Showing posts with label Supply Chain Management. Show all posts
Showing posts with label Supply Chain Management. Show all posts

Thursday, 3 January 2019

Overview of Supply Chain Management

Supply Chain Management


What Is the Supply Chain?

       A set of approaches used to efficiently integrate

      Suppliers

      Manufacturers

      Warehouses

      Distribution centers

       So that the product is produced and distributed

      In the right quantities

      To the right locations

      And at the right time

       System-wide costs are minimized and Service level requirements are satisfied
 
History of Supply Chain Management

       1960’s - Inventory Management Focus, Cost Control

       1970’s - MRP & BOM  - Operations Planning

       1980’s - MRPII, JIT - Materials Management, Logistics

       1990’s - SCM - ERP - “Integrated” Purchasing, Financials, Manufacturing, Order Entry

       2000’s - Optimized “Value Network” with Real-Time Decision Support; Synchronized & Collaborative Extended Network
The Importance of Supply Chain Management

       Dealing with uncertain environments – matching supply and demand

      Boeing announced a $2.6 billion write-off in 1997 due to “raw materials shortages, internal and supplier parts shortages and productivity inefficiencies”

      U.S Surgical Corporation announced a $22 million loss in 1993 due to “larger than anticipated inventories on the shelves of hospitals”

      IBM sold out its supply of its new Aptiva PC in 1994 costing it millions in potential revenue

      Hewlett-Packard and Dell found it difficult to obtain important components for its PC’s from Taiwanese suppliers in 1999 due to a massive earthquake

       U.S. firms spent $898 billion (10% of GDP) on supply-chain related activities in 1998

       Shorter product life cycles of high-technology products

      Less opportunity to accumulate historical data on customer demand

      Wide choice of competing products makes it difficult to predict demand

       The growth of technologies such as the Internet enable greater collaboration between supply chain trading partners

      If you don’t do it, your competitor will

      Major buyers such as Wal-Mart demand a level of “supply chain maturity” of its suppliers

       Availability of SCM technologies on the market

      Firms have access to multiple products (e.g., SAP, Baan, Oracle, JD Edwards) with which to integrate internal processes
Supply Chain Management – Key Issues

       Forecasts are never right

      Very unlikely that actual demand will exactly equal forecast demand

      The longer the forecast horizon, the worse the forecast

      A forecast for a year from now will never be as accurate as a forecast for 3 months from now

      Aggregate forecasts are more accurate

      A demand forecast for all CV therapeutics will be more accurate than a forecast for a specific CV-related product
The Bullwhip Effect:

The bullwhip effect is a distribution channel phenomenon in which forecasts yield supply chain inefficiencies. It refers to increasing swings in inventory in response to shifts in customer demand as one moves further up the supply chain. The concept first appeared in Jay Forrester's Industrial Dynamics (1961) and thus it is also known as the Forrester effect. The bullwhip effect was named for the way the amplitude of a whip increases down its length. The further from the originating signal, the greater the distortion of the wave pattern. In a similar manner, forecast accuracy decreases as one moves upstream along the supply chain. For example, many consumer goods have fairly consistent consumption at retail but this signal becomes more chaotic and unpredictable as the focus moves away from consumer purchasing behavior.
Factors Contributing to the Bullwhip

       Demand forecasting practices

      Min-max inventory management (reorder points to bring inventory up to predicted levels)

       Lead time

      Longer lead times lead to greater variability in estimates of average demand, thus increasing variability and safety stock costs

       Batch ordering

      Peaks and valleys in orders

      Fixed ordering costs

      Impact of transportation costs (e.g., fuel costs)

      Sales quotas

       Price fluctuations

      Promotion and discount policies

       Lack of centralized information