Exam Study Flashcards
What are the 2 types of decisions that are key to fitting an operations strategy to the firm’s overall competitive position and strategic goals?
Structural (decisions regarding a firm’s physical attributes)
Infrastructural (the policies and systems underlying operations, which in turn have implications for structural and other infrastructural operational decisions)
Structural Decisions (4)
- Facilities (size, location, specialization)
- Capacity (amount to produce, type, timing)
- Sourcing and vertical integration (how much will be done internally and how much will be outsourced)
- Information process and technology (what equipment should be chosen, and how should they be located, connected and used)
Infrastructural Decisions (7)
- Resource allocation and capital budgeting
- HR systems
- Work planning and control systems
- Quality systems
- Measurement and reward systems
- Product and process development systems
- Organization
4 Components of Focus
- Product
- Process stages/technologies
- Geography
- Market and customer group
Operations Strategy
set of goals, policies and restrictions that guide organizations in optimizing their operations to fulfill its organizational mission
3 Tiers of Operations Strategy
Corporate Strategy - high-level decisions regarding how the firm will approach the industry and how it allocates resources to various activities, based on company values
Strategic Business Units (SBUs)/Business Strategy - Corporate strategies, but at a business subsidiary level – scope of that business and position in its respective industry
Functional Strategy - Support the type of competitive advantage being pursued. Includes strategies in operations, marketing/sales, financial control, research/development
***Value that a company embodies runs through all the tiers and inform, constrain, and unify strategies across the tiers.
4 Types in Service Industry Matrix
Professional Services (financial advisor) Service Shop (general hospital) Service Factory (one-type hospital like Shouldice) Mass Services (flying experience)
5 Types in Product Process Matrix
Project (shipyard) Job Shop (Airbus) Batch/Cell (H&M, textiles in general) Line (Tesla) Continuous flow product (refinery)
Product Process Matrix characteristics at top end and low end (ALF)
ASSETS (General to Dedicated)
LABOR (High skill to Low skill)
FLOW (Intermittent to Continuous)
Kaizen
Continuous Improvement
Combination of incremental improvement and radical/step improvement (incremental in workplace, eventually hit ceiling, then move to radical improvement)
How to implement -
- Measurement to know baseline
- Create SOPs to prevent backslide
Process failure symptoms (4)
- Poor Morale (staff turnover, sick days)
- Schedule Adherence (fire fighting)
- Buffers (inventory, capacity, time)
- Workarounds
Backsliding
Danger of just doing radical improvement
Reasons for failure/backsliding
- External consultants - no buy in
- Key personnel leave
- Wrong metrics
- Competing initiatives
Root Cause Analysis Tool
Fishbone diagram / Ishikawa diagram / 5 whys
Sandcone model (4 manufacturing capabilities)
CE - cost efficiency
S - speed
D - dependable (stable)
Q - quality
CAN ELIZABETH STAY a DEPENDABLE QUEEN?
Although in the short term you can trade off capabilities against one another, there is actually a hierarchy amongst the four capabilities.
Processes are improved by reductions in undesired variation and time. By improving one, you generally also improved the other.
Quality
To consistently produce to customer specification
Need to be in control and capable (independent)
Common Cause Variation (Stewart/Deming/Jwan)
Noise
Predictable from past-data
Assignable Cause Variation (Stewart/Deming/Jwan)
Non-random
Not predicatable
Process in control
Monitoring repeatability and consistency of the process
“early warning system”
Look for process walk (variation may be by shift, switching of machine) vs. random differences
A process is in control only if it exhibits common cause variation
As your process becomes better, more samples become necessary
Where do control/specification limits come from?
Control limits come from own data
Specification limits come from customers
SPC requirements
quantifiable, measurable, repetitive, actionable (implicit)
p-chart
binary. often a lower limit of zero. “attribute” - defective yes/no
p = number of defective unites/total units inspected
Just in Time (JIT)
Make only what is needed when it is needed in the right quantity
Reduce the seven wastes
3Ms - Muda
WASTE - everything the customer is not willing to pay for (internal or external)
3Ms - Mura
UNEVENESS - level scheduling (heijunka)
3Ms - Muri
OVERBURDEN - safe and productive workplace
Heijunka
level scheduling to eliminate mura
7 Wastes (TIMWOODt)
Transportaion Inventory (excess) Motion (on the shop floor - spaghetti map) Waiting Overproduction (worst) Overprocessing (wrong machine for the job) Defect (t)alent
DEMING CYCLE / Ball and Wedge diagram of Continuous Improvement (PDCA)
Part of House of Lean base
Ball that rotates: Plan Do it (on a trial basis) Check (outcomes/risks) Act (implement)
Wedge:
Standardization - hold the gains, no backslide
Jidoka
Intelligent automation - principle of designing equipment to stop automatically and to detect and call attention to problems immediately whenever they occur.
Bullwhip effect (definition)
Order variance increases over time due to bad demand signals (from customer, retailer, distributor, factory)
Time is x-axis, Demand is y-axis
Bullwhip effect (formula)
Cov2/Cov1 = 2 – order variance doubles in every cycle
Cov (Coefficient of variation) = standard deviation/mean (sigma over mu)
Root causes of bullwhip effect
- System’s effect/demand signal processing (time delays, tiers/decision points, variation/trigger [uncertainty])
- Order batching (volume discounts, full truck loads) (aka Burbidge effect)
- Rationing game (aka flywheel effect) and inflated orders (supply chain partners try to anticipate rationing by distributing by increasing order size/safety stock, not communicating this results in distributor causes them to think its an increase in customer demand)
- Price fluctuations/promotions (end users buy what the need by stocking up, EDLP is effective in eliminating this)
(5. Lead times - safety stocks and order quantities are calculated from lead time and variability)
Causes of Supply Chain Distortion
Uncertainty (from down and up stream)
- Demand uncertainty
- Conversion or throughput uncertainty
- Supply uncertainty
- Actual and self-created uncertainty
Main objective of supply chain management
Achieving stable and reliable flows in the system. The more volatile the demand and delivery patterns, the more inventory and sub-optimally utilized capacity you can expect.
Demand uncertainty
weather, seasonality, general trend, sales promotions, new product introductions or new technologies, competitor actions
Conversion or throughput uncertainty
producing defects, machine stoppages/breakdowns, long change-overs, unpredictable lead times
These can be eliminated through use of lean production/six sigma tools.
Supply uncertainty
variable quality, poor on-time delivery performance, variable lead times
Actual and self-created uncertainty
Self-created uncertainty is created by poor coordination in the supply chain (sales promotions lead to self-created slump in demand).
Actual uncertainty is uncertainty created by the end customer.
Ways to mitigate supply chain distortion
Vendor Managed Inventory (VMI) Electronic Point of Sale data (EPOS) Collaborative Forecasting (CF) Collaborative Planning, Forecasting and Replenishment (CPFR)
Information sharing and collaboration
Solution to bullwhip problem (think of the tiers of water and the floating balls as ordering decisions)
Vendor Managed Inventory (VMI)
Reduces supply chain distortion by removing decision making points. Reduces uncertainty and lead time (visibility and reduction of demand signals)
Customer passes inventory information to the supplier instead of orders.
Must agree on reorder point (ROP) and order-up-to point (OUP)
CPFR
Collaborative Planning, Forecasting and Replenishment
Which case study had an efficient supply chain and which had a responsive supply chain?
Efficient (stable demand) = Barilla
Responsive = Zara
Kingman Formula
Think airport security - can’t afford to load system to high degree if you want fast turnover and high variability
x-axis is capacity utilization (percentage), y-axis is wait time (queue) – line moves up and left as variability increases
Total Supply Chain Cost Model
Static (unit costs)
Dynamic
Hidden
Static Costs
Material
Labor
Transportation (customs and duties)
Dynamic Costs
Labor cost inflation
Safety stock
Potential obsolescence
Pipeline inventory
Hidden Costs
Political unrest Labor unrest Labor cost that remains in home country (quality) Natural disasters Tax/Currency movement Corruption IP loss Governance Quotas Reputational risk
Rock the boat analogy
Inventory masks problems
Safety stock is water
Rocks are damage, poor quality, shortages, equipment breakdowns, defects, DOWNTIME, QUALITY, LONG S/C
Little’s Law
How much inventory do I have in a pipeline? MINIMUM WIP IS NEEDED TO RUN A FACTORY
Little’s Law states that the minimum average WIP inventory (W) in a process is determined by the product of the average lead time (L) and average output rate (O) (inverse of cycle time)
Minimum WIP = lead time x throughput rate
Throughput rate is also cycle time
??? Lean production = reduce inventory by reducing lead time, little’s law deals with reducing the inventory?
The 5 S’s (of Lean Production House Keeping)
Sort Straighten Sweep Standardize Sustain/self-discipline
a methodical way to organize your workplace and your working practices, as well as being an overall philosophy and way of working.
Operating process
A process is a set of tasks to be performed in a defined sequence and uses inputs (such as labor, capital, knowledge, raw materials, purchased components, and energy) to create outputs that are of great value to customers and therefore to the organization itself
Two goals of the operating process
- Deliver the customer promise - strategic positioning, achieve effectiveness
- Create value for stakeholders - achieve efficiency
Sequential process
A set of tasks that must be performed in sequence, one after another
Parallel process
Tasks that can be performed at the same time. Outputs from parallel processes are typically integrated into one product at some point later in the process flow.
Work in Progress (WIP)
The number of units or partially completed units in the process at any point in time. WIP includes units currently being worked on, as well as those in WIP inventory.
WIP is separate from raw materials inventory (RMI) and finished goods inventory (FGI).
In a service, WIP can be customers, either receiving service or waiting to be served.
DOWNWARD POINTING TRIANGLE
Decision nodes
At this point in the process, the flow (of either customers or materials) can move in different directions.
DIAMOND WITH A QUESTION MARK
Information flow
The customer’s order informs the decision as to which employee will serve that customer.
Indicated with a dotted line and an arrow
Measuring Task Time
Usually standard times, which can be defined as the average time that an employee (or customer in many service processes) with average skills will take to complete a task, under ordinary circumstances, and working at a sustainable pace.
Consideration of batch processes
It takes time to change a machine from processing one kind of part or product to another, so processing multiple units of the same product together will save changeover (or setup time).
In order to account for a batch process, we need to consider setup time and run time.