Minimax is a decision rule used in artificial intelligence, decision theory, game theory, statistics, and philosophy for minimizing the possible loss for a worst case scenario. When dealing with gains, it is referred to as "maximin" – to maximize the minimum gain. Originally formulated for several-player zero-sum game theory, covering both the cases where players take alternate moves and those where they make simultaneous moves, it has also been extended to more complex games and to general decision-making in the presence of uncertainty.
Mathematical optimization or mathematical programming is the selection of a best element, with regard to some criteria, from some set of available alternatives. It is generally divided into two subfields: discrete optimization and continuous optimization. Optimization problems arise in all quantitative disciplines from computer science and engineering to operations research and economics, and the development of solution methods has been of interest in mathematics for centuries.
A system on a chip or system-on-chip is an integrated circuit that integrates most or all components of a computer or other electronic system. These components almost always include on-chip central processing unit (CPU), memory interfaces, input/output devices and interfaces, and secondary storage interfaces, often alongside other components such as radio modems and a graphics processing unit (GPU) – all on a single substrate or microchip. SoCs may contain digital and also analog, mixed-signal and often radio frequency signal processing functions.
X-inefficiency is a concept used in economics to describe instances where firms go through internal inefficiency resulting in higher production costs than required for a given output. This inefficiency is a result of various factors such as outdated technology, inefficient production processes, poor management and lack of competition resulting in lower profits and higher prices for consumers. The concept of X-inefficiency was introduced by Harvey Leibenstein.
An isoquant, in microeconomics, is a contour line drawn through the set of points at which the same quantity of output is produced while changing the quantities of two or more inputs. The x and y axis on an isoquant represent two relevant inputs, which are usually a factor of production such as labour, capital, land, or organisation. An isoquant may also be known as an “Iso-Product Curve”, or an “Equal Product Curve”.
Nutrient management is the science and practice directed to link soil, crop, weather, and hydrologic factors with cultural, irrigation, and soil and water conservation practices to achieve optimal nutrient use efficiency, crop yields, crop quality, and economic returns, while reducing off-site transport of nutrients (fertilizer) that may impact the environment. It involves matching a specific field soil, climate, and crop management conditions to rate, source, timing, and place of nutrient application.
Working capital (WC) is a financial metric which represents operating liquidity available to a business, organisation, or other entity, including governmental entities. Along with fixed assets such as plant and equipment, working capital is considered a part of operating capital. Gross working capital is equal to current assets. Working capital is calculated as current assets minus current liabilities. If current assets are less than current liabilities, an entity has a working capital deficiency, also called a working capital deficit and negative working capital.
A business analyst (BA) is a person who processes, interprets and documents business processes, products, services and software through analysis of data.The role of a business analyst is to ensure business efficiency increases through their knowledge of both IT and business function.
Dodge v. Ford Motor Co., 204 Mich 459; 170 NW 668 (1919), is a case in which the Michigan Supreme Court held that Henry Ford had to operate the Ford Motor Company in the interests of its shareholders, rather than in a manner for the benefit of his employees or customers. It is often taught as affirming the principle of "shareholder primacy" in corporate America, although that teaching has received some criticism. At the same time, the case affirmed the business judgment rule, leaving Ford an extremely wide latitude about how to run the company.
A command center is any place that is used to provide centralized command for some purpose.
Scheduling is the process of arranging, controlling and optimizing work and workloads in a production process or manufacturing process. Scheduling is used to allocate plant and machinery resources, plan human resources, plan production processes and purchase materials.
Single-machine scheduling or single-resource scheduling is an optimization problem in computer science and operations research. We are given n jobs J1, J2, ..., Jn of varying processing times, which need to be scheduled on a single machine, in a way that optimizes a certain objective, such as the throughput.
A workcell is an arrangement of resources in a manufacturing environment to improve the quality, speed and cost of the process. Workcells are designed to improve these by improving process flow and eliminating waste. They are based on the principles of Lean Manufacturing as described in The Machine That Changed the World by Womack, Jones and Roos.
Behavioral operations management examines and takes into consideration human behaviours and emotions when facing complex decision problems. It relates to the behavioral aspects of the use of operations research and operations management. In particular, it focuses on understanding behavior in, with and beyond models. The general purpose is to make better use and improve the use of operations theories and practice, so that the benefits received from the potential improvements to operations approaches in practice, that arise from recent findings in behavioral sciences, are realized. Behavioral operations approaches have heavily influenced supply chain management research among others.
Supply-chain optimization (SCO) aims to ensure the optimal operation of a manufacturing and distribution supply chain. This includes the optimal placement of inventory within the supply chain, minimizing operating costs including manufacturing costs, transportation costs, and distribution costs. Optimization often involves the application of mathematical modelling techniques using computer software. It is often considered to be part of supply chain engineering, although the latter is mainly focused on mathematical modelling approaches, whereas supply chain optimization can also be undertaken using qualitative, management based approaches.
The vehicle routing problem (VRP) is a combinatorial optimization and integer programming problem which asks "What is the optimal set of routes for a fleet of vehicles to traverse in order to deliver to a given set of customers?" It generalises the travelling salesman problem (TSP). It first appeared in a paper by George Dantzig and John Ramser in 1959, in which the first algorithmic approach was written and was applied to petrol deliveries. Often, the context is that of delivering goods located at a central depot to customers who have placed orders for such goods. The objective of the VRP is to minimize the total route cost. In 1964, Clarke and Wright improved on Dantzig and Ramser's approach using an effective greedy algorithm called the savings algorithm.
Revenue management is a discipline to maximize profit by optimizing rate (ADR) and occupancy (Occ). In its day to day application the maximization of RevPAR is paramount.
Enterprise IT management (EITM) is a strategy which details how organizations can transform the management of IT to maximize business value. As a strategy for increasing the business relevance of the IT function, EITM considers the need for IT organizations to start operating as a service-based business. That is, ensuring investments are prioritized according to business strategy and that operational efficiencies can be more quickly realized and costs reduced when IT processes are integrated and automated.
Order processing is the process or work-flow associated with the picking, packing, and delivery of the packed items to a shipping carrier and is a key element of order fulfillment. Order processing operations or facilities are commonly called “distribution centers” or “DC 's”. There are wide variances in the level of automation associating to the “pick-pack-and-ship” process, ranging from completely manual and paper-driven to highly automated and completely mechanized; computer systems overseeing this process are generally referred to as Warehouse Management Systems or “WMS”.
Clustering is the problem of partitioning data points into groups based on their similarity. Correlation clustering provides a method for clustering a set of objects into the optimum number of clusters without specifying that number in advance.
