Why Supply Chain Efficiency Can Become a Liability

Logistics & Supply Chain Management

A procurement team celebrates a lower unit price. Inventory falls, warehouses consolidate and a preferred supplier receives more volume. Each change appears efficient. Then a disruption interrupts one component and several production lines stop. The vulnerability was not created on the day of the disruption. It was accumulated through decisions whose benefits were visible and whose dependencies were less carefully measured.

This does not mean efficiency is inherently dangerous. Removing defects, sharing reliable information and simplifying procedures can improve both cost and resilience. The deeper issue is the definition of efficiency. A system optimised for ordinary conditions may look excellent while carrying an expensive exposure to conditions outside its planning assumptions.

Efficiency depends on the boundary of the calculation

A low purchase price is a narrow measure of performance. Total cost may also include freight, inspection, inventory financing, expediting, defects and the consequences of interrupted production. A saving in one department can therefore create a cost elsewhere without appearing in the original performance measure.

The boundary extends across time. A supplier consolidation decision may deliver immediate discounts while reducing the alternatives available during a future shock. The potential loss remains uncertain, whereas the negotiated saving enters the next report. This asymmetry can encourage managers to overvalue what is easily measured.

McKinnon’s review of supply-chain resilience describes how low inventory, single sourcing, centralisation and tightly coupled processes have delivered significant benefits while creating vulnerabilities in interconnected networks (McKinnon, 2014). The implication is not to reject these practices universally. It is to examine the conditions under which their benefits remain worth their exposure.

A network can be fragile even when its firms are efficient

Imagine a hypothetical manufacturer using two suppliers for a specialised component. On paper, it has diversified. Further investigation shows that both suppliers depend on the same upstream processor and the same port. Two contracts provide less independence than the supplier count suggests.

This is a problem of correlated exposure. Redundancy protects against a disruption only to the extent that the alternative can remain available when the primary source fails. Geographic separation may help in one scenario and do little in another. Different suppliers may share electricity infrastructure, transport corridors or a critical digital service.

The unit of analysis should therefore be the relevant network rather than the immediate vendor list. Perfect visibility is rarely achievable, particularly for smaller firms. A practical approach is to map the dependencies of the most consequential inputs first and be explicit about where knowledge is incomplete.

Supplier evaluation becomes more meaningful when it asks what can interrupt delivery, how quickly an alternative can respond and which assumptions make the contingency credible.

Average performance can conceal the risk that matters

Suppose a route usually delivers within five days but occasionally takes twenty. Another consistently takes seven. A decision based only on the average lead time may miss the value of predictability. Production schedules depend not only on expected arrival but also on the distribution of possible delays.

The consequences of failure can also be nonlinear. A small component may represent a negligible share of purchasing expenditure but prevent completion of a high-value product. Prioritising solely by spend can therefore leave a critical bottleneck underprotected. The right question is what the organisation loses if the input becomes unavailable.

An expected-loss calculation can organise the discussion: combine a plausible disruption probability with the associated consequence, then compare mitigation costs. However, severe disruptions often have poorly estimated probabilities and changing dependencies. Scenario analysis is therefore a complement to calculation, especially where a single failure could threaten continuity.

Quantification should sharpen judgment without creating a false sense that every relevant uncertainty has become measurable.

Slack can function as an option

An unused production slot, a reserve transport arrangement or a qualified second supplier may look wasteful in ordinary operations. Its value lies partly in preserving a choice when circumstances change. Like an option, it can be useful even when it is not exercised during a particular period.

Consider a hypothetical choice between an additional annual buffer cost of ₹8 lakh and a disruption scenario involving ₹30 lakh of contribution loss. The comparison is incomplete without considering likelihood, recovery time, obsolescence and whether the buffer actually covers the critical interval. The figures structure a decision; they do not prove which choice is correct.

The same logic explains why indiscriminate stockpiling is weak strategy. Extra inventory can expire, become obsolete or conceal process problems. A reserve of the wrong component does not protect a bottleneck. Resilience requires a match between the identified failure mechanism and the capability purchased to address it.

A deliberate buffer should therefore have a purpose, a location, a review interval and a reason for its size.

Flexibility can outperform accumulation

Resilience can come from changing the system’s response rather than increasing every reserve. Product designs that accept alternative components, contracts that permit volume adjustments and reliable shipment information may create room to adapt. Each intervention addresses a different constraint.

The OECD’s 2025 review frames resilience around agility, adaptability and alignment. It also finds that broad relocalisation scenarios can be costly and do not consistently improve stability (OECD, 2025). This challenges the assumption that bringing activity closer automatically removes risk. Local concentration may simply replace one dependency with another.

For managers, location should be evaluated against particular threats and capabilities. A nearby supplier may enable rapid replenishment but share a regional disruption. A distant supplier may offer diversification but require longer recovery planning. The answer depends on the product, network and scenario, rather than an ideological preference for local or global sourcing.

Better information can support these choices, but visibility alone is insufficient. Knowing that a shipment will be late creates value only if the organisation has a useful response available.

Incentives determine whether resilience survives budgeting

A procurement manager evaluated on unit savings may resist paying for backup capacity. A finance team may see the working-capital cost of inventory more clearly than the avoided loss from a disruption. Operations may request large buffers without demonstrating which risks they address. Each function has a partial view.

A stronger decision process makes the trade-offs jointly visible. Compare service reliability, cash commitments, recovery capability and total cost. Assign ownership for maintaining contingency arrangements, because an untested alternative can become obsolete as specifications, demand and supplier capacity change.

Contracts also deserve scrutiny. A backup supplier that has no reserved capacity may be unable to respond when many customers face the same shock. A supplier pressured into unsustainable pricing may reduce investment in maintenance or quality. A superficially efficient arrangement can undermine the capability on which future reliability depends.

Resilience is therefore partly a problem of governance and incentives across firms, as well as a problem of physical inventory.

Teach the decision under stress

Students can begin with a supply-chain design that minimises normal operating cost. Faculty can then introduce a disruption: a transport interruption, loss of a specialised supplier or an unexpected demand surge. Teams should explain which assumptions failed and compare responses without assuming unlimited money or perfect information.

A second round can require students to redesign the system before knowing which disruption will occur. This makes the problem more realistic. The objective becomes a defensible balance of cost, flexibility and survivability, rather than retrospective certainty about the best buffer.

Supply-chain efficiency becomes a liability when the calculation excludes the conditions required for the business to keep operating. Sound management preserves the benefits of disciplined operations while investigating concentrated dependencies and the cost of losing choices. The most capable supply chain is not simply the leanest in ordinary weather. It is one whose economics remain credible when ordinary conditions no longer apply.

References

1\. McKinnon, A. (2014). Building Supply Chain Resilience: A Review of Challenges and Strategies. International Transport Forum Discussion Papers, No. 2014/06. OECD Publishing. doi:10.1787/5jrw2z6nnxlq-en.

https\://www\.oecd.org/en/publications/building-supply-chain-resilience\_5jrw2z6nnxlq-en.html

2\. OECD (2025). OECD Supply Chain Resilience Review: Navigating Risks. OECD Publishing. doi:10.1787/94e3a8ea-en.

https\://www\.oecd.org/en/publications/2025/06/oecd-supply-chain-resilience-review\_9930d256.html

Sources verified online: 20 October 2026\.