Network design analysis and decisions are often taken in isolation, overlooking the impact of competition’s potential reaction to the renewed strategy. These inward-looking approaches could end up to be extremely costly! This case study examines the need to factor the reactions of key competitors into your supply chain network design decisions. Through an inclusive approach …
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Case Studies
In this case study, Profit Point’s client wanted to find a more automated and better way to create and maintain the production schedule across several batch reactors and schedulers. As a result, we engaged with the customer to design a production scheduling tool using Aspen Tech’s Aspen Plant SchedulerTM.
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Profit Point has helped large and small companies to squeeze more profit from their planning, tactical and operational processes with consulting services and technology tools customized from our suite of existing applications.
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Profit Point has helped large and small companies to squeeze more profit from their planning, tactical and operational processes with consulting services and technology tools customized from our suite of existing applications.
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New management wanted a ten-year plan to optimize the manufacturing and distribution footprint to reduce costs. Profit Point engaged with the client to determine the best way to operate the current network in light of some recent manufacturing improvements, and to develop recommendations for a future network that would maintain customer service levels while reducing future costs.
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In this case study, our client wanted to optimize the supply chain from the purchase of raw milk from the farms through to the delivery of finished goods to its retail customers. We engaged with the customer in a two-phased project to first optimize the raw milk procurement/manufacturing footprint and then to determine the optimal national distribution network for the future.
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In this case study, Profit Point engaged with the customer to design a tool using Aspen Tech’s Supply Chain ManagementTM suite. The tool uses the built in optimization engine to find the best solution and is also highly flexible in allowing the user to specify certain specific constraint values that must be adhered to.
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A company I recently visited relies entirely on only one supplier for a major component for their product. This is an obvious supply chain risk, and the company requires huge stocks of this component (which comes in several sizes and colors) to mitigate their risk. However, what about the less obvious risks that lurk in …
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Logitech is a world leader in personal peripherals, driving innovation in PC navigation, Internet communications, digital music, home-entertainment control, gaming and wireless devices. With a history of fast-growing distribution channels and a product line that is frequently being updated, Logitech’s key supply chain challenges are similar to those of many other consumer electronics heavyweights. Its …
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Leveraging Profit Point’s supply chain optimization methodologies, Toyota North American Part Center California improves efficiency and quality of their workload planning sequencing process to receive containers from Japan. North Brookfield, MA (PRWEB) October 6, 2008 Profit Point today announced that Toyota Motor Sales (TMS), U.S.A., Inc.’s North American Part Center California (NAPCC) has improved its …
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Dr. Alan Kosansky, Profit Point’s President, and Ted Schaefer, the company’s Infrastructure Planning Practice Leader, are featured in this month’s issue of Materials Handling & Logisitcs Magazine. The article, titled Reconnecting With Your Network, reviews the assumptions that motivated the recent shift towards offshoring and the global market changes that have occurred since. The rush …
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Business Problem: Dole Food Company, Inc. is a producer and marketer of high-quality fresh fruit, fresh vegetables and fresh-cut flowers, and markets several lines of packaged foods. Dole globally purchases containerboard from several paper companies to manufacture containers to transport and inventory their products. Dole uses an MS Excel spreadsheet to optimize the variables and …
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