119 results about "Supply planning" patented technology

The present disclosure provides for supplying collaborative planning by a computerized framework manager. Steps include furnishing network connections and collecting supply and demand information from business entities. Such information is analyzed and used to facilitate planning among the business entites. The network provides data access for multiple data sources and the network is used to store capacity data. The computerized framework manager conducts reverse inventory management of the business entities through the collection of data; analysis of data is then used to predict future demand, and predicted future demand is used to forecast costs to manufacturers, from which suggestions regarding optimization is made.

A method to systematically analyze a next generation telecommunications network to result in creating a provisioning plan for provisioning the network to provide services for one or more subscribers. In one specific embodiment, the method involves creating and storing information that represents a logical decomposition of the next generation network into a plurality of discrete functional areas. The information representing the functional areas is analyzed to identify one or more provisioning requirements for each of the functional areas. One or more provisioning procedures are determined, and one or more required provisioning tools are identified for each of the functional areas, based on the provisioning requirements. A sequence of execution of the procedures and tools is created and stored as a provisioning plan.

The present invention allocates the supply of critical components and manufacturing capacity by optimizing critical material planning decisions and dynamically allocating constrained materials using advanced substitution logic that considers alternate suppliers and supports product life cycle from design through end-of-life. The present invention may utilize unique synchronized allocations and matched sets logic. The synchronized allocations ensure that all materials necessary for production are available in the appropriate time-phased allocation before beginning production to minimize wasted production capacity and materials. The supply system may include various combination of components, including a Supply Planner, a Resource Optimizer, a Constraint Based Master Planner, a Product Change Analyzer, a Comparer, a Resource Requirements Planner, a Finite Resource Planner, a Customer Promiser, and an Interactive Master Scheduler. Another embodiment of the supply system includes a tool that allows users to define products using engineering specifications.

Disclosed herein are systems and methods for demand forecasting that enable multiple-scenario comparisons and analyses by letting users create forecasts from multiple history streams (for example, shipments data, point-of-sale data, customer order data, return data, etc.) with various alternative forecast algorithm theories. The multiple model framework of the present invention enables users to compare statistical algorithms paired with various history streams (collectively referred to as “models”) so as to run various simulations and evaluate which model will provide the best forecast for a particular product in a given market. Once the user has decided upon which model it will use, it can publish forecast information provided by that model for use by its organization (such as by a downstream supply planning program). Embodiments of the present invention provide a system and method whereby appropriate demand responses can be dynamically forecasted whenever given events occur, such as when a competitor lowers the price on a particular product (such as for a promotion), or when the user's company is launching new sales and marketing campaigns. Preferred embodiments of the present invention use an automatic tuning feature to assist users in determining optimal parameter settings for a given forecasting algorithm to produce the best possible forecasting model.

A computer-implemented decision-support tool serves as a solver to generate a projected supply planning (PSP) or estimated supply planning (ESP) match between existing assets and demands across multiple manufacturing facilities within the boundaries established by the manufacturing specifications and process flows and business policies to determine what supply can be provided over what time-frame by manufacturing and establishes a set of actions or guidelines for manufacturing to incorporate into their manufacturing execution system to ensure that the delivery commitments are met in a timely fashion. The PSP or ESP tool resides within a data provider tool that pulls the required production and distribution information. PSP matching is driven directly by user-supplied guidelines on how to flow or flush assets "forward" to some inventory or holding point. After the supply plan is created, the analyst compares this plan against an expected demand profile.

A system, method, and article of manufacture are provided for technology sharing during demand and supply planning in a network-based supply chain environment. Steps included are providing locator and mapping capabilities utilizing the network. Technology that includes streaming audio, stereo audio and video data is also shared utilizing the network. Encryption capabilities for the technology are also included. Further, searching capabilities are provided utilizing the network in addition to logging events and passive user profiling. The event logging includes logging network operations. User profile data is automatically received and stored. User profile data includes user identity, state, preferences and interests. User profile data is also automatically exported to an active profile manager which automatically adds additional user profile data. Additional user profile data includes information related to whether the user is a service provider or a manufacturer and the location of user.

A computer implemented decision support tool serves as a vehicle to enable a user to execute within a common work environment, from common production information files, and at the discretion of the user one of three types of matching between existing assets and demands across multiple manufacturing facilities within boundaries established by manufacturing specifications and process flows and business policies. The tool provides an environment which permits the user to easily gain the advantages of a synergistic relationship between the three types of matching. The tool directly supports three types of matching: (1) material requirements planning (MRP) type of matching, (2) best can do (BCD) type of matching, and (3) projected supply planning (PSP) type of matching.

A local inventory control system according to the invention can be remotely regulated by a centralized server architecture. The local inventory control system contains product offered by a business entity, and the same business entity can control unlocking of the local inventory control system using the centralized server architecture. In a practical implementation, the inventory control features are integrated with e-commerce features such that the local inventory control system can be automatically unlocked subsequent to the completion of online purchase transactions initiated at the local site. The inventory control system is well-suited as part of a supply program to manage vendor inventories of life science research products.

The invention relates to the technical field of power supply planning, and discloses a power supply planning method suitable for large-scale access of new energy. The power supply planning method comprises the following steps of step 1, performing prediction according to load requirements, formulating a conventional power supply planning scheme, and formulating an initial new energy installed scheme on the basis of the conventional power supply planning scheme; step 2, calculating new energy confidence capacity on the basis of the initial new energy installed scheme, and adopting a new energy power supply to replace the conventional power supply according to the confidence capacity to obtain a new energy power supply planning scheme; and step 3, performing new energy consumption capability analysis on the new energy power supply planning scheme; if the new energy consumption capability does not satisfy a new energy rate index, returning to the step 1, and reducing the new energy power supply planning scale; and if the new energy consumption capability satisfies the new energy rate index, completing the power supply planning method suitable for the large-scale access of new energy. By adoption of the power supply planning method, the large-scale development and grid connection of wind energy and solar energy are realized, so that the problems of wind energy and solar energy abandonment are relieved from the power supply planning aspect.

A method of updating a supply plan used to process customer requests in an available-to-promise (ATP) system. In one embodiment the method comprises updating a model of a supply chain process for one or more products sold by the ATP system and copying a current supply plan used by the ATP system to process customer requests to create a second supply plan. Thereafter, a first plurality of customer requests is received and orders from the requests are processed by the ATP system against the current supply plan while running the updated model of the supply chain process with the second supply plan as part of a process that creates a new supply plan. After the new supply plan is created, the new supply plan is synchronized with the old supply plan by synchronizing orders from the first plurality of customer requests scheduled against the old supply plan into the new plan while order promising continues against the old plan. The synchronizing process is stopped prior to synchronizing every one of the orders in the first plurality of requests into the new supply plan. Thereafter, all remaining orders from the first plurality of requests not synchronized during the synchronizing process are synchronized into the new supply plan while the ATM system temporarily stops promising orders. After the remaining orders from the first plurality of requests are synchronized, old supply plan is replaced by the new supply plan so that the ATP system processes future customer requests against the new supply plan.

Method and system for estimating performance of resource-based service delivery operation by simulating interactions of multiple events are provided. Method and system, in one aspect, simulate a plurality of events associated with a resource-based service delivery operation and allow the plurality of events to interact through a resource availability outlook. The plurality of events may include events of execution of service engagement and at least one or more of demand planning of service engagement, supply planning of resources, attrition of resources, termination of resource, or combinations of thereof.

A demand-supply planning device includes: a power demand predicting unit that predicts power demand; an expected rebate value predicting unit that calculates an expected profit value per unit amount of reduced power based on an occurrence probability of a demand response and a rebate value to be acquired through the demand response; and an optimal operation plan creating unit that sets an addition result of a first cost for power purchase, a second cost for power generation in power generators and storage batteries, and a multiplication result of the expected profit value and reserve power, which is an amount of power capable of being further generated by the power generators and the storage batteries after an amount of power supplied satisfying the power demand is generated, as an evaluation function and determines an operation plan of the reserve power and the power generators and the storage batteries.

The invention relates to a transmitting end grid power supply planning method in consideration of demand response and comprehensive benefit, comprising the following steps of obtaining system data tobe planned; establishing a power supply planning two-layer model aiming at maximizing comprehensive benefit, wherein the upper layer is an investment decision Layer, and the lower layer is a running simulation layer; solving the power supply planning two-layer model by using an improved hybrid particle swarm optimization algorithm to obtain an optimal power supply planning scheme; obtaining the comprehensive benefit based on random production simulation cost, load shedding cost, demand response cost, and energy abandonment cost and the power generation income in consideration of demand response dynamic power price, wherein the demand response dynamic demand response is obtained by establishing a demand response model with a goal of new energy consumption, and obtaining the dynamic power price under each typical scene according to an elastic power price calculation method. Compared with the prior art, the method has the advantages of high accuracy, strong adaptability and high efficiency.

The invention relates to a technical collaboration and dynamic intelligent management system for power planning. The system is composed of the following nine system modules: a data management module, a power grid current situation analysis module, a power market analysis module, a power market predication module, a project management module, a power grid planning supervision module, a power supply planning and management module, a power grid planning and management module and a system management module. According to the system of the invention, new demands of the planning work can be met, adaptability of economic and social development is facilitated, a complete predication solution scheme is provided, and the management level is enhanced.

A production planning method inputs demands for products. The demands have multiple due dates, and the multiple due dates have different priorities. The method performs an explosion process utilizing linear programming and heuristics to identify demands for components that are used to make the products (the explosion process maintains the multiple due dates and corresponding priorities for the components) and performs an implosion process utilizing linear programming and heuristics to assign resources to the components considering the multiple due dates and corresponding priorities.

The invention relates to a distributed power supply planning method based on a time sequence characteristic and environmental benefit. The technical problem that an existing distributed power supply planning technology is high in cost and low in efficiency and resource utilization rate. The distributed power supply planning method based on the time sequence characteristic and environmental benefit comprises the steps of obtaining daily load data of a power distribution network and classifying daily load sequences, classifying the annual daily load sequences of each load point of the power distribution network into type A and recording the day number included by each category, determining typical daily load sequences, determining unit capacity distributed power supply typical daily output sequences, determining the distributed power supply typical daily output sequences, determining a target function to obtain an optimal scheme. The distributed power supply planning method based on the time sequence characteristic and environmental benefit can be widely applied to optimized configuration of distributed power supply resources.

The invention discloses a microgrid-containing distribution network distributed power supply planning method which comprises the steps of (1) determining that a constraint that microgrid-containing distribution network distributed power supply planning should meet is a microgrid operating domain constraint, (2) determining factors that should be considered in the distributed power supply planningof a microgrid-containing distribution network are economy, environmental protection and reliability, and taking the reliability and environmental protection into economic indicators to carry out weighted summation as a planning target, and (3) solving the model by using a particle swarm algorithm to obtain an optimal planning scheme. According to the distributed power supply planning model with optimal economy, environmental protection and reliability as targets, the influence of grid connection of the distributed power supply on the operating boundary of a microgrid can be effectively reduced, the flexibility and controllability of the micro grid are ensured, the safety of a planning scheme is ensured, the method is suitable for the microgrid-containing distribution network distributed power supply planning, and actual simulation shows the effectiveness and rationality of the proposed method.

A method to systematically analyze a next generation telecommunications network to result in creating a provisioning plan for provisioning the network to provide services for one or more subscribers. In one specific embodiment, the method involves creating and storing information that represents a logical decomposition of the next generation network into a plurality of discrete functional areas. The information representing the functional areas is analyzed to identify one or more provisioning requirements for each of the functional areas. One or more provisioning procedures are determined, and one or more required provisioning tools are identified for each of the functional areas, based on the provisioning requirements. A sequence of execution of the procedures and tools is created and stored. Following the procedures and using the tools in the prescribed sequence results in a plan for provisioning the network for the services to which the subscriber has subscribed.

Computer implemented methods, data processing apparatus and manufacturing systems for determining or using current supplier schedule are described. A current customer requirement file is received including data items specifying a customer's current requirement of different parts each having associated supply dates from the supplier. The total quantity of each different type of part for each of a plurality of different time periods is determined. Data items specifying the total quantity of each different part and respective associated supply dates are stored in a current supplier schedule file. The current supplier schedule file is exported and can be displayed. A current net change in the supplier schedule based on the current supplier schedule and a previous supplier schedule can also be determined.

The demand response system comprises an automatic meter reading (AMR) unit to generate metering information. The demand response system comprises a multiple utility complex unit (MUC) which provides DR information based on the metering information and manages utility supply schedule in combination. The demand response system comprises an eco index (EI) calculation unit which calculates an eco index based on the metering information. The demand response system comprises a demand response (DR) unit which obtains the CBL information based on the metering information and computes a the DR bill by using the CBL data, the DR information and EI obtained, and outputs the DR bill. The demand response system comprises a smart portal (SP) unit which provides users with the calculated DR bill. According to the disclosure, the demand response system can provide environmental and social information, in addition to economic information.

A method of iterative negotiation for improved production planning between one or more purchasers and suppliers in a supply chain. The method includes a purchaser in a supply chain generating a request schedule that is communicated to a supplier. In response to the request schedule the supplier generates a commit schedule and communicates it back to the purchaser. Through the iterative negotiation process (ask-answer) one or more interpolation constraints are generated based on the supplier's commit schedules. Upon completion of the ask-answer process purchaser solves a final advanced planning system (APS) based on said one or more interpolation constraints and generates a final production plan. The invention can be employed to integrate the collaboration among purchasers and suppliers with an advanced planning system for optimizing established planning objectives (e.g. customer service, short lead times, low inventory, and prioritized allocation of supply and capacity).

A method for storage provisioning planning including integrating capacity and provisioning planning operations. Afterwards, the method proceeds by switching via policy between integrated capacity and provisioning planning operations. The method further includes constructing an end-to-end resource model and selecting a plurality of pools based on the end-to-end resource model. Subsequently, the method includes filtering via policy between a plurality of heterogeneous controllers having resource graphs. The resource graphs contain various levels of detail. The resource graphs having hosts, switches, and storage controllers are dynamically pruned, such pruning being predicated upon the monitored performance characteristics.

A system and method estimates performance of a supply chain's available-to-promise (ATP) and scheduling functions under various environmental and process assumptions. The supply chain's transformation alternatives are identified using a plurality of modules constituting a supply chain model and including a demand planning module, a configuration planning module, an order scheduling module and a supply planning module, each of said modules being reconfigurable using various policies, which policies, taken together, specify a particular supply chain design that is to be analyzed. A supply chain data base is accessed by the supply chain model to retrieve data elements that dictate appropriate policies within said plurality of modules. The supply chain performance is simulated based on settings of the modules and other environmental factors including demand uncertainty, order configuration uncertainty, supplier flexibility, supply capacity, and demand skew. Based on the simulation, scheduling and fill rate of new business settings are evaluated to determine if improvements to the supply chain are satisfactory.

A method of iterative negotiation for improved production planning between one or more purchasers and suppliers in a supply chain. The method includes a purchaser in a supply chain generating a request schedule that is communicated to a supplier. In response to the request schedule the supplier generates a commit schedule and communicates it back to the purchaser. Through the iterative negotiation process (ask-answer) one or more interpolation constraints are generated based on the supplier's commit schedules. Upon completion of the ask-answer process purchaser solves a final advanced planning system (APS) based on said one or more interpolation constraints and generates a final production plan. The invention can be employed to integrate the collaboration among purchasers and suppliers with an advanced planning system for optimizing established planning objectives (e.g. customer service, short lead times, low inventory, and prioritized allocation of supply and capacity).

A method and tool for estimating a ship date profile for a business (e.g., a business that is not in operation), includes simulating a plurality of dynamic events to estimate the ship date profile for the business. The plurality of dynamic events may include, for example, at least one of stochastic customer shopping traffic, an uncertainty of order size, a customer preference of a product feature and demand forecast, an inventory policy, a sourcing policy and a supply planning policy, and a manufacturing lead time.

The invention discloses a mobile communication supplier collaborative platform management system and method. The system comprises a collaborative interface platform and a supply chain system deployedin a mobile communication enterprise server, and a supplier platform deployed in each supplier server, wherein the collaborative interface platform is used for realizing data communication between thesupply chain system and the supplier platform; the supply chain system releases a purchasing task, acquires the production and stock state of the supplier and the logistics state, releases a receiving state, an order MIS receiving condition and an LIS receiving condition, and carries out internal auditing, payment initiating and payment approval on a payment claim electronic piece material; the supplier platform is used for confirming order requirements, generating a production / supply plan sheet, releasing the production and stock state and the logistics state, receiving a project implementation notice and receiving the payment information. Structuration and transmission of each piece of interactive information are realized through a SOAP (Simple Object Access Protocol) transport protocol, a WSDL (Web Service Definition Language) and other technologies, an artificial transmission link is reduced through electronic information transmission, the efficiency is effectively enhanced, and the cost is reduced.

The invention discloses a distributed power supply planning method based on an improved DC power flow algorithm. The method comprises the following steps: 1) importing data and inputting an initial value; 2) introducing the improved DC power flow algorithm considering voltage and reactive power to realize decoupling of voltage amplitude and phase angle in a branch power flow equation; 3) proposinga distributed power supply planning method considering coordinated optimization of an energy storage system and active management measures based on the algorithm; 4) adopting an iterative solution flow based on hot start for ensuring the precision of the planning method; 5) taking the net income of a distributed power supply operator as a target through combination with a specific power distribution network structure, and carrying out optimal configuration on the position and capacity of the distributed power supply. Through the distributed power supply planning method based on the improved direct current power flow algorithm, the net benefits of a distributed power supply operator can be increased, the consumption of the distributed power supply can be promoted, and the system network loss can be reduced.