GSMPR627 – Operations Final – Flashcards
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Process design
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Use in operations decisions when: Long time horizon Medium accuracy Single or few forecasts Top-level management Qualitative or causal forecasting method
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Capacity planning
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Use in operations decisions when: Long time horizon Medium accuracy Single or few forecasts Top-level management Qualitative or causal forecasting method
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Aggregate planning
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Use in operations decisions when: Medium time horizon High accuracy Few forecasts Middle level management Causal and time series forecasting method
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Scheduling
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Use in operations decisions when: Short time horizon Highest accuracy Many forecasts Lower-level management Time series forecasting method
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Inventory management
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Use in operations decisions when: Short time horizon Highest accuracy Many forecasts Lower-level management Time series forecasting method
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Long-range marketing programs
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Use in marketing, finance, and HR when: Long time horizon Medium accuracy Single or few number of forecasts Top-level management Qualitative forecasting method
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Pricing decisions
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Use in marketing, finance, and HR when: Short time horizon High accuracy Many forecasts Middle management Time series forecasting method
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New product introduction
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Use in marketing, finance, and HR when: Medium time horizon Medium accuracy Single forecast Top-level management Qualitative and causal forecasting method
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Cost estimating
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Use in marketing, finance, and HR when: Short time horizon High accuracy Many forecasts Lower-level management Time series forecasting method
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Capital budgeting
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Use in marketing, finance, and HR when: Medium time horizon Highest accuracy Few number of forecasts Top-level management Causal and time series forecasting method
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Labor planning
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Use in marketing, finance, and HR when: Medium time horizon Medium accuracy Few number of forecasts Lower-level management Qualitative and time series forecasting methods
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Qualitative forecasting methods
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Based on managerial judgment when there is a lack of data. No specific model. Major methods: Delphi technique, market surveys, life-cycles analogy, informed judgment
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Moving average
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Forecasting method Assumes no trend, seasonality, or cycle Formula:
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Exponential smothing
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Based on the idea that a new average can be computed from an old average along with the most recent observed demand
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Simple exponential smoothing
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Assume time series is level with no cycles and that there are no seasonal or trend components
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Forecast error
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Used to monitor outliers and erratic demand observations, to determine when the forecasting method is no longer tracking actual demand, to determine the parameter values that provide the forecast with the least error, and to set safety stocks or safety capacity
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Forecast accuracy
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...
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Causal forecasting methods
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Cause-and-effect model, using other data sets to predict demand Ex: Use population to forecast newspaper sales, use supply chain data on inventory levels to forecast flat screen TV sales
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Considerations in selecting a forecasting model
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User and system sophistication Time and resources available Use or decision characteristics Data availability Data pattern
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Collaborative Planning, Forecasting, and Replenishment (CPFR)
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Aim is to achieve more accurate forecasts, share information in the supply chain with customers and suppliers, and compare forecasts Works best in B2B with few customers (e.g., a small number of large retailers)
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Capacity
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Maximum output that can be produced over a given period of time
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Theoretical capacity
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Labor availability and overtime Physical assets, delayed maintenance, etc Can be used for short-term demand spikes
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Effective capacity
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Should be used in planning Subtracts maintenance downtime, shift breaks, absenteeism
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Capacity utilization
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(Actual output / Capacity) * 100% Utilization is seldom 100%
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Facilities decisions
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How much capacity Size of facility When capacity is needed Location of facility Type of facility/capacity needed Constrain all other capacity decisions
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Facilities strategy
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Considerations include: Amount of capacity, size of facilities, timing of facility decisions, types of facilities
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Factors affecting facilities strategy
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Predicted demand Cost of facilities Likely behavior of competitors Business strategy International considerations
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Capacity cushion
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100% - Utilization
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Strategies for capacity cushion
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1.) Large cushion - make-to-order 2.) Moderate cushions - cost of running out balanced with cost of excess capacity 3.) Small cushion - make-to-stock
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Optimum facility size
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Economies of scale - production costs are not linear and overhead is spread over more units Diseonomies of scale - increased transportation costs ,cost of more bureaucracy, and increased organizational complexity
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Timing of facility additions
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Preempt the competition - build capacity ahead of need and positive capacity cushion Wait-and-see strategy - Small or negative capacity cushion, lower risk strategy
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Location of facilities
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Quantitative factors - ROI, transportation, taxes, lead times Qualitative factors - language, norms, worker and customer attitudes, proximity to customers/suppliers/competitors
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Types of facilities
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Product-focused (55%) -One family of products/services (e.g., computers) Market-focused (30%) - Located near sales (e.g., electricity, bakeries) Process-focused (10%) - Few technologies (e.g., computer chips, MRI center) General purpose (5%) - Several products/services (e.g., furniture, banking)
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Sales & Operations Planning
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Matching supply and demand over a medium time range Time horizon of about 12 months Aggregated demand for one or few categories of product, demand may fluctuate or be uncertain Possible to change both supply and demand Facilities are fixed
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Options for Managing (Influencing) Demand
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Pricing Advertising and promotion Backlogs or reservations Development of complementary offerings Hiring and layoff of employees Using overtime and undertime Using part-time or temporary labor Carrying inventory Outsourcing/subcontracting Cooperative arrangements
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Aggregate planning strategies
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Level strategy - constant work force, inventory as a buffer Chase strategy - vary workforce, produce to demand, typical for services
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Batch scheduling
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Network of queues, as job moves from work center to work station job = manufacturing parts, customer, paperwork work station = machine, room, facility, worker Customers or jobs spend most of their time at work stations waiting to be processed Typical for actual work to be 5-20% of total throughput time
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Challenges of batch/job shop scheduling
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Variety of jobs processed, different routing and processing requirements of each job, number of different job orders in the facility at any one time, competition for common resources
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Gantt Charting
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-Scheduling multiple jobs through set of work centers in order to minimize completion time -Used to monitor progress of jobs -Optimal schedule can be computationally intensive of multiple jobs/multiple machines
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Makespan
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Total time to complete a set of jobs
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Mahcine utilization
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Percent of makespan time machine (or person) is used
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Finite capacity scheduling
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-Scheduling jobs onto work stations, but not to exceed the capacity of any given resource -Can be used to identify bottlenecks
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Forward scheduling
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To determine completion date for all orders
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Backward scheduling
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Work backward from due date to determine start date for orders
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Theory of Constraints
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-Goal is to make money from operations -Production does not have value until it is sold
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TOC Key Elements
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Throughput = sales - COGS Inventory = raw materials value Operating expenses = cost of conversion and overhead
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Critical Ratio
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= Remaining time until due date / remaining processing time
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Inventory
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A stock of materials used to facilitate production or satisfy customer demands
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Types of inventory
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-Raw materials, purchased parts -Work in process -Finished goods
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Purpose of inventories
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-To protect against uncertainties (ie safety stock) -To allow economic production and purchase (ie cycle inventory) -To cover anticipated changes in demand/supply (ie anticipation inventory) -To provide for transit (ie pipeline inventory)
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Costs of inventory
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-Item cost -Ordering (or setup) cost -Carrying (or holding) cost -Stockout cost
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Item cost
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-Expressed as cost per unit or SKU -Quantity discounts possible
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Ordering (or setup) cost
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-Paperwork, worker time (ordering) -Worker time, downtime (setup) -Transportation costs -Typically a fixed cost per order (or setup)
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Carrying (or holding) cost
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-Cost of capital (market rate or internal rate of return) -Cost of storage (building, utilities, insurance, handling) -Cost of obsolescence, deterioration, and loss (shrinkage)
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Stockout cost
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-Back order costs -Lost income -Customer dissatisfaction -Loss of future sales
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Types of demand
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-Independent demand -Dependent demand
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Independent demand
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-Finished goods, spare parts -Based on market demand, independent of other items -Requires forecasting
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Dependent demand
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-Components/parts of the finished products (raw materials/WIP) -Demand is a known function of independent demand items -Calculate instead of forecast
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Economic order quantity (EOQ)
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-Used to answer the question: How much should we order? -Used for independent demand items -Objective is to find order quantity that minimizes total cost of managing inventory -Must calculate for each SKU
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EOQ assumptions
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-Demand rate is constant, recurring, and known. -Lead time is constant and known. -No stockouts allowed. -Items are ordered or produced in a lot or batch, and the lot is received all at once. -Costs are constant -Item is a single product or SKU; demand not influenced by other items.
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EOQ calculation notation
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D = Demand rate, units per year S = Cost per order placed or setup cost, dollars per order C = Unit cost, dollars per unit i = Carrying rate, percent of value per year Q = Lots size, units TC = Total of ordering cost plus carrying cost, dollar per year
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Order cost per year
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(cost per order) x (orders per year) = SD/Q
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Carrying cost per year
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(annual carrying rate) x (unit cost) x (average inventory level) = iCQ/2
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Total annual cost
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ordering cost per year + carrying cost per year = SD/Q + iCQ/2
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Continuous review system
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-Relax assumption of constant demand; demand is assumed to be random -Check inventory position each time there is demand -If inventory position drops below reorder point, place order for the EOQ -Also called the fixed-order-quantiy or Q system
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Reorder point calculation
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R = m + s R = Reorder point m = mean demand during lead time s = safety stock
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Service level
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-When demand is random, reorder point must account for desired service level (fill rate)
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Types of service levels
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-Probability all customer orders will be filled while waiting for supply order to arrive. -Percentage of demand filled from stock. -Percentage of time item is on hand.
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Periodic review system
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-Review inventory position at fixed interval (P), like a bread truck visiting grocery stores every Tuesday -Inventory is brought up to a target level -Order quantity varies according to demand -Also called the fixed-order-interval system or P system
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Periodic review system calculation
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...
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P system service level
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Safety stock must cover a longer interval (P+L)
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Vendor managed inventory (VMI)
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-Supply chain management where you pass responsibility for managing inventory stocks to vendors -Vendor must access to buyer's demand forecast and inventory records -Managed through contractual arrangement -Supply chain partners share cost savings of collaboration
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ABC inventory management
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-Based on Pareto concept (80/20) and total usage in dollars of each item -Classification of A, B, and C items based on usage -Purpose it to set effort priorities to manage different SKUs
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Materials requirement planning (MRP)
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-Used to manage dependent demand items -driven by the master schedule -parts explosion breaks end items into all requirements for components/parts using BOM -Schedule offset based on lead times -Push system used because master schedule is constantly changing
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Types of MRP
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Type I: Inventory control system (MRP) Type II: Production, inventory control system (MRPII) Type III: Enterprise Resource Planning system (ERP)
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MRP elements
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-Inputs - master schedule, BOM, inventory records -Capacity planning -Purchasing -Shop-floor control
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Master schedule
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-Quantities derived from aggregate production plan -Frozen within production lead time -Quantities reflect "build" schedule rather than demand forecasts -Quantities represent what needs to be produced
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Bill of Materials (BOM)
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-Structured list of all parts and materials -Must be 100 percent accurate -Should be one BOM per product per company
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Purchasing
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-Greatly enhanced by use of MRP -Past due orders mostly eliminated -Order expediting mostly eliminated -Can provide vendors with reports of planned future orders -Can use EDI to communicate directly with vendors
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Shop floor control
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-Purposes - release orders to the shop floor and manage the orders for on-time completion -Set job priorities -Manage lead times on basis of priority -Minimize inventory while meeting completion dates
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Required elements for successful MRP system
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-Implementation planning -Appropriate and adequate IT support -Accurate data -Management support -User knowledge
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Enterprise resource planning (ERP) systems
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-Extension and integration of all functions through a common database -Coordinates decisions along the supply chain -Expensive, time-consuming to implement -Major software vendors
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A qualitative forecast would most likely be used for
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process design
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A regression model is example of..
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a causal forecasting method.
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When should qualitative methods not be used?
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When making major costly decisions such as facilities locations.
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The difference between actual demand and the forecast
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Forecast error
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Measures of forecast accuracy
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Cumulative sum of forecast errors Mean square error Mean absolute deviation of forecast errors Mean absolute percentage errors
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Time-series forecasting
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-Basic strategy is to identify the magnitude and form of each component based on available past data -Is used to make detailed analyses of past demand patters over time and to project these patterns forward into the future -Demand can be divided into components such as average level, trend, seasonality, cycle, and error.
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With exponential smoothing, if we want forecasts to be very responsive to recent demand then the value of alpha should be
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large
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Forecast error estimates are used to
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-monitor erratic demand observations or outliers -determine when the forecasting method is no longer tracking actual demand and needs to be reset -determine parameter values that provide the most accurate forecasts
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Important factors in selecting a forecasting method
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-User and system sophistication -Time and resources available -Data availability
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CPFR
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-Basic idea is to share forecasting information with the suppliers and customers in the supply chain -Is best applied to a few customers representing the bulk of demand -Creates visibility in the supply chain, minimizing the occurrence of bullwhip in supply chains
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All forecasts should include two estimates
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-Estimate of demand -Estimate of the forecasting error
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In aggregate planning
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"aggregate" implies that planning is done for a single overall measure of output or at most a few products
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Demand management variables
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Reservations, pricing, and advertising
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Supply management variables
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Inventory, subcontracting, and cooperative agreements
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The aggregate planning problem
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Needs to consider multiple tradeoffs such as customer service level, inventory levels, labor force stability, and costs
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Aggregate planning is
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-concerned with matching supply and demand of output -determines not only the output levels but also the appropriate resource mix to be used -aimed at setting overall output levels for the medium-range future
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Aggregate planning in service organizations
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-time horizon of 12 months, on average, is used -Both supply and demand variables can be changed -Facilities are considered fixed
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Under a level strategy, variations in demand are managed by
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varying inventory levels
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Aggregate planning costs include
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Hiring and layoff costs, part-time labor costs, subcontracting costs
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Chase strategy
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Firm produces exactly what is needed each month
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A large capacity cushion is appropriate when
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a firm is attempting to capture market share in a growing industry
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Aggregate planning and scheduling differ in that
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aggregate planning deals with acquiring resources and scheduling deals with allocating resources
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Three conflicting objectives of scheduling
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Low inventories, high efficiency, and good customer service
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Overriding problem of batch scheduling
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Managing queues
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A bottleneck is
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a resource whose capacity is less than the capacity of all other resources and whose capacity is less than the demand placed on it
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Reasons for batch scheduling being a complex management problem
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-Irregular flow of units with many starts and stops -Layout of the batch process by machine group or skills into work centers -Batches result in inventory or people waiting in queues
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Gantt charting determines
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-Waiting time of each job, makespan of all jobs, and resource utilization
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Most common priority dispatch rule
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First come, first served
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TOC is
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a strategic technique used to help firms effectively improve the rate at which raw materials are converted to finished goods and then money through sales
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In TOC, inventory is
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the raw material value of any goods being held in inventory
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Finite capacity scheduling can be used to
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identify the bottleneck in a given process.
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Throughput is defined as
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the difference between sales and the operating expenses of a plant.
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Stockout costs
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are the most difficult to estimate in determining total inventory costs.
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Carrying cost components
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obsolescence cost, storage cost, and capital cost
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Replenishment philosophy
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is appropriate give nindependent demand
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Capacity is
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resources that provide the potential to produce items
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Components of inventory ordering costs
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transportation costs, obsolescence costs, and receiving costs
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Purposes of inventory
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to protect against uncertainties, to allow economic production of batches, and to provide for transit
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Independent demand consists of
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inventory whose demand is determined by market conditions outside the firm
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ABC analysis requires that inventory be classified according to
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annual dollar usage
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Safety stock inventory is
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maintained to absorb uncertainty in, for example, delivery lead time from suppliers
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Service levels is
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the percentage of time the system has an item on hand, the percentage of demand filled from stock, and the probability that all orders are filled from stock
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Type II MRP systems has
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feedback to control capacity
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A requirements-based system derives orders from
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the master schedule
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A replenishment-based system derives orders from
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forecast or customer request
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An MRP system is designed to deal with
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lumpy demand
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The parts explosion results in
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purchase orders and shop orders
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Mechanisms for handling uncertainty when operating an MRP system
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safety stock, safety lead-time, and safety capacity
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Objective of an MRP system is to
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meet manufacturing needs.
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Successful MRP system elements
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implementation planning, accurate data, user knowledge
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Master scheduling specifies
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the output of the operations function
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Inputs for an MRP parts explosion
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inventory, master schedule, bill of materials
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At the EOQ
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annual ordering cost and annual holding cost for an item are equal