🍳 Restaurantskichen: Liewensmëttelsécherheet a Fluss Live-Modell

Basis — de Modell hannert de Zuelen

All Relatioun, déi de Simulator notzt, mat hirer Quell. Konstanten, déi als Annahme markéiert sinn, si Beispillkalibréierungen.

Newton'scht Offillgesetz: den Ofstand zum Killmedium schrumpft exponentiell.

T(t+Δt) = T_env + (T − T_env) · e^(−Δt/τ)[6][3]

D'Zäitkonstant klëmmt mat der Iessdéift a fält mat engem besseren Killmedium (Äiswaasser, forcéiert kal Loft).

τ = ρc · L_c / U, 1/U = 1/h + L_c/(3k); L_c: pot 6 cm, 5-cm pans 2.5 cm; h: walk-in 20, ice bath 100, blast 50 W/m²K[6][3][4][5]Annahm: Déifte, Wärmeiwwerdroungskoeffizienten, Killraumgréisst, Dier- a Kompressorbelaaschtung a Kachzäite sinn illustrativ Wäerter fir e mëttelgrousst Restaurant. D'Biot-Korrektur ass eng Approximatioun éischter Uerdnung a grof fir déif Dëppen.

FDA-Food-Code-Zweestuf-Offillen: 57 → 21 °C bannent 2 h, an op 5 °C bannent insgesamt 6 h.

57 °C → 21 °C within 120 min; 57 °C → 5 °C within 360 min; else out of compliance → discard[1][2]

Haltlimitten a Zäit-Temperatur-Mëssbrauch.

cold holding ≤ 5 °C; hot holding ≥ 57 °C; abuse = Σ Δt while 5 °C < T < 57 °C[1]

D'Food-Code-Killkurv ass selwer no bei enger Newton-Kurv mat enger Zäitkonstant vun ongeféier 1,9 h.

Food Code profile ≈ log10(T − 2.8 °C) falling 0.2312 per h ⇔ τ ≈ 1.9 h[3]

Wuesstumspotenzial vu Clostridium perfringens, der klassescher Gefor vu lues Offillen (Kardinaltemperaturmodell).

μ(T) = μopt·(T−Tmax)(T−Tmin)² / {(Topt−Tmin)[(Topt−Tmin)(T−Topt) − (Topt−Tmax)(Topt+Tmin−2T)]}; growth = Σ μ/ln10 · Δt [log10][8][7]Nëmmen Indikator: Parameteren fir gekachte Poulet ugepasst, Lag-Phas ignoréiert, also iwwerschätzt et d'Wuesstem. Et ass keen Sécherheetsurteel.

Wärmebilanz vum Killraum: Wänn, Dieröffnungen, waarm Chargen a gelagert Produit géint de Kompressor.

n_door ~ Poisson(rate·Δt); C_air·dT/dt = UA·(T_kitchen − T) + n_door·E_door·(T_kitchen − T)/Δt + Q_batches + UA_p·(T_product − T) − Q_comp[9][6]Annahm: Déifte, Wärmeiwwerdroungskoeffizienten, Killraumgréisst, Dier- a Kompressorbelaaschtung a Kachzäite sinn illustrativ Wäerter fir e mëttelgrousst Restaurant. D'Biot-Korrektur ass eng Approximatioun éischter Uerdnung a grof fir déif Dëppen.

Bestellungsschlaang a Little'scht Gesetz.

tickets ~ Poisson(λΔt); each station: one ticket, 12 cook-min (M/D/c); W = L / X, L = waiting + on stations, X = cook-min delivered in the last 30 min ÷ 12 per h (≥ 1/h; warm-up: opening steady state)[11][10]

Waarmhalen um Dampdësch.

T_hot → (setpoint − 0.2 °C × tickets served per h), τ = 30 min[1]Annahm: Déifte, Wärmeiwwerdroungskoeffizienten, Killraumgréisst, Dier- a Kompressorbelaaschtung a Kachzäite sinn illustrativ Wäerter fir e mëttelgrousst Restaurant. D'Biot-Korrektur ass eng Approximatioun éischter Uerdnung a grof fir déif Dëppen.

Aner Betribskonstanten, déi am Modell benotzt ginn.

ρc = 3.9 MJ/m³K, c = 3.9 kJ/kgK · k: stock 1.2, thick sauce 0.5 W/mK, ×2 when stirred in ice · ice bath 0 °C, ≤25 kg · blast chiller −5 °C air, ≤40 kg · walk-in: air node 0.4 MJ/K, 300 kg stored product (3.6 kJ/kgK, 60 W/K to air), walls 10 W/K, compressor 3 kW · door openings 10/h + 0.8 per ticket/h, 2.7 kJ/K each; discipline: 40 % of openings, half the exchange (strip curtain) · ticket 12 cook-min · portioning 1 cook-min/kg · ice-bath stirring 0.5 cook per batch · throughput window 30 min (a station counts only when fully staffed) · kitchen 30 °CAnnahm: Déifte, Wärmeiwwerdroungskoeffizienten, Killraumgréisst, Dier- a Kompressorbelaaschtung a Kachzäite sinn illustrativ Wäerter fir e mëttelgrousst Restaurant. D'Biot-Korrektur ass eng Approximatioun éischter Uerdnung a grof fir déif Dëppen.

Zoufall: e Mulberry32-Generator mat Seed; benotzt Verdeelungen — uniform, exponentiell (invers CDF), normal (Box–Muller), Poisson (Knuth). De Seed gëtt ugewisen a kann deelt ginn.

Quellen

1. FDA Food Code 2022 — §3-501.14 Cooling, §3-501.15 Cooling Methods, §3-501.16 Hot and Cold Holding, §3-501.19 Time as a Public Health Control — U.S. Food and Drug Administration, 2022
2. Cooling Cooked Time/Temperature Control for Safety Foods and the FDA Food Code: for Food Employees — U.S. Food and Drug Administration, 2024
3. D. W. Schaffner et al. — Quantitative Data Analysis To Determine Best Food Cooling Practices in U.S. Restaurants (Food Code profile ≡ log10 ΔT slope 0.2312 h⁻¹ at 2.8 °C driving force; food deeper than 7.6 cm twice as likely to cool too slowly) — Journal of Food Protection 78(4):778–783, 2015
4. N. Koreen, W. C. Baldwin, D. W. Schaffner — Cooling Uncovered Foods at a Depth of ∼5.1 cm (2 in.) or Less Poses Little Risk of Pathogen Growth — Journal of Food Protection 87(10), 2024
5. FSAI Guidance Note No. 15 — Cook-chill Systems in the Food Service Sector (Revision 2), §2.6: start chilling within 30 min of cooking and reach ≤3 °C at the centre within 150 min of cooking; limit loads to e.g. ≤2.5 kg and ≤100 mm thick — Food Safety Authority of Ireland, 2018
6. F. P. Incropera et al. — Fundamentals of Heat and Mass Transfer: lumped capacitance, Biot number, one-term transient conduction solution — Wiley, 2011
7. L. Huang, C. Li — Growth of Clostridium perfringens in cooked chicken during cooling: one-step dynamic inverse analysis (Tmin 14.8 °C, Topt 42.9 °C, Tmax 50.5 °C, μopt 5.25 h⁻¹) — Food Microbiology 85, 2020
8. L. Rosso, J. R. Lobry, J. P. Flandrois — An unexpected correlation between cardinal temperatures of microbial growth highlighted by a new model (CTMI) — Journal of Theoretical Biology 162:447–463, 1993
9. ASHRAE Handbook — Refrigeration, ch. 24 Refrigerated-Facility Loads (door infiltration, product load, strip curtains) — ASHRAE, 2022
10. J. D. C. Little — A Proof for the Queuing Formula L = λW — Operations Research 9(3), 1961
11. D. Gross, C. M. Harris — Fundamentals of Queueing Theory (M/M/c) — Wiley, 2008