The MES production managemeσ∞✘nt system for intelligent manufactur ‌→<ing of clothing realizes th ®₹≥e full digital connection •★≥&of factory business flow, realizing the digital c∞₽ontrol and monitoring of the entire process fro ₽m receiving factory orders, formulating preσ ♥ production plans, cutting,Ω≤↓§ sewing, ironing, quality inspecti÷☆€on, and shipping, so that management personnel ca>♠​☆n grasp real-time data on production progress, s≥₹emi-finished product quantity, employee perfor€&mance, employee piece coun" t, and other aspects. It helps o✔>™n-site management personnel ident§×≥εify production bottlenecks, ba≤₹ lance the production capacity of eac♦‌h production line, evaluate t≠≤↔∏he efficiency performance of wo≤≤→rkers in real time, and calculate wages, therebyו improving production efficiency★γγ and decision-making managemen÷₽t ability.

The MES production management sys€Ωtem for Pinyi Clothing Intel♦ δligent Manufacturing adopts•£₹ a modular architecture and is based on → the lean production concept. It adopts technoloσ★✘€gies such as cloud computing≥‍ ™, big data, information co"♥€llection, and the Internet of Things fo↔₽♣↑r the clothing manufacturing industry, conn₩β©ecting other business system ↓♠s, process libraries, and intelligent≈β₽ IoT devices to achieve inforδ€mation management of the e♣↑<®ntire production process fro>♦ m order issuance to product completion.♥‍ Digitally transform the tr≠→&aditional mass production mode into a smal'∏l batch flexible rapid responsσ∑​e production mode.

Main Function Introduction

Standardization of prenatal data

The pre production data standardization module ♠☆includes: product library, process library, ₹→♥αproduction line layout, and productio÷£n quality inspection.

The organization of standardized data i↑>s the primary condition before the systemγ↓& goes online, but due to the varying degr×÷‌ees of technological precipitation in e™∏nterprises, the granularity of ea™>£‌ch data model needs to be selected ba&>sed on their own actual situation; Meanwhile, due✔™σ to different business forms, so¥↑me standardized data can be automatically accum≈¶±☆ulated during the production pro×★$cess. The standardization of data o₹→¶rganization will involve the technical dep≤Ωartment, quality inspection depart∞₹αment, and production department.

(1) Product Library: The technical dep → <artment creates product categor φπies and imports the sizes under each c™'✔<ategory in EXCEL

(2) Process Library: The technical departm₹™ ent uses Excel to import the process list (workin®δg hour list)

(3) Style Library: The technical ™ department imports commonly used sty₽≥•φles, including style processes, style craf ®tsmanship, and style sizes (f£•×₩or non formal business, it is recommended to≥¥↕ automatically create them ₩≈in the ordering process)

(4) Production Line: The production d‍βepartment sets up a production↑↔>♣ line framework (such as a straight line, Y↕•≈-shaped, U-shaped, etc.) based on t​♦÷he factory's production line, includ↓£βπing production capacity, production component±₩±<s, workstations, and emplo£∏&≠yees.

(5) Production quality inspectiα™on: The quality inspection department  λ¥φsets quality inspection position>₽>s, quality inspection codes, and quality i÷☆♦nspection classifications based on ε the situation of the factory itself.

Production process management

The production process management module iλπ☆ncludes: order module, planning mod¥δ$✘ule, and production site.

Standard version software, on≈<×<ly supports mass order produc₩←♦ tion, does not support CAD docking, and does n'≠ot support on-site equipment docking; ₹×The entire production process starts ♥↕♦≥from order integration and supports Excel import↕↕↓β or page editing to enter orders; The scope o$ ≠f production site management can rδ®Ω™ange from cutting and pullin∑♠λg cloth to packaging and warehousσ↔♠ing, and the granularity can reach e¶ασvery sequence from the tea® ©αm to the workstation. Enterprises need to determi₽ ne the management granularity based on the ac&¶±↑tual production situation. The pro✔✘¶duction process will involve the pro™∑ duction department, CAD department, technologyλ¥$§ department, and planning department.

(6) Planning module: The planning departmeδ↓nt can edit orders online or import orders in ₽™‍§Excel. The system automatically schedules p≈÷↓ roduction based on delivery time β‌and production line. The planning department ←€♥can use the scheduling Gantt chart to makeφ♥÷' secondary adjustments to the plan.

(7) Order seizure block: After the order €φis placed, the CAD department and technica≈Ω×εl department operate synchronously, while the pΩ¶roduction department follow δ≠​s the technical department.

a) The CAD department (or cutting room) uses t&γ₽↔he PC drawing function to sepa∏§π'rate beds and generate cutting reports.

b) The technical department organ™σizes style data, style craftsmanship, a←Ωnd style processes (supports fast and complex λ€processing, or direct retrieval from →®↑ the style library)

c) The production department adjusts the humaπ∞n-machine workstation diagram acc‍$ording to the arranged production✔↑'  line and checks the production balance status

(8) Production site: On site control is mainly↑₹ ¶ carried out through mobile devices and m&↕ ₩anagement (tablets, mobile phones, handheld devi∞λ♣★ces, printers), and the granularity of contro∏≈l depends on the number of collection poinβ‍<‍ts

a) The source of the production site starts from β™≠printing barcodes on the fabric

b) Quality inspection on-site report collect <σion

c) Team handover report collection

d) Key process report collection

e) Employee self reporting and collection

f) Batch reporting on PC end¥×ε•

g) PC end quality reporting

Production monitoring

Production monitoring generates₽¥•π various prediction and analysis reports §₹φ>through on-site and business dat‍×✘a analysis and calculation, supporting preseα✘ntation on electronic dash>αboards, computers, and mobile devices.

The standard version of the software does n☆∑ot support large screens and is mainly>↕÷• used by middle-level produ←↔∏ction managers, factory manaλ↕δ∑gers, and managers.

(9) Production Dashboard: Visual pr∑&✔ ogress dashboard, employee output ranking, comΩ£ponent qualification rate, production mat'↑♦erial requisition data, online/offline/™&←>quality status, real-time pr​¶→oduction line output, real-t€‌£♣ime production line dashboard, →<real-time production line quality

(10) Production reports: Production daσφ $ily report, cutting progress report, employ ∏♣©ee output report, order prog∑γ♥≤ress report, process output repor‌φ​t, cutting detail report

(11) Quality reports: quali∑♦α®ty inspection daily report, quality record repor♥∏t, statistical report, employee qu•δality report, section inspection table, speci↓‌☆<fication measurement table, q £π uality inspection record table

(12) Analysis Decision Report: Production≈α Time Analysis Table, Quality Inspection Aαλ¥nalysis Table, Team Daily Accumulation, Jade​™↔♠ Group Output Trend, Team Qua∑‍∑lity Trend

MES Mobile Management

The main services for mobile productio&★ ♣n include remote management contro  ≈l, outsourced factory control, employee self rβ÷eporting, and remote business tracking function↕≠♣×s.