晶圓廠瓶頸機台的產能分析與派工法則

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೿๪ᇄ஬ᐚ፟έ۞யਕ̶ژᄃࠁ̍ڱ݋

ڒॎԈ

ࡷۣ࿪̳̄Φᄦౄొ

ڒϒځ ᗬࡌޙ

̚ර̂ጯࡊԫგநࡁտٙ

ၡ! ࢋ

Ηጱវߏ˘੼ԫఙ̈́੼Ըྤ۞யຽĂ҃ᐌ፟᝝פ੃ጸវ(DRAM)ՀЯயݡ

׍ѣ੼ᇾ໤̼۞পّĂ࡭ֹЧ DRAM ૞ຽᄦౄᇄౌͽ౵າ۞፟ጡᄃᄦ඀ԫఙ ԸˢϠயĄ൒҃Ă༊˘ळͽϠய DRAM ̝ҁᖞ೿๪ᇄĂд፟ጡᄃᄦ඀ԫఙ̙

Г׍ѣᚮۋ˧ॡĂυ૟׎Ϥಏ˘ DRAM யݡᖼࠎϠய׍ѣྵ੼ᒔӀ۞Ҳᇾ໤

̼யݡĂ҃׎Ϡயݭၗ๕υ˵ଂ͌ᇹкณ۞͞ёĂᖼೱࠎкᇹ͌ณ۞Ϡயሀ ёĄٙͽЋຽд੠Ր౵੼Ӏማ˭Ăтңдкᇹ͌ณ۞Ϡயሀё̚ᒔפ౵ָᒻ ड़Ăυ૟ߏ˘ࢦࢋ۞ኝᗟĄҭϤٺΗጱវயݡЯᄦ඀͵΃ᄃᄦ඀யݡ۞̙ТĂ ӈֹ࠹Тᄦ඀ԫఙ୧І˭Ă̙Тயݡม۞ఢॾϺхдໂ̂۞मளĂ߇ώࡁտ૟

ͽ CCR кᇹ͌ณ۞ሀё˭Ă೩΍ CCR ፟έ۞யਕ˯ᄃֹϡத̝ຫε̶ژሀ ёĂ֭ͷͽࢨטநኢ࣒ϒ CCR ࠹ᙯ̍ү৭۞ࠁ̍ڱ݋Ăֹ CCR ፟έ۞யਕᄃ

ֹϡதצז᜕ܲĂᒔ଀೿๪ᇄᖼೱ̝౵ָϫ۞Ą

ᙯᔣෟĈࢨטநኢă፟έֹϡதă፟έயਕăԲณăࠁ̍ڱ݋Ą

CAPACITY ANALYSIS AND DISPATCHING RULES OF BOTTLENECK MACHINERY IN SEMICONDUCTOR FOUNDRY

Chen-Hung Lin

Supervisor Mosel Vitelic Inc.

Hsinchu, Taiwan 300, R.O.C.

Cheng-Ming Lin Chiu-Chi Wei

School of Technology Management Chung-Hua University Hsinchu, Taiwan 300, R.O.C.

Key Words: theory of constraint, utilization rate, capacity, batch, dispatching rule.

ABSTRACT

The semiconductor is a highly specialized and investment intensive industry, and many of the Dynamic Random Access Memory (DRAM) manufacturers utilize the state-of-the-art machines and processes to the production because of its standard characteristics. However, when the processes and production tools are outdated, it is necessary to transfer those less profitable DRAM products to less standardized products with higher

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return. As a result, the manufacturing will be shifted to large volume and less variety from small volume and large variety; the operational performance then becomes the core issue for enterprises. Unfortunately, the production processes are highly interrelated with the products of different generation. The objective of the study is to develop a revised dispatching rule and a constrained capacity resource (CCR) model to protect the capacity of the CCR, and therefore, to obtain better processes transformation performance.

˘ăჰ! ኢ

Ϡயଵ඀˘ۡӧᕘ඾ՙ̂ొЊ۞ᄦౄЋຽĂࣧЯߏϠ ய࿅඀ົѣޝкኑᗔЯ৵۞̒ᕘĂЯѩזϫ݈ࠎͤĂᔘ՟

ѣ˘इዋϡٙѣயຽ۞Ϡயଵ඀ሀёĄCowling [1] ဘྏޙ ၹ˞˘इଵ඀ՙඉ͚೯ր௚Ăԓ୕Ξͽ྿זΗҋજଵ඀۞

ϫ۞ĄKawata ඈˠ[2]೩΍ᘦઉ౵ָ̼۞ଵ඀ሀёĂӀϡБ

ાຩವڱԱ΍౵ൺ۞Ϡயଵ඀ĄMorizawa ඈˠ[3]ͽᑅᒺБ

ાຩವڱՐྋ௡྅Ϡயቢ۞౵ൺଵ඀Ą

дЋຽ޺ᜈ੠Րјܜ۞݈೩̝˭ĂΞͽ࿰֍۞ĂDRAM

૞ຽᄦౄ̳Φ၆ٺ̏གྷ՟ѣᚮۋ˧۞ DRAM ˣЦ೿๪ᇄĂ ๕υ૟׎ᖼࠎϠயᄦ඀ԫఙܝᕣྵҲ۞யݡĂٕ۰΍઴ග׎

ιᙷݭயݡ۞Ηጱវ̳ΦĄ൑ኢᏴፄ֤˘჌ઇڱĂDRAM ˣЦ೿๪ᄦౄᇄĂౌ૟ࢬᓜϤ͌ᇹкณ۞੼ᇾ໤̼Ϡயሀ ёĂᖼࠎкᇹ͌ณ۞Ҳᇾ໤̼ϠயሀёĄд͌ᇹкณ۞Ϡய ሀ ё ̚ Ă ఼ ૱ ԯ ய ਕ (capacity) ۞ Ҥ ზ ᄃ ፟ έ ۞ ֹ ϡ த (utilization)ෛࠎ˘׽ؠ૱ᇴĄҭߏĂ༊˘ळΗጱវ೿๪ᇄĂ Ϥ͌ᇹкณᖼೱࠎкᇹ͌ณ̝ޢĂ׎ፋវயਕᄃ፟έֹϡத

ົᐌயݡ௡Ъ(product mix)۞ּͧ҃ѣٙᆧഴĄ

઄ֹΗጱវᄦ඀дкᇹ͌ณ۞Ϡயሀё˭Ă̙Тயݡ

௡ Ъ ૟ ົ ᐌ ඾ ய ݡ ჌ ᙷ གྷ ࿅ ய ਕ צ ࢨ ྤ ໚ (capacity constrained resource, CCR)Ă˵ಶߏ஬ᐚ፟έ۞кဿ҃ѣٙ

ԼតĂЯࠎயݡ჌ᙷ෸кĂົᆧΐೱቢፋ౯ॡม(set up time) ᄃࢫҲԲณ̂̈(batch size)ĄଂΩ˘֎ޘ҃֏ĂCCR ፟έ

۞ֹϡதࢫҲĂCCR ፟έ૟ЯԲณ̙֖Ăֹ҃ಏҜॡม۞

ய΍(throughput)ഴ͌ĂЯ҃Լតፋ࣎೿๪ᇄ۞౵ޢ၁ᅫய ਕĄҭߏĂ൑ኢߏͽࢨטநኢٕፋᇴቢّఢထ(integer linear programming, ILP)[4-8,12-14]ඈ͞ڱٙఢထ۞౵ָயݡ௡

ЪĂ֭Ϗ҂ᇋΗጱវᄦ඀۞Ϡயᄃΐ̍পّĂΪд੠Ր౵

੼ய΍ᄃ̳ΦӀማ̝˭Ăጱ΍ፋវࢎಏ౵੼Ӏማ۞кᇹ͌

ณயݡ̝ତಏڱ݋Ă֭ͽѩઇࠎ೿๪ᇄ̝͹Ϡயଵ඀

(master production schedule, MPS)۞ॲፂĄ൒҃ĂTOC ٕ ILP نர˞кᇹ͌ณயݡ௡Ъд CCR ፟έೱቢॡมᄃࢎಏԲ ณ̂̈Ă၆யਕᒻड़ᄃֹϡத۞ᇆᜩĄ

༊˘Ηጱវ೿๪ᇄЯࢎಏயݡ௡ЪĂϤ͌ᇹкณϠய ᖼࠎкᇹ͌ณ௡ЪޢĂд੠Ր̳Φ౵̂ᒔӀᄃ CCR ፟έ౵

̂ய΍۞ТॡĂົౄј CCR ፟έ۞யਕăֹϡத̈́ࢎಏϹ ഇඈ̝ม۞኏ࡎĄЯѩĂώ͛ࢵА૟ଂ೿๪۞кᇹ͌ณய ݡ௡Ъࢎಏ˭Ăଣ੅ᇆᜩ CCR ፟έ۞ѣड़யਕֹ̈́ϡத̝

͹ࢋЯ̄̈́រᙋ၆ CCR ፟έٙౄј۞யਕֹ̈́ϡத۞ຫ

ε̶ژሀёĂ೩ֻயਕఢထ۰ਕՀ໤ቁ۞ઇ΍யݡ௡Ъ̝

ఢထĄ൒ޢĂͽࢨטநኢ൴ण҃΍۞ࢨטᜭጱё̝ࠁ̍ڱ

݋Ă೩΍ͽ CCR ፟έᜭጱܧ CCR ፟έ̝࣒ϒࠁ̍ڱ݋Ă ഇֹ CCR ፟έ۞ѣड़யਕֹ̈́ϡதĂਕᒔ଀౵ָ۞ቤ኏ᄃ

᜕ܲࠎ׎ࡁտ̝ϫ۞Ą

ซҖώࡁտĂࢵАืдͽ˭ೀᕇ઄న݈೩˭ซҖĈ (˘) ώࡁտٙᅮ۞யݡ௡Ъ̈́፟έ࢑ఈ(loading)ඈ࠹ᙯྤ

ੈĂдൺഇᄃໂൺഇఢထ̚࠰ࠎ̏ۢĄּтĈЧ჌ய ݡٺЧ፟έ۞ᇾ໤ΐ̍ॡม(standard process time, SPT)Ą

(˟) ઄నд̏ۢ۞யݡ௡Ъ˭Ă೿๪ᇄ̰۞ CCR ፟έࠎ̏

ۢĂдώ͛૟̙ΩҖซҖቁᄮ CCR ۞ሀᑢٕࢍზĄ (ˬ) ώࡁտ͹ࢋߏдଣ੅ CCR ፟έயਕ̶ژĂ඾ீٺ׎ய

ਕăֹϡத۞೩̿ᄃԼචĂ၆ٺԸफ़ڱăயݡ௡Ъă Ϡயଵ඀ăۏफ़ວྻڱĂ݋̙̟ͽ੅ኢĄ

(α) ઄నր௚ˠ˧ྤ໚ΞБ˧͚೯ր௚̰۞ CCR ፟έĂЯ ѩĂᙯٺˠ˧ྤ໚યᗟĂϺ̙̟҂ᇋĄ

(̣) ࠎ ᖎ ̼ ώ ࡁ տ ۞ ኑ ᗔ ޘ Ă ၆ ٺ CCR ۞ ͚ ೯ ፟ έ (machine backup)Ă̙Еˢ҂ᇋĄ

(̱) ώࡁտ͹ࢋଣ੅ಏ˘೿๪ᄦౄᇄĂдயݡ௡Ъ۞யਕ ఢထ˯Ă̙҂ᇋТ̳Φ̰׎ι೿๪̶ᇄ۞ඉரّ͚೯ ᄃྻϡĄ

˟ă೿๪ᄦ඀ CCR ፟έ̝யਕᄃֹϡதຫε̶

ژ

˘ਠ҃֏ĂΗጱវயຽֶᄦౄ඀Ԕ̂࡭˯Ξ̶ࠎĈ݈

߱(front-end)۞ܜ೿ă೿๪ᄦౄᄃ೿๪੫ീĂͽ̈́ޢ߱

(back-end)۞̷౷ăދ྅ᄃീྏĂ݈҃߱̚۞೿๪ᄦౄࠎώ

̝͛͹ࢋଣ੅ቑಛĄдΗጱវ೿๪ᄦ඀̚ĂΒӣ˞୻߾ă ᚤგউ̼ăᗓ̄ങˢăᚤგሤᄦ඀ă̼ጯঈ࠹Օ᎕ăۏந ঈ࠹Օ᎕ăЍܡᖬᄏăЍཊ၆໤ᄃᘉЍăЍཊពᇆăᄞגă ЍܡΝੵăᑭរᄃณീඈ̙Т௡Ъ̝ೈᒖՎូĄ׎ᄦ඀̈́

ᄦ඀Վូ۞кဿĂົᐌ̙Тᄦ඀͵΃ă̙Тயݡ҃ѣٙम ளĂ׎யݡᄦ඀Վូ݋ଂ˘Ѻк྽ז˟ăˬѺк྽࠰ѣ̝Ą

ဦ 1 ࠎ೿๪ᄦ඀ૄώΐ̍Վូ̝߹඀ဦĂ೿๪ᄦౄߏ ͽుᆸ(layer by layer)۞͞ёࢦᖬΐ̍ٺ೿๪˯Ăͽ೿๪Ը फ़̝ޢ۞ௐ˘ᆸࠎּĈௐ˘ᆸ̝ؕĂ၆ܢ඾ٺ೿๪ܑࢬ۞

ဧऄ(particle)ซҖΝੵ۞୻߾ՎូĂତ඾ͽᚤგউ̼ΐ̍

ՎូĂֹ೿๪ܑࢬјܜ˘ᆸউ̼ቯ(oxide film)Ă҃ޢдѩ

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ဦ 1 ೿๪ᄦ඀ૄώΐ̍Վូ

উ̼ቯᖬᄏ˘ᆸЍܡĂགྷ࿅၆໤ᘉЍ̈́ពᇆ̝࿅඀Ăֹউ

̼ቯ˯ԛј׍ѣဦᇹ᜕̝ܲડĂГͽᄞג͞ڱΝੵܧ᜕ܲ

ડ̰۞উ̼ቯĂ౵ޢГ߉ͽЍܡΝੵ̈́ᑭរăޢ୻߾ඈү ຽĄזѩĂԆј˯ࢗ۞Чΐ̍ՎូĂӈΞ྿זௐ˘ᆸЍཊ (mask)۞ဦᇹĂᖼҌ೿๪উ̼ቯܑࢬ˯ઇΐ̍Ą

1. Ηጱវ፟έ۞ΐ̍ݭၗ

дΗጱវ೿๪ᇄ̚ĂՏ˘౵̈ΐ̍ಏҜࠎԲ(lot)Ă҃

ՏԲயݡ̰ӣѣ 25 ͯ೿๪Ăѩ 25 ͯ೿๪ͽ˘࣎೿Ґ (cassette)ٚྶĄ၆፟έ҃֏ĂՏѨ౵̈ΐ̍ಏҜࠎ˘೿ҐĂ

҃Տ˘፟έֶΐ̍ݭၗ۞̙ТĂ˫Ξ̶ࠎ(˘)ԔЕΐ̍

(serial)ă(˟)ొ̶ాᜈΐ̍(part sequential)ă(ˬ)Բณΐ̍

(batch)ă(α)Բณాᜈΐ̍(batch sequential)ඈα჌ݭၗĄ ѩα჌ݭၗĂдΗጱវᓄኑ۞யݡΐ̍߹඀̚Ă׎፟έΐ

̍ݭёѣໂ̝̂मளĂயਕ۞Ҥზ͞ڱ˵ౌ̙ТĄ׎̚ͽ ௐ˘ă˟ăαݭ̝ΐ̍፟έ۞யਕҤზྵࠎಏ৷Ăҭௐˬ

ี̝Բณёΐ̍፟έĂ׎யਕ۞ҤზົצՏѨΐ̍۞Բᇴ кဿ҃ԼតĂᚶֹ҃ፋវயਕצזᆧഴ̝ᇆᜩĄЯѩĂώ

͛૟ͽԲณёΐ̍፟έĂઇࠎࡁտᄃଣ੅۞ CCR ፟έĄͽ

˭੫၆Բณݭΐ̍Ăઇ˘࣎ᖎಏᄲځĈ

ٙᏜԲณ(batch)ݭΐ̍ĂHoitomt ᄃ Luh [9]၆Բณ఍

ந፟έ(batch processing machine)۞ؠཌྷࠎĂΞТॡፆү˘

࣎ͽ˯۞̍ү፟έĂ҃૟ଵؠٺ˘੓ΐ̍۞Բ(lots)Ⴭࠎ˘

࣎Բณ(batch)ĄWeng[10]ᄃ Gurnani ඈˠ[11]۞͛ᚥ̚˵೩ זĂԲณүຽ(batch operation)۞পّࠎĈԲณ఍ந፟έΞ Тॡፆү˘Բͽ˯۞ΐ̍үຽĂҭѩ჌፟έ˘Ѩүຽѣ౵

̂ΐ̍टณ۞ࢨטĄϺӈĂТॡҌкΪਕ၆ k ԲซҖΐ̍Ă

፟έ˘όฟؕΐ̍үຽಶ̙ਕ̚ᕝĄтဦ 2 ̈́ဦ 3 ٙϯĂ

΃ّܑ፟έࠎᚤგ፟Ąѩᙷ፟έֶ፟έপّ̙ТĂՏѨΐ

̶̍ҾΞТॡ఍ந 1 ז 6 Բ̙ඈĂϺӈ̙ТԲ۞யݡΞͽ

1^st

2^nd

N^th

Lots

ဦ 2 Բณݭΐ̝̍ϟপဦ

ဦ 3 ᚤგΐ̍ϯຍဦ

дТ˘ॡมԆјΐ̍ĄּтĈᚤგ፟έ̝ՏѨΞΐ̝̍Բ ณࠎ 6 Բ(150 ͯ)Ăҭߏ WIP ֭ϏυਕдՏѨ࠰႕ྶ(full run) 6 Բޢ˘੓ΐ̍Ą

2. Ηጱវ፟έೱቢϠய۞পّ

Ηጱវ፟έ۞ΐ̍൑ኢߏТயݡ̙ТՎូĂࠤҌ̙Т யݡ࠹Тΐ̍ՎូĂ׎ΐ̍ᄦ඀੨͞(recipe, RCP)˵ѣ̙ٙ

ТĄ̙Тᄦ඀੨͞۞ᖼೱĂѣॡᅮซҖೱቢ(set up)۞үຽĂ

҃ೱቢѨᇴ෸к݋፟έΞϡٺΐ̍யݡ۞ॡมಶ෸͌Ă׎

পّᙷҬ׎ιயຽ۞஄ЪϠயቢĄॲፂͳځ̋[12]ٙ೩΍

̝஄ЪϠயቢαᕇপّᄃͽͧྵޢĂΞۢ׎͹ࢋमளдٺ

྅੨(ΐ̍)үຽតّ̼ีϫ˯ĄΗጱវ፟έд̙Т੨͞ΐ

̍ᖼೱॡĂᅮࢋซҖ፟έ۞ᄦ඀ೱቢ(set up)۞ീྏүຽ (test run)Ăͽᚤგ፟έࠎּĂ׎፟έՏѨೱቢ̝ീྏүຽ ॡมĂ͌݋˟Ҍˬ̈ॡĂк݋˛Ҍˣ̈ॡ࠰ѣ̝Ąѩன෪

૟ౄјΗጱវ፟έֹϡத˯۞ຫεĂ҃ѩன෪˵ߏώࡁտ ໂ୬̶ژᄃԼච̝યᗟĄ

3. CCR ֹϡதᄃயਕ̶ژ

Їң˘ळ૞ຽ DRAM ೿๪ᄦౄᇄĂдЋຽඉரᖼೱ

̝ޢĂтڍϤಏ˘ᇾ໤̼۞ϠயሀёĂᖼೱࠎкᇹ͌ณ҃

Ҳᇾ໤̼۞ϠயሀёĂͷд੠ՐஐӀϫᇾ౵੼˭Ă૟ֹ̙

Тᄦ඀͵΃ᄃ̙Тᄦ඀யݡĂТॡхдٺྍ೿๪ᇄ۞Ϡய

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ܑ˘! ΐ̍ݭёᄃயਕ/ֹϡத۞ຫε ΐ̍Վូ˘

25 ͯ/ѨĂ25 ͯ/1 ̈ॡ

ΐ̍Վូ˟

150 ͯ/ԲѨĂ1 ԲѨ/3 ̈ॡ யݡ ΐ̍

ͯᇴ

ฟؕΐ̍

ॡม

ඕՁΐ

̍ॡม

யݡז྿

ॡม

௢᎕Ξΐ

̍ͯᇴ ฟؕΐ̍ॡม ඕՁΐ̍ॡม யਕຫε ፟έֹϡதຫεŶ ೱቢॡม/24 ̈ॡ A1 25 10:00 11:00 11:00 25 11:00 14:00 125 ů A2 25 11:00 12:00 12:00 25 14:00 17:00 125 ů

B1 25 12:00 13:00 13:00 25 17:00~18:00 ೱቢ A2ƖB1ĂॡมŶ1 ̈ॡ 4.17%

B2 25 13:00 14:00 14:00 50 18:00 21:00 100 ů C1 25 14:00 15:00 15:00 25

C2 25 15:00 16:00 16:00 50

21:00~22:00 ೱቢ(B1+B2)Ɩ(C1+C2)Ă

ॡมŶ1 ̈ॡ 4.17%

22:00 01:00 100

A,B,C

50 25 /

25 / 10:00 11:00 16:00

11:00 12:00 17:00 A:25

A:25

C:25 A

10:00~11:00 B

11:00~12:00

C

150 /

16:00~17:00

ဦ 4! ΐ̍ݭёᄃயਕ/ֹϡதຫεϯຍဦ

ቢ˯Ą൒҃Ă೿๪ᇄϠயቢ۞ WIP ˘ۡͽֽߏӔજၗ̶Ҷ ሀёĂЯѩĂ༊ CCR ፟έ۞ WIP யݡ჌ᙷតள͉̂ॡĂ ᔵ൒ѣࢨטᜭጱёࠁ̍ڱ݋ֽྋՙ׎ࠁ̍યᗟ[4,13]Ąҭ ߏĂྍڱ݋͹ࢋ᜕̝ܲ፟טߏдࢎಏ۞ϹഇĂ֭Ϗ҂ᇋז CCR ፟έ۞யਕᄃֹϡத̈́ WIP ̝ม۞ᙯܼĄϺӈĂCCR

፟έֹ̝ϡதᄃயਕ֭൑ڱצז᜕ܲĄ҃༊፟έֹϡத̈́

யਕ൑ڱצז᜕ܲॡĂଂயݡ௡Ъזயਕ࿰Ҥᄃயਕఢ ထĂౌ૟൑ڱצז᜕ܲĄ༊൒ĂЧயݡࢎಏ۞Ϲഇ˵ಶ൑

ڱצז᜕ܲĂͽ࡭ٺՏඊயݡࢎಏ۞ღ࢝ࣃĂౌົдღ࢝

ડ̰Ă׎ඕڍΞਕጱ࡭Տඊࢎಏكѩ̒ᕘ۞ன෪Ą ͽ˭૟੫၆ೱቢॡมᄃயݡԲณٺкᇹ͌ณॡĂଣ੅

CCR ፟έ۞ֹϡதᄃயਕ۞ຫεࢍზ̶ژ۞ሀёĂ׎̶ژ

͞ڱಶߏଂ WIP யݡ჌ᙷតள၆ CCR ۞ᇆᜩጱ΍ CCR ۞

ֹϡதᄃயਕຫεĄᄲځт˭Ĉ

(˘) WIP யݡ჌ᙷតளᇆᜩᄃ CCR ፟έ۞ѣड़ֹϡड़த (EU)

ώࡁտ˘Гૻአ̙Т͵΃ԫఙᄃ̙Тᄦ඀჌ᙷĂ׎ᄦ

඀ఢॾѣ඾̙Т۞ࢋՐᄃमளĂ҃׎͹ࢋ۞ଠט͞ёࠎĂ дΐ̍፟έ˯ؠཌྷ̙Т۞ᄦ඀੨͞(RCP)Ą൒҃Ă˘ळ೿

๪ᄦౄᇄϠயቢ˯൑ڱ࿰ۢ۞តᇴໂкĂּтĈ፟έ۞༊

፟ăள૱ඈኜт̝ᙷ۞ϠயតᇴĂــౄј CCR ፟έ WIP யݡ჌ᙷᄃԲณតளՀΐ۞ᚑࢦĂ఺ߏ೿๪Ըफ़ٕܜଵ඀

ٙ൑ڱ࿰फ़۞Ą҃ੵ˞፟έᄃᄦ඀۞តᇴٙౄјயݡ჌ᙷ WIP តள̝γĂ፟έ۞ΐ̍͞ё˵ߏ WIP តள۞ࣧЯ̝

˘Ąтဦ 4 ٙϯĂͽԔЕᄃԲณΐ̍˟ᙷ፟έ҃֏ĂࡶԔ

Еΐ̍ࠎ݈˘ΐ̍ՎូĂ҃Բณΐ̍ࠎޢΐ̍ՎូĄтڍĂ ԔЕΐ̍፟έֶଵ඀ᅮՐ̶Ҿ఍நˬ჌̙ТயݡĂ݋ޢ৭

۞Բณΐ̍፟έ WIP តள૟צז݈৭ΐ̍፟έ۞ᇆᜩĂౄ

јܑ˘ٙϯ̝யਕᄃֹϡத۞ຫεĄ༊ΐ̍Վូ˘д 10:00

۞ॡ࣏ĂֶԔฟؕซҖயݡ A1ăA2ăB1ăB2ăC1ăC2

۞ΐ̍ĂдԔЕݭΐ̍፟Տ̈ॡ 25 ͯ۞ய΍த̝ޢĂΐ̍

Վូ˟ٺ 11:00 ฟؕซҖயݡ A1 ۞ΐ̍ĂҭߏĂͽԲณݭ ΐ̍፟۞ՏѨΞΐ̍۞टณ 150 ֽͯ࠻Ă݋ΐ̍Վូ˟۞

Բณݭΐ̍፟யਕຫεࠎ 150 ͯ- 25 ͯŶ125 ͯĂࡶயݡ A ᄃயݡ B ̈́யݡ CĂ׎ᄦ඀੨̝͞ม۞ᖼೱॡมࠎ 1 ̈ॡĂ

݋д༊͟۞ 17:00 ॡᅮซҖ A2 Ҍ B1 ۞ 1 ̈ॡೱቢॡมĂ

҃д 21:00 ݋ซҖז(C1+C2)۞ೱቢүຽĂ౵ޢྍԲณݭ፟

έ۞ֹϡதຫεࠎ 4.17% + 4.17% = 8.34%Ą

઄న CCR ፟έĂдΐ̙̍Тᄦ඀யݡ i ᖼೱ̝มĂ࠰

ᅮซҖ˘Ѩ̙Т੨͞۞ീྏᄃᑭរĂѩ࿅඀ώࡁտ૟׎ؠ ཌྷࠎ CCR ፟έ۞ᓁೱቢॡม STi Ă݋ CCR ፟έ۞ೱቢॡ ม૟ᄃயݡ჌ᙷ i јϒͧĂтё(1)ٙϯĄϺӈĂࡶ i ඈٺ 1 ॡĂྤ໚צࢨ፟έ C ̙֭ᅮࢋೱቢॡมĄТᇹ۞Ă઄న CCR ፟έ۞யݡ i ΐ̍ॡมࠎ PTiĂ݋༊͟ CCR ፟έ۞ய ݡ i ᓁΐ̍ॡมĂົߏྍ፟έ۞ΐ̍Ѩᇴࢷ᎕Ăтё(2)ٙ

ϯĄЯѩĂࡶՏ͟۞Ξΐ̍ॡมࠎ˘׽ؠ૱ᇴĂ݋ CCR

፟έ༊͟۞ѣड़ֹϡதົߏтё(3)ٙϯĂଂё(3)ΞۢĂ༊

፟έ۞ೱቢॡม STi෸̈Ă݋ CCR ፟έѣड़ֹϡத EU(C)

෸੼ĂͽѩͅଯĂࡶ CCR ̍ү৭۞ WIP ̚யݡ჌ᙷ i ෸ кĂ࠹၆۞׎ೱቢѨᇴ˵෸кĂ҃ STi૟෸ᐌ̝෸̂Ă౵

(5)

ޢጱ࡭ EU(C)ត̈Ą ST i

ST_i=(−1)× ST_i≤WT (1)

WT

PT_i≤ =∑ ×

= n

i Ri PTi

PT

1

(2)

WT ST WT EU

n i

−∑

= ⁼¹ (3)

(˟) ፟έ۞నࢍֹϡத(DU)ᄃ፟έ۞ֹϡதຫε(UL) Ηጱវన౯ᄦౄથд኱፟έ̟Ηጱវ೿๪ᇄ݈Ă࠰υ

ื೩ֻྍ፟έ۞ֹϡதྤफ़Ă҃ѩ఍ٙ޽۞ֹϡதĂ˘ਠ ߏ޽љੵՏ͟πӮ፟έ࿰֨ܲዳ(pre maintenance; PM)Ăͽ

̈́፟έՏ͟πӮ༊፟ॡม̝ޢ۞ֹϡதĂдώࡁտ૟׎ؠ ཌྷࠎ DU (design utilization)Ą

ё(3)̏ᙋځ ST ߏឰѣड़ֹϡதࢫҲ۞͹ࢋЯ̄ĂЯ ѩĂCCR ༊͟ WIP Яயݡ჌ᙷ҃ᆧΐ۞ೱቢѨᇴĂ׎ጱ

࡭፟έֹϡதຫε UL ົඈٺ DU ᄃ EU(effective utilization)

࠹ഴٙ଀۞ࣃĂͽё(4)ܑϯ̝Ą

UL = DU – EU (4) (ˬ) ፟έ۞నࢍயਕ(CD)

Բณёΐ̍፟έෛ፟έ჌ᙷĂ఼૱̙Т۞Բณёΐ̍

፟Ă̶ҾΞТॡΐ̍۞౵̂टณ˵ົ̙ТĄּтĂࡶߙԲ ณΐ̍፟έՏѨΞΐ̍۞౵̂टณࠎ 6 Բ೿๪Ă֤ᆃѩ፟

έ۞ಏѨΐ̍யਕӈࠎ 6 Lots Ű25 ͯŶ150 ͯĂώ͛݋૟

ѩ፟έ۞ಏѨΐ̍۞౵̂೿๪टณĂؠཌྷࠎ BQ(batch qty)Ą

ࡶ CCR ፟έࠎԲณёϠயĂ݋ྍ፟έд༊͟۞నࢍ

யਕ CD (capacity design)ΞϤё(5)ܑϯ̝Ą

=∑ ×

= n i

BQ R CD

1

(5) (α) ፟έ۞ѣड़யਕ(CE)

Բณݭΐ̍፟έՏѨ۞၁ᅫΐ̍೿๪ԲณĂ̙ኢඈٺ

౵̂ΐ̍टณ BQĂٕߏ̈ٺ౵̂ΐ̍टณ BQĂώࡁտ૟

׎ؠཌྷࠎĂ፟έ۞ѣड़யਕ CE (capacity effective)ĄּтĂ

ࡶಏѨΞΐ̍۞౵̂टณ BQ ࠎ 150 ͯĂҭΪѣ 100 ͯ۞

WIP ಶซҖ፟έ۞ΐ̍Ă݋ྍ፟έ۞ಏѨѣड़யਕࠎ 100

ͯĄ

ЯѩĂԲณݭΐ̍፟έՏѨ۞၁ᅫΐ̍ԲณĂώ͛Ⴭ

̝ࠎ CCR ፟έ۞ѣड़யਕ CEĂ֭ͽё(6)ܑϯ̝Ăଂ(6) ёΞۢ༊யݡՏಏѨ۞ LQiԲณ෸̈Ă݋༊͟۞ѣड़யਕ

˵෸͌Ą

=∑

= n

i LQi

C CE

1

)

( (6)

ॲፂё(5)ᄃё(6)଀ۢĂ઄న CCR ፟έ༊͟Ξ఍நΐ

̍۞ໂࢨѨᇴ R ࠎ˘׽ؠ૱ᇴĂ݋யݡ჌ᙷ i ۞Բณ LQi

ՙؠ˞ྍ CCR ۞༊͟ய΍Ą˵ಶߏ CCR ۞፟έд༊͟Ă Яயݡ჌ᙷ i ۞Բณ LQi̙֖ٙౄј۞யਕຫε CL ົඈٺ BQ ᄃ LQi࠹ഴ۞ᓁЪĂ֭ͽё(7)ܑϯĄ

CCR WIP

CCR

CCR WIP : i LQi

Yes No

CCR

ဦ 5 CCR ፟έֹϡதᄃயਕ᜕̝ܲԼචߛၹ

( )

∑ −

== n

i BQ LQi

CL

1

(7) Ϥё(6)ᄃё(7)ΞۢĂᙋځ CCR ፟έ WIP யݡ჌ᙷ i

۞Բณ LQi̙֖̝តளĂ၆ CCR ۞ᇆᜩ૟ߏயਕຫεĄώ ࡁտࠎរᙋ˯ࢗ(6)ᄃ(7)ёĂӀϡߙΗጱវᇄ̝ԲณёϠய

፟έࠎּĂඕڍពϯĂLQi෸ତܕ BQ ۞ࢺᇴĂ၆ಏ˘யݡ

჌ᙷٙౄј۞யਕຫ෸̈Ă̝ͅĂ݋யਕຫε෸̂Ă࣐ࡶ

༊͟۞யݡ჌ᙷ෸кĂ࠹၆׎யਕຫεϺӔ࠹ࢷड़ᑕĄЯ ѩĂтңឰ LQiᔌܕ BQ ۞ࢺᇴᄃࢫҲயݡ჌ᙷ i ۞ᇴณĂ ߏԼචயਕຫε̝ٙдĄ

ˬăCCR ፟έᄃ݈˘ΐ̍৭ม̝ࠁ̍ڱ݋

ώࡁտͽ TOC ̣̂Վូ̚۞Վូ˟:Ķ·̶Ӏϡѩࢨ טྤ໚ķᄃՎូˬĈĶܧࢨטྤ໚Б˧੨Ъѩࢨטྤ໚ķࠎ

͹ࢋߛၹ͕̚ĂͽࢫҲ CCR ፟έ۞ WIP តளࠎ፟טĂઇ ࠎ᜕ܲ CCR ፟έ۞ֹϡதᄃயਕ̝͹ࢋߛၹĂтဦ 5 ٙ ϯĄϤ݈ࢬٙ೩۞யਕຫε̶ژሀёĂ൴னயݡ჌ᙷ۞ᇴ ณᄃயݡ჌ᙷ۞ԲณĂߏౄјயਕᄃ፟έֹϡதຫε۞͹

ЯĂώ༼૟ͽ TOC ۞ௐˬ࣎ՎូĈĶܧࢨטྤ໚Б˧੨Ъ ࢨטྤ໚ķ۞៍هĂ೩΍᜕ܲ CCR ፟έ۞ѣड़ֹϡதᄃய ਕ۞͞ڱĂၹޙ CCR ፟έᄃ݈˘ΐ̍৭ม̝ࠁ̍ڱ݋Ă͹

ࢋ̶ј׌࣎ొ̶Ăϫ۞д၆ࢨטᜭጱёࠁ̍ڱ݋̟ͽՀซ

˘Վ۞࣒ϒᄃԼචĂᄲځт˭Ĉ 1. ቁᄮ CCR ፟έ WIP Բณனڶ

Ϥٺ̙Т͵΃ԫఙᄃ̙Тᄦ඀჌ᙷ۞кᇹ͌ณ WIP ၆ CCR ѣड़ֹϡதᄃயਕѣ׎ຫεĄЯѩĂቁᄮ CCR ፟ έ WIP னڶ̝ϫ۞Ăдٺޙϲ˘Ķ·̶Ӏϡѩࢨטྤ໚ķ

۞፟טĂ׎፟טࠎᜭጱܧயਕצࢨྤ໚፟έਕૉΐ̍ CCR

ٙᅮ̝யݡ WIPĄ

2. Ա΍ CCR ۞݈˘̍ү৭̝౵ָԲณ̂̈Ă֭ఢထ׎

ଵ඀

༊ CCR ۞ᜭጱ፟טޙϲ̝ޢĂͽϤޢـ݈ٛ۞͞ёĂ

(6)

CCR / CCR WIP

, CCR

CCR CCR

ဦ 6 ᇥำ֍͟ဦ

ᜭጱܧயਕצࢨྤ໚፟έ۞ய΍ĂϺӈ CCR ۞݈˘̍ү ৭Ąᜭጱྍ̍ү৭፟έΐ̍఍ந CCR ٙᅮயݡԲณ̝ൺଵ

඀Ă҃ܧ่ͽࢎಏٕϹഇࠎ៍ᕇ۞ CCR ൺଵ඀ĄலౣĂࢎ

ಏٕϹഇߏΞͽϡ׎ιܧצࢨྤ໚፟έĂд׎ΐ̍Վូ̰

ͽԣిᖼொ͞ё̟ͽᅁ̍[13]Ą 1. ࠁ̍ڱ݋̝͹ߛၹ

д CCR ፟έ̝யਕᄃֹϡதຫε̶ژĂ଀΍ᇆᜩ CCR

፟έ۞ֹϡதᄃயਕ۞ࢦࢋЯ̄ѣ˭ࢬ˟ีĈ

(˘) யݡ჌ᙷ i ۞ᇴณкဿ˜ߏᇆᜩ UL ۞౵̂Я̄Ăࡶ

ਕ૟ i ࢫҌ౵͌Ă݋ CCR ፟έ۞ѣड़ֹϡத EU Ξ଀

ז౵ָ۞ӀϡĄ

(˟) тңឰயݡ჌ᙷ۞Բณ LQiਕᔌܕ BQ ۞ࢺᇴĂߏԼ ච CCR ፟έயਕຫε̝ٙдĄ

ࡶਕྋՙ˯ࢗ˟ᕇĂ݋ CCR ፟έ۞யਕֹ̈́ϡதĂ ӈΞ଀౵ָ۞·̶ӀϡĄҭߏĂд၁ᅫ˯Ăٙѣ۞ CCR

፟έ۞ WIP ֽ໚Ă࠰ֽҋٺ݈˘̍ү৭۞ய΍Ą˘ਠ۞ࠁ

̍ڱ݋Ă၆ٺ CCR ፟έ۞݈˘৭ͷࠎܧ CCR ፟έ۞ࠁ̍Ă ߏଳפ̶೸ёࠁ̍Ă˵ಶߏฟٸࠁ̍ᝋࢨҌௐ˘ቢ۞үຽ

ࣶٕᅳ঱Ă̂ొ̶۞ॡ࣏ߏֽ̦ᆃயݡĂಶΐ̦̍ᆃயݡĂ ࠎ׎ࠁ̍۞ૄώڱ݋Ąдࢨטநኢ၆ܧ CCR ፟έ۞ࠁ̍Ă ڒϜ࢐[5]݋ߏૻአͽயݡϹഇ۞ღ࢝ࣃ(critical ratio; CR) ଵԔᝋĂࠎ׎͹ࢋ۞ࠁֶ̍ፂĄ

ЯѩĂࡶ୬ឰ CCR ፟έ WIP ۞யݡ჌ᙷ i ౵̈̈́ய ݡԲณ LQi෸ᔌܕٺΞΐ̍۞౵̂टณ BQĄព൒۞ĂΪߏ

ૻአͽயݡϹഇࠎღ࢝ࣃ۞ࠁ̍ڱ݋ߏ̙ૉ۞ĄଂΩ˘֎

ޘ҃֏Ăࡶࢋχ৔ͽ᜕ܲࢎಏ۞Ϲഇ̈́ CCR ፟έ۞யਕᄃ

ֹϡத౵̼̝̂ม۞८͕኏ࡎĂώ͛ͽᇥำޙ͟ဦ[14]̼

ྋĂᄮࠎᑕଠט CCR ፟έ݈˘࣎̍ү৭۞ய΍Ă֭ͽѩઇ ࠎ CCR ፟έயਕᄃֹϡத۞ଠט᜕̈́ܲ۞፟טĂ͞ਕχ৔

፟έᄃࢎಏ̝ม۞გந኏ࡎĂтဦ 6 ٙϯĄ

ϤٺԲณ۞̙֖ᄃயݡ჌ᙷតளٙౄј۞ CCR ֹϡ தᄃயਕຫεĂ׎ᙯᔣЯ৵дٺ CCR ፟έ݈˘̍ү৭۞ய

΍ĄტЪѩᙯᔣЯ৵᜕̈́ܲ CCR ፟έ۞፟טĂΞ൴ण CCR

፟έᄃܧ CCR ፟έม̝ࠁ̍ڱ݋Ąѩ˘ࠁ̍ڱ݋̶˟ొ̶

ซҖĂௐ˘ొ̶ࠎቁᄮ CCR ፟έ WIP ԲณனڶĂૄώໄ هߏĈֹ CCR ፟έ۞ WIP ഴ͌តளĂ׎ϫ۞дٺޙϲܲ

᜕ CCR ፟έ፟טĂ̈́ഴ̙͌Тயݡ჌ᙷٙ૲ֽ۞ೱቢॡ มĄௐ˟ొ̶ࠎ CCR ፟έ݈˘̍ү৭̝Բณࠁ̍ڱ݋Ă׎

͹ࢋໄهࠎ CCR ፟έ݈˘ΐ̍৭Ăᅮତצ CCR ༊৭۞Ϥ ޢـ݈ٛ۞ᜭጱ༼ݶĂϺӈĂܧ CCR ۞݈˘ΐ̍৭፟έĂ ᑕΐ̍ CCR ٙᅮ۞ WIPĂ׎߹඀̶ј 10 ࣎Վូ(ဦ 7)ֽે

ҖĂᖎࢗт˭Ĉ

ௐ˘ొ̶Ĉቁᄮᄃ̶ژ CCR ፟έ WIP னڶՎូĈ Վូ˘Ĉؠཌྷ̈́ཏ௡̼ CCR ፟έ۞யݡ჌ᙷ iĄ Վូ˟Ĉሹᕇ CCR ፟έ۞ᄦ඀჌ᙷ iĄ

ՎូˬĈቁᄮࢎಏଵԔᐹАᝋ Pi(priority),i=1~9[5]Ą ՎូαĈࢍზ CCR ፟έΞΐ̍ᄦ඀჌ᙷ Piᄃ፟έ౵̂ΐ

̍ԲณĄ

Վូ̣Ĉࢍზ CCR ፟έ̝ΐ̍ᅮՐԲณĄ ௐ˟ొ̶ĈCCR ݈˘̍ү৭̝Բณࠁ̍ڱ݋Վូ

Վូ̱Ĉؠཌྷ̈́ཏ௡̼ CCR ݈˘̍ү፟έ۞யݡ჌ᙷ PiĄ Վូ˛Ĉຩವᄃཏ௡ Pi࠹Т̝ᄦ඀ཏ௡ Pi(Ni)Ą

ՎូˣĈซҖ LQi(N_i)ᄃ RQ_i(P_i)Բณ̝̂̈ͧ၆Ą Վូ˝Ĉՙؠ CCR ݈˘̍ү৭ LQi(Ni)̝౵ޢࠁ̍ᅮՐĄ Վូ˩Ĉ௢ΐ CCR ݈˘̍ү৭ LQi(N_i)̝ࠁ̍ณĄ 2. ቁᄮ CCR ᄃ̶ژ፟έ WIP Բณனڶ

ώ͛д݈ࢬ̏ଯጱ΍кᇹ͌ณ۞Բณёΐ̍፟έᄃ

݈˘৭ΐ̍፟έĂѣ඾݈ޢ̢જ۞૜̷ᙯܼĂͷ CCR ፟έ

۞ WIP ՙؠҋ݈˘̍ү৭۞ய΍ĄЯѩĂტЪڒϜ࢐ă O'Nel ඈˠ[5, 10, 14]ٙ೩΍۞ࠁ̍ڱ݋ĂώࡁտᄮࠎĂቁ ᄮ CCR ፟έᑕᜭጱ CCR ݈˘̍ү৭۞ࠁ̍Ăֹ׎ய΍ࠎ CCR ፟έ WIP ٙᅮĂ҃׎ࢵࢋՎូĂдАቁᄮᄃ̶ژ CCR

፟έ׎ WIP ۞யݡ჌ᙷᄃԲณĂᚶ҃ͽѩઇࠎШ݈˘̍ү ৭೩΍ϠயᅮՐ۞፟טĄ

၆ٺቁᄮᄃ̶ژ CCR ፟έ WIP Բณனڶ̝ՎូĂᄲ ځт˭Ĉ

Վូ˘Ĉؠཌྷ̈́ཏ௡̼ CCR ፟έ۞யݡ჌ᙷ iĄ

၆ CCR ፟έٙਕΐ̍۞யݡ჌ᙷ޷੨̟͞ͽ̶

ܝҾᙷĂͷؠཌྷ̙Тயݡҭѣ࠹Т۞ᄦ඀੨͞ࠎ Т˘ཏ௡Ă֭ෛՏᄦ඀੨͞ཏ௡ᙷҾඈٺயݡᙷ Ҿ iĄ

Վូ˟Ĉሹᕇ CCR ፟έ۞ᄦ඀჌ᙷ iĄ

ሹᕇ CCR ፟έᄦ඀੨͞ཏ௡ Pi̝ WIP ᇴณĂͷ

૟׎ෛࠎயݡᙷҾ۞ WIPĂ֭૟׎ؠཌྷࠎயݡ Pi

Բณ̂̈ LQiĄ ՎូˬĈቁᄮࢎಏଵԔᐹАᝋĄ

Ϥ̏ۢ۞ TOC ٙؠ̝ᐹАΐ̍ଵԔ Priority[5]Ă ቁᄮௐ˘ΐ̍ଵԔᝋயݡ׎ٙᛳ۞ᄦ඀੨͞ཏ௡

ᙷҾĂ΄ྍཏ௡ࠎ PiĂࡶௐ˟ᐹАᝋயݡ݋ࠎ Pi+1Ă֭ͽѩᙷଯĄ

ՎូαĈࢍზ CCR ፟έΞΐ̍ᄦ඀჌ᙷ Piᄃ፟έ౵̂ΐ

̍ԲณĄࡶ LQi(Pi)ŸBQ ͷ LQi(Pi)ࠎ BQ ۞ࢺᇴĂ

݋ࢦаՎូ˟ĂซҖௐ˟ΐ̍ᐹАᝋயݡ Pi+1̝ WIP ̶ژĂࡶӎĂ݋ࢍზ CCR ፟έ̝ᅮՐԲณĄ

(7)

CCR WIP

i

CCR i

i LQi

CCR

i

CCR Pi(

Pi+1)

LQi(Pi)≥BQ LQi(Pi) BQ

CCR Pi

RQi(Pi)=|LQi(Pi)-(R×BQ)|

Ye s

N ΣRQi(Ni) < R×BQ(Pi) Yes

CCR N WIP

(Ni)

(Ni) = Pi

(Ni) WIP

(Ni) WIP = LQi(Ni)

Yes

LQi(Ni) = 0

No

No No

No N

RQi(Ni) = LQi(Ni)

LQi(Ni) ≥ RQi(Pi)

ဦ 7 CCR ፟έᄃ݈˘ΐ̍፟έม̝ࠁ̍ڱ݋߹඀ဦ

LQi

300

25 / 25 /

( 5)

75 125

100 LQ1

LQ2

LQ3

WIP

BQ = 150

ဦ 8 ԔЁ́Բณΐ̝̍Բณ̶೸ϯຍဦ

Վូ̣Ĉࢍზ CCR ፟έ̝ΐ̍ᅮՐԲณĄ

΄ᄦ඀ཏ௡̝੨͞Բณഴ CCR ༊ٙ͟ਕΐ̍۞

౵̂Բณ R ŰB Q ඈٺ CCR ᅮՐԲณ RQi(Pi)Ă ӈć

RQi(Pi)ŶĖLQi(Pi) - (R ŰBQ) Ė (8)

༊ቁᄮ RQi(Pi) ޢĂӈܑϯĂώࠁ̍͹ࢋ۞ĶϤ CCR ଠט݈˘̍ү৭ய΍ķᜭጱё̏ӘޙϲԆјĂ֭ͽѩᜭጱ

ёฟؕᚶᜈซҖՎូ̱(֍˭ࢬ̈༼)ĈCCR ݈˘̍ү৭̝

ΐ̍፟έ۞ࠁ̍Ą

3. CCR ݈˘̍ү৭̝Բณࠁ̍ڱ݋

ϤٺΗጱវ፟έΐ̍͞ё̶ࠎԔЕăొ̶ాᜈăԲณ

̈́Բณాᜈඈα჌ݭёĄ઄నĂߙயݡࢎಏࠎ 300 ͯĂд ᄃ׎ιயݡ஄ቢϠய̝ޢĂٺௐ N Ѩ۞ԔЕݭ፟έΐ̍

ॡĂ̎జ̶೸јᇴ࣎̈ԲณĂࡶ׎˭˘̍ү৭ࠎԲณݭΐ

(8)

̍፟έĂ݋ѣ൑ڱ႕ྶ̝ᇋĄ

тͽဦ 8 ٙϯ̝ԔЕᄃԲณΐ̍ր௚ࠎּĄдԲณݭ ΐ̍፟έ˯Ă׎ՏѨٙਕΐ̍۞౵̂टณ BQ ࠎ 150 ͯĂ

҃׎݈˘ΐ̍৭Вѣ 5 έԔЕёΐ̍፟Ăдΐ̍࠹Т۞ᄦ

඀੨͞ॡĂՏ˘Ѩ۞ᇾ໤ॡมࠎ 1 ̈ॡĂՏ˘Ѩ۞ΐ̍Բ ณࠎ 25 ͯĄࡶѣ˘யݡࢎಏԲณ LQiࠎ 300 ͯĂ઄నѩ፟

έإѣ׎ιயݡ۞ WIP ॡĂ݋д݈ޢˬ߱ॡม۞ΐ̝̍

ޢĂ׎யݡԲณజ̶೸ࠎ LQ1=75 ͯăLQ2=125 ͯăLQ3=100

ͯĄЯѩĂޝځព۞Ξͽଂဦ 8 ࠻΍д̙Т۞ॡม྆Ąྍ

Բณݭΐ̍፟έ۞ WIPĂLQ1ăLQ2ăLQ3Տ˘̈Բณ LQi

࠰Ϗਕ႕֖ྍ፟έٙਕΐ̝̍౵̂टณ BQ ۞ 150 ͯĄ ѩன෪၆Ϡயგந۰҃֏Ăΐ̍ᄃӎΪѣ˟ีᏴፄĂ

˘ߏͽඈ࣏ॡม͞ёĂ༊Բณ LQi(Pi)Ÿ౵̂Բณ BQ ॡĂ

̖ฟؕซҖ፟έ۞ΐ̍Ăֹ଀ྍ፟έ۞Բณਕૉ႕ྶĄ˟

ߏຫε፟έ۞ొ̶யਕĂࠎឰ፟έ̙൴Ϡยཉ۞ېڶ˭Ă გந۰Ᏼፄ̙ඈޞ׎ϊԲณĂдΞΐ̍Բณ LQi(Pi)Ŵ౵

̂Բณ BQ ̝ॡĂۡତซҖΐ̍፟έ۞ΐ̍Ą఺˟ีᏴፄ ၆யਕໂ̂۞ܧ CCR ፟έĂд੠Ր፟έԲณ႕ྶٕயݡϹ ഇ۞გநᒻड़˯Ă̂ొ̶ॡ࣏ߏజ̯ధ۞Ą൒҃၆ CCR

፟έ҃֏Ăд᜕ܲயਕ۞ᒻड़݈೩˭Ăѩ˟჌͞ё࠰̙ਕ జତצĄЯѩĂώࡁտΞӀϡё(8)ٙ଀̝ RQi(Pi)Ăᜭጱ CCR ݈˘̍ү৭̝ࠁ̍ڱ݋Ă̈́׎ய΍ณ۞តளĂᚶֹ҃

CCR ፟έ۞ WIP Բณਕצז᜕ܲĄ

၆ٺ CCR ݈˘̍ү৭̝Բณࠁ̍ڱ݋Ă׎Վូᄲځ т˭Ĉ

Վូ̱Ĉؠཌྷ̈́ཏ௡̼ CCR ݈˘̍ү፟έ۞யݡ჌ᙷ PiĄ

޷ CCR ̶ٙܝҾᙷ̝ᄦ඀ཏ௡ iĂซҖ݈˘ΐ̍

৭யݡ WIP ۞ሹᕇĂ֭΄Чᄦ඀ཏ௡ࠎ(Ni)Ăሹ ᕇٙ଀̝யݡԲณ̂̈ࠎ LQi(Ni)Ą

Վូ˛Ĉຩವᄃཏ௡ Pi࠹Т̝ᄦ඀ཏ௡ Pi(Ni) Ą ຩವᄃཏ௡ Pi࠹Т̝ᄦ඀ཏ௡ Pi(Ni)Ă֭΄׎ᄦ

඀ཏ௡Բณࠎ LQi(Ni)Ą

ՎូˣĈซҖ LQi(Ni)ᄃ RQi(Pi)Բณ̝̂̈ͧ၆Ą

ࡶ LQi(Ni)Ÿ0Ă݋ซҖ LQi(Ni)ᄃ RQi(Pi)Բณ̂̈

̝ͧ၆Ăࡶ LQi(Ni)Ŷ0Ă݋аזՎូ˟ĂซҖௐ

˟ଵԔᐹАᝋயݡ Pi+1̝ࠁ̍Ą

Վូ˝Ĉՙؠ CCR ݈˘̍ү৭ LQi(Ni)̝౵ޢࠁ̍ᅮՐĄ

ࡶ LQi(Ni)ŸRQi(Pi)Ă݋ LQi(Ni)̝ᄦ඀Բณӈࠎ CCR ݈ ˘ ̍ ү ৭ ̝ ࠁ ̍ Բ ณ Ă ࡶ LQi(Ni) Ŵ RQi(Pi)Ă݋ซҖՎូ˩Ą

Վូ˩Ĉ௢᎕ CCR ݈˘̍ү৭ LQi(N)̝ࠁ̍ณĄ

༊∑LQ_i(N_i)ٕ∑RQ_i(N_i)̂ٺ CCR ˘̍ү৭༊

ٙ͟ਕΐ̝̍౵̂Բณ R ŰB Q(N)ॡĂ݋ඕՁࠁ

̍Ą

αă၁ּរᙋ

ࠎរᙋώ͛ٙ೩۞࣒ϒࠁ̍ڱ݋Ăͽߙ M ̳ΦΗጱវ

Work-Stream Lot

iInformix SQL Excell

Input

data Download

data

Download data

ဦ 9 ྤफ़ᕜפᄃរᙋ߹඀

೿๪ᇄࠎࡁտ९ּĂซҖࠁ̍ڱ݋۞ΞҖّᄃјड़រᙋĄ ώរᙋ͹ࢋϫ۞ѣ˟ĂࢵАĂរᙋώࡁտࠁ̍ڱ݋ᑕϡٺ ၁ᅫ WIP ྤफ़˭ĂЧࠁ̍Վូ۞ទᏭߏӎਕ඀ё̼Ąௐ

˟Ăរᙋώࡁտࠁ̍ڱ݋ߏӎਕ૟யݡ჌ᙷ i ࢫҌ౵͌Ă ͽ̈́ឰ CCR ፟έ WIP Բณ LQiᔌܕ፟έ౵̂ΐ̍Բณ BQ

۞ࢺᇴĄ׎រᙋᄃ߹඀Ăтဦ 9 ٙϯĄࢵАĂώࡁտӀϡ SQL ඀ёҋҨڇጡྤफ़ऱ̚Ăפ଀ߙ̝͟ᒠม WIP யݡ̶

Ҷېڶྤफ़Ą༊ྤफ़פ଀̝ޢĂତ඾ͽ Excel ۞ᇽ৸̶ژ

̍׍Ăങˢώࡁտ۞ֹϡத/யਕຫε̶ژሀёĄ҃ޢᑕϡ

׎בᇴΑਕĂٺЧᐼхॾ̚Ă૟ώࡁտ۞ࠁ̍ڱ݋Ăᇤᆷ јבᇴ̳ёĂ౵ޢГͽܑಏॾ̼ពϯ౵ޢࠁ̍۞ඕڍĂᖣ ϤܑЕё۞ᖎಏّĂֹࠁ̍ڱ݋۞រᙋĂਕ˘ϫᒢ൒Ą

1. Ϡயᒖဩᄃ઄న

ώࡁտ۞९ּ M ̳Φ೿๪ᇄ̝Ϡயᒖဩ̈́઄న୧І т˭Ĉ

(˘) CCR ፟έᏴؠࠎᚤგউ̼፟έĂ׎݈˘ΐ̍৭Ᏼؠࠎ

ొ̶ాᜈݭΐ̍፟۞̼ጯ୻߾ᄦ඀፟έĄ

(˟) ᚤგ፟έ̝Տ˘࣎ΐ̍ᄦ඀੨͞Ă׎ΐ̍ॡม̈́Տ͟

Ξΐ̝̍Ѩᇴ R (runs)࠰ࠎ̏ۢĄ

(ˬ) ώࡁտ̝ᚤგ፟έཏ௡ĂߏϤЧҋ፾ϲ۞ n έᚤგ፟

ٙ௡јĂ׎Տέ۞Ξΐ̍ᄦ඀࠰࠹ТĄҭՏѨͽ˘έ ᚤგ፟έࠎࢨซҖࠁ̍Ă༊ྍᚤგ፟έ༊͟۞ΞΐѨ ᇴ R ႕ྶޢĂ͞ΞซҖ˭˘ᚤგ፟έ۞ࠁ̍Ą (α) ᚤგ፟έ݈˘ΐ̍৭۞̼ጯ୻߾፟யਕĂᅈ̂ٺ CCR

፟έཏ௡۞ᓁயਕĂ˵ಶߏྍ፟έࠎயਕໂ̂۞ܧய ਕצࢨྤ໚፟έĂϺӈܧ஬ᐚ፟έ۞யਕֹ̈́ϡத̙

̟੅ኢᄃ҂ᇋĄ

(̣) ᚤგ፟έ̝ՏѨΐ̍Բณᇴࠎ 6 Բ(lots)ٕ 150 ͯĄ (̱) д၁ચ˯Ăᚤგ፟έ̝ՏѨΐ̍ॡม SPTiĂົЯࠎᄦ

඀੨̙͞Т҃ѣ̙ٙТĂҭߏࠎ˞ֹរᙋᒖဩಏ৷

̼Ăώࡁտ઄నՏ˘Ѩ۞ᄦ඀੨͞࠰࠹ТĂ༊͟ΐ̍

ॡม۞ SPTiࠎ 4 ̈ॡĂ༊͟۞Ξΐ̍ॡมࠎ 20 ̈ॡĂ ЯѩĂᚤგ፟έ༊͟۞౵̂ΐ̍Ѩᇴ R (max runs)ඈٺ 5 Ѩ(20 ̈ॡ/4 ̈ॡ)Ą

(9)

ܑ˟ யݡ჌ᙷ WIP ̝ᇽ৸̶ژܑ

ΐᓁ/pcs Operation Date Product Recipe Pre_CCR CCR 20010326 D38A D 150

D1 50 350

D38B D 50

D1 900

D38C D 250

D38D D 50

F409 F 50

F4099 F 50

F409A F 50 50

L351 L 13

L351A L 13

L651 L 500

L651A L 500

L1 175

L651B L 25

L651C L 75

L651E L 150

O454 O 75

P505 P 100

P508 P 50

P50B P 100

S45B S 200

ᓁࢍ 2626 1350

ࢍᇴ/product 12 12

2. ࠁ̍ڱ݋̝ WIP ཏ௡̼

ώࡁտͽ SQL ඀ёᄬ֏ҋ M ̳Φ೿๪ᇄҨڇጡྤफ़ ऱ̚Ăଂજၗ WIP ̚Ăᕜפߙ˘͟۞˘߱ॡม̝ᒠมᐖၗ

WIP ྤफ़Ąͽ Excel ᇽ৸̶ژ̍׍Ăങˢώࡁտ۞፟έֹ

ϡதᄃயਕຫε̶ژሀёĂ˵ಶߏ၆ CCR ፟έᚤგᄃ݈˘

ΐ̍৭̼ጯ୻߾፟ĂซҖώࠁ̍ڱ݋۞Վូ˘̈́Վូ˟̝

WIP ቁᄮᄃ̶ژĄдϏགྷᄦ඀੨͞ཏ௡̼̝݈Ă׎யݡ჌

ᙷ WIP ̝ᇽ৸̶ژܑĂтܑ˟ٙϯĄགྷϤᇽ৸̶ژΞۢϤ ᒠมᕜפ۞ WIPĂ׎ CCR ݈˘ΐ̍৭(Pre_CCR)̈́ CCR

༊৭̝யݡཏ௡(product)჌ᙷ i ̶Ҿѣ 12 ჌Ăᓁ WIP Բณ LQ_i݋̶Ҿࠎ 2626 ͯ̈́ 1350 ͯĄ

Ϥܑ˟ϺΞ଀ۢĂՏ˘჌யݡ൑ኢߏ CCR ݈˘ΐ̍

৭(Pre_CCR)ٕ CCR ༊৭Ăౌѣొ̶࠹Т۞ᄦ඀੨͞

(recipe)ĄТᇹГซҖ˘Ѩͽᄦ඀੨͞ࠎ̝۞ᇽ৸̶ژĂ׎

ٙ଀тܑˬ̝ν˭֎ડાٙϯĄдགྷϤᄦ඀੨͞ཏ௡̼۞

ᇽ৸̶ژޢĂ׎ CCR ݈˘ΐ̍৭(Pre_CCR)̈́ CCR ༊৭̝

ᄦ඀੨͞(recipe) i ̶ҾࢫҌࠎ 6 ᙷ̈́ 7 ᙷĂҭᓁ WIP Բณ LQ_i݋̙צཏ௡̼۞ᇆᜩĂ̶̪Ҿࠎ 2626 ͯ̈́ 1350 ͯĄ Ω˘͞ࢬĂϤܑ˟ܑ̈́ˬซҖͧྵޢĂΞ൴ன̙Ϊߏ ཏ௡̼̝ޢ҃ᆧΐ˞Ąѩன෪˵ײᑕ˞ώࡁտٙ೩۞Ķ૟

யݡ჌ᙷ i ۞ᇴณࢫҌ౵͌Ă݋ CCR ፟έѣड़ֹϡத EU

ܑˬ ᄦ඀੨͞ WIP ̝ᇽ৸̶ژܑ

ΐᓁ/pcs Operation Date Recipe Pre_CCR CCR 20010326 D 150 350

F 100 100

L 1026 250

O 0 75

P 200 50

S 200 0

D1 950 350

L1 0 175

20010326 ̈ࢍ 2626 1350

ࢍᇴ/Recipe 6 7

Ξ଀ז౵ָ۞ӀϡĄķ۞ኢᕇĂТॡ˵Ԇјώࠁ̍ڱ۞Վ

ូ˘̈́Վូ˟Ą

3. ࠁ̍ڱ݋̝בᇴ̳ёޙϲ

ٚ˯༼̝ᚤგ፟έ WIP ཏ௡̼۞ᇽ৸̶ژܑ۞ඕ ڍĂᚶᜈͽ Excel ٙ೩ֻ۞בᇴΑਕĂۡତ૟ՎូˬҌՎ

ូ˩۞̳ё̈́ទᏭĂᇤᆷങˢٺܑαᇽ৸̶ژܑ̰۞Чᐼ хॾ྆Ą׎͹ࢋϫ۞дֹώࡁտ̝ CCR ݈˘ΐ̍৭ࠁ̍ڱ

݋Ăͽܑॾ۞ᖎಏ̼পّĂឰפҋٺ M ̳Φ۞ᒠมᐖၗ

WIP ၁ּĂਕૉ˘ϫᒢ൒۞ᒔ଀ΞҖّរᙋĄ 4. ࠁ̍ڱ݋̝ેҖඕڍ̶ژ

གྷ࿅ٙޙϲ࠹ᙯ۞בᇴ̳ёĂГΐˢ CCR ۞ DBR ࠁ

̍ღ࢝ࣃ CR[5]ĂેҖྻზĂӈΞᒔ଀тܑ̣ٙϯ۞ CCR

݈˘ΐ̍৭̝ᐖၗࠁ̍ેҖඕڍĄ

੫၆ CCR ፟έ݈˘ΐ̍৭̝ᐖၗࠁ̍۞ેҖඕڍĂ ώࡁտಶᐖၗࠁ̍ેҖඕڍĂ၆ώࠁ̍ڱ݋۞Բณݭ CCR

፟έ۞ WIP ԲณĂߏӎਕ᜕ܲ፟έ۞౵ޢய΍ᄃֹϡதĂ ซҖͧྵ̶̈́ژĄ׎̶ژт˭Ĉ

(˘) дϏ҂ᇋ CCR ፟έ݈˘ΐ̍৭۞ய΍ॡĂCCR дԲ ณ˯۞ΐ̍щଵĂͽ˘͇౵̂Բณΐ̍Ѩᇴ R ඈٺ 5

۞ࢨט̝˭Ă༊͇ᚤგউ̼፟έд DBR ۞ღ࢝ࣃ CR ඈٺ 3 ۞ᄦ඀ཏ௡ॡĂӈז྿༊͟۞Ξΐ̍Ѩᇴ R ۞

౵̂ໂࢨĄॲፂώࡁտ۞ё(5)ăё(6)ăё(7)۞ሀёĄ

༊͟ CCR ۞నࢍயਕ CD ࠎ 5×150Ŷ750 ͯĂѣड़ய ਕ CE ࠎ 600 ͯĂயਕຫε CL ࠎ 750-600Ŷ150 ͯĄ

҃Ω˘͞ࢬĂCCR ፟έ۞Բณ LQi(P3)إѣ 100 ͯ (250-150=100)Ϗΐ̍Ă˵ಶߏ CCR ፟έੵ˞ѣயਕ ຫε̝γĂإѣ 100 ͯ۞ WIP ЯϏΐ̍҃Ϗצז᜕ܲĄ (˟) ༊ CCR ፟έ WIP གྷ࿅ᄦ඀ཏ௡̼̈́ͽ CCR ፟έᜭጱ

݈˘ΐ̍৭۞ࠁ̍ޢĂCCR ፟έ༊৭۞ WIP Բณ LQi(P1)ăLQi(P2)ăLQi(P3) ݒ̶Ҿ۞ᆧΐĂ֭ͷᔌܕ ٺ౵̂ΐ̍टณ BQ=150 ͯ۞ࢺᇴĂ̶Ҿࠎ LQi(P1) =

(10)

ܑα ཏ௡̼ޢ̝ᄦ඀੨͞ᄃങˢࠁ̍ڱ݋̝ᐼхॾבᇴ Batch size 150 Pcs ƕ ᐼхॾ B1

Max runs 5 Runs ƕ ᐼхॾ B2 ᐼхॾ C1

ΐᓁ/pcs Operation ᐼхॾ D1 ᐼхॾ E1 ᐼхॾ F1 ᐼхॾ G1 ᐼхॾ H1 ᐼхॾ I1 ᐼхॾ J1 Date Recipe Pre_CCR CCR Runs of

AVG Need runs Pcs of request

Final

request Output Dispatch ? 20010326 D 150 350 =D1/B1 =ROUNDU

P(E1,0)

=IF(C1>0, ABS(F1*B 1-D1),0)

=IF(C1<G1 ,C1,G1)

=H1+D1+(

I1-1)

=IF(I1>(B2*B 1),"STOP","NE

XT")

F 100 100

L 1026 250

O 0 75

P 200 50

S 200 0

D1 950 350

L1 0 175

20010326 ̈ࢍ 2626 1350

ࢍᇴ/Recipe 6 7

ܑ̣ CCR ݈˘ΐ̍৭̝ᐖၗࠁ̍ેҖඕڍ

Batch size 150 Pcs

Max Runs 5 Runs

ΐᓁ/pcs Operation

Date Recipe Pre_CCR CCR CR of DBR

Runs of AVG

Need runs

Pcs of request

Final

request Output Dispatch ? 20010326 D 150 350 1 2.33 3.00 100 100 450 NEXT

F 100 100 2 0.67 1.00 50 50 600 NEXT L 1026 250 3 1.67 2.00 50 50 900 STOP O 0 75 4 0.50 1.00 0 0 975 STOP P 200 50 5 0.33 1.00 100 100 1125 STOP S 200 0 6 0.00 0.00 0 0 1125 STOP

D1 950 350 7 2.33 3.00 100 100 1575 STOP L1 0 175 8 1.17 2.00 0 0 1750 STOP

20010326 ̈ࢍ 2626 1350

ࢍᇴ/Recipe 6 7

ᄲځĈRecipe(ᄦ඀੨͞)ćPre_CCR(CCR ݈˘ΐ̍৭ WIP)ćCCR(CCR ΐ̍৭ WIP)ćCR of DBR(DBR ۞ღ࢝ࣃ)ćRuns of AVG(πӮ۞ΐ̍ᇴ)ćNeed runs(ᅮՐ۞ΐ̍ᇴ)ćPcs of request(CCR ᅮՐ۞ΐ̍Բณ)ćFinal request(CCR ౵ޢ۞ΐ

̍ᅮՐԲณ)ćOutput(CCR ౵ޢ۞ WIP)ćDispatch ?(CCR ߏӎᚶᜈࠁ̍)

350 + 100 = 450 ͯ LQi(P2) = 100 + 50 = 150 ͯăLQi(P3)

= 250 + 50 = 300 ͯĄдТᇹ۞౵̂Բณΐ̍Ѩᇴ R ඈ ٺ 5 ۞ࢨט̝˭Ăᔵ൒˘ᇹ˵ߏд DBR ۞ღ࢝ࣃ CR ඈٺ 3 ۞ᄦ඀ཏ௡ॡĂӈז྿༊͟۞Ξΐ̍۞౵̂ໂ ࢨĄҭߏĂͽώࡁտ۞ё(5)ᄃё(6)̝រᙋ˭Ă༊͟۞

నࢍயਕ CD ˘ᇹࠎ 5 Ű150Ŷ750 ͯĂ҃ѣड़யਕ CE ݒΞ྿ 750 ͯĂॲፂё(7)۞រᙋĂCCR ፟έ۞யਕຫ ε CL ົߏ 750-750Ŷ0 ͯĂ˵ಶߏ༊͟۞ CCR ፟έ

֭൑யਕຫε۞ன෪Ă҃ͷ CCR ፟έ༊͟۞ WIP Բ ณ LQi࠰ࣣрඈٺ౵̂Ξΐ̍टณ BQ ۞ࢺᇴĂЯѩĂ

CCR ፟έ۞ WIP ҋ൒۞צז᜕ܲĄ

(ˬ) д CCR ፟έ۞ѣड़ֹϡத͞ࢬĂдϏ߉Җώࠁ̍ڱ݋

̝݈ĂCCR ፟έ۞ WIP ߏͽயݡ჌ᙷ i ࠎ͹ࢋ۞ཏ௡

̶ᙷĂགྷ࿅ጱˢώࡁտࠁ̍ڱ݋̝Վូ˘̈́Վូ˟̝

ޢĂϤܑ˟ܑ̈́ˬٙᒔ଀۞ᇽ৸̶ژඕڍĂ˟۰࠹̢

ͧྵΞͽۢ྽ĂCCR ፟έ۞ WIP யݡ჌ᙷ iĂϤͽய ݡ̶ᙷԼјͽᄦ඀ཏ௡۞̶ᙷĂ׎ᄦ඀੨͞჌ᙷ i ۞ ᇴณϤ 12 ᙷࢫҌ 7 ᙷĄ઄నĂՏѨ۞ೱቢॡมࠎ 30

̶ᛗĂ֤ᆃॲፂώࡁտ۞ё(1)រᙋĂдࠁ݈̍۞ೱቢ ᓁॡม STi ࠎ(12-1)×30=330 ̶ᛗĂ҃дࠁ̍ޢ۞ೱቢ

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ܑ̱ ࠁ݈̍ޢ WIP ̝௚ࢍܑ

யݡ̶ᙷ WIP

ᄦ඀ཏ௡̶ᙷ WIP

ࠁ̍ޢᄦ඀ཏ௡̶ᙷ WIP

πӮᇴ 112.50 πӮᇴ 192.86 πӮᇴ 250.00

ிᇴ 50.00 ிᇴ 350.00 ிᇴ 450.00 ઐၗ 1.55 ઐၗ 0.30 ઐၗ 0.55

࣎ᇴ 12.00 ࣎ᇴ 7.00 ࣎ᇴ 7.00

ᓁॡม STi ࠎ(7-1)×30Ŷ180 ̶ᛗĂࠁ̍ޢ۞ೱቢᓁॡ ม STi=180 ̶ᛗ̈ٺࠁ݈̍۞ೱቢᓁॡม STi=330 ̶ ᛗĄ઄నĂ༊͟۞ΐ̍Ѩᇴ R ࠎ˘׽ؠ૱ᇴĂ҃ՏѨ

۞ΐ̍ᇾ໤ॡม PT ࠰࠹ТĂ݋༊͟ CCR ፟έдࠁ̍

݈ޢ۞፟έѣड़ֹϡதĂдё(3)۞រᙋĂSTi ෸̈݋

፟έ۞ѣड़ֹϡத෸੼ĂॲፂѩរᙋඕኢΞ଀΍ĂЯ ࠁ̍ޢ۞ᓁೱቢॡม STi ̈ٺࠁ݈̍Ăٙͽࠁ̍ޢ۞

፟έֹϡதྵ੼Ă˵ಶߏ CCR ፟έ۞ѣड़ֹϡதЯώ ࠁ̍ڱ݋҃צז᜕ܲĄ

5. ᒻड़޽ᇾ̶ژ

Ϥܑ˟ăˬặˬ௡ྤफ़ពϯĂᇆᜩ CCR ፟έֹϡ த۞யݡ჌ᙷ i ᄃᇆᜩ CCR ፟έயਕ۞Բณ LQiĂ̈́˯˘

̈༼ٙ଀۞̶ژඕኢĂֹϡώࠁ̍ڱ݋Ξͽᒔ଀̙᏾۞၁ ኳܑனĄ൒҃Ă༊˘Ҝგந۰дෞҤߏӎጱˢ͔ϡາր௚

ॡĂࡶਕ೩ֻ࠹ᙯ۞௚ࢍ޽ᇾĂ࠹ܫυਕઇ΍Հָ۞ՙඉĄ ЯѩĂώࡁտဘྏͽዋϡٺώࠁ̍ڱ݋۞௚ࢍጯ޽ᇾĂГ ซҖᒻड़޽ᇾ۞̶ژĄࢵАĈӍˠಶώࡁտ̝ࠁ̍ڱ݋۞

ેҖ࿅඀ᄃඕڍٙ଀۞˯ࢗˬ௡ WIP ྤफ़ĂӀϡ Excel ۞

ྤफ̶़ژ̍׍Ă଀΍ೀีࢦࢋᒻड़޽ᇾĂтܑ̱ٙϯĄଂ

ܑ˯̝ᇴфઇ˘࣎ͧྵᄲځт˭Ĉ (˘) யݡ჌ᙷᇴ i ۞ᇹώ࣎ᇴͧྵĈ

ࠁ݈̍࣎ᇴࠎ 12Ăࠁ̍ޢ࣎ᇴࠎ 7Ąඕኢࠎࠁ̍ޢѣ

ྵָ۞ᒻड़ܑனĄ (˟) LQi(Pi)πӮᇴᄃிᇴͧྵ

யݡ̶ᙷ WIP ࠎĈ112.5 ͯᄃ 50 ͯĄࠁ݈̍ᄦ඀ཏ

௡̶ᙷ WIP ࠎĈ192.86 ͯᄃ 350 ͯĄࠁ̍ޢᄦ඀ཏ௡

̶ᙷ WIP ࠎĈ250 ͯᄃ 450 ͯĄඕኢࠎĈࠁ̍ޢᄦ඀

ཏ௡̶ᙷ۞ྤफ़௡Ă׎ LQi(Pi)πӮᇴ౵̂Ă҃ிᇴ˵

ࣣр႕֖౵̂ΐ̍टณ BQĂ߇׎ᒻड़ܑன౵ָĄ (ˬ) LQi(Pi)۞ WIP ̝૱ၗ̶੨ܼᇴͧྵ

(1) ࠁ݈̍ͽயݡཏ௡ࠎ̶ᙷ۞ WIP ̶ҶĂ׎ிᇴ ࠎĈ50 ͯᅈ̈ٺ BQĈ150 ͯĂઐၗܼᇴࠎĈ1.72

ͯĂ׎ᗓ̚ᔌ๕ྵ೸ĄЯѩĂώ௡ WIP ̶Ҷ۞۞

ᒻड़ܑன౵मĄ

(2) ࠁ̝̍ܐͽᄦ඀ཏ௡ࠎ̶ᙷ۞ WIP ̶ҶĂઐၗܼ

ᇴࠎĈ0.30Ă׎ᗓ̚ᔌ๕౵ะ̚ĂҭிᇴࠎĈ350

ͯĂ׎ᄃ౵̂ΐ̍टณ BQ×3 ࠎ 450 ͯĂ࠹ྵ̝˭Ă

׎யਕຫεࠎĈ(450-350)Ŷ100 ͯĄЯѩĂώ௡

WIP ̶Ҷ۞ᒻड़ܑனإΞĄ

(3) ࠁ̍ޢͽᄦ඀ཏ௡ࠎ̶ᙷ۞ WIP ̶ҶĂ׎ிᇴĈ 450 ࣣͯрඈٺ BQ×3Ĉ450 ͯĂઐၗܼᇴࠎĈ0.55Ă ᗓ̚ᔌ๕ϺჍะ̚ĄЯѩĂώ௡ WIP ̶Ҷ۞ᒻड़

ܑன౵ָĄ

ტЪ(1)ă(2)ă(3)۞ᒻड़޽ᇾĂࠁ̍ޢ۞ᄦ඀ཏ௡ WIPĂ

׎ᒻड़޽ᇾѣ඾౵ָܑனĄ

̣ăඕ ኢ

ώࡁտᑕϡࢨטநኢ۞៍ᕇĂ੫၆Ћຽ౵ޢய΍۞ր

௚͹ࢋࢨטĈயਕצࢨྤ໚ CCRĂ̶ژдкᇹ͌ณ۞ WIP

˭Ă׎፟έֹϡத̈́யਕຫε̶ژሀёĄഇਕ၆யݡ௡Ъă யਕఢထ̈́Ϡய۞ݬۡგᆸந۰Ăдგந˯ਕк˘ี҂ᇋ ᇆᜩய΍۞ણ҂Ă֭ઇ΍Հр۞ՙඉĄ

ώ͛၆ٺ CCR ࠁ̍۞֎ޘᅟତ׎፟έֹϡத̈́யਕ ຫε۞̶ژሀёĂޙϲ᜕ܲ፟έֹϡதᄃயਕຫε̝ࠁ̍

ڱ݋Ă׎͹ࢋߏͽࢨטநኢٙ൴ण҃΍۞ࢨטᜭጱёࠁ̍

ڱࠎૄᖂĂॲፂ׎ͽϹഇ CR ࣃᄃ᜕ܲ WIP ቤ኏۞ࣧ݋Ă

̟ͽ࣒ϒࠎͽ CCR ፟έ WIP ᜭጱ݈˘ΐ̍৭ய΍۞ࠁ̍

ڱ݋ĂֹԲณݭ۞ CCR ፟έ WIP צז᜕ܲĂᚶ҃ឰ CCR

፟έֹϡதਕ̈́யਕצז᜕ܲĄώࡁտ၁ּͽ M ̳Φ۞ߙ

͟ᒠมᐖၗ WIPĂགྷϤ Excel ۞ᇽ৸̶ژ̈́בᇴ۞រᙋĂ Ξͽቁᄮώࡁտ۞࣒ࢎޢ̝ࢨטநኢࠁ̍ڱ݋ߏ׍ѣΞҖ

ّĄ҃дᒻड̶़ژ͞ࢬĂགྷЧ჌௚ࢍᇴፂពϯĂᄲځ M ̳ Φ۞ߙ͟ᒠมᐖၗ WIPĂдጱˢώࡁտ̝ࠁ̍ڱ݋Ăѣໂ

ָ۞ᒻड़ܑனĄ

ώࡁտ͹ࢋଣ੅ᄃ̶ژĂଂயݡ௡ЪᄃயਕఢထĂГ Ҍ፟έֹϡதᄃயਕ۞̶ژĄ౵ޢГͽࠁ̍ڱ݋ઇࠎր௚

ய΍۞ԼචĂტЪ៍̝ĂΞፋநͽ˭ඕኢĈ

1. ॲፂώሀё̶ژΞۢĂкᇹ͌ณ۞யݡ჌ᙷ i ၆ CCR

ົயϠ፟έѣड़ֹϡத̈́யਕ۞ຫεĂѩ˘ሀё̶ژѣ ӀٺЧ࠹ᙯᆸҾ۞გந۰Ăдՙඉ˯к˘ี҂ᇋЯ̄Ą 2. ॲፂ CCR ፟έ WIP ۞ቁᄮᄃ̶ژඕڍĂΞͽᜭጱ݈˘

̍ү৭۞ࠁ̍Ăᚶ҃ഴ͌ CCR ༊̍ү৭۞ WIP ჌ᙷ iĄ 3. གྷϤ CCR ᜭጱ݈˘̍ү৭۞ࠁ̍۞ТॡĂWIP ჌ᙷ i

˵Ξͽ଀ז౵ତܕ౵̂ΐ̍टณ BQ ࢺᇴ۞Բณ LQiĂ

ֹ CCR ۞யਕдՏѨ࠰ਕ౵ତܕ႕ྶԲณΐ̍Ăᚶ҃

ࢫҲயਕ˯۞ຫεĄ

4. ༊ LQiԲณត̝̂ޢĂ࠹၆۞Ă׎ೱቢѨᇴᄃೱቢॡม Ϻᐌ̝ഴ͌Ăᚶ᜕҃ܲ CCR ፟έ۞ѣड़ֹϡதĄ 5. CCR ፟έ၆݈˘ΐ̍৭Ă೩΍ྍΐ̦̍ᆃயݡᄃྍΐ

̍к͌ณ۞ᅮՐ̝ࠁ̍ڱ݋ĄѩሀёдԼតܧצࢨயਕ

ྤ໚፟έܜ˳ͽֽ۞ࠁ̍ሀёĂ˵ಶߏĂ૟ѣ̦ᆃயݡ ಶΐ̦̍ᆃயݡ۞̶೸ёࠁ̍ሀёĂᖼೱࠎ޽ؠΐ̍প ؠயݡ۞ะ̚ёࠁ̍ሀёĄ

(12)

௑ཱི৶͔

BQ CCR ፟έಏѨ۞౵̂ΐ̍टณ CD CCR ፟έ༊͟۞నࢍயਕ

CE(C) ፟έ C ༊͟۞ѣड़யਕ

CL CCR ፟έ༊͟۞யਕຫε EU CCR ፟έѣड़ֹϡத LQi யݡ i ՏಏѨ۞ΐ̍Բณ Pi யݡ i ჌ᙷ

Pi ࢎಏᐹАᝋ(priority) PT ᓁΐ̍ॡม

PTi யݡ i ۞ᇾ໤ΐ̍ॡม R ΐ̍۞Ѩᇴ

STi ࠎᓁೱቢॡม ST ࠎ CCR ՏѨೱቢॡม WT Տ͟Ξΐ̍ॡม

ણ҂͛ᚥ

1. Cowling, P., “A Flexible Decision Support System for Steel Hot Rolling Scheduling,” Computer and Industrial Engineering, Vol. 45, No. 2, pp. 307-321 ( 2003).

2. Kawata, Y., Mprikawa, K., Takahashi, K., and Nakamura, N., “Robustness Optimization of the Minimum Makespan Schedules in a Job Shop,” International Journal of Technology and Management, Vol. 5, No. 1/2, pp. 1-9 (2003).

3. Morizawa, K., Sun, X., and Nagasawa, H., “Squeezing Branch and Bound Algorithm for the Machine-Fixed, Machining-Assembly Flowshop Scheduling Problem,”

International Journal of Technology and Management, Vol. 5, No. 1/2, pp. 20-27 ( 2003).

4. ӓᕃዂăՂၷෳĂࢨטᜭጱёனಞଵ඀ᄃგநԫఙĂ Бර३ԊĂέΔ(1999)Ą

5. ڒϜ࢐ĂĶࢨטᜭଵ඀͞ڱд೿๪ᇄเЍડ̝ᑕϡķĂ Ⴧ̀ኢ͛Ă઼ϲϹ఼̂ጯĂາѻ(2000)Ą

6. Lee, T. N., and Plenert, G., “Maximizing Product Min Profitability – What’s the Best Analysis Tool,” Production Planning and Control, Vol. 7, No. 6, pp. 547-556 (1996).

7. Lee, T. N., and Plenert, G., “Optimizing Theory of Constraints When New Product Alternatives Exits,”

Production and Inventory Management Journal, Vol. 34, No. 3, pp. 51-57 (1993).

8. Luebbe, R., and Finch, B., “Theory of Constraints and Linear Programming: a Comparison,” International Journal of Production Research, Vol. 30, No. 6, pp. 1471-1478 (1992).

9. Hoitomt, D. J., and Luh, P. B., “Scheduling a Batch Processing Facility,” IEEE Transactions on Semicon- ductor Manufacturing, Vol. 5, pp. 1167-1172 (1992).

10. Wein, J. W., “Scheduling Semiconductor Wafer Fabrica- tion,” IEEE Transactions on Semiconductor Manufac- turing, Vol. 1, No. 3, pp. 115-130 (1988).

11. Gurnani, H., Anupindi, R., and Akella, R., “Control of Batch Processing System in Semiconductor Manufac- turing Wafer Fabrication Facilities,” IEEE Transactions on Semiconductor Manufacturing, Vol. 5, pp. 319-328 (1992).

12. ͳځ̋ĂĶ஄ЪϠயቢݡ჌ଵԔڱ݋̝ሀᑢࡁտķĂჇ

̀ኢ͛Ă઼ϲϹ఼̂ጯĂາѻ(1990)Ą

13. ӓᕃዂăՂځ໴ĂĶ೿๪ᇄ̝ࢨטᜭጱё͹Ϡயଵ඀ሀ ёࡁտķĂ̍ຽ̍඀ጯΏĂௐ˩˛סĂௐˬഇĂௐ 257-270 ࢱ(2000)Ą

14. O’Nel, P., “Performance Evaluation of Lot Dispatching and Scheduling Algorithms Through Discrete Event Simulation,” IEEE/SEMI Int’l Semiconductor Manufac- turing Science Symposium, pp. 21-24 (1991).

2002 ѐ 08 ͡ 29 ͟! ќቇ 2003 ѐ 04 ͡ 18 ͟! ܐᆶ 2003 ѐ 11 ͡ 07 ͟! ኑᆶ 2004 ѐ 01 ͡ 07 ͟! ତצ