Business Continuity Plan PCA
If the Supply Chain is marked by operational hazards, particularly in its logistics component, it is now exposed in a more subtle and insidious way, but with far more serious consequences, to malicious acts or major risks. malicious acts or major risks.
There are words that mark eras. So it is with riskCustomer service risk, product loss risk, personal risk, image risk…
There are three key words to mastering risk in the supply chain: anticipate, train and observe. You have to think the unthinkable, prepare for it and keep watch, like a sentry soldier on the alert.
Anticipating risks and mitigating their effects
The construction of BCPs (Business Continuity Plans) is a good way of mobilizing energies and interests around the subject of unforeseen risks, ranging from the partial or complete shutdown of a warehouse to the impossibility of using a means of transport.
Experience shows that BCPs encounter three types of difficulties in their design:
- the expression of objectives for the transitional period, defining the time needed to return to a normal situation
- the involvement of logistics service providers in the process, as a large part of the success of the approach depends on them.
- the involvement of general management in these issues.
Preparing and training teams
The weakness of most PCAs is that they are not “played” regularly.
If the design has been well done, the only way to ensure effective appropriation is through training. The Supply Chain is about daily action, and we assume that this action is worth training. But what about the exceptional? You have to be prepared to face them head-on. Deciding means making a decision. And making a decision in action takes practice.
Staying on the alert and under observation thanks to Big data and machine learning
This is where Big Data and Analytics tools come into their own. New-generation tools such as IBM’s Watson or Business Investigation’s GPS are based on information flows endogenous or exogenous to the company and, after a certain period of self-parameterization ( machine learning), to identify weak signals associated with increasing risks.
We operate in various sectors
Large groups, institutions, SMEs ; we have the resources to support companies of all sizes and in all circumstances (from long-term vision to crisis support)
Supply chain is becoming an integral part of industrial sites. Managing site supplies means working more closely with suppliers, and integrating factory workflows into the supply chain.
Our work focuses on issues relating to the organization and management of physical flows, as well as on forward-looking studies linked to territories. Our areas of expertise include urban logistics, modal shift and carbon footprint.