Abstract: An information processing apparatus configured to: acquire spatial information related to a space in which a plurality of cargoes are disposed, the spatial information including a height of each of the plurality of subspaces, generate, according to the spatial information, a first constraint condition which indicates that no other cargo is present in one of the subspaces in a path from another of the subspaces where a cargo to be carried into or out is disposed to an entrance/exit of the space, a second constraint condition which indicates a number of cargoes that do not exceed the height of the subspace, and a third constraint condition which indicates a maximum carrying capacity of the cargoes, and determine, based on the constraint conditions, disposition of the plurality of cargoes in the space on condition that a cargo which exceeds the height of the subspace is not disposed.

Abstract: A method includes: for each of a delivery source and each of plural delivery destinations to which goods are delivered, receiving distance information indicating a distance between points, delivery amount information indicating a total delivery amount of the goods to each of the plural delivery destinations, and maximum delivery amount information indicating a maximum delivery amount per delivery; calculating a first cost to deliver the goods for the total delivery amount from the delivery source to each of the plural delivery destinations while setting the maximum delivery amount indicated by the maximum delivery amount information; calculating a second cost to deliver the goods for the total delivery amount from the delivery source to each of the delivery destinations; executing selection processing for selecting a delivery destination by using the first cost and the second cost; and creating a delivery plan by using a result of the selection processing.

Abstract: An optimization method includes: receiving space information regarding sections, a route between sections, and a route from each section to an entrance for a target space; setting a coefficient used to change a maximum load capacity of a cargo to be arranged in each region included in each section; generating a first constraint condition indicating that another cargo does not exist on the route from a cargo to be loaded or to be unloaded to the entrance at the time when the cargo is loaded and unloaded, a second constraint condition indicating the number of cargoes to be loaded and the number of cargoes to be unloaded calculated using the coefficient, and a third constraint condition indicating the maximum load capacity calculated using the coefficient; and determining cargo arrangement in the target space based on the first and second and third constraint conditions.

Abstract: An optimization method includes: receiving space information regarding sections, a route between sections, and a route from each section to an entrance for a target space; setting a coefficient used to change a maximum load capacity of a cargo to be arranged in each region included in each section; generating a first constraint condition indicating that another cargo does not exist on the route from a cargo to be loaded or to be unloaded to the entrance at the time when the cargo is loaded and unloaded, a second constraint condition indicating the number of cargoes to be loaded and the number of cargoes to be unloaded calculated using the coefficient, and a third constraint condition indicating the maximum load capacity calculated using the coefficient; and determining cargo arrangement in the target space based on the first and second and third constraint conditions.

Abstract: A method includes: for each of a delivery source and each of plural delivery destinations to which goods are delivered, receiving distance information indicating a distance between points, delivery amount information indicating a total delivery amount of the goods to each of the plural delivery destinations, and maximum delivery amount information indicating a maximum delivery amount per delivery; calculating a first cost to deliver the goods for the total delivery amount from the delivery source to each of the plural delivery destinations while setting the maximum delivery amount indicated by the maximum delivery amount information; calculating a second cost to deliver the goods for the total delivery amount from the delivery source to each of the delivery destinations; executing selection processing for selecting a delivery destination by using the first cost and the second cost; and creating a delivery plan by using a result of the selection processing.

Abstract: A method includes: receiving space information regarding a target space of a cargo, the space information being divided into a plurality of sections and defining a route between the plurality of sections and a route from each of the plurality of sections to an entrance; generating, according to the space information, a first constraint condition indicating that there is no other cargo on a route from the cargo to be loaded or to be unloaded to the entrance during loading or unloading of the cargo, a second constraint condition indicating a number of cargos to be loaded and a number of cargos to be unloaded, and a third constraint condition indicating a maximum load capacity of each of the plurality of sections; and determining a cargo arrangement optimizing a degree of instability of the target space based on the first, second, and third constraint conditions.

Abstract: A detector is the one which detects reflected electrons or secondary electrons emitted from a sample as a result of irradiation with an electron beam by an electron beam irradiation unit, and its one end is set into a non-contact state where it is separated from and faces the sample and the other end is supported on and fixed to a drive mechanism, and the drive mechanism freely moves the detector random positions three-dimensionally with respect to the sample. According to this configuration, it is possible to detect reflected electrons and secondary electrons scattered in random directions appropriately, and accurate evaluation of a crystal grain diameter in which no crystal grain boundary is overlooked and acquisition of an isotropic surface shape image are achieved.

Abstract: A method for producing a polylactic acid, comprising the steps of carrying out a ring-opening polymerization of lactide to give polylactic acid, adding a compound capable of inactivating a catalyst for ring-opening polymerization of the lactide at the completion of the reaction, and removing unchanged lactide from the polylactic acid product by reducing pressure and/or allowing an inert gas to pass; and a method for forming fiber or film directly from the polylactic acid produced by the invention.

Abstract: A hard facing chromium-base alloy consisting essentially of 30.0 to 48.0% by weight of nickel. 1.5 to 15.0% by weight of tungsten and/or 1.0 to 6.5% by weight of molybdenum, the balance being more than 40.0% by weight of chromium, and the maximum sum of tungsten and molybdenum being 15.0% by weight. The alloy may also contain one or more of iron, cobalt, carbon, boron, aluminum, silicon, niobium and titanium. When the alloy is used in powder form as a material for hard facing by welding, the alloy may further contain 0.01 to 0.12% by weight of aluminum, yttrium, misch metal, titanium, zirconium and hafnium. 0.01 to 0.1% by weight of oxygen may also be added to the alloy. The alloy has a high degree of toughness wear resistance and corrosion resistance. The alloy can be used as a hard facing material to be applied to various objects, such as automobile engine valves.

Abstract: A hard facing chromium-base alloy consisting essentially of 30.0 to 48.0% by weight of nickel, 1.5 to 15.0% by weight of tungsten and/or 1.0 to 6.5% by weight of molybdenum, the balance being more than 40.0% by weight of chromium, and the maximum sum of tungsten and molybdenum being 15.0% by weight. The alloy may also contain one or more of iron, cobalt, carbon, boron, aluminum, silicon, niobium and titanium. When the alloy is used in powder form as a material for hard facing by welding, the alloy may further contain 0.01 to 0.12% by weight of aluminum, yttrium, misch metal, titanium, zirconium and hafnium. 0.01 to 0.1% by weight of oxygen may also be added to the alloy. The alloy has a high degree of toughness, wear resistance and corrosion resistance. The alloy can be used as a hard facing material to be applied to various objects, such as automobile engine valves.