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In the Working Capital Management context, the industrial group Knauf Insulation launched the Cash for Growth project which consists in releasing sleeping funds in inventory to improve the profitability of the company. The studied plant, located in Visé, produces glass mineral wool and white blowing wool. This paper focuses on the inventory management of the raw materials. A distinction is made between the raw materials, which form the glass mineral wool mattress, and the direct materials which are applied on the mattress for product differentiations.
Basic inventory management concepts are exposed: inventory holding cost, inventory control system and ordering policy, models for the reorder point and safety stock calculation and the well-known lot-sizing model: the Economic Order Quantity model.
In the second part of the paper, how the theoretical elements can be applied to the case of a continuous manufacturing like Knauf Insulation is discussed. A modified version of the reorder point and safety stock model is proposed for the raw materials for which Excel tools are developed to control the inventory level and the planning process. Concerning the direct materials which are managed on SAP ERP, improvements in the parameters of the MRP are proposed: the automatic safety stock calculation is activated. For slow-moving items, a reorder point strategy is used with a special key to obtain a fixed reorder point. Implementation of the proposed solutions results in a decrease of 10% in the stock value, which represents a value of €250,000. 
Finally, a relationship between inventory management and a scheduling problem is established: changeovers between products consume materials and produce waste. This problem refers to a sequence-dependent setup times problem which need to be minimized. Besides the description of the current situation of the schedule construction, a literature review about the studied problem in a single-machine environment is presented. The problem needs further investigations before being developed and implemented as a tool to help the schedulers.

working capital management --- inventory management --- reorder point --- safety stock --- continuous manufacturing --- scheduling --- sequence-dependent setup times --- Sciences économiques & de gestion > Production, distribution & gestion de la chaîne logistique

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In the current world, every company tends to improve its competitiveness regarding its costs. This also applies to Circuit Foil - producer of copper foils - which wish to enhance its management of articles kept in the warehouse to ensure both operational and maintenance activities.
Different complementary solutions are discussed in this thesis to enable the company to decrease its costs whereas it increases its management tools to strengthen the Purchasing Department.
The first solution explained consists of providing an analyzing file and method to run each quarter to be aware of stock variations.
Secondly, a classification procedure has been set up to increase standardization and enable workers to use more efficiently the SAP searching tool.
Then, new theoretical safety stocks, reorder points and lots-size have been computed using best Supply Chain approaches.
In addition, a tool has been provided in a Visual Basic version to help the company to run analyses much more quickly.
In conclusion, results of the work are discussed and a list of suggested improvement is given.

ABC analysis --- Cash-flow --- Coverage --- Gauss --- Inventory --- Lot-size --- Normal Distribution --- Pareto --- Production --- Reorder Point --- Safety Stock --- SAP --- Service Rate --- Stock --- VBA --- Working Capital --- XYZ analysis --- Sciences économiques & de gestion > Production, distribution & gestion de la chaîne logistique

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The use of the energy and its resources have changed dramatically in last few decades. The increasing use of technology and electrification increases the demand for energy, with impacts natural energy resources. At present, industries are trying to reduce the direct use of traditional energy by utilizing renewable energy as an alternative energy resource. Recent studies have attempted to optimize consumed energies for entire systems by using alternative energies. These alternatives are different kinds of renewable energies which provide numerous new possibilities to survive without using non-renewable energies. The production industry is moving toward smart production using the technology of the fourth industrial revolution. In this book, energy consumption for production and supply chain management are explained through presentation of some the latest major research advances. These studies collectively contribute new ideas and strategies in enriching the literature.

History of engineering & technology --- energy --- multi-item smart production --- system reliability --- failure rate --- variable development cost --- sustainable electrical energy supply chain --- inventory --- price-dependent demand --- transmission and distribution costs --- carbon-emission --- renewable energy --- smart production system --- random breakdown --- safety stock --- controllable production rate --- healthcare supply chain management --- platelets --- perishability factor --- location-allocation --- sustainable manufacturing system --- multi-item production --- variable holding cost --- inflation --- control theory --- stochastic production capacity --- unreliable production system --- random failure and repair rates --- electrical energy consumption --- supply chain management --- imperfect production --- distribution free approach --- service level constraint --- transportation discount

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• Reference Manager
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The use of the energy and its resources have changed dramatically in last few decades. The increasing use of technology and electrification increases the demand for energy, with impacts natural energy resources. At present, industries are trying to reduce the direct use of traditional energy by utilizing renewable energy as an alternative energy resource. Recent studies have attempted to optimize consumed energies for entire systems by using alternative energies. These alternatives are different kinds of renewable energies which provide numerous new possibilities to survive without using non-renewable energies. The production industry is moving toward smart production using the technology of the fourth industrial revolution. In this book, energy consumption for production and supply chain management are explained through presentation of some the latest major research advances. These studies collectively contribute new ideas and strategies in enriching the literature.

History of engineering & technology --- energy --- multi-item smart production --- system reliability --- failure rate --- variable development cost --- sustainable electrical energy supply chain --- inventory --- price-dependent demand --- transmission and distribution costs --- carbon-emission --- renewable energy --- smart production system --- random breakdown --- safety stock --- controllable production rate --- healthcare supply chain management --- platelets --- perishability factor --- location-allocation --- sustainable manufacturing system --- multi-item production --- variable holding cost --- inflation --- control theory --- stochastic production capacity --- unreliable production system --- random failure and repair rates --- electrical energy consumption --- supply chain management --- imperfect production --- distribution free approach --- service level constraint --- transportation discount --- energy --- multi-item smart production --- system reliability --- failure rate --- variable development cost --- sustainable electrical energy supply chain --- inventory --- price-dependent demand --- transmission and distribution costs --- carbon-emission --- renewable energy --- smart production system --- random breakdown --- safety stock --- controllable production rate --- healthcare supply chain management --- platelets --- perishability factor --- location-allocation --- sustainable manufacturing system --- multi-item production --- variable holding cost --- inflation --- control theory --- stochastic production capacity --- unreliable production system --- random failure and repair rates --- electrical energy consumption --- supply chain management --- imperfect production --- distribution free approach --- service level constraint --- transportation discount