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stock control and supply chain management
stock control: maintain inventory levels so that
total cost of holding stock is minimised (avoid overstock)
avoid stock out situation (if unable meet customers’ needs, impacts cash flow + brand image)
supply chain management: coordinating and scheduling manufacturing to ensure products are produced efficiently, on time and in the quantities needed
stages/factors of supply chain
stages
extraction of raw materials
manufacturing
distribution
factors
length: offshoring longer / onshoring shorter → longer shipping route leads to longer delivery time + increased transport costs
place (marketing): retailers have smaller quantities but larger variety / wholesalers have larger quantities but limited variety
outsourcing
cash flow
why need global supply chains?
lower cost of labour etc
raw materials limited to certain countries
JIT vs JIC
stock levels
JIT minimal stock levels: raw materials ordered and delivered right before production.
JIC buffer stock: protects against unexpected increases in demand/supply chain disruptions/production delays → prevents stockouts
costs
JIT
lower cost of storage space and security
reduced waste from obsolete/expired goods
but unable exploit purchasing EOS
JIC
increased costs of larger storage facilities
holding obsolete/slow-moving stock increases costs
cost of wastage due to damage/theft
flexibility
JIT efficiency and ability to respond to changes in demand BUT needs reliable and efficient suppliers
JIC has buffer stock to protect against unexpected changes in demand/supply BUT less responsive to market change because buffer stock must be used up before new products can be produced
adv of ordering stock earlier
mitigate impact of possible supply chain disruptions/price fluctuations when demand increase
product availability: secure inventory before demand increases
avoid stockouts, able to meet customer demand → competitive advantage that can increase market share
disadv of ordering stock earlier
reduced liquidity, since cash is tied up
overstocking leads to increased storage costs, obsolescence and possible markdowns to clear excess inventory
risks of consumer demands changing → need accurate forecasts
types of stock
raw materials
semi-finished goods
finished goods
capacity utilisation
capacity utilisation = (actual output / max capacity) X 100%
extent to which org operates at max productive capacity
indicates productive efficiency at a point in time
increases if workers need to work over time (eg due to high demand)
adv of high capacity utilisation
exploit EOS, reduce unit cost of production (fixed costs spread out more) → higher profit margins
means very efficient, since makes most use out of resources
disadv of high capacity utilisation
workers overworked, demotivated
machinery wear out faster, depreciate at faster rate / higher cost of repairs
to increase capacity utilisation, may need upgrade IT systems → expensive
inflexible: if demand increase unexpectedly, no capacity to accommodate. customers may defect to competitors, affects brand image (eg hotel rooms fully booked)
disadv of underutilisation
(means resources are idle)
increased unit costs (since fixed costs spread out less)
workers under-deployed, fear of redundancy
defect rate
defect rate = (no. of defective products / total output in time period) X 100%
causes
faulty raw materials/supplies
faulty machinery: unable to reach acceptable tolerance limits
poorly trained employees
unmotivated employees
productivity
how efficiently inputs are converted into outputs (not the same as level of production)
types
labour productivity
capital productivity (or machine productivity)
factors
rivalry
investments in technology → higher quality, reduced defect rate / tools for efficiency
skill levels of workforce → careful recruitment, investment in training
managers’ attitude towards risk
labour productivity
labour productivity (no. of units per worker) = total output/no. of workers
reasons
lack of training (eg new technology, workers do not know how to use)
effect: more productive → more cost efficient in terms of labour costs
how to improve?
improve employee training
improve employee motivation
purchase more technologically advanced equipment
effective management (see HR)
capital productivity
capital productivity = value of output in time period / value of capital employed
alt: machine productivity = output in time period/ total machine hours
cost to buy / cost to make
calculations
cost to buy = price X no. of units + delivery costs
cost to make = total variable costs + total fixed costs
decision-making wrt costs
if CTB<CTM, outsource/subcontract (buy)
if CTM<CTB, insourcing/in-house production (make)
adv of buying instead of making
focusing on core competencies: does business specialise/could efforts be used more productively on other processes?
flexibility to adapt to changes in market conditions/technology
access to expertise
risk sharing
makes up for lack of own capital/labour capacity
disadv of buying instead of making
loss of control
quality concerns
dependency on suppliers
confidentiality risks
long-term costs may increase (transport, communications, coordination)
small businesses lack bargaining power over suppliers → affects prices and delivery times
operating profit
earnings from sales revenues before interest and taxes are deducted. It is found by subtracting all of a firm's expenses (except interest and taxes) from its total sales earnings.
Operating income = PBIT = Gross profit − Operating expenses (all expenses except interest and tax)
operating leverage
Degree of Operating Leverage = quantity (price – VC) ÷ (quantity (price – VC) – FC)
how well the business is using fixed costs to generate profits
for every 1% increase in sales revenue, operating income increases by _% (note that operating profit is a ratio/number, not percentage)
high DOL → mostly FC, total costs will not increase by much when demand increases → amplified profits during periods of growth BUT higher risk if not enough sales
moderate @ 1.6
if DOL ~ 1.05 → mostly VC → increase in demand means total costs increase by a lot too → lower profits
can reduce VC using automation
if DOL < 1.0 → costs > profits → should review pricing methods/streamline ops to reduce costs