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For example, a soda bottle can have different packaging variations, flavors, nutritional values. It is possible to optimize a product by making minor adjustments. Typically, the goal is to make the product more desirable and to increase marketing metrics such as Purchase Intent, Believability, Frequency of Purchase, etc.
Category management is a retailing and purchasing concept in which the range of products purchased by a business organization or sold by a retailer is broken down into discrete groups of similar or related products. These groups are known as product categories (examples of grocery categories might be: tinned fish, washing detergent, toothpastes).
Manufacturing process management (MPM) is a collection of technologies and methods used to define how products are to be manufactured.MPM differs from ERP/MRP which is used to plan the ordering of materials and other resources, set manufacturing schedules, and compile cost data.
A generic lifecycle of products. In industry, product lifecycle management (PLM) is the process of managing the entire lifecycle of a product from its inception through the engineering, design, and manufacture, as well as the service and disposal of manufactured products.
The plan–do–check–act cycle is an example of a continual improvement process. The PDCA (plan, do, check, act) or (plan, do, check, adjust) cycle supports continuous improvement and kaizen. It provides a process for improvement which can be used since the early design (planning) stage of any process, system, product or service.
Process optimization is the discipline of adjusting a process so as to make the best or most effective use of some specified set of parameters without violating some constraint. Common goals are minimizing cost and maximizing throughput and/or efficiency. Process optimization is one of the major quantitative tools in industrial decision making.
Assortment strategies are used by retailers in brick-and-mortar and ecommerce to decide on a daily basis how to allocate inventory to their stores as part of their merchandise planning processes. Such strategies are integral for retailers because they directly affect how their customers interact with their merchandise, and therefore, their brand.
Multi-objective optimization or Pareto optimization (also known as multi-objective programming, vector optimization, multicriteria optimization, or multiattribute optimization) is an area of multiple-criteria decision making that is concerned with mathematical optimization problems involving more than one objective function to be optimized simultaneously.