EXAM 5 Flashcards

1
Q

Traits of good Logistics performance measurement

A

Quantitative
Easy to understand and calculate
Encourages appropriate behavior
Visible
Well-defined and mutually understood
Encompasses outputs & inputs
Measures only what is important
Multidimensional
Uses economies of effort
Facilitates trust

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2
Q

Margin vs Markup

A

margin is profit, market shows up much more the item is vs buying price

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3
Q

Different Process measurement categories

A

Time- on time deliver
Quality-Customer satisfaction
Cost-total delivered cost

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4
Q

High Level Relationships

A

logistics cost up=profit goes down, more tied up inventory=less capital goods needed to buy

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5
Q

ROA

A

Return on Assets= Profit/ Assets utilized
metrics used as a benchmark to compare management and organization performance.

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6
Q

Cash to Cash conversion Cycle

A

spending money and how long till they get the money back

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7
Q

Liquidity

A

Liquidity- how quickly an asset can turn into cash, stocks are high, real estate is low

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8
Q

How to Calculate Cash to Cash

A

inventory plus receivables, minus payables=cash to cash cycle

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9
Q

Flow of Information

A

Information connects the extended supply chain, providing cross-chain insights regarding demand, customer orders, delivery status, inventory stock levels and production schedules

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10
Q

EDI versus API

A

Use EDI for standardized, high-volume transactions in environments with established trading partners
Use APIs for dynamic, real-time, and diverse integrations, especially in modern, digital-first ecosystems.

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11
Q

Risks of Mitigate Technology

A

Unrealistic assumption that supply chain technologies will readily solve or fix flawed supply chains.

Weak technology-process alignment, leading to ill-fitting solutions that fail to achieve their promise

Technology gaps as a result of piecemeal purchases and deployment of technologies

Challenges in cross-chain systems integration with suppliers, service providers, and customers

Poor planning and preparation for technology implementation

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12
Q

Supply Chain Planning

A

Help organizations shift from autonomous planning activities to synchronized planning processes that use real-time data for collaboration across departments, suppliers & customers.

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13
Q

Supply Chain Execution

A

systems that help you move the product

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14
Q

Event Management

A

when a notification is sent when a product is picked up, shipped, received. A good event management means know one touched it, a smooth process from warehouse to home

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15
Q

ERP

A

Enterprise resource planning systems
Incorporate internal and external systems into a single unified solution that spans the enterprise

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16
Q

SRM

A

Supplier Relationship Management
A controlled and systematic approach to managing an organizations sourcing activities for goods and services

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17
Q

CRM

A

Customer relationship management
focuses on practices, strategies and technologies used to manage and analyze customer interactions and data throughout relationship lifecycle

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18
Q

Auto ID

A

Automatic identification and data capture technologies
-recognized objects, collects relevant information, and feed the data directly into the SCIS

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19
Q

What is a Supply Chain Strategy

A

Thoughtful planning
Identifying goals
Utilize resource
provides a framework

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20
Q

Why use a Supply Chain Strategy

A

Help achieve goals
Allocates resources
Clarifies purpose
Gives direction for action

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21
Q

7 principles of supply chain analytics

A
  1. adapt supply chain based on service
  2. customize logistics network for each segment
  3. align demand planning across the supply chain
  4. differentiate product closer to customer
  5. outsource strategically
  6. develop information technology that support multi-level decision making
  7. adopt both services and financial metrics
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22
Q

supply chain analytics

A

take a giant leap from data to info. then to understanding

23
Q

supply chain analytics (descriptive)

A

uses data to answer what, where, and when questions generates execptionally large amounts of descriptive data

24
Q

supply chain analytics (PRESCRIPTIVE)

A

shows predicted data based on sales and inventory.
tries to answer what should be done, often trying to take predictive findings and elevate them to prescriptive level

24
supply chain analytics (PREDICTIVE)
shows predicted/anticipated data. focuses on what is likely to happen, what are the likely trends, what are the results if certain events occur
25
Supply chain analytics (cognitive)
AI and machine learning
26
Element 1
industry framework- do people want to buy your product now or no, product lifestyle, how long will the product be popular
27
element 2
Element 2 unique value proposal- create a way the customer would want your product, not for you. Create criteria that differentiates you
28
Efficient model company examples
General Mills, Georiga pacific
29
effiecient model characterisitcs
Characteristics: Typically commoditized products Fierce competition on rates Production efficiency is most important Try to bypass warehousing when possible
30
effiecient model typical issues
Can create big month end spikes(lot more activity at end of the month) Container/trailer velocity issues Can be located in remote areas
31
Fast model company examples
tj maxx, williams sonoma
32
fast model characterisitcs
Lots of seasonal SKUs Consolidation centers “Special buys” Forecasting intensive
33
fast model typical issues
innacurate predictions (forcast miss bottlenecks) “Special buy” storage shortfalls
34
Continuous Flow Model company type
kroger, GM(not general mills)
35
Continuous Flow Model characterisitcs
Suited for JIT manufacturing High consistency Heavy information sharing
36
Continuous Flow Model typical issues
Heavy consequences for failure to deliver Spoiled product Assembly line shut down Potential penalties
37
Agile mdoel company type
AMAZOn, uline shipping supply
38
agile model characterisitcs
High service level requirement Volatile(easily adaptable) volume fluctuations High number of SKU’s Pay higher rates
39
agile model typical issues
Service requirements (noise level) can impact other customers Markets with tight capacity result in a fast escalation of price
40
Customer Configured Model company type
CAT construction company, Mastercraft cabinets
41
Customer Configured Model characterisitcs
Highly customizable products Difficulty forecasting Specialized equipment
42
Customer Configured Model typical issues
Sometimes requires special training Lack of density
43
flexible model company type
US department homeland securtiy, FEMA
44
flexible model characterisitcs
Emergency response Hard to forecast Typically executed as projects Could include pop up field offices
45
flexible model typical issues
Nothing typical, anything could happen Can consume equipment for a very long time
46
Scope Emissions 1
you are the producer
47
Scope Emissions 2
indirect, but through your purchase
48
scope emissions 3
emitted through your suppliers
49
Battery electric vehichle (BEV)
run on battery, PROs zero carbon emmisons, low maintence, better availability CONS, expensive, access to power, limited range, battery life, time to charge
50
Hydrogen powered trucks
cell or combustions Pros- zero or near zero emissions faster to refuel than electric longer range than electric CONS- more expensive than electric, process to extract hydrogen, limited fueling infrastructure, safely storing the compressed gas
51
compressed natural gas trucks CNG
run on compressed natural gas PROS- availble now and 40k more than diesel, range comparable with diesel, fast refueling and decent avaibilibily of fuel, cheaper fuel than diesel, lower particulare matter and NO2 exhaust CONS- only 20% less CO2 emmisons than diesel, safe storage of compressed hag, potential for menthan release, not california complaint
52