Iskanje po katalogu digitalne knjižnice

Iskalni niz:	išči po
	išči po
	išči po
	išči po
Vrsta gradiva:	* po starem in bolonjskem študiju
Jezik:
Išči po:
Opcije:	Prikaži samo zadetke s celotnim besedilom
	Ponastavi

1 - 2 / 2

Planning and construction of the lifting and towing device of the autonomous mobile robot MiR 100 for the delivery of transport trolleys in intralogistics
Tone Lerher, Aleš Belšak, Rok Skerbiš, Jure Tumpej, Žiga Volavšek, Domen Stamenov, Marko Motaln, 2022, objavljeni znanstveni prispevek na konferenci

Opis: Intralogistics is a very important area in warehousing and production for managing the flow of materials and informational flow. In recent years, automation and especially robotisation have had a major impact on throughput performance in intralogistics. Especially important is the transport of materials and products based on automated guided vehicles (AGVs) and autonomous mobile robots (AMRs) with different top modules, such as the lifting and towing device. In this paper, planning and construction of the lifting and towing device of the autonomous mobile robot MiR 100 for the delivery of transport trolleys in intralogistics is presented. Using the engineering design methods, a new design of the lifting and towing device has been proposed and evaluated.
Ključne besede: intralogistics, material handling systems, automation and robotisation, planning and construction, lifting and towing mechanism, simulation and animation
Objavljeno v DKUM: 15.03.2023; Ogledov: 644; Prenosov: 76
Celotno besedilo (1,45 MB)

A multi-objective optimization approach for designing automated warehouses
Tone Lerher, Matej Borovinšek, Iztok Potrč, Matjaž Šraml, 2012, objavljeni znanstveni prispevek na konferenci

Opis: A multi objective optimization of automated warehouses is discussed and evaluated in present paper. Since most of researchers in material handling community had performed optimization of decision variables with single objective function only (usually named with minimum travel time, maximum throughput capacity, minimum cost, etc.), the multi objective optimization (travel time - cost - quality) will be presented. For the optimization of decision variables in objective functions, the method with genetic algorithms is used. To find the Pareto optimal solutions, the NSGA II genetic algorithm was used. The main objective of our contribution is to determine the performance of the system according to the multi objective optimization technique. The results of the proposed model could be useful tool for the warehouse designer in the early stage of warehouse design.
Ključne besede: automated warehouses, material handling, multi objective optimization
Objavljeno v DKUM: 10.07.2015; Ogledov: 1322; Prenosov: 34
Povezava na celotno besedilo

Iskanje izvedeno v 0.19 sek.

Na vrh