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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 ...
Manufacturing cost is the sum of costs of all resources consumed in the process of making a product. The manufacturing cost is classified into three categories: direct materials cost , direct labor cost and manufacturing overhead . [ 1 ]
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.
This can e.g. be achieved through centralization, automation or optimization of working processes. An example of a more for same alternative is a manufacturing company reducing its output of faulty products (and thereby reducing after sales cost) without using more money or resources. This can e.g. be achieved through use of quality management ...
Quality, cost, delivery (QCD), sometimes expanded to quality, cost, delivery, morale, safety (QCDMS), [1] is a management approach originally developed by the British automotive industry. [2] QCD assess different components of the production process and provides feedback in the form of facts and figures that help managers make logical decisions.
The potential of additive manufacturing is particularly high in the production of spare parts, since its introduction can reduce warehousing costs of slowly rotating spare parts. [131] Digitizing technology bears the potential to completely disrupt and restructure supply chains and enhance existing production routes.
The minimum-cost flow problem (MCFP) is an optimization and decision problem to find the cheapest possible way of sending a certain amount of flow through a flow network.A typical application of this problem involves finding the best delivery route from a factory to a warehouse where the road network has some capacity and cost associated.
Conventional mass-production design focuses primarily on product functions and manufacturing costs; however, design for lean manufacturing systematically widens the design equation to include all factors that will determine a product's success across its entire value stream and life-cycle. One goal is to reduce waste and maximize value, and ...