1. Method for evaluating the throughput performance of shuttle based storage and retrieval systemsTone Lerher, Banu Ekren, Zaki Sari, Bojan Rosi, 2016, izvirni znanstveni članek Opis: In this paper a method for throughput performance calculation of shuttle based storage and retrieval systems (SBS/RS) is presented. SBS/RS represent a new technology in automated storage and retrieval systems. Since it is important to design SBS/RS right the first time due to the relative inflexibility of the physical layout, we provide a proposed method for the throughput performance calculation of these systems. The performance of the system is considered as a throughput capacity of the SBS/RS as a whole.
Ključne besede: automated warehouses, performance analysis, shuttle based systems, storage, logistics
Objavljeno v DKUM: 12.07.2017; Ogledov: 1174; Prenosov: 426
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2. Multi-objective optimization of automated storage and retrieval systemsTone Lerher, Matjaž Šraml, Matej Borovinšek, Iztok Potrč, 2013, izvirni znanstveni članek Opis: The multi-objective optimization of automated warehouse 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 (time-cost-quality) will be presented in present research. For the optimization of decision variables in objective functions, the method with genetic algorithms is used. The main objective of our contribution is to determine the performance of the system according to the multi-objective optimization technique.
Ključne besede: automated warehouses, performance, multi-objective function, optimization
Objavljeno v DKUM: 10.07.2015; Ogledov: 875; Prenosov: 65
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3. A multi-objective optimization approach for designing automated warehousesTone 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: 991; Prenosov: 31
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