Category Archives: Vendor Review

MCA Solutions – Bringing the Aftermarket Forward, Part II

In Part I, we re-introduced you to MCA Solutions, a Philadelphia, PA company that specializes in after market service (and service parts) optimization, and noted that they were still going strong despite some recent shake-ups in the market (and the noteable acquisition of Servigistics and Click Commerce by Marlin Equity Partners, who also acquired Emptoris not too long ago). We noted that, in addition to completing a strong SAP integration, they’ve also added a considerable amount of new functionality in the last two years around reporting, plan analysis, and reporting management.

Since we covered their new reporting and plan analysis solution in the last part, today we’re going to cover their performance management solution. Since you can’t manage what you can’t measure, and the best way to measure is often with a balanced scorecard, it’s based on scorecards, but since managers don’t like columns of numbers, it’s implemented using a dashboard, but since MCA agrees with me that traditional dashboards are inherently dangerous and dysfunctional, they realized that the only way the application would be truly useful was if it clearly identified not what was right, but what was wrong (since a goal of after-market service is exception-based management so that you only expend resources where needed). More importantly, the scorecard dashboard would only be useful if it allowed you to quickly discern what was wrong and do something about it. So what MCA built is a dashboard scorecard that not only highlights any metric that is out of bounds in red, but an interactive graphical scorecard that allows you to drill down into the metric retrieve all of the data associated with that metric in a single click.

Just like you can drill into a spend cube, you can drill into any metric on the scorecard. The first level drill will bring up all of the metrics the high level dashboard is composed of, and highlight which metrics are a problem. You can then drill into those metrics and bring up all of the associated raw data. So, if you brought up the scorecard and saw on-time delivery was only 80%, when anything under 90% is unacceptable, you could drill in and see the problem ports are LA and New Orleans and that San Diego, Washington, Vancouver, Boston, and Halifax were all meeting or exceeding their on-time delivery targets. You could drill in again and see that at these ports, most of the late deliveries were from West Coast Warblers and East Cost Easies and instantly know that either these suppliers have performance problems or that you’re not allowing them enough time in your inventory network design to transport the parts require to replenish your North American stock from your foreign suppliers. But since you can also drill into the application and the underlying model associated with any part, location, or supplier you can quickly determine if it’s a performance problem or a network design flaw. For instance, lets say you only allow 14 days for replenishment of goods in your LA warehouses from Shenzhen. Considering that sailing time is typically 12-15 days, and that it probably takes at least a day to get your goods unloaded at the port, and another for them to clear customs, get loaded onto the truck, and transported to your warehouse, there’s no way you’re going to get that part in less than 14 days by sea and it’s probably going to take at least 17 days on average, especially if these carriers are running slower ships. Then you know you need to adjust your model, and measure the supplier against a more reasonable delivery time. But if you are allowing 21 days, and your third party carrier is consistently late, then you have a supplier performance problem.

Moreover, the scorecard dashboard is completely customizeable. Each component is actually a dashboard report, and with their new flexible reporting capability, you can build any report you want. So you can design the dashboard to focus only on reporting problems. That way you can ignore the 90% of your network that is running smoothly and dive right into the 10% that isn’t running right, analyze the situation, revise the model, analyze the revision, implement an improvement, and see if the situation improves over time. If not, you can dive right in and try again. And if everything looks too good, you can define more metrics, more sanity checks, and find new problems to work on. Which is precisely what an actionable scorecard should allow you to do!

And your suppliers in China and Japan can use it too. The product is double-byte Unicode compliant and, in addition to a number of European languages, has also been translated into Mandarin and Japanese. With these recent improvements, you should be able to plug it right into your follow-the-sun operation and, once it’s configured and your data is complete, close the loop on your end-to-end after market service (parts) operation.

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MCA Solutions – Bringing the Aftermarket Forward, Part I

MCA Solutions, a Philadelphia, PA company that specializes in after market service (and service parts) optimization, is still going strong despite the recent struggles of a few of its direct competitors (namely Click Commerce and Servigistics who were recently acquired by Marlin Equity Partners). If anything, the recession (although it did considerably lengthen the sales cycle) only bolstered the need for after market service (as no one could afford new equipment) and optimization thereof (as everyone is strapped for cash and every penny counts).

As I indicated in my first post on MCA Solutions and their strategic service parts management platform, many large manufacturing, semiconductor, high-tech, aerospace, defense, and oil & gas companies often have tens of millions, if not hundreds of millions, of dollars tied up in inventory in their attempts to meet specified service levels, and every dollar in inventory costs them money in overhead. Since many of these companies typically have 10% to 20% more inventory than they need, they’re tying up tens of millions of dollars in working capital needlessly as well as throwing away millions of dollars in inventory holding costs — a situation which is easily remedied by a service level optimization platform that can optimize your multi-echelon parts inventory storage network such that your contracted service levels are met but your costs are minimized. Furthermore, as per the value of after market service in a down economy, done right, this optimization will also improve cash flow by roughly 10%, reduce inventory by 15% to 50%, and even improve service levels by 5% to 20%.

Since the last time I covered MCA in depth, which was almost two years ago, they’ve made a number of significant enhancements to their platform, the most notable being flex reporting, performance management, and plan analysis. Of these, flex reporting and plan analysis excite me the most, because the former lets you construct any report you can imagine (if you’re willing to write some SQL*) and the latter lets you build, optimize, and compare as many what-if scenarios as you want, which is the (one of the) most powerful feature(s) of any good optimization platform.

Their plan analysis tool not only allows you to define your service parts strategy (fill rates, inventory/investment caps, number of echelons to consider simultaneously in stock planning, etc.) and run an analysis on that strategy (to determine total cost and inventory distribution), and not only allows you to compare one strategy against another (how much do I save by sacrificing 1% of fill rate? how does inventory distribution change? etc.), but also allows you to define a rules-based sanity check that can be run against every model and the resulting inventory solution. For example, if the inventory levels change by more than 20%, the overall investment changes by more than 10%, shortages or excesses at any location exceed pre-defined maximums, etc., the product will immediately warn you that the new model might not be an acceptable replacement over the current one. Also, each of these rules can be defined by location, SKU (or family), or segment (or lane), which gives you a lot of flexibility in your analysis and sanity checks. (Other checks can include replacement rate, forecasting model [parameters], export mode, horizon, manual overrides, time factors, intermittence, thresholds, and other relevant measures tracked and/or computed by the platform.) Furthermore, they’ve also added the ability to generate plans by Average Customer Wait Times, which is becoming important in aerospace and defense, oil and gas, and other sectors where you have equipment that can’t be unavailable for more than a very short amount of time and service (availability) levels aren’t good enough.

While we’re talking analysis, they’ve also added a new multi-period budget report which is a system generated report that is very useful as it not only calculates total forecast, condemnation forecast, repair forecast, overall metrics, TSL, average inventory position, scheduled demand, new buy, and cost across your entire operation to anywhere between 12 and 36 months in the future, but does so using a successive series of automated optimizations where the output of one period is used as the input to the next. It will take anywhere from a few minutes to a few hours to run, but it clearly allows you to see the long term effects of any change to your aftermarket service (parts) strategy.

In the next post, we’ll talk about their new performance management solution.

* Yes, I’ll admit that I’m not your average user but I have to applaud them for acknowledging their expertise is not in the creation of report builders, that no set of canned reports, no matter how extensive, will please everyone, and that the right thing to do is expose the schema and let power users do what they want — which isn’t dangerous when you also give them the ability to make as many copies (partial or full) of the database as they want and to mess around with the copies, and not the production data.

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Algorhythm: Still Pounding Out the Optimization Rhythm on the Tabla (Part II)

In Part I, we re-introduced you to Algorhythm, purveyors of a supply chain optimization rhythm solution platform out of Pune. In the day before yesterday’s post, we discussed their new Inventory Planning Module, inventrhythm, and indicated how it allows you to take your entire distribution network design into account, which is necessary if you truly want to minimize your inventory costs. Then we told you that if you were truly serious about getting the most bang for you inventory dollar, you had to go beyond inventory and also consider your underlying distribution network design, as it ultimately dictates how much your inventory is going to cost you. Just like a bad product design will lock in expensive commodity and engineering costs before it is sourced, a bad network design will mandate higher safety stocks and sub-optimal transportation methods, which will in turn lead to higher carrying and transportation costs. Thus, to truly optimize your inventory, you also have to simultaneously optimize your distribution network to the extent that you are able to do so.

With Algorhythm’s new Strategic Distribution Network Optimizer, which seamlessly integrates their netrhythm supply chain network design module with their new inventrhythm multi-echelon inventory optimization solution, you can simultaneously optimize your facility location, transportation methods, and inventory levels to achieve your end-customer service levels while minimizing your overall inventory-related supply chain costs.

Algorhythm’s netrhythm solution allows you to define the warehouses that are available to you at each level of your network (and to define the warehouses that must be used, or must not be used, in the solution) in addition to source factors and end customer locations; the transportation methods available; the transportation providers available (as well as any that must be used, or must be used, and minimum or maximum business levels); fixed, minimum and/or maximum lot sizes; available lanes, forecasted demand; target inventory levels; and network constraints (with respect to linkages, warehouses, product mix, mode, etc.) and produces a lowest cost distribution network design subject to your constraints that will achieve your target service levels at each location. In other words, it’s a very powerful network design model that lets you take all of the relevant components in your physical network.

But the integrated solution is even more powerful. In addition to the many layers of your distribution network, transportation modes, and logistics providers, you can specify detailed service targets by location, SKU, and period. You don’t have to use average demand levels — you can take into account your detailed forecasts by month, week, and even day. You can model all of your inventory related costs at different demand levels; segment inventory by SKU subgroup, group, and category; and analyze by cluster and channel. You can look at your various cycle times, load factors, and flow options and do so with respect to all of your network and inventory constraints (such as capacity and existing agreements) and cost components (fixed and variable). For example, you can take into account fixed truckload and variable less than truckload rates from a third party and compare that with fixed and variable costs of operating your own fleet (lease, maintenance, etc.). And when you’re done, you get the network design that minimizes your inventory levels and associated costs while ensuring that your service levels are met. The reports detail what inventory levels are needed where, when, and the replenishment cycles as well as what providers move the product, when, using what modes, and at what load factor. It’s a complete supply chain plan. Furthermore, it’s easy to work with because all the reports can be output to Excel — which allows you to drill and pivot to your heart’s content until you see the data in a form that’s most convenient for you to internalize. (And while spreadsheets are not supply chain solutions — especially where optimization and analysis is concerned, they are good for report manipulation, and everyone is already comfortable with them.)

And the results are beyond what you would get with either tool on its own because not only does your distribution network dictate your inventory costs, but changes in inventory requirements over time will dictate your network costs. (If a warehouse becomes unnecessary because customer locations move and new lanes open up, that’s a considerable fixed cost that is unnecessary.) It’s a viscous cycle, and unless you look at both in unison on a regular basis, you’re missing cost reduction opportunities. Consider the case study of a major (FM)CG company in India that typically maintained about 115 tonnes of inventory in its network in an attempt to meet service levels. Not only did every tonne of inventory, depending on the SKUs in question, represent anywhere between roughly ten thousand and a few million dollars of working capital tied up in inventory, but every tonne represented additional inventory costs that chipped away at margin and profit. When Algorhythm applied their basic SKU inventory model, they were able to present the CG company with a solution that trimmed 25 tonnes of inventory out of the system without affecting service levels. (In fact, the average service level was increased!) When they moved to a multi-echelon inventory model, which balanced inventory not just at each level, but across levels (and allowed inter-level shipments as well), they were able to trim an additional 26 tonnes of inventory. But when they applied the full Strategic Distribution Network Optimization model, they were able to shave an additional 5 million tonnes. In the end, they more than halved the required amount of inventory to meet the service levels, and halved the network related costs. That’s a very considerable chunk of change that went straight to the bottom line!

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Stay Hip with the Program with Hiperos

Last year, I told you how you could Get Hip with Hiperos, an “Extended Enterprise Management” platform that allows you to manage your risk, performance, compliance, sustainability, and supplier information through a single portal that they dubbed R3. Knowing that you can’t stay still in the quickly evolving supply chain space (and knowing that there were lots of point players with deeper solutions in each), they’ve been hard at work on R4 since that time. Last week, I had the chance to do a detailed review of R4, and am pleased to say that they did a great job and that a number of significant improvements in R4 greatly increases the value the solution offers.

In particular, five improvements in the Hiperos R4 platform commanded my attention:

  • In-Line Collaboration
    It’s a pretty simple idea, but the fact that you can associate a discussion thread with any element of the system is quite powerful. No longer do you have to search separate discussion forums or, even worse, try to track down out-of-system e-mails to find out what happened, or why part of a questionnaire is still blank, or why a template was modified.
  • New Workgroup Capability
    Hiperos recognized that true performance, compliance, and sustainability is collaborative, that single-directional Q&A is not collaboration, and built in a new discussion-based workgroup capability that lets buyers, suppliers, and other involved parties collaborate through a centralized, integrated environment.
  • The Program
    Since compliance, risk management, sustainability, and performance all revolve around programs designed to satisfy a regulatory initiative, emerging threat, or a green goal in the real world, in the Hiperos platform, it’s now abundantly clear that everything revolves around the program, which is very easy to define and manage. There are three ways to create a new program. Instantiate it from a template, load it from a properly structured Excel file, or define it from scratch in the tool — which will walk you through its creation step by step in a simple 7-step process. (Outline Detail, Organizational Units, Questions & Documenation Requirements, Dates, Individual Organizational Unit Reqirements, Measurements, and Reviewers.)
  • Out-of-the-Box Compliance Programs
    They have over 60 compliance templates built in, with heavy support for the finance (BITS, etc.) and health-care sectors (HIPAA, etc.).
  • Supplier Focus
    The supplier portal is almost as extensive as the buyer portal. Suppliers get their own set of dashboards, which they can do deep reporting dives into to find out where the measurements came from and how they were calculated, relationships, which they can manage, programs, which they can track, and communities. Truly enabling the supplier on your platform goes a long way towards supplier adoption. The only functionality suppliers don’t get is Supplier Information Management (SIM) and Application Administration (unless, of course, they buy the platform themselves).

The system also includes a number of other improvements, particular in the area of SIM (where you can capture a lot more information in out-of-the-box templates and define your own data elements to be tracked), reporting (where, in addition to dozens of reports in each area that you can use out of the box, you can also create your own reports using an improved wizard that walks you though a simple 6-step report definition process), and built-in KPI and SLA templates available for your use (there are over 6,000 that can be accessed system wide). Furthermore, the dashboards are more than just pretty gages, they also contain a quick summary of your action items (open evaluations, pending approvals, etc.); the relationships you are responsible for; and current risk assessments, in-process supplier profiles and compliance controls. And while other providers might still go deeper in specific areas (though none go deeper in all areas), the breath of integrated capabilities put them in a fairly exclusive club as I have only seen applications displaying a similar breadth and focus in enterprise management from Aravo, CVM Solutions, Rollstream, and, in the healthcare and agency management verticals, Vendormate and Decideware.

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Algorhythm: Still Pounding Out the Optimization Rhythm on the Tabla (Part I)

Since I last covered Algorhythm and their supply chain optimization rhythm, they’ve been pounding out a steady beat and extending the breadth and power of their unique supply chain optimization platform. Not only do they have extensive optimization capabilities in production planning, network planning, and logistics planning — with specialized solutions for oil, steel, and packaging, but they now have a best of breed multi-echelon inventory optimization capabilities and a best of breed distribution network design optimization platform that can take multi-echelon inventory requirements into account and allow you to optimize your distribution network around your detailed inventory requirements, which can be specified at daily demand levels if you desire. This is a very powerful capability that sets their platform apart from the other solutions on the market, as most of the other supply chain optimization platforms focus on inventory, or network design, but not both simultaneously.

To understand just how powerful their new solution is, we have to start by discussing how hard it is just to optimize inventory. There’s a lot more to inventory than just the carrying cost that is recorded on the books. There’s the cost of replenishment, the cost of a stock-out, and the cost of missed service levels, for starters. If your planning is poor and you’re always having to rush inventory, or if you’re not maximizing truckload volume, you’re spending a lot more on inventory replenishment than you should be. If a stock-out results in lost sales, that’s missed revenue opportunities which go straight to the bottom line. And if you keep missing your service level targets, your customers might just find a new source of supply at contract renewal time. (And on the flip side, if you are constantly carrying too much inventory to make sure you don’t miss service levels, your carrying costs will go through the roof.)

To optimize inventory, you have to take into account the many layers of your distribution network: factories, (first tier) national warehouses, (second tier) regional / provincial warehouses, and (third tier) local warehouses; storage space at each location; valid flows from one tier to another, as well as valid flows between nearby warehouses at the same tier; transportation options available; stores or end-use facilities that require the SKUs; the individual SKU demand patterns (and [expected] forecast accuracies); lead times (and variabilities); service levels; and costs associated with storage, transportation, and stock-outs at various inventory levels. (Transportation costs in particular will vary.)

This is because you don’t need the same service level at every node in the network to achieve that service level at an end customer location, especially if a customer location can be serviced by multiple distribution centres. For example, if an end customer location can be serviced by three different distribution centres, you can achieve a 98% service level (defined in terms of SKU availability) as long as each individual distribution centre has a 75% service level (as the chance of all three distribution centres being simultaneously out of stock and unable to service the customer location is 0.25 * 0.25 * 0.25 or 1.5625%). Furthermore, as the lead time from each DC to each customer location will vary depending upon distance, transportation options, and local routes, and so on, the inventory levels at each DC can vary and still allow you to meet your target service levels, which can in fact vary by location (as you’ll want a higher service level at a high-profit location than you will at a low-profit location as service levels drive inventory which drive costs). In fact, the deeper you dive into inventory, the more complex the cost equation becomes and you see that you really do need to take into account all of the elements supported in the Algorhythm Xtra Sensory Inventory Optimizer, inventrhythm, if you truly want to optimize your inventory costs.

But this is just the beginning. Since your distribution network design will ultimately dictate your inventory costs, to truly optimize your inventory costs, you have to simultaneously optimize your network (to the extent that you are able). Algorhythm’s platform can do this, and we’ll discuss what’s involved in Part II.

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