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Inventory optimization refers to the techniques used by businesses to improve their oversight, control and management of inventory size and location across their extended supply network. [1] It has been observed within operations research that "every company has the challenge of matching its supply volume to customer demand.
The purpose of value-stream mapping is to identify and remove or reduce "waste" in value streams, [2] thereby increasing the efficiency of a given value stream. Waste removal is intended to increase productivity by creating leaner operations which in turn make waste and quality problems easier to identify.
Resource recovery can be enabled by changes in government policy and regulation, circular economy infrastructure such as improved 'binfrastructure' to promote source separation and waste collection, reuse and recycling, [5] innovative circular business models, [6] and valuing materials and products in terms of their economic but also their social and environmental costs and benefits. [7]
Typically, supply-chain managers aim to maximize the profitable operation of their manufacturing and distribution supply chain. This could include measures like maximizing gross margin return on inventory invested (balancing the cost of inventory at all points in the supply chain with availability to the customer), minimizing total operating expenses (transportation, inventory and ...
Inventory planning involves using forecasting techniques to estimate the inventory required to meet consumer demand. [ 1 ] [ 2 ] [ 3 ] The process uses data from customer demand patterns, market trends , supply patterns, and historical sales to generate a demand plan that predicts product needs over a specified period.
For example, a 'walk around' stock intake done just prior to the MRP calculations can be a practical solution for a small inventory (especially if it is an "open store"). Good MRP system, however, recognize supercessions, driven by date or by stock run-down, to handle this effectively and efficiently.