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One frontline employee came up with the idea of increasing the size of fuel tanks to lengthen the distance engines could go without refueling, which sharply reduced downtime during the peak harvest season. The rules helped employees avoid the paralysis that often strikes when people confront too many alternatives. That inventive, from-the-ground-up approach contrasted sharply with the way investment decisions had been made in the past. The Brazilian railway authority had issued detailed investment guidelines that left local employees with little scope to exercise their creativity or judgment.

That system was efficient, but the new management team decided that, at this moment in its history, the company needed adaptability more than efficiency. Strategies often falter in execution because of insufficient coordination across the organization. Misunderstandings are inevitable when business units, functions, or subsidiaries have differing worldviews. As a result, the rules functioned as an explicit agreement across units to guide decision making—like a treaty.

Account Options

Like a treaty, the simple rules provided an agreed-upon framework for evaluating specific proposals. To avoid any misunderstandings, the team members worked hard to increase the transparency of the rules they had agreed to, talking through their decisions with departmental colleagues who were not directly involved in capital budgeting. Transparency did not mean that everyone was happy with every decision, but it did reduce the odds that an undesired outcome would be attributed to incompetence or politics. Many people believe that complex problems require complex decision-making models.

To prioritize projects, for instance, the ALL team could have forecast future cash flows for every potential investment and ranked all proposals on the basis of their net present value. But like most complicated models, that approach would have had many disadvantages relative to simple rules. Adding more variables leads decision makers to give too much weight to peripheral considerations.

In addition, the opacity of black box models prevents users from testing them against their experience, judgment, or common sense. And of course, complex models demand huge volumes of data, are susceptible to computational errors, and hinge on assumptions about unknowable variables such as disruptive technologies that, if wrong, can throw off the results. The first step is to single out a place in the organization where opportunities or investments exceed resources and, as a result, keep the organization from achieving its major objectives.

This bottleneck can be described as a process, like capital budgeting at ALL. Sometimes the bottleneck is a substep in a broader process. For example, one company we worked with started by focusing on customer acquisition but quickly homed in on the preliminary analysis of proposals. Managers understand conceptually that bottlenecks are places where opportunities or investments exceed resources, but they struggle to identify them in practice. Here are some examples that may inspire your own thinking. Customers loved a feature that allowed them to copy trades made by successful traders.

The company wanted to grow that business—but needed more star investors to use its services. A note of warning here: The bottleneck needs to be a relatively narrow, well-defined process or process step, not a broad aspiration. Vague goals like improving quality are achieved slowly, through thousands of decisions and activities spread across the organization. Most organizations face multiple bottlenecks, of course; nobody has enough talent, cash, managerial attention, or capacity for cross-functional coordination.

Managers should not develop simple rules to address every constraint. Instead, they should focus on one or two critical areas where rules will have the greatest impact. It can take some digging to identify the most important bottleneck. The founders eventually realized that the scarcest resource they faced was great ideas—and that the likelihood of developing a great idea increased when more time was spent brainstorming on the front end. They concluded that brainstorming was a strategic bottleneck.

Baseball Rules In Black and White: "Difficult High School Baseball Rules Made Easy"

Before developing simple rules, we ask managers to write down what they think the rules will be. They are almost always wrong. Shoot-from-the-hip rules typically overweigh recent experience, reflect personal biases, and ignore anomalous data. The best rules, in contrast, draw on a thoughtful analysis of historical experience. In many cases a company will have a small number of strategic events—such as acquisitions, partnerships, or new product launches—to analyze. Though no one can conduct a statistical analysis with a small sample size, a careful comparison of cases often produces valuable insights.

Rules for Developing Simple Rules

The analysis revealed that the best deals had occurred in emerging-market countries that other steel producers had ignored. Mittal also discovered that plants using iron pellets and electric arc furnaces could achieve low production costs despite volatile raw material prices—an observation that was translated into a rule to select minimills using iron pellets.

A team can learn from cases beyond its own direct experience as well. One private equity firm raised a fund to invest in early-stage independent power plants in Africa, where the partners had limited experience.


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To develop rules for selecting opportunities, the team chose nine deals—three successful, three average, and three unsuccessful—comparable with its target transactions. It gathered public data and conducted more than interviews to assess what factors influenced returns.

The analysis yielded unexpected insights. The team had initially believed that partnering with multinational energy companies increased the odds of success but found the exact opposite to be true. The team codified those insights into rules and tested them against a second set of past energy projects to determine if they would have picked winners. Big mistake.

Baseball Batting Terms

These are bad assumptions. The people who will apply the rules are best able to craft them. They also can test the rules in real time to evaluate whether they are too vague, limiting, or cumbersome. Letting users develop the rules can help a cross-functional team sort through tough decisions. Consider Skrill, a London-based provider of online payment services. To expand beyond its stronghold in online-gaming customers, Skrill decided to woo business from digital service providers like Skype and Facebook. Skrill was faced with hundreds of ideas for payment options it could develop for such customers.

The CEO and the COO convened a cross-functional team including representatives from the operations, legal, and marketing departments. Before the kickoff meeting, each team member articulated the rules that his or her function would use to evaluate alternatives. Though senior executives should not dictate the rules, they do have an important role to play. On the flip side, the lack of top executive commitment is the best predictor that simple rules will fail. Regardless of the rationale, lukewarm support let alone outright hostility from the sponsoring manager dooms simple rules to failure.

Concrete rules sometimes translate into simple yes-or-no criteria. At other times rules identify a question to discuss. Another rule for screening potential orders at Weima Maschinenbau was that the hidden costs of installing and servicing a machine had to be limited. This rule allowed dealers and the sales force to tap their knowledge of which installations would cause headaches down the line. Similarly, avoid rules that appear to be simple but actually require massive amounts of analysis like insisting that a project have a positive net present value.

Simple rules should change with the company and the market and as managers gain a richer understanding of what their strategy means in practice. Managers can foster that evolution in a few ways. Its wing span is nine to eleven inches.

Deadball Era - BR Bullpen

A proper wood bat will reach mid-hip height. Aluminum bats also known as alloy bats arrived into the youth community as a more efficient option over wood bats roughly forty years ago. Leatherstocking Hand-Split Billet Co.

Softball comes in two varieties, slow-pitch and fast-pitch. It all began when our grandfather was watching our father who was 12 years old at the time and a friend play a game in their backyard in Fairfield Connecticut, using a perforated plastic golf ball and a broomstick handle.

Youth bats generally come in lengths ranging from 25"" for younger players , through 28"" for most year old hitters. Review product packaging to ensure correct purchase. They are cool and really fun to hit. Other heavy bats put all the weight at the end of the bat which causes a player to break down his mechanics and causes him to cast the bat around the hitting. It contains a series of line commands that typically might be entered at the DOS command prompt.

The length of the bat may be no more than 38 inches mm and the width no more than 4. This means that even if your wood bat is a minus 3 length to weight ratio it will feel heavier than an aluminum bat that is also a minus 3. From the batting cage to the on-deck circle, our training system gives diamond sports players a safe, smart and scientifically sound way to create their perfect swing. This model is arguably the most well balanced and most durable bat we produce. For this reason most players choosing a wood bat will need to select a model that is balanced.

The second is weight, measured in ounces.


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  7. Moreover, the slow pitch bat is of ash wood which is the best lumber wood. It is interesting when a player stipulates that they must have an exact bat weight - if a 2lb 9oz and a 2lb 10oz bat weight were placed in front of the player, it is unlikely that they would be able to tell the difference.