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Supply Chain Management

2.5 hours

Manufacturing Operations & Production Planning

MRP, MES, Lean, and Industry 4.0 on the Shop Floor

Subhendu Datta BhowmikSupply Chain Management

From Demand to Production: MRP and MRP II

Material Requirements Planning (MRP) is the backbone of manufacturing planning. It answers three questions: What to produce/buy, How much, and When.

MRP inputs:

  • Master Production Schedule (MPS) — the authorised production plan for finished goods, derived from demand forecasts and actual orders
  • Bill of Materials (BOM) — the recipe: every parent–child relationship, quantity-per, and scrap allowance
  • Inventory records — on-hand quantity, open POs, and work-in-process at every level of the BOM

MRP output: time-phased planned orders (purchase or production) for every component, offset by lead time. The logic is:

Net Requirement = Gross Requirement − On-Hand − Scheduled Receipts
Planned Order Release = Planned Receipt − Lead Time

MRP II extended MRP to include capacity requirements planning (CRP), financial simulation, and rough-cut capacity checks, integrating the shop floor with the business plan.

ERP systems (SAP S/4HANA, Oracle, Microsoft Dynamics) embed MRP II logic as a core module, connecting demand management, procurement, manufacturing, and financials in a single system of record.

Manufacturing Execution Systems (MES)

An MES bridges the planning layer (ERP) and the physical shop floor (machines, operators, PLCs). While ERP says what to make and when, MES manages the how — in real time.

Core MES functions (ISA-95 / ISA-88 standard):

  • Work order management — release, sequence, and dispatch production orders to work centres
  • Labour and machine tracking — capture actual time against each operation, compare to standard
  • Material traceability — scan barcodes or RFID to record exact materials consumed in each unit/batch (critical for recall management in pharma, food, aerospace)
  • Quality management — in-process inspections, Statistical Process Control (SPC) charts, non-conformance capture, and CAPA integration
  • OEE monitoring — real-time Availability, Performance, and Quality KPIs per machine/line, with downtime reason coding
  • Electronic device history record (eDHR) — regulated industries (FDA 21 CFR Part 11, EU GMP Annex 11) require complete electronic batch records

Leading MES platforms:

PlatformVendorSpecialty
SIMATIC ITSiemensDiscrete & process, tightly integrated with Siemens automation
OpcenterSiemensPharma, medical device, electronics
FactoryTalkRockwell AutomationDiscrete manufacturing, Allen-Bradley PLCs
SAP ME / MIISAPSAP ERP integration, automotive
PlexRockwell AutomationCloud-native MES, automotive & food
AVEVA MESAVEVAProcess industries, oil & gas, batch
TulipTulip InterfacesNo-code, operator-centric, SMB-friendly

Push vs. Pull Production Systems

Push (MRP-Driven)

  • Production triggered by forecast / planned demand
  • Work orders released in advance of actual need
  • Builds inventory buffers to absorb forecast error
  • Good for long lead-time, stable-demand products
  • Risk: over-production, high WIP, slow response to change
  • ERP / MRP is the control mechanism
  • Examples: seasonal product pre-build, constrained supplier lead items

Pull (Kanban / Lean)

  • Production triggered only by actual consumption downstream
  • Kanban cards/bins signal replenishment need
  • Minimises WIP and finished-goods inventory
  • Good for high-mix, variable-demand environments
  • Risk: stockout if demand spikes exceed kanban capacity
  • Supermarket / heijunka box is the control mechanism
  • Examples: Toyota Production System, assembly lines, spare parts

Lean Manufacturing Principles

Lean originated with the Toyota Production System (TPS) and was codified by Womack & Jones (1996) as five principles:

  1. Specify Value — define value from the customer's perspective (price willing to pay)
  2. Map the Value Stream — identify all steps; categorise as value-add, necessary non-value-add, or pure waste
  3. Create Flow — eliminate interruptions so value flows continuously (one-piece flow, U-cells)
  4. Establish Pull — let customer demand pull production; avoid over-production
  5. Pursue Perfection — continuous improvement (kaizen) toward zero waste

The 8 wastes (TIM WOODS):

  • Transportation — unnecessary movement of materials
  • Inventory — excess raw material, WIP, or finished goods
  • Motion — unnecessary operator movement
  • Waiting — idle time for machine, operator, or material
  • Overproduction — making more than needed, earlier than needed
  • Over-processing — more steps or precision than the customer values
  • Defects — rework, scrap, warranty
  • Skills — unused human potential and creativity

Key lean tools: Value Stream Mapping (VSM), 5S, SMED, Poka-Yoke (error-proofing), Andon (problem-escalation signal), OEE dashboards, A3 problem-solving.

Industry 4.0 Technologies on the Shop Floor

TechnologyApplicationBenefitExample Platform/Tool
Digital TwinReal-time virtual replica of machines/lines for simulation & predictive maintenanceReduce unplanned downtime 30–50%Siemens Tecnomatix, ANSYS Twin Builder, PTC ThingWorx
IIoT SensorsVibration, temperature, current monitoring on motors/spindlesEarly fault detection, OEE improvementBosch Rexroth, National Instruments, Siemens MindSphere
AI Visual InspectionCamera + deep learning for 100% defect detection on production lineReplace manual sampling; detect sub-mm defectsCognex ViDi, Landing AI, Neurala
Collaborative Robots (Cobots)Flexible automation of pick-and-place, assembly, testing beside humansReduce cycle time, ergonomic injuryUniversal Robots UR series, FANUC CRX, ABB GoFa
Augmented RealityGuided assembly instructions projected on workpieceReduce error rate, training time 40%PTC Vuforia, Scope AR, Google Glass Enterprise
Additive ManufacturingOn-demand spare part printing, tooling fixtures, low-volume custom partsEliminate spare-part inventory, faster NPIStratasys, EOS, Markforged
RTLS (Real-Time Location)Track WIP, tools, AGVs on shop floor with UWB or RFIDEliminate search time, ensure FIFO complianceZebra Technologies, Ubisense, Quuppa

Supply Chain Management