Temperature Controlled Logistics Reactions: Decision Making Agility
Damage from disruptions in the supply chain can’t be completely eradicated, however they can be mitigated. Disruptions could occur in the form of natural disasters, equipment/vehicle failure or unforeseen transport delays. Companies which apply –what if – scenarios are noted to be much better equipped and agile towards facing unforeseen occurrences in the supply chain. A wrong decision made within the temperature controlled transit of a pharmaceutical, may not only be costly in a financial sense but it also in terms of physical harm caused to patients in extreme cases.
There is an array of proactive planning tactics deployed in the cold chain such as shipment calls, lane validation and qualification that arm a pharma firm with oversight on how to manage and navigate risk prior to the initiation of the lane. For example, the increased level of data collected during temperature controlled shipments can be utilised to assess current practices and guide decision making. Data analytics can provide new alternatives to product distribution; help define the overall estimated costs and create potential scenarios. The combination of supply chain data analytics and risk management has the ability to create solutions that visualize the weak-points along the entire value chain, assesses them and helps develop new approaches and strategies. Understanding and identifying the specific risks along a given shipping lane is absolutely critical in order for a company to establish appropriate and effective contingency plans that their logistics and transportation service providers are responsible for carrying out. An innovative study has recently assessed the use of eLearning programs to develop expertise and train those handling temperature sensitive pharmaceuticals through the supply chain.
This dedication towards proactive planning should sharpen a firm’s reactive abilities. It’s important to move towards real-time decision making as a shipment moves through the supply chain as opposed to basing decisions on historical data. The most valuable piece of ROI from investing big data into the supply chain is the enhanced visibility which will facilitate targeted interception to adapt situations before hazards translate into damage. (5). Additionally, optimised visibility will allow supply chain costs to be streamlined, very important with with cost- efficiency being a prime consideration in the transport of generics and ambient products.
With a view to assist pharma firms with proactively improving their agility and reactions for accurate decision making in temperature controlled logistics, Pharma Logistics IQ examines a selection of scenarios and invites leading experts in the field to provide insight on possible best practise measures in the face of these circumstances.
Expert Panel Includes:
- Walter Mühlecker, Ph.D. Vice President, Head Global Supply Chain, Bachem AG,
- Patrick Pichler, Director, Head of Distribution Quality Biopharma | Quality
Scenarios considered include:
- Extreme Weather Conditions
- Packaging Failure
- Managing Culture Change
- Audit Preperations