Operations Management Key Concepts & Principles

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Operations Management Key Concepts

Inventory Management & Production Planning

  • Final Inventories Analysis

    Final inventories for the last 4 months: FI = S(100) O(120) N(-130) D(430). Response: O(2750) N(1400) D(3750).

  • Production Strategy Aggregation

    Which production strategy aggregates production? Response: Strategy to adjust demand.

  • Production Planning Metrics

    Number of Products (N.Prod) = 10,000 units | Production Days = 20 | Workforce = 43. Response: 459 units.

  • Actuation Possibilities

    Actuation possibilities: Demand/Capacity. Response: Actuation/Aggressive.

  • Lot-for-Lot (LFL) Parameters

    LFL parameters: Ts2 Av25 Ss10 Level0 RefP3.

  • Gross Requirements Calculation

    Gross Requirements: (0.50, 0.100, 0.75, 0.80, 0.90, 0.100). Response: (0.100, 0.70, 0.70, 0.100).

  • Production Strategy Details

    Production Strategy. Response: Article E: Sum of Total Direct Elements.

Lot Sizing & Net Requirements

  • Silver-Meal Heuristic Application

    Cost of Setup (Ce) = 3200, Cost per Unit (Cp) = 2, Period = 1 week, Silver-Meal. Response: 1 (2100).

  • Silver-Meal Parameters

    Silver-Meal parameters: Level 3, Ts1, Av2, Ss0.

  • Gross Requirements for Lot Sizing

    Gross Requirements: (0.234, 0.694, 0.410, 0.170, 0.55, 0.5, 0). Response: Five.

  • Net Requirements Calculation

    Net Requirements: 4 x 200. Response: 2y6 = 400.

  • Period Order Quantity (POQ)

    Net Requirements = 6,000, Cost of Setup (Ce) = 1500, Cost per Unit (Cp) = 1, Period Order Quantity (POQ). Response: Each 2 periods.

Scheduling & Sequencing

  • Johnson's Rule for Machine Scheduling

    Johnson's Rule for Machines: M1 (5, 3, 9, 3, 6), M2 (8, 6, 7, 7, 4), M3 (3, 1, 4, 8, 10). Response: All.

  • Jackson's Machine Scheduling

    Jackson's Machine 2. Response: (2-1) + 2 + (1-2).

  • Johnson's Rule Sequencing

    Johnson's Rule. Response: Smallest to largest, alternate sequence.

  • Scheduling Rule Application

    TRUE (Johnson/Jackson). Response: None.

  • Order Sequencing Example

    10 orders. Response: ABIJGHDEFC.

Facility Layout & Surface Area

  • Surface Area Calculation

    Surface area (Sm) (2, 2, 4). Response: Sg = 24 m2.

  • Total Surface K Factor

    Total Surface (TSurf) K = 2.

  • Static Surface Measurement

    Static Surface (1.8, 2.4, 2.3, 2.1, 1.8, 1.9, 2.2, 3.0, 2.4). Response: 321.9 m2.

  • Workstation Surface Reservation

    Surface reserved between workstations. Response: Surface Evolution.

  • Fictitious Range for Workstations

    Fictitious range for 10 workstations. Response: ABE’DCEFGHIG’J.

  • Workstation Capacity Example

    Previous: 8 hours, 5 days = 19 workstations.

  • Fictitious Range for Products & Workstations

    Fictitious range for 3 products, 8 workstations. Response: ABCA’DEF’EGH.

  • Minimum Required Surface

    K = 2, minimum required surface for 10 elements.

  • Static Surface Calculation (Second Example)

    Static Surface (1.4, 1.8, 2.2, 2.6, 1.8, 2.6, 1.9, 1.6, 3.6, 4). Response: 355.5 m2.

Line Balancing & Cycle Time

  • Production Chain Requirements

    Chain to satisfy 45,000 units, 1,800 hours, minimum cycle time 10 minutes. Response: TC10min-Stat7-6u/h.

  • Work Elements & Line Balancing

    Work Elements (/-1-1-3-3-4.5-2-7.6-8-9) if T = 12 minutes... Response: (1.3.4-2-5.7-6). Line Balancing previous example. Response: 94%. Previous Quantity = All.

  • Annual Demand & Cycle Time

    Annual Demand = 27,960 units, 233 days, 8 hours/day. Response: 12 minutes cycle time.

  • Workstation Assignment for Chain Elements

    Chain of 12 elements. Timing (5, 5, 3, 4, 5, 4, 4, 2, 5, 3, 5, 12). Response: Workstations (1: 1,2,3,8), (2: 4,6,7,10), (3: 5,9,11), (4: 12).

Lean Manufacturing & Theory of Constraints

  • Standard Operations & Just-In-Time (JIT)

    Standard Operations, Just-In-Time (JIT). Response: All.

  • Exploiting Maximum Profit (TOC)

    Exploiting Maximum Profit (TOC). Response: All.

  • JIT Principles: Autonomous Control

    JIT principles include: Response: Autonomous control of defects.

  • PULL System Definition

    PULL system. Response: Fabrication from client orders.

  • Goldratt's Influence on JIT

    NOT Just-In-Time. Response: Result of Goldratt.

  • Theory of Limitations & Subsystem Optimization

    Theory of Limitations applied to subsystem optimization. Response: Basic equation of fluctuation.

  • TOC Performance Parameters

    According to TOC, three parameters explain performance: Response: Net Income (NI), Inventory (Inv), Operating Costs (OpCosts).

  • JIT & Poka-Yoke

    JIT autonomous control of defects refers to: Response: Poka-Yoke.

  • TOC Principles: Non-Bottleneck Resources

    TOC principles include: Response: Every non-bottleneck resource must work at full capacity.

  • Kanban System Type

    NOT advanced Kanban. Response: Push system.

Quality Control & Metrics

  • Defect Rate Calculation

    Number of defects (55, 9, 86, 4, 97, 13, 8...). Response: 80.13%.

  • Sampling Plan Example

    10,000 units, Sample P1 (c6-n82). Response: 82 units.

  • Probability of LTPD

    FALSE. Response: Probability of Lot Tolerance Percent Defective (LTPD).

  • Quality Control Tools

    Quality control. Response: Control graphs.

  • Costs of No Quality

    FALSE. Response: Costs of no quality = inspection prevention.

  • Process Control Indicators

    Process is under control if graph shows: Response: All.

  • Defects Before Market Production

    If defects occur before market production: Response: All.

  • Acceptance Sampling Plans

    According to sample plans acceptance, affirm: Response: Curve-sample.

  • Shewhart/Deming Principles

    Shewhart/Deming: Response: Design to improve processes, 4 stages.

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