Month: June 2020
It is interesting how often you see ads for some franchise offering that touts, “Become your own boss.” While that may not be all bad it is just the tip of the iceberg. The presentation below is intended to provide insight to people who may be considering starting their first company. This was from a one-hour presentation and glosses over a lot of things, such as the need for registrations and insurance, but for a first-timer, it could be helpful.
One of my first and most important lessons learned when I started my consulting company long ago was that paying attention to cash flow was far more important than focusing on my balance sheet. Once you understand a problem it becomes easy to alter what you do to manage it. For example, using fixed pricing based on tasks where we received 50% up-front and the remaining 50% upon acceptance of the deliverable smoothed out cash flow and that was a big help.
So, take a look and post any questions that you may have. If one person has a question it is likely that many more do as well! Cheers.
Recently, I was speaking with a person who is part of a team analyzing ways to, “mitigate the risk of exclusive manufacturing in China” while not fully divesting their business interests in a growing and potentially lucrative market. This bifurcation exercise got me thinking about how many other companies are evaluating their supply chain relationships, inventory management, and the predictability of their cost of goods sold.
In the mid-1990s I had done a lot of work with the MK manufacturing software that ran on the Ingres database. Some of the issues were performance-related and fixed by database tuning, some fixed by using average costs instead of a full Bill of Materials (BOM) explosion using dozens of screws in a window, but some were more interesting and also more business-focused.
After NAFTA became law one manufacturer built a facility in Mexico and started having a few basic but important parts manufactured there. When I arrived as a Consultant the main problem they faced was a reject rate of roughly 20% and additional related QA costs. My suggestion was to treat this part (say a single piece of steel like the rotor from a disk brake system) as a component and build-in the cost of both the scrap and the QA. They could then benchmark the costs against other suppliers in an apples-to-apples comparison to determine if they were really saving money. That approach ended up working well for them.
While that approach helped manage costs it did not address the timeliness of orders or lead time required – important aspects of Just-in-Time (JIT) manufacturing. Additionally, it should be possible to estimate shipping costs by taking into account changes in petroleum costs or anticipated changes in demand or capacity.
There are systems that are out there that claim to estimate the cost and availability of commodities based on a variety of global factors and leading indicators. It is tricky, to say the least, and can’t anticipate an event like a pandemic. But, companies that are able to manage their inventory and production risk the best will likely be the ones that succeed in the long run. They will become the most reliable suppliers and have increased profits to invest in the further growth and improvement of their businesses.
The next 2-3 years will be very interesting times due to advances in technology and geopolitical changes. Those companies that embrace change and focus on real transformation will likely emerge as the new leaders in their segments by 2025.
One of the many changes resulting from the COVID-19 pandemic has been a sea change in thoughts and goals around Supply Chain Management (SCM). Existing SCM systems were up-ended in mere months as it has become challenging to procure raw materials to components, manufacturing has shifted to meet new unanticipated needs, and logistics challenges have arisen out of health-related staffing issues, safe working distances, and limited shipping options and availability. In short, things are a mess!
Foundational business changes will require modern approaches to Change Management. Change is not easy – especially at scale, so having ongoing support from the top down and providing incentives to motivate the right behaviors, actions, and outcomes will especially critical to the success of those initiatives. And remember, “What gets measured gets managed,” so focusing on the aspects of business and change that really matter will become a greater focus.
Business Intelligence systems will be especially important for Descriptive Analysis. Machine Learning will likely begin to play a larger role as organizations seek a more comprehensive understanding of patterns and work towards accurate Predictive Analysis. And of course, Artificial Intelligence / Deep Learning / Neural Networks use should accelerate as the need for Prescriptive Analysis grows. Technology will provide many of the insights needed for business leaders to make the best decisions in the shortest amount of time that is both possible and prudent.
This is also the right time to consider upgrading to a modern business ecosystem that is collaborative, agile, and has the ability to quickly and cost-effectively expand and adapt to whatever comes next. Click on this link to see more of the benefits of this type of model.
Whether you like it or not, change is coming. So, why not take a proactive posture to help ensure that this change is good and meets the objectives your company or organization needs.
Changes like this are all-encompassing so it is helpful to begin with the mindset of, “Win together, Lose together.” In general, it helps to have all areas of an organization moving in lockstep towards a common goal but at a critical juncture like this that is no longer an option.