Location Decisions in Supply Chain
Supply Chain Network Development
Overview of Traditional Distribution Networks
- The discussion begins with a conventional distribution network model, which includes vendor distribution centers, manufacturing setups, and warehouses within plants. This traditional setup features a serial connection between all facilities involved in the supply chain.
Evolution of Supply Chain Systems
- Modern supply chains have shifted towards a global environment where there is typically one national finished goods distribution center complemented by various regional centers. For example, India may have a central facility in Central India and four regional centers for North, East, West, and South regions.
Regional and Local Distribution Centers
- In addition to national and regional centers, local distribution centers are established at state levels (e.g., UP, MP, Maharashtra). These local centers operate on cross-docking principles to minimize inventory holding times. Products are repackaged at these locations before being dispatched directly to customer stores or customer distribution centers.
Cross-Docking Principles
- Cross-docking eliminates the need for physical inventory storage at local distribution centers; products move directly from suppliers to customers without long-term warehousing. This method enhances efficiency in modern supply chain networks by reducing response times significantly compared to traditional models that relied on single large distribution points.
Multi-Echelon Finished Goods Network
- The concept of multi-echelon systems has emerged as companies now utilize multiple finished goods facilities instead of relying solely on one central location. This evolution aims to improve service levels while maintaining economies of scale across different geographical areas. The shift reflects an adaptation to meet customer demands more effectively and quickly.
Importance of Facility Location Decisions
- As the discussion progresses into facility location strategies, three critical aspects are highlighted: the role of facilities, their size, and optimal locations for placement within the supply chain framework. Understanding these factors is essential for developing efficient logistics operations that can respond swiftly to market needs.
Gravity Method for Location Optimization
Understanding Defensive and Offensive Supply Chain Strategies
Types of Supply Chain Roles
- The discussion identifies three primary types of supply chain roles: manufacturing, warehouses, and retail. Additionally, it introduces a strategic perspective based on the desired competitive advantage—defensive or offensive.
Defensive Supply Chain Strategy
- A defensive supply chain strategy relies on conventional methods to reach customers without experimentation. It aims to match competitors' distribution networks.
- In a defensive approach, companies adopt existing distribution systems used by competitors to ensure they do not fall behind in performance.
Offensive Supply Chain Strategy
- An offensive supply chain strategy diverges from traditional methods, seeking innovative locations for distribution that provide a competitive edge.
- This approach may not guarantee success but allows companies to explore non-conventional routes for product distribution, potentially outperforming competitors.
Evolution of Strategies Over Time
- Initially successful offensive strategies can become standard practice over time, transitioning into defensive strategies as competitors adopt them.
- The example of ATMs illustrates how an initially innovative distribution method became a standard expectation in banking services.
Case Studies in Distribution Strategies
- E-commerce platforms began as an offensive strategy due to initial customer hesitance but have since become essential for business survival.
- 3M's attempt to distribute phenyl through beauty parlors exemplifies an unsuccessful offensive strategy; the target market did not align with the product's typical users.
Conclusion on Strategic Approaches
Understanding the Gravity Method of Location
Role of Distribution Facilities
- The discussion begins with the importance of innovative distribution methods in literature, emphasizing how they serve as classic examples for understanding distribution facilities.
Coordinates and Delivery Locations
- The coordinates (x, y) represent the location of a warehouse, while (xn, yn) denote delivery locations. This sets up a framework for determining optimal warehouse placement.
Distance Calculation
- The distance dn from the warehouse to each delivery location is defined. It incorporates both the coordinates and annual load Fn , which is crucial for calculating transportation needs.
Formula for Determining Warehouse Location
- A formula is introduced to calculate dn :
[
Dn = sqrt(x - xn)^2 + (y - yn)^2
]
This formula will help determine optimal coordinates for the warehouse based on delivery demands.
Example Application: Sourcing Facilities
- An example involving sourcing facilities in Pune, Gurgaon, and Jamshedpur is presented. Markets include Ahmedabad, Cochin, Hyderabad, Chennai, and Bangalore. Transportation costs per ton per kilometer are also discussed.
Input Data Setup in Excel
Spreadsheet Preparation
- Instructions are provided on setting up an Excel spreadsheet to input data related to supply sources and market demands. Key elements include transportation costs and quantities available at each source.
Developing Formulas in Excel
- The process of creating formulas within Excel is outlined. Specifically, cell G4 will be used to calculate distance dn , using:
[
dn = sqrt(B15 - E4)^2 + (B16 - F4)^2
]
Importance of Absolute Values in Formulas
- Emphasis is placed on using absolute values (denoted by dollar symbols in Excel). This ensures that certain coordinate values remain constant while others change as formulas are copied across cells.
Understanding the Optimization Process in Excel
Copying Formulas and Dynamic Cell References
- The speaker explains how to copy a formula from cell G4 to G11, maintaining common references for cells B15 and B16 while adjusting E and F cell references dynamically.
- The initial values of X and Y are set to 00, which influences the calculated values derived from the copied formulas.
Calculating Total Cost Using Sum Product
- The total cost in cell B18 is calculated using a sum product formula that multiplies corresponding values from columns C, D, and G across multiple rows (G4-G11).
- Each multiplication involves pairing G with D and C for each respective row, culminating in a comprehensive total cost reflected in cell B18.
Utilizing Solver for Cost Minimization
- To minimize total costs effectively, the speaker introduces the Solver tool within Excel, targeting cell B18 as the objective for minimization.
- Decision variables are identified as cells B15 and B16; these will be adjusted by Solver to achieve optimal results.
Results of Optimization
- Upon executing Solver, new optimized values emerge: approximately 700 for X and 1500 for Y. This adjustment significantly reduces transportation costs from over 477 million to about 193 million.