Simulator WIA SOOM

Ahịrị nzukọ ụgbọ ala Ụdị dị ndụ

I na-achịkwa otu shift n'akụkụ nke ahịrị nzukọ ikpeazụ ụgbọ ala: ọdụ ise n'usoro nwere lane buffer ndị pere mpe n'etiti ha. Nkwụsị ọ bụla na-agbasa elu na ala n'ahịrị, mmejọ ọ bụla ma ọ dozie ya n'ọdụ ma ọ ga n'ihu, ma shift nwere atụmatụ mmepụta ịhụ.

Ihe ị ga-amụta

Simulator

Oge 0 min
OEE 0.0% · Mmepụta megide atụmatụ 100.0% · Ọrụ n'ọrụ 13 · Mmejọ gbapụrụ 0 · S1 Na-arụ ọrụ, S2 Na-arụ ọrụ, S3 Na-arụ ọrụ, S4 Na-arụ ọrụ, S5 Na-arụ ọrụS1▶S2▶S3 ★▶S4▶S5▶3/33/31/31/3⚙ Mmepụta 50.0 · Ọsọ megide takt 100% · Oge ndu site n'ahịrị 16 minOEE 0.0 % = ịdị adị 100.0 × arụmọrụ 0.0 × àgwà 100.0📋 0 / 0 (100.0%) · ⚑ 0🔧 Ngwaahịa na-eche n'ebe nrụzi 0 · ⚠ Mmejọ gbapụrụ 0
  • Na-arụ ọrụ
  • Agụụ (enweghị ngwaahịa)
  • Egbochiri (enweghị ohere n'ala)
  • Mebiri
  • Nkwụsị Andon
  • Ngwaahịa n'ime lane buffer

Njikwa

Pesentị nke ọsọ e kpebiri. Okirikiri ngwa ngwa na-eweli mmepụta — ma na-eweli ọnụ ọgụgụ mmebi na mmejọ.

Ngwaahịa lane ọ bụla n'etiti ọdụ nwere ike ijide. Ọ karịrị na-ewepụ ọdụ n'ọdụ, mana na-agbakwunye ọrụ n'ọrụ.

Teknishiọn ọ bụla na-edozi otu ọdụ; a na-ejere bottleneck ozi mbụ, teknishiọn nke abụọ na-eme ka nrụzi dị ngwa.

Ndị ọrụ na-akwụsị ebe ha na-arụ ọrụ iji mezie nkwarụ n'ebe ahụ. Ọ na-efu oge ọrụ — gụnyere nkwụsị maka ihe ọ bụghị nkịtị nke ghọrọ na ọ dịghị ihe — mana ọ na-egbochi nkwarụ ịga n'ihu.

Otu ndị mmadụ atọ na-edozi ngwaahịa ejidere n'ule ngwụcha ahịrị n'otu elekere, ka ha nwee ike ibupụ.

Ihe ngosi

OEE
0.0%
dị oke egwu
Mmepụta megide atụmatụ
100.0%
nkịtị
Mmejọ gbapụrụ
0
nkịtị
Ọrụ n'ọrụ
13
nkịtị
Ịdị adị100.0 %
Arụmọrụ0.0 %
Ọnụọgụ àgwà100.0 %
Ọsọ megide takt100 %
Mmepụta50.0 JPH
Ngwaahịa n'ihu (+) / n'azụ (−) atụmatụ0
Oge ndu site n'ahịrị16 min
Ngwaahịa na-eche n'ebe nrụzi0
Awa ọrụ kwa ngwaahịa0.00 h
Ọdụ ndị mebiri0
Bottleneck na-anọ efu (agụụ ma ọ bụ igbochi)0.0 %

Ọnọdụ

OEE: — %100.00.0

Ọnọdụ nsogbu

Ọkwa 1 · Chekwaa bottleneck site na nkwụsị n'ebe ugwu

Atụmatụ: ngwaahịa 50 kwa awa maka ọkara oge ọrụ nke awa anọ. Ebe ọrụ 3 bụ bottleneck nke ahịrị ma otu onye ọrụ nkà mmezi naanị ka nọ n'oge ọrụ. Mmezi na-akọ na akụkụ ejiri nke ebe ọrụ 2 — n'ihu bottleneck n'ezie — ga-agbanwerịrị n'nkeji 35: ọrụ nkeji 40 maka otu onye ọrụ nkà.

  • Mmepụta ≥ 101 % nke atụmatụ na njedebe ọkara oge ọrụ
  • Bottleneck na-anọ efu ≤ 7 % nke oge
  • Nkezi ọrụ n'ọrụ ≤ ngwaahịa 18

Ọkwa 2 · Mgbanwe àgwà n'ọdụ trim

Atụmatụ: ngwaahịa 52 kwa awa maka ọkara oge ọrụ nke awa anọ, ma ngwaahịa iri sitere na oge ọrụ gara aga ka na-eche n'ebe mmezi. Nkeji iri abụọ gasịrị, nsogbu ijikọ pụtara n'ebe ọrụ 4: ihe dị ka otu ngwaahịa n'ime asatọ na-esi na ya pụta nwere nkwarụ. Nnwale na njedebe ahịrị na-ejide ọtụtụ n'ime ha — ọ bụghị ha niile.

  • Otu nkwarụ kachasị na-agafe n'aka onye ahịa
  • Mmepụta ≥ 104 % nke atụmatụ na njedebe (a na-agụta ngwaahịa ndị e mezịrị)
  • Ngwaahịa 3 kacha fọdụrụ n'ebe nrụzi
  • Nkezi ọrụ n'ọrụ ≤ ngwaahịa 16

Ọkwa 3 · Ịrị elu ọchịchọ

Ahịrị ahụ na-agba ọsọ 80 % maka atụmatụ ngwaahịa 47 kwa awa. Nkeji iri abụọ n'ime ọkara oge ọrụ, ahịa na-ebuli atụmatụ ruo ngwaahịa 56 kwa awa — oge takt na-ada site na ihe dị ka 1,28 ruo 1,07 nkeji, ma bottleneck enweghị ike soro na 80 %. Ọ dịghị ikike ịrụ ọrụ karịa oge.

  • Mmepụta ≥ 102 % nke atụmatụ mgbe awa abụọ gasịrị
  • Mmepụta ≥ 103 % nke atụmatụ na njedebe ọkara oge ọrụ
  • Mmejọ 1 kacha na-agbapụ gaa onye ahịa
  • Nkezi ọrụ n'ọrụ ≤ ngwaahịa 20

Ntọala — ụdị dị n'azụ ọnụọgụ

Mmekọrịta ọ bụla simulator na-eji, na isi mmalite ya. Ihe na-agbanwe agbanwe akara dị ka echiche bụ nhazi ngosi.

OEE na-amụba ịdị adị, arụmọrụ na àgwà, tụrụ na bottleneck; ọ hà nhata oge okirikiri kwesịrị ekwesị × ngwaahịa ọma ÷ oge atụmatụ.
OEE = A × P × Q; A = (T_plan − T_stop)/T_plan, P = CT_ideal · N_bn / (T_plan − T_stop), Q = N_first-pass / N_out; OEE = CT_ideal · N_good / T_plan when N_bn = N_out[1][2]Ngwaahịa ahụ hà nhata oge okirikiri kwesịrị ekwesị × ngwaahịa ọma ÷ oge atụmatụ naanị ma ọ bụrụ na mmepụta bottleneck hà nhata mmepụta ahịrị; ngwaahịa ka dị n'etiti ebe ọrụ 3 na njedebe ahịrị na-eme obere ọdịiche.
Ọdụ na-ebuga ngwaahịa ya n'ihu naanị ma buffer na-esote nwere ohere (ma ọ bụghị ya, a na-egbochi ya) ma na-amalite naanị ma buffer gara aga nwere ngwaahịa (ma ọ bụghị ya, ọ na-agụụ).
station i: cycle = c_i / v; moves on iff buffer_i < K (else blocked); starts iff buffer_{i−1} > 0 (else starved)[3][4]
Ahịrị enweghị ike ịgba ọsọ karịa ọdụ ya kachasị nwayọọ; takt time bụ oge dị ka ọ dị kewara site na ọchịchọ.
r_line ≤ r_b = v / max_i c_i; takt = available time / demand = 60 / plan [min/unit][5][7]
Nrụgide ọsọ: mfu ọsọ na-akpata na-eto na-enweghị oke ka ahịrị na-eru nso na oke ngwa ya na ndị ọrụ ya (105 % nke ọsọ e kpebiri).
σ_n(v) = ((1.05 − 0.85) / (1.05 − v))^n (σ = 1 at 85 %; σ_1: 2× at 95 %, 4× at 100 %; σ_2: 4× at 95 %, 16× at 100 %)Echiche: oge okirikiri, oge mmebi na oge mmezi, ọnụego nkwarụ na nkwụsị ụgha, iwu nrụgide ọsọ na ọnụ ọgụgụ otu bụ ụkpụrụ ngosi, ọ bụghị data sitere n'ụlọ ọrụ n'ezie.
Ebe ọrụ na-emebi naanị mgbe ha na-arụ ọrụ, karịa mgbe ahịrị na-eru nso na oke ya; oge mmezi na-ebelata mgbe onye ọrụ nkà nke abụọ sonyere.
P(fail in Δt) = 1 − exp(−λ_i · t_work), λ_i = σ_1(v) / MTBF_i; repair work ~ Erlang-3(mean MTTR_i), done at rate 1 + 0.6·(n−1), n ≤ 2[4][1]Echiche: oge okirikiri, oge mmebi na oge mmezi, ọnụego nkwarụ na nkwụsị ụgha, iwu nrụgide ọsọ na ọnụ ọgụgụ otu bụ ụkpụrụ ngosi, ọ bụghị data sitere n'ụlọ ọrụ n'ezie.
Nkwarụ na-arị elu ọbụna nke ọma karịa mmebi n'ihe gbasara ọsọ. Site na andon, a na-ejide ọtụtụ nkwarụ ma mezie ha n'ebe ọrụ, na ọnụ ahịa nkwụsị dị mkpụmkpụ (ụfọdụ bụ aka ụgha); ma ọ bụghị ya, nnwale na njedebe ahịrị na-ejide ụfọdụ ma ndị ọzọ na-agafe.
p_i = p0_i · σ_2(v) (+0.12 excursion at S4); andon: detect 90 %, stop 1.5 min, fix; false stops 0.3 % · σ_2(v) per unit and station; end-of-line test catches 70 %[7][1]Echiche: oge okirikiri, oge mmebi na oge mmezi, ọnụego nkwarụ na nkwụsị ụgha, iwu nrụgide ọsọ na ọnụ ọgụgụ otu bụ ụkpụrụ ngosi, ọ bụghị data sitere n'ụlọ ọrụ n'ezie.
Iwu Little: nkezi oge site n'ahịrị hà nhata ọrụ n'ọrụ kewara site na mmepụta.
lead time W = WIP / throughput (L = λW)[6][5]
Ihe ndị ọzọ kwụsiri ike nke ụdị ahụ na-eji.
cycle c = 0.62/0.64/0.90/0.75/0.72 min at rated speed (S3 = bottleneck) · MTBF 120/100/200/110/150 min of work, MTTR 4/4/3/4/3 min at 85 % speed · S2 part replacement 40 technician-min · p0 = 0.15/0.15/0.2/0.2/0.05 % per unit · excursion contained after 3 andon pulls or 15 units caught at test · rework 4 min/unit, team of 3 for 1 h per call · 40 line operators · moving averages over 30 minEchiche: oge okirikiri, oge mmebi na oge mmezi, ọnụego nkwarụ na nkwụsị ụgha, iwu nrụgide ọsọ na ọnụ ọgụgụ otu bụ ụkpụrụ ngosi, ọ bụghị data sitere n'ụlọ ọrụ n'ezie.

Enweghị usoro: ihe mmepụta mulberry32 nwere mkpụrụ; nkesa ejiri — uniform, exponential (inverse CDF), normal (Box–Muller), Poisson (Knuth). A na-egosi mkpụrụ ma nwee ike ikekọrịta ya.

Isi mmalite

  1. S. Nakajima — Introduction to TPM: Total Productive Maintenance (OEE = availability × performance × quality; six big losses) — Productivity Press, 1988
  2. ISO 22400-2:2014 — Automation systems and integration — KPIs for manufacturing operations management — Part 2: Definitions and descriptions (availability, effectiveness, quality ratio, OEE index) — ISO, 2014
  3. J. A. Buzacott, J. G. Shanthikumar — Stochastic Models of Manufacturing Systems (flow lines with finite buffers, blocking, starvation) — Prentice Hall, 1993
  4. Y. Dallery, S. B. Gershwin — Manufacturing flow line systems: a review of models and analytical results (operation-dependent failures, blocking after service) — Queueing Systems 12, 1992
  5. W. J. Hopp, M. L. Spearman — Factory Physics, 3rd ed. (bottleneck rate, variability buffering, Little’s law) — Waveland Press, 2011
  6. J. D. C. Little — A Proof for the Queuing Formula L = λW — Operations Research 9(3), 1961
  7. T. Ohno — Toyota Production System: Beyond Large-Scale Production (jidoka, stopping the line on abnormalities, takt) — Productivity Press, 1988

Ndị na-arụ nke a dị ka ọrụ

Ụdị agụmakwụkwọ — ọ bụghị maka mkpebi ọrụ. Ebe n'ezie na-edozi ihe niile na-agbanwe agbanwe dịka ngwá ọrụ na data nke ha si dị.