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Reasons for why supply chain management is critical
Global sourcing, financial impact, and performance impact/total cost of ownership
Supply chain management
The broad set of activities carried out by organizations to analyze sourcing opportunities, develop sourcing strategies, select suppliers, and carry out the activities required to procure goods and services
Total cost of ownership (TCO)
Purchase price, amount paid to the supplier for the product or service, is not the only consideration
Strategic sourcing process
assess opportunities
profile internally and externally
develop the sourcing/category strategy
screen suppliers and create selection criteria
conduct supplier selection
negotiate and implement agreements
Insourcing
The use of resources within the firm to provide products or services
Advantages of insources
high degree of control, ability to oversee the entire program, and economies of scale/scope
Disadvantages of insources
reduced strategic flexibility, required high investment, and potential suppliers may offer superior products/services
Outsourcing
The use of supply chain partners to provide products or services
Advantages of outsourcing
high strategic flexibility, low investment risk, and access to state of the art products/services
Disadvantages of outsourcing
Possibility of choosing a bad supplier, loss of control over the process and core technologies, communication and coordination challenges, increased risk of SC disruption and social responsibility
Factors affecting decision of insourcing vs outsourcing
environmental uncertainty, competition in the supplier market, ability to monitor suppliers performance favor outsourcing; while relationship of product/service to buying firm’s core competencies favors insourcing
Sourcing portfolio analysis
A structured approach used by decision makers to develop a sourcing strategy for a product or service, based on the value potential and the relative complexity or risk represented by a sourcing opportunity
Sourcing portfolio analysis quadrants
critical, bottleneck, leverage, and routine
Critical quadrant (sourcing portfolio analysis)
High value potential, high risk
Bottleneck quadrant (sourcing portfolio analysis)
Low value potential, high risk
Leverage quadrant (sourcing portfolio analysis)
High value potential, low risk
Routine quadrant (sourcing portfolio analysis)
Low value potential, low risk
Single sourcing
The buying firm depends on a single company for an item or service
Multiple sourcing
Shares its business across multiple suppliers, typically due to volume requirements, geography, or risk mitigation
Advantages of single sourcing
Volume leveraging, transportation economies, and reducing quality variability
Disadvantages of single sourcing
Knowing they have the business, suppliers can actually increase prices in the short term, increased supply risk, and buyers can become “captive” to a supplier’s technology
Advantages of multiple sourcing
Create competition, spread risk, and required if the purchased volume is too great for 1 supplier
Disadvantages of multiple sourcing
Reduces supplier loyalty, can increase risk in the event of a shortage, and may result in different product attributes with varying quality
Weighted-point evaluation system
A common type of multi-criteria decision model in which the user (buying firm) assigns weights to performance measures (such as cost, quality, and delivery), then rates the supplier in regard to how well they perform against those criteria
Procure-to-pay cycle
The set of activities required to first identify a need, assign a supplier to meet that need, approve the specification or scope, acknowledge receipt, and submit payment to the supplier
Trends in SM
Sustainable supply and supply chain disruptions,
Logistics management
The part of supply chain management that plans, implements, and controls the efficient, effective forward and reverse flow and storage of goods, services, and related information between the point of origin and the point of consumption in order to meet customers' requirements
Logistics management key business activities
Transportation, warehousing, material handling, packaging, inventory management, logistics information systems
Why increasing interest
cost, delivery performance impact, flexibility, globalization of markets, technological breakthroughs, and environmental concerns
Environmental concerns in logistics
Sustainability - fuel efficiency, pollution, reduction of packaging, recover, recycling, and reuse
Transportation modes
Highway, water, rail, air, pipline, and digital networks
Highway transportation mode
Strength: Flexibility to deliver where and when needed. Often, the best balance among cost, flexibility, and reliability/speed of delivery
Weakness: Not fast or cheap
Water transportation mode
Strength: Highly cost-effective for bulky items. Most effective when linked to a multimodal system
Weakness: Limited locations. Relatively poor delivery reliability/speed
Rail transportation mode
Strength: Highly cost-effective for bulky items. Can be most effective when linked to a multimodal system
Weakness: Limited locations, although less so than with water. Better reliability/speed of delivery than water
Air transportation mode
Strength: Quickest mode of delivery. Flexible, especially when linked to the highway mode
Weakness: Often the most expensive mode on a per-pound basis
Roadrailers
Specialized rail car the size of a standard truck trailer that can be quickly switched from rail to ground transportation by changing the wheels
Multimodal solutions
A transportation solution that seeks to exploit the strengths of multiple transportation modes
Warehousing
Any operations that store, repackage, stage, sort, or centralize goods or materials
Consolidation warehousing
Form of warehousing that pulls together shipments from a number of sources (often plants) in the same geographical area and combines them into larger
Cross-docking
Form of warehousing in which large incoming shipments are received and then broken down into smaller outgoing shipments to demand points in a geographic area
Break-bulk
Specialized form of cross-docking in which the incoming shipments are from a single source or manufacturer
Hub and spoke
Form of warehousing in which strategically placed hubs are used as sorting or transfer facilities. The hubs are typically located at convenient, high-traffic locations. The “spokes” refer to the routes serving the destinations associated with the hubs
Ways to improve operational efficiency
Postponement, spot stock, and assortment
Postponement warehousing
Form of warehousing that combines warehouse operations with light manufacturing and packaging duties to allow companies to put off final assembly or packaging of goods until the last possible moment
Assortment warehousing
Form of warehousing in which a wide array of goods is held close to the source of demand in order to reduce customer lead times
Spot stock warehousing
Form of warehousing that positions seasonal goods close to the marketplace. At the end of each season, the goods are either liquidated or moved back to a more centralized location
Information systems
Decision support tools, planning systems, and execution systems
Material handling systems
A system that includes the equipment and procedures needed to move goods within a facility; between a facility and a transportation mode; and between different transportation modes (ex: forklifts)
Packaging
The way goods and materials are packed in order to facilitate physical, informational, and monetary flows through the SC
Perfect order
A term used to refer to the timely error-free provision of a product or service in good condition
Landed cost
The cost of a product plus all the costs driven by logistics activities
Reverse logistics system
A complete SC dedicated to the reverse flow of products and materials for the purpose of returns, repair, remanufacture, and/or recycling
Forecast
An estimate of the future level of some variable
Reasons for forecasting
Assess long-term capacity needs, develop budgets/hiring plans, plan production or order materials, get agreement within company and across SC partners
How many laws of forecasting
4
Law 1 of forecasting
Forecasts are almost always wrong (however, still useful)
Law 2 of forecasting
Forecasts for the near term tend to be more accurate
Law 3 of forecasting
Forecasts for groups of products or services tend to be more accurate
Law 4 of forecasting
Forecasts are no substitute for calculated values (future chapter on MRP)
When to select qualitative forecasting approach
Little to no data available & relationship between past events and future events is difficult or impossible to model quantitatively
When to select quantitative forecasting approach
Historical data available & evidence of a relationship between the variable of interest and some other variable(s)
Qualitative approach examples
Markey surveys, build-up forecasts, the life cycle analogy method, panel consensus forecasting, and the Delphi method
Quantitative approach examples
timer series model approach and casual model approach
Time series model approach
Moving average, weighted moving average, exponential smoothing, and linear regression
Casual model approach
Linear regression and multiple regression
Market survey
Qualitative - structured questionnaires
Panel consensus
Qualitative - joint discussion by experts
Delphi
Qualitative - experts working individually, then shared amount group and repeated until a consensus is reached
Life cycle analogy
Qualitative - identify demand levels for 4 stages of life cycle (use demand of similar products to model new product demand)
Build-up
Qualitative - individual market forecasts aggregated
Time series forecasting
Distinguishing between random fluctuations and true changes in underlying demand patterns
Demands of time series forecasting
randomness, trend, and/or seasonality
Models of time series forecasting
Moving average, weighted moving average, exponential smoothing, and adjusted exponential smoothing
Moving average
Takes an average of actual demand from the past periods to forecast the next period
Weighted moving average
Takes a weighted average of actual demand from the past periods to forecast the next period
Exponential smoothing
Uses forecast for the current time period, actual demand, and the weight (sophisticated weight averaging model)
Adjusted exponential smoothing
Exponential smoothing plus a trend adjustment factor
Measuring forecast accuracy
Need measures of forecast accuracy to assess how well an individual model is performing or to compare models
Ways to measure forecast accuracy
FE, MFE, MAD
FE
Forecast Error
Mean Forecast Error (MFE)
Measures the bias of a forecast model or the propensity of a model to under or over forecast. (+ = under / - = over)
Mean Absolute Deviation (MAD)
Tracks the average size of the errors, regardless of direction
Mean Absolute Percentage Error (MAPE)
Considers the absolute value of the forecast errors and indicates the magnitude of the errors
Sales and operations planning (S&OP)
A process to develop tactical plans by integrating marketing plans for new and existing products with the management of the supply chain; it brings together all the plans for the business into one set of integrated plans
Position of S&OP within the overall business planning cycle
Tactical planning
Purpose of S&OP
Select capacity options over the intermediate time horizon
Tactical planning timing
12-24 months out
Inputs of S&OP
Strategic capacity levels, external capacities, and demand management
Strategic capacity
Existing buildings and processes
External capacities
Suppliers and subcontractors
Demand management
Forecasts of customer demand, need for spares, pricing, and promotions
Factors in determining an approach (town down vs bottom up)
Costs, cash flow, production consistency, employment stability, overtime, customer service, inventory, and flexibility
Planning values
Values that decision makers use to translate the sales forecasts into resource requirements and to determine the feasibility and costs of alternative sales and operations plans
Top-down planning
Level and chase
Level
An S&OP in which production is held constant, and inventory is used to absorb differences between production and the sales forecast
Chase
An S&OP in which production is changed each time period to match the sales forecast
Bottom-up iterative approach
Products with very different requirements, mix is unstable, and can be data-intensive
Options for services
Smooth out demand, tiered workforce, and offloading/minimize personnel-intensive activites