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Accenture

Wolfhound Simulation Exercise

ZHANG HELI 1861097

YAO PEIWEN 1839389

SHEN QIAO 1839409

WANG DEFU 1839396

HU HUI 1839466

ZHOU QI 1839347

Objectives & Strategy

Objectives

Objectives

-Financial focused:

purchase within £700,000 weekly; avoid penalties; lower inventory holding cost

- Customer focused:

desired customer service level above 95%

Strategy

Strategy

  • Initial strategy:

safety stock(CSF x MAD x Sq Rt(LT)) needs to be secured to meet demands from customers and replenish inventory on a weekly base.

  • Improve: lean supply

make new forecast every week and decide final order quantities upon everyone's consent.

Team Roles & Responsibilities

  • Rhea & Dave are responsible for forecasting calculation, demand analysis.
  • Alice is involved in recording and updating decision sheets on a weekly basis.
  • Judy & Shirley takes charge of procurement.
  • Amber acts as a coordinator between purchase team and forecast team, monitors stock levels.

Performance Measures

Performance

Measures

3 criteria

1. Availability ( Customer service level %)

2. Inventory level ( The inventory cost in each week $)

3. Total profit ( Financial measurement $ )

1. Availability

2. Inventory

3. Profit

Pareto

Analysis

Objective

The objective of Pareto Analysis:

1. Reduce the high stock value

2. Maintain stock at the lowest appropriate level

Graph

Pareto Analysis

HOW

HOW TO Apply ABC Analysis tool in forecasting

3 Key Learning Points

Time Management

Time Management

Issue:

Transfer all central stocks to customer stocks.

Reason: We paid much attention on sources of procurement management, which caused less time to decide transfer quantity.

Solutions:

  • Prioritise Tasks
  • Divide up the work

Order Quantity

Order Quantity

Advantages:

  • Realize a balance between a low inventory level and good availability

  • Close observation on all of the parts

New Order at the end of Period N=Actual Demand of Period (N) + New Forecast of Period (N+1)-Stock-Stock in Transit+ Safety Stock

Disadvantages:

  • Workload is heavy

  • No direct outcome and need extra analysis about reallocation and flange

Demand & Forecast Overview

Issue:

Central store: forecast < actual demand;

Reason:

underestimated the value of safety stock

Some parts have demand in week 1, but we work out the safety stock based on the data of previous 20 periods.

Solution:

Keep an eye on irregular data.

Reallocation

Reallocation

Issue:

From week 2, we made reallocation decisions almost every week.

Reasons:

  • Inaccurate forecast for flange demand: demand of the 12 weeks increases;
  • Inappropriate transfer: transfer too many stocks from central store to customer store.

Solutions:

  • Close monitor of fluctuation in demand, keep forecast data updated
  • Transfer stock according to the forecasted demand from customer store

Q&A?

Q&A

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