermines handling and storage methods, unit loadsand containerization to support the operations andbusiness strategy
man-The product volume plotÐthe plot of tities of materials by product typically shows a nega-tive exponential distribution, the important few andthe trivial many Pareto distribution The plot can beoverlaid with the most suitable production mode asillustrated in the product volume (PV)/mode curve,
Trang 6These seven steps provide an understanding of the
material ¯ows in the facility The calibrated ¯ows are
used to develop anity ratings These initial steps are
also the basis for subsequent evaluation of layout
options and material handling system design
Step 1 Classify Materials Most manufacturing and
warehouse operations have a large variety of products
and materials Situations with 20,000 or more distinct
items are not unusual To analyze ¯ow or design amaterial handling system around so many individualitems is not practical Classi®cation reduces materials
to a manageable number of items so that the classesthen become the basis for determining ¯ow rates, con-tainers, and handling equipment
The initial classi®cations stratify materials for mon handling methods and container design Weight,size, shape, ``stackability,'' and special features are
Figure 3 Material varieties
Trang 7de®ning criteria Figure 5shows a classi®cation based
on handling characteristics for a four-drawer cabinet
In addition, similarities in product, process
sequence, and raw material are bases for grouping
items that move over the same routes
Step 2 Identify Flow Units Material ¯ow is measured
in units of material over a unit of time and the analyst
chooses appropriate units for both parameters The
time unit is usually a matter of convenience and
depends largely on data availability Typical examples
are cases per hour, tons per day, pallets per week
Selection of the material ¯ow unit is more
proble-matic Where only one type of material moves, the
selection is straightforward, for example, the bushel
for a grain mill But few facilities have only a single
material or material type A wide variety of size, shape,
weight, and other handling characteristics must be
con-sidered, as illustrated earlier in Fig 3 For example,
integrated circuits are tiny, delicate, expensive, and
highly sensitive to electrostatic discharge (ESD), but
the operations that use integrated circuits also use
large metal cabinets Between these extremes is a
wide range of diverse items to move
Various items of the same size may have dierent
handling requirements and costs A resistor and an
integrated circuit (IC) are very close in size But
resis-tors are moved in bulk, in ordinary containers, and
without special precautions The individual IC is sitive to ESD It requires an enclosed, conductive andexpensive container It may have a special tube or bag
sen-to further protect it Humans may sen-touch it only if theywear a grounded wrist strap and a conductive smock.Individual items or materials are seldom handledseparately Most items are in boxes, tote boxes, car-tons, bundles, bales or other containers These contain-ers then are what need to be handled But layout designrequires a standard unit of ¯ow This is the equivalent
¯ow unit (EFU) which should have the following acteristics:
char-Applicable to all materials and routesEasily visualized by the users
Independent of the handling method
The equivalent ¯ow unit should account for weight,bulk, shape, fragility, value, special conditions andother factors:
Weight is a common unit for most materials and isusually available in a central database
Bulk, or density, relates weight and size Overalldimensions determine bulk density
Shape impacts handling diculty Compact regularshapes such as boxes stack and handle mosteasily Round and irregular shapes stack with
Figure 4 Material ¯ow analysis
Trang 8Tree trunks may be received and newsprint shipped.
Bulk liquids and gases may be received but
pharma-ceutical intravenous packs or bottles of tablets
Wood pulp and naphtha are received, chemicals,
textiles, and plastics are shipped
What seems a minor change in the item sometimes
brings a dramatic change in the equivalent ¯ow units
Figure 6 is a schematic ¯ow diagram that illustrates
changes in ¯ow intensity as the material is processed
for a four-drawer cabinet
Figure 7is a river diagram illustrating material ¯ow
for all products in an entire plant The diagram shows
how ¯ow intensity increases after the material ispainted and decreases after the parts are assembled.Painted sheet metal parts are easily damaged and di-cult to handle Once assembled and packaged, the unitsbecome protected, compact, and stackable and their
¯ow in equivalent ¯ow units decreases dramaticallyfor the same quantity and weight
When a decision is made on an equivalent ¯ow unit,convenience and familiarity often take precedence overaccuracy The primary purpose of this analysis is torate ¯ow intensities into one of four categories Weuse the vowel letter rating system A, E, I, and O.Accuracy of the order of 20% is therefore sucient.For this level of accuracy, the following procedure isused:
Review potential data sources
Interview production and support personnel
Figure 6 Equivalent unit ¯ow analysis
Trang 9represent the largest volumes and are representative of
others, data from the top 20±30% should be used
Where groups of products have similar processes
and ¯ows, a representative item might portray an
entire group When the product mix is very large and
diverse, random sampling may be appropriate Figure
9 illustrates data selection guidelines
Process charts map the sequence of processes
graph-ically; routing sheets often have much the same
infor-mation in text form With either source, each operation
must be examined to determine in which SPU thatoperation will occur This determines the route Fromthe product volume analysis or other information, theraw ¯ow is determined which is then converted toequivalent ¯ow units, as illustrated inFig 10
This procedure is used directly if there are only afew products and where processes and ¯ows are similarand a single item represents a larger product group.For large numbers of items, process charts with arandom sample are used
Figure 8 Equivalent ¯ow units
Figure 9 Data selection guidelines
Trang 10size, type, and class codes uses the same process and
follows the same route Field 8 is the number of
equiva-lent ¯ow units per day for each route and size These
subtotals are the basis for subsequent anity ratings,
stang, and for material-handling-system design
Other possible ®elds might contain information on
the time required per trip, distance for each route and
speed of the equipment From this the database
man-ager can derive the numbers and types of equipment
and containers required
Step 6 Calibrate Flows This step includes the lation of material ¯ow from each route origin to eachdestination It also includes conversion of calculated
calcu-¯ows to a step-function calibration for use in layoutplanning The calibration scale can be alphabetical ornumerical The vowel rating convention AEIO is usedhere The intensities of ¯ow distribution may indicatethe important few and trivial many The calibrationscan be used for relative capacity of material-handling-system selection
Figure 11 Material ¯ows from±to chart
Trang 11For the calibration the ¯ow rates are ranked on a
bar chart, as shown inFig 13
The breakpoints are a matter of judgment and
should be made near natural breaks Experience from
a range of projects suggests that the following
propor-tions are a useful guideline:
A 5±10%
E 10±20%
I 20±40%
O 40±80%
Transport work Total material handling cost is
roughly proportional to the product of ¯ow intensity
and distance In physics force multiplied by distance
de®nes work For layout planning, material ¯ow
inten-sity I multiplied by distance D equals ``transport
work'' TW:
TW DI
In an ideal layout all SPUs with anities would be
adjacent Since an SPU occupies ®nite space, proximity
but not necessarily adjacency is possible Placing two
particular SPUs together forces other SPUs fartheraway The theoretical optimum relative locationsoccur with equal transport work on all routes wheretotal transport work is at the theoretical minimum.Transport work, then, is a metric for evaluating thelayout For evaluation, transport work is calculatedalong every path on a layout and the summationmade Layout options may be evaluated by comparingtheir total transport work
Transport work is useful in another way InFig 14
distance is plotted on the horizontal axis and ¯owintensity on the vertical axis Each route on the layoutplots as a point As mentioned above, the ideal layoutwould have constant (or iso-) transport work, such acurve being a hyperbola Routes with low intensityhave long distances; those with high intensity, shortdistances The product of distance and intensity foreither is then equal
A ``good'' layout, from strictly a material ¯ow spective, is one which has most or all points close tothe same hyperbolic isotransport work curve Routeswhich are signi®cantly distant from the hyperbola indi-cate an anomaly in the layout
Figure 12 Material ¯ow report
Trang 12Three-dimensional
Distance±intensity plot
Animated
Figure 15 is a schematic diagram The blocks represent
locations on the layout and the arrows are material
move routes In this example a single arrow represents
all materials But dierent line styles or colors might
show dierent materials, or separate diagrams might
represent dierent material classes Schematic grams are most useful in the early stages of a projectwhen they help the analyst and others to document,visualize, and understand the material ¯ows
dia-Figure 16 is a quanti®ed schematic diagram Inaddition to routes it illustrates ¯ow intensity by thethickness of shaded paths The thicker the path, thehigher the ¯ow intensity The quanti®ed schematicmay derive from the schematic as the project pro-gresses and data become known
Figure 15 Schematic ¯ow diagram
Trang 13and ¯ow patterns It can also assist in designing certain
types of handling systems, such as automatic guided
vehicles (AGVs)
Macrolevel ¯ow patterns The facility layout
affects sequence and characteristics of material ¯ow
Indeed, the ¯ow pattern dictates the shape or
arrange-ment within a facility.Figure 22 shows the basic ¯ow
patterns: straight-through ¯ow, L-shape, U-shape or
circular, and hybrids
With straight-through or linear ¯ow, material entersand exits at opposite ends of the site or building.Flow deviates little from the shortest straight linepath Material movement is progressive Receivingand shipping areas (entrances and exits) are physicallyseparate
Straight-through ¯ow is simple and encourageshigh material velocity Operations are typicallysequential This ¯ow pattern has been a hallmark of
Figure 17 Locational ¯ow diagram (shaded lines)
Figure 18 Locational ¯ow diagram (multiple lines) Figure 19 River diagram
Trang 14mass production With this type of ¯ow, material
tracking and handling are relatively simple In fact,
Henry Ford and Charles Sorensen invented the
assembly line to solve a material ¯ow problem
Straight-through ¯ow can also be vertical movement
in a high or multistory building This ¯ow pattern
was used in some of the ®rst water-powered textilefactories in England
L-shape ¯ow has a 908 directional change Thispattern results from multiple material entry pointsalong the ¯ow path and a need for direct access It is
a ¯ow pattern sometimes used in paint shops
U-shape or circular ¯ow is an extension of the shape ¯ow The loop may be open or closed.Materials return to their starting vicinity Thesepatterns combine receiving and shipping docks withshared personnel and handling equipment.Conversely, one set of truck docks in a building cancreate a U or circular ¯ow, for example, morningreceiving and afternoon shipping patterns
L-The use of common receiving and shipping nel is not conducive to good security In pharmaceuti-cal manufacturing regulations may require strictseparation of receiving and shipping facilities.Incoming material handling, storage, and materialphysical characteristic dierences may also require dif-ferent personnel skills from those required at shipping.Hybrids, such as X, Y, Z, or star, are combinations
person-or variations of the basic ¯ow patterns
Flow complexity Simple material ¯ow patternshave fewer routes, fewer intersections and shorter dis-tances River and locational diagrams show ¯ow com-plexity These can be used to evaluate the relativecomplexity inherent in various layouts
Figure 20 String diagram
Figure 21 Three-dimensional material ¯ow diagram
Trang 15convenient in that respect However, the convenience
for the designer becomes a high-cost system that
encourages large lots and high inventories It seldom
supports just-in-time and world-class manufacturing
strategies
The macrolevel handling plan speci®es the route,container and equipment for each move It then accu-mulates the total moves by equipment type and calcu-lates equipment requirements To prepare a handlingplan:
Figure 23 Transport work material ¯ow evaluation
(a)
(b)
Trang 161 Assemble ¯ow analysis output:
a Routes and intensities
b Material ¯ow diagrams
3 Calculate equipment requirements
4 Evaluate and select equipment
1.3.1 Containers
Materials in industrial and commercial facilities move
in three basic forms: singles, bulk, and contained
Singles are individual items handled and tracked as
such Bulk materials, liquids, and gases assume the
form or shape of their container Fine solids such as
¯owable powders are also bulk In containerized
hand-ling, one or more items are in or on a box, pallet,
board, tank, bottle, or other contrivance The
con-tainer restrains the items within and, for handling
pur-poses, the container then dominates
Some materials take several forms Nails and screws
can move on belt conveyors almost like powders Later
in the process, handling may be individually or in
con-tainers Containers oer several advantages:
Protecting the contents
Improving handling attributes
Improved use of cube
Standardizing unit loads
Assisting inventory control
Assisting security
Pallet and palletlike containers have in the past been
the most widely used In many industries they still
are
``Tote pans'' and ``shop boxes'' have evolved into
sophisticated container families They are versatile for
internal and external distribution and are an important
feature of kanban systems Because of their wide use
they should be standardized and selected with great
care
Just-in-time, cellular manufacturing and time-based
competition strategies require moving small lot sizes to
point of use, which calls for smaller containers
For broad use in large plants, a family of
inter-modular units is important The International
Organization for Standardization (ISO) and the
American National Standards Institute (ANSI) have
set size standards The most popular families use
48 in: 40 in: and 48 in: 32 in: pallet sizes Figure
24 shows one system
Larger-than-pallet containers are primarily forinternational trade and ISO standardized unit havebeen designed There is, of course, a large variety ofnonstandard loads and containers
The key to container selection is integration.Container, route structure, and equipment are inti-mately connected; they should ®t with and complementeach other Other issues such as process equipmentand lot size also in¯uence container selection.Unfortunately, most container selections occur bydefault Certain containers pre-exist and new products
or items get thrown into them Existing route tures may also dictate container selection
struc-Manufacturing strategy should in¯uence containerselection Conventional cost-based strategies indicatelarge containers corresponding to large lot sizes; con-temporary strategies emphasize variety and responsetime The smallest feasible container corresponding
to small process and movement lot sizes should beselected
Figure 24 Box con®gurations for standard pallets
Trang 171.3.2 Route Structure
Route structure in¯uences container and equipment
selection It impacts costs, timing and other design
issues Figure 25 shows the three basic route structures:
direct, channel, and terminal In a direct system,
mate-rials move separately and directly from origin to
desti-nation In a channel system which has a pre-established
route, loads move along it, often comingled with other
loads In a terminal system, endpoints have been
estab-lished where the ¯ow is broken Materials may be
sorted, consolidated, inspected, or transferred at
these terminals In practice, many hybrids and
varia-tions of these basic route structures occur, as Fig 26
shows
1.3.2.1 Direct Systems
Direct systems using fork trucks are common In
operation, a pallet of material needs moving to another
department; the foreman hails a fork truck driver who
moves it to the next department An analogy for a
direct system is how taxis operate, taking their
custo-mers directly from one location to another without
®xed routes or schedules
Direct systems are appropriate for high ¯ow sities and full loads They also have the least transittime and are appropriate when time is a key factor,provided there is no queuing for transit requests.1.3.2.2 Channel Systems
inten-Channel systems use a predetermined path andschedule In manufacturing some automatic guidedvehicle systems work this way Manned trailer trainsand industrial trucks ®t channel systems They follow a
®xed route, often circular At designated points theystop to load and unload whatever is originating orreaching a destination at that point City bus systemsand subway systems use the channel structure.Channel systems are compatible with just-in-time(JIT) and world class manufacturing strategies ManyJIT plants need to make frequent moves of small quan-tities in tote boxes They may use a channel systemwith electric industrial trucks or golf carts Thesecarts operate on a ®xed route, picking up materialand dropping o loads as required Externally, overthe road trucks make several stops at dierent suppli-ers to accumulate a full load for delivery.Simultaneously, they return kanban signals andempty containers for re®ll
Lower ¯ow intensities, less-than-full loads and longdistances with load consolidation bene®t from channelsystems Standardized loads also indicate the use of achannel system
1.3.2.3 Terminal Systems
In terminal systems loads move from origin to ultimatedestination through one or more terminals At the
Figure 25 Basic route structures
Figure 26 Hybrid route structures