Abstract:
A plan determination method of which process is executed by a computer, the process includes receiving lead time for each raw material for a product, the lead time being indicative of time interval between a time at which an order of the each raw material is ordered and a time of arrival of the each raw material; and calculating an order quantity of the each raw material and a production quantity of the product which cause a cost relating to manufacturing of the product to be minimized, by using the received lead time for the each raw material and a predicted demand quantity of the product.
Abstract:
An information analysis supporting apparatus includes a computer processor and a storage part. The storage part stores first data correlating data item names of analysis object data and standardized data item names and second data correlating the standardized data item names and information related to analysis processes. The storage part stores instructions that, when executed by the computer processor, cause the information analysis supporting apparatus to search, in response to inputting of the analysis object data, the first data using the data item names of the input analysis object data and extract the standardized data item names, search the second data using the extracted standardized data item names and extract the information related to the analysis processes, and cause a presentation part to present the extracted information related to the analysis processes.
Abstract:
A non-transitory computer-readable storage medium storing a navigation monitoring program that causes at least one computer to execute a process, the process includes acquiring direction information that indicates a direction of a vessel and position information that indicates a position of the vessel; and predicting whether or not the vessel navigates along a course by inputting the acquired direction information and the acquired position information to a prediction model generated by machine learning by using direction information and position information for each of a plurality of vessels that has navigated in the past and a correct answer label that indicates whether or not each of the plurality of vessels navigates along a course.
Abstract:
A non-transitory computer-readable storage medium storing a navigation monitoring program that causes at least one computer to execute a process, the process includes acquiring direction information that indicates a direction of a vessel and position information that indicates a position of the vessel; and predicting whether or not the vessel navigates along a course by inputting the acquired direction information and the acquired position information to a prediction model generated by machine learning by using direction information and position information for each of a plurality of vessels that has navigated in the past and a correct answer label that indicates whether or not each of the plurality of vessels navigates along a course.
Abstract:
A method for a collision risk calculation includes: executing acquisition processing that includes acquiring travel information regarding a position and velocity of each of a first vessel and a second vessel; executing region calculation processing that includes calculating a region having a possibility of future collision between the first vessel and the second vessel from the travel information of each of the first vessel and the second vessel; and executing first risk calculation processing that includes calculating a first risk value based on a maneuvering amount used by the first vessel or the second vessel in order to avoid the region.
Abstract:
A method includes: extracting Time to Closest Point of Approach included in a predetermined time from “risk value information” that stores a “Closest Point of Approach”, the “Time to Closest Point of Approach” and a “risk value” for “a first vessel and a second vessel”, the risk value being a value indicating a possibility of collision between the first vessel and the second vessel at the Closest Point of Approach and the Time to Closest Point of Approach; acquiring the Closest. Point of Approach and the risk value corresponding to the extracted Time to Closest Point of Approach from the risk value information; determining to which sea area the acquired Closest. Point of Approach belongs to; and executing calculation processing that includes calculating a sum of risk values corresponding to the Closest Point of Approach for each of sea areas to which the determined Closest Point of Approach belongs.
Abstract:
A collision risk calculation method for a computer to execute a process includes, calculating, by using track data of each of a first vessel and a second vessel, a risk value related to a collision between the first vessel and the second vessel at each time point by a certain method; specifying a time range before the risk value becomes a maximum risk value; extracting, from the track data, an action pattern of one or both of the first vessel and the second vessel in the time range; calculating a degree of the action pattern of one or both of the first vessel and the second vessel on the basis of the action pattern; and correcting the risk value based on the degree of the action pattern and a weight set for each action pattern.
Abstract:
A non-transitory computer-readable recording medium stores a ship track data display program that causes a computer to execute a process including: first extracting particular ship track data for a set of particular ships with a relative distance therebetween being within a predetermined range, from ship track data for a plurality of ships; second extracting a place where a distance between ship tracks thereof is at a local minimum, from the particular ship track data; and associatively displaying, for the place, point data of a ship that previously arrives at the place, in the set of particular ships, and point data of another ship at a point of time when the ship that previously arrives at the place arrives at the place.
Abstract:
An order quantity determination method includes: accepting lead time from product order to arrival; calculating a stock quantity of the product by a processor based on an arrival quantity of the product and a demand forecast value of the product, the arrival quantity of the product is calculated based on the accepted lead time and order time of the product; and calculating an order quantity of the product by a processor based on a cost for holding the calculated stock quantity of the product, a price of the product, and the demand forecast value of the product.