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Quantigate Advisors Operations Strategy and Supply Chain Management Business Advisory Services. Major Headlines. Our mission and vision Our people Experience and background Demographics and profile Key attributes Our expertise Projects Training and seminars Our qualifications
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The foundation of Quantigate Advisors has been built based on an uncompromising commitment to the success of our clients. This commitment and our mission is consistently communicated and practiced at all levels within Quantigate Advisors.
Quite simply: we want to help our clients. Our success is measured by the results of our projects, and ultimately by the success of our clients. We feel so strongly about our mission that we offer all our clients the option to enter performance-based fee arrangements, where no fees are paid unless certain objectives are met within a pre-determined date.
Our ultimate vision is to be recognized and respected as the premier consulting company specializing in operation strategy and supply chain management.
As a management consulting firm, we help our clients develop and implement operation strategy and streamline supply chains. Our advisors bring industry and consulting experiences that create real, measurable and sustainable value.
To demonstrate our unyielding commitment to the success of our clients, we encourage our clients to enter performance-based fee arrangements, where payments are linked to clearly set objectives.
What we do can be broken down into two broad categories: projects and training/seminars.
Our former clients and employers include: Westinghouse, Ford, Boeing, GE, Kennametal, Honeywell, Philips, K Line America, KPMG and AT Kearney. We have helped these companies in their efforts to reduce cycle time, reduce inventory, reduce transportation costs, reduce material costs, increase throughput and ultimately improve their bottom line. In addition to our deep knowledge and supply chain management experience, we have numerous white papers and a patent currently under review.
Articles and publications
The following is a sample of topics and short descriptions of white papers available within our library. Any organization interested in learning more should send an email to: email@example.com with “Articles and publications” as the subject line.
Derivations of APICS’ EOQ (Economic Order Quantity) Formula
The widely used APICS formula for economic order quantity is discussed in greatly detail and comments are made on the embedded assumptions and the consequent possible short falls. To effectively and properly use the EOQ formula, how it was derived must first be fully understood. It is very easy to get lured into blindly plugging in numbers and making imprudent decisions based on the outcome. In this article, the EOQ formula is derived so the reader is fully aware how the formula came about. The assumptions made and the inherent short falls are also fully explained. Several pragmatic remedies are suggested as well as other comments to help modify the formula to provide truly meaningful output.
Use of Statistics in Supply Chain Management: Demand Pattern Recognition
Even with the most sophisticated off the shelf supply chain packages, timing of the demands is often ignored or not fully accounted for. As a hypothetical example, consider the following two sets of 12 monthly demands:
Scenario 1: 120, 110, 100, 90, 80, 70, 60, 50, 40, 30, 20, 10
Scenario 2: 10, 20, 30, 40, 50, 60, 70, 80, 90, 100, 110, 120
Although the arithmetic average (65) and the standard deviation (36) are the same for both scenarios, these two demands behave very differently and should not be treated the same way. However, simply plugging numbers into the classic APICS inventory level calculation yields 124 as the proper level of inventory (assuming 95% customer service level and one month lead time). If the output from standard APICS calculation is blindly implemented, scenario 2 will soon result in shortage (which in turn results in unhappy customers and manufacturing expedite requests) and scenario 1 will inevitably result in excess inventory (and possibly obsolescence). In this white paper, we offer an alternative to the classic calculation, which can be inadequate at times. In addition, a technique for detecting certain patterns is also presented.
Other topics currently in progress
Fallacy of Commonly Used Performance Metrics
In this article, we offer the right set of metrics that will drive the desired/right behavior in your organization.
Appropriateness of Normal Distribution Assumption
The circumstances where normal distribution assumption is / is not appropriate are discussed as well as the impact on real life applications.
Transportation and distribution are often overlooked areas. They frequently represent major and relatively rapid opportunities a client can employ to reduce overall costs, improve customer service and gain competitive advantage. A transportation model has been developed to minimize an organization’s transportation cost. Based on a destination zip code and the weight to be shipped, the model selects the best mode and the right box sizes. This model is currently going through a patent protection process. Any organization interested in a demonstration of this model should send an email to: firstname.lastname@example.org with “Transportation Optimizer” as the subject line.
Interested in finding out more about our services?
Thank you for taking your time to explore our world of Quantigate Advisors.
If you want to hear more about our services and how Quantigate can make a difference, please contact us:
1505 N. Maplewood , Suite 2
Chicago, IL 60622
Phone: (908) 803-0158
Want more about a career with Quantigate?
If you want to make a positive difference by becoming a Quantigate Advisor, and feel that you meet our requirements, you are encouraged to apply. For further inquiries and resumes, send an email or regular mail to the address listed above.: