• Applied Logistics Integration
  • Strategic Business Management
  • Knowledge. Passion. Experience.

We are what we repeatedly do. Excellence, then, is not an act, but a habit.

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Applied Logistics Integration - ALI Consulting

About ALI

Applied Logistics Integration (ALI) Consulting is a premiere strategic business management firm with the knowledge, passion, and experience to execute lean six sigma, supply chain management, and financial analysis projects.

Knowledge

We deliver high quality, customized services to our clients in an affordable and timely manner. You can be certain that your project will be treated as a top priority, we will assess your individual needs and develop an analytical methodology to solve your specific project requirements, and that we will work hard to provide you with the best recommendations.

Passion

Applied Logistics Integration Consulting is extremely passionate about the services we provide. We continuously publish independent research, review the latest publications for advancements, participate in conferences and symposiums, and further our education to refine our skill sets so we can continue to offer better services to our clients.

Experience

We work across all spectrums, ranging from small business data analysis and management to redesigning multi-million dollar supply chains to developing and executing cost-benefit analyses and analysis of alternatives for multi-billion dollar programs. Whether your company is a start-up, or a well-established organization we have the skill sets to assist your specific needs.

ALI Services

Packaged services from ALI.

Applied Logistics Integration Consulting offers a wide variety of services that will be integrated in order to provide customers with the optimal product. Possessing expertise in multiple analytical fields provides us with the breadth and depth of knowledge needed to not only efficiently and effectively complete projects, but also highlight the second and third order effects that may result. Overall, we will provide a holistic viewpoint and understanding that allows our customers to make informed and educated decisions.

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Lean Six Sigma

Six Sigma is a quality improvement methodology focused on reducing product or service failure rates to a level of perfection. Structured, data driven approaches are used to eliminate the number of defects across all business areas, such as management, supply chain, design, manufacturing, and customer satisfaction. The overall goal is to produce better products and services more efficiently and effectively, while reducing costs.

Implement the DMAIC (Define-Measure-Analyze-Improve-Control) approach to keep projects organized, on time, and on point. The DMAIC process will assist in defining the problem and scope of the project and ensure that these objectives are accounted for throughout the study.

The concept of Lean centers on the continuous elimination of waste in processes, thereby increasing customer satisfaction while reducing the total costs required to produce the same goods or services.

Analysis and Control of Production Systems

Forecasting – the use of historical data to predict/project future values.

Qualitative Forecasting – When historical data is unavailable, subject matter experts provide opinions in an iterative process with the goal of converging to the “correct” forecasting values. Common qualitative forecasting methods include expert opinion, sales force polling, the Delphi Method, and customer surveys.

Quantitative Forecasting – The historical pattern of the data, i.e. random fluctuations, trends, shifts, and seasonality, is used to forecast future values. Common quantitative forecasting methods include simple linear regression, multiple linear regression, nonlinear regression, moving-average methods, simple exponential smoothing, Holt’s model (with trend), and Winter’s model (with trend and seasonality).

Inventory Theory – Scientific inventory management is used to assist companies to determine how much of a product should be ordered, or produced, and when the order should be placed so the total inventory costs are minimized. Common inventory models include the Economic Order Quantity (EOQ) model, the Economic Production Quantity (EPQ) model, Aggregation models, and Quantity discount models.

Aggregate Production Planning – Consists of efforts to plan a desired output over a longer range by adjusting the production rate, employment, inventory, and other controllable variables. Common pure strategies include varying workforce size to fulfill demand by employment only, to maintain a stable workforce but permit overtime, maintain a stable workforce but carry inventory, implement a backorder strategy, or implement a subcontracting strategy.

Material Requirements Planning (MRP) – Uses the Master Production Schedule (MPS) to create schedules that identify parts and subcomponents needed to produce an end product, the quantity of the parts and subcomponents needed, and the dates when the materials need to be ordered.

Just-In-Time (JIT) – A pull system with the goal of reducing the work-in-process to a minimum by only moving items when requested by a higher level in the production process.

Production Planning and Scheduling – Project management is a strategic component that involves planning, organizing, staffing, controlling, and monitoring a project in an efficient and effective manner, thus relating the project results to a business objective. Projects can be achieved optimally by using the Critical Path Method (CPM) and the Program Evaluation and Review Technique (PERT).

Job Sequencing and Operations Scheduling – Job sequencing focuses on determining the schedule for machine process jobs such that a specific measure of performance, e.g. time, is optimized. Assembly Line Balancing (ALB) analyzes assembly operations such that workstations are assigned in an order to achieve equal balance between stations and increase the overall efficiency and effectiveness of the assembly line.

Markov Chain Analysis – A descriptive technique that provides probabilistic information about a decision situation. Analyzes systems that exhibit probabilistic movement from one state, or condition, to another over time.

Queueing Theory – A descriptive modeling technique that describes a solution to allow for analysis of concepts such as the expected number of entities, e.g. people, in the queue and the expected waiting time of the entities in the queue.

Optimization

Linear Programming – An optimization problem for which the goal is to maximize, or minimize, a linear objective function with respect to a set of linear constraints. Linear programming is used throughout several industries typically with the primary goal of maximizing a profit function or minimizing a cost function. Common linear programming applications include work-scheduling, budgeting, financial planning, transportation, transshipment, and network models.

Integer Programming – A linear program for which some or all of the variables are required to be non-negative integers. Note that nonlinear integer programming is an optimization problem such that the objective function and/or the constraints are composed of nonlinear variables where some or all of the variables are required to be integers. Common integer programming applications include investment decision making, facility location, and machine scheduling problems.

Nonlinear Programming – An optimization problem where the objective function and/or constraints are not linear. Types of nonlinear programming include quadratic, convex, non-convex, geometric, and fractional programming.

Multiple Criteria Decision Making – An optimization problem for which several conflicting criteria are simultaneously optimized. An example of multiple criteria decision making is goal programming, which chooses one of the multiple criteria as the primary criterion and use it as the objective function to be optimized. The remaining criteria are assigned acceptable values and treated as constraints. The criteria are treated as targets with the goal of producing a solution as close as possible to the targets based on priorities.

Heuristic Techniques – When it is difficult, time consuming, or costly to solve an optimization problem, heuristic algorithms are used to find a “good” solution in a much more cost-effective manner. Heuristic algorithms are used in many applications, but one common area of application are network analysis models.

Data Analysis and Management

Data Collection – Develop comprehensive data collection plans to assure that unbiased and relevant data is collected to answer the questions being asked and stay within scope.

Data Analysis – Apply advanced statistical tools, such as hypothesis testing, statistical process control, process capability analysis, analysis of variance, regression analysis, root cause analysis, and design of experiment to appropriately draw conclusions about the available data.

Big Data Mining – Use advanced tools, such as pivot tables, to stratify and analyze large amount of data in an efficient and effective manner. Very useful in determining what data and information is available and what data may need to be collected in order to answer a question or finish a project.

Data Management – Develop user friendly tools that will allow for easy manipulation of data and allow for efficient and effective analysis. With a few clicks, easily run several courses of action to quantify key parameters, such as cost and performance.

Data Reports – Provide thorough reports discussing the project from start-to-finish, including the data collection and analysis processes, as well as all conclusions that resulted. Will also provide concise executive summaries for upper management personnel to highlight the main findings from the study.

Modeling and Simulation

Use techniques such as Monte Carlo simulations and stochastic simulations to analyze processes and run multiple scenarios to estimate the expected changes in performance parameters. Common examples include analyzing the utilization of resources, the average waiting time in queues for entities, and the total time in the system for entities. Creating a simulation will allow the user to vary parameters and view the expected changes, which will assist in the decision making process.

Supply Chain Management

Holistic Viewpoint – Applied Logistics Integration Consulting uses a holistic viewpoint to analyze supply chains. The advantage of this supply chain management technique is that it focuses on optimizing the overall supply chain rather than optimizing individual, functional areas. Thus creating a more efficient and effective supply chain that meets and exceeds customer expectations.

Transportations Problems – Use optimization and heuristic techniques to schedule the flow of goods from origin to destination nodes in a network model. A common example would be to minimize the total costs associated with transporting a good from the manufacturing facility through a transshipment site, e.g. a warehouse, and ultimately delivering the final product to the customer.

Develop Delivery Networks – Use advanced algorithms to efficiently and effectively use a transportation fleet to create a network that minimizes expenditures while meeting customer expectations.

Information Technology – Research and provide recommendations on how to improve supply chain visibility. This allows companies to have a better understanding on their unique supply chains and identify areas where improvements can be made.

Facility Layout and Location – Determine convenient locations that will allow for an efficient, effective, and responsive supply chain, as well as design facilities in such a way that it minimize the cost of materials handling and maximize the productivity of the organization.

Financial Analysis and Decision Making

Cost-Benefit Analysis – Evaluate several alternatives strengths and weaknesses with respect to business objectives. Use advanced techniques, such as quality function deployment (QFD), analytical hierarchy process (AHP), and the technique for order preference for similarity to ideal solution (TOPSIS), to integrate qualitative and quantitative data into the overall decision making and evaluation process.

Analysis of Alternatives – Evaluate several alternatives in terms of effectiveness with respect to process objectives. Thoroughly analyze the impacts that each course of action will have with respect to defined output performance parameters.

Economics – Analyze cash flows, life cycle cost estimates, and utility functions to determine the fiscal viability of investments and decisions.

Product Development

Market Research – Develop surveys and data collection plans to capture the wants and needs of customers when developing a product. It is critical to have a customer oriented point of view when developing the requirements for a new product and determining ways to meet the requirements so the end product is salable.

Product Design – Use statistical techniques to prioritize the wants and needs of the customer and translate their desires into affordable designs. Creating a linked chain from customer needs to the final product will help ensure that the end product will correlate with the market research.

David Mahalak

The Founder and Chief Executive Officer of Applied Logistics Integration Consulting

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Iron Triangle

Knowledge. Passion. Experience.

ALI Consulting

We are what we repeatedly do. Excellence, then, is not an act, but a habit.

Knowledge

We deliver high quality, customized services to our clients in an affordable and timely manner.

Iron Triangle - ALI Consulting

Passion

ALI is extremely passionate about every single service we provide.

Experience

Applied Logistics Integration has worked on projects across all spectrums.

Career Opportunites with ALI

Seeking employment with our organization?

Applied Logistics Integration (ALI) Consulting actively seeks individuals with the desire to continuously improve themselves. We strive to create a diverse organization which balances education, experience, and personal goals. If you are interested in joining our organization and there are no job postings available at this time, we encourage you to provide your resume so that it can be reviewed and we can contact you when a position opens.

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570 332 9394

ALI Consulting - 229 Machell Ave Dallas, PA 18612

contact@aliconsultingfirm.com