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Dr. Banu Y. Ekren
Yasar University

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0 E-commerce
0 Inventory
0 Supply Chain
0 omni-channel marketing
0 omni-channel

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E-commerce
Inventory
omni-channel

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Conference paper
Published: 08 August 2021 in Lecture Notes in Management and Industrial Engineering
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Warehouses play a significant role in cold chains as they do for regular supply chains. Although their goals are the same for both cold chains and regular supply chains, the operations of cold warehouses are more sophisticated since the cost of operation is considerably higher due to energy consumption and obsolesce of products in substandard conditions. Recently, there has been an enormous interest in the cold food supply chain to reduce food waste occurring along the chain. Hence, efficient management of cold warehouses becomes an important issue in this direction. Design and operation requirements in a cold warehouse may be different from a traditional non-cold warehouse. In this paper, we aim to provide an overview of cold chain operations, mostly by focusing on cold warehouse operations. We provide some statistics from a cold chain, design, and technology requirements for cold warehouses as well as warehouse operations shaped according to that warehouse features. It is observed that there are quite different design parameters in cold storage.

ACS Style

Cansu Yurtseven; Banu Yetkin Ekren; Ayhan Ozgur Toy. An Overview of Warehouse Operations for Cold Chain. Lecture Notes in Management and Industrial Engineering 2021, 161 -175.

AMA Style

Cansu Yurtseven, Banu Yetkin Ekren, Ayhan Ozgur Toy. An Overview of Warehouse Operations for Cold Chain. Lecture Notes in Management and Industrial Engineering. 2021; ():161-175.

Chicago/Turabian Style

Cansu Yurtseven; Banu Yetkin Ekren; Ayhan Ozgur Toy. 2021. "An Overview of Warehouse Operations for Cold Chain." Lecture Notes in Management and Industrial Engineering , no. : 161-175.

Conference paper
Published: 08 August 2021 in Lecture Notes in Management and Industrial Engineering
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Recent Industry 4.0 developments have created disruptive changes in industries. It has also changed the way people work and the required skills of the workforce for the future. This new technological advancement has created a requirement of workforce combining information technology (IT) and production knowledge. Unfortunately, many schools and universities have still been training students behind Industry 4.0 developments and requirements. Therefore, it is important to understand what characteristics and knowledge, as well as skills, are required for the future of jobs and engineering profiles to shape the new education requirements. This paper aims to address the future of engineering education, specifically by focusing on a promising engineering department that is the cyber-physical systems (CPS) engineering. We also aim to discuss how the curriculum of that novel discipline, CPS engineering, should be for the future of engineering requirements.

ACS Style

Banu Yetkin Ekren; Vikas Kumar. Future of Engineering Education: Cyber-Physical Systems Engineering. Lecture Notes in Management and Industrial Engineering 2021, 45 -54.

AMA Style

Banu Yetkin Ekren, Vikas Kumar. Future of Engineering Education: Cyber-Physical Systems Engineering. Lecture Notes in Management and Industrial Engineering. 2021; ():45-54.

Chicago/Turabian Style

Banu Yetkin Ekren; Vikas Kumar. 2021. "Future of Engineering Education: Cyber-Physical Systems Engineering." Lecture Notes in Management and Industrial Engineering , no. : 45-54.

Journal article
Published: 07 March 2021 in Sustainability
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In this paper, we study inventory share policies in an omni-channel supply network, to contribute to the circular economy (CE) concept. Lateral inventory share implementation provides flexibility and profitability in the supply chain by allowing inventory share between the same echelon locations in a network. Total holding costs and transportation costs can be reduced by lateral inventory share applications, which also contribute to decreased material usage for production over time, as well as reduced CO2 emission released by transportation. Technological and Internet of Things (IoT) developments make it possible for companies to share their real-time information with each other for uninterrupted marketing experiences. With such a connected network, companies aim to increase their profitability and responsiveness to their customers. We explore a well-designed inventory share policy towards the CE concept under an (s, S) inventory control policy. We simulate several pre-defined share designs by Arena 16.0 commercial software and compare their performances in terms of cost, responsiveness, transportation frequency, inventory held, etc. The results show that, by the implementation of a well-designed lateral inventory share policy, an omni-channel network can benefit from decreased holding cost and transportation cost, contributing to the CE concept.

ACS Style

Damla Izmirli; Banu Ekren; Vikas Kumar; Siwarit Pongsakornrungsilp. Omni-Chanel Network Design towards Circular Economy under Inventory Share Policies. Sustainability 2021, 13, 2875 .

AMA Style

Damla Izmirli, Banu Ekren, Vikas Kumar, Siwarit Pongsakornrungsilp. Omni-Chanel Network Design towards Circular Economy under Inventory Share Policies. Sustainability. 2021; 13 (5):2875.

Chicago/Turabian Style

Damla Izmirli; Banu Ekren; Vikas Kumar; Siwarit Pongsakornrungsilp. 2021. "Omni-Chanel Network Design towards Circular Economy under Inventory Share Policies." Sustainability 13, no. 5: 2875.

Journal article
Published: 04 March 2021 in Applied Sciences
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This paper studies a novel autonomous vehicle-based storage and retrieval system (AVS/RS) design with movable lifts (AVS/RS/ML). In the proposed system, there are aisle-captive lifts that are able to travel along the warehouse aisle to position themselves at the target column location. Those lifts can lift up/down the autonomous vehicles to/from the target storage compartment when they are in standstill. This novel design is proposed as an alternative to existing AVS/RSs to balance the resource utilizations as well as to provide an inexpensive solution with highly utilized autonomous vehicles (i.e., AGVs). As an initial work, for this novel system, two alternative operating designs under different racking configurations are experimented. We compare those two designs by their throughput rate performance metrics under the arrival rate scenarios with highly utilized AGVs (i.e., 95%). Besides, we experiment with two warehouse capacity scenarios: 900 and 1800 storage compartments. The results show that designs with two separate I/O point locations provide a better throughput rate than designs with single I/O point location. Besides, a decreased number of columns in the system improves the system’s performance.

ACS Style

Boris Jerman; Banu Ekren; Melis Küçükyaşar; Tone Lerher. Simulation-Based Performance Analysis for a Novel AVS/RS Technology with Movable Lifts. Applied Sciences 2021, 11, 2283 .

AMA Style

Boris Jerman, Banu Ekren, Melis Küçükyaşar, Tone Lerher. Simulation-Based Performance Analysis for a Novel AVS/RS Technology with Movable Lifts. Applied Sciences. 2021; 11 (5):2283.

Chicago/Turabian Style

Boris Jerman; Banu Ekren; Melis Küçükyaşar; Tone Lerher. 2021. "Simulation-Based Performance Analysis for a Novel AVS/RS Technology with Movable Lifts." Applied Sciences 11, no. 5: 2283.

Journal article
Published: 04 February 2021 in Computers & Operations Research
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This research investigates lateral inventory share-based business models for e-grocery networks where online groceries are inter-connected in an Internet of Things (IoT) environment. Recently, managing food supplies has become a very important issue due to the onset of unexpected conditions such as natural disasters (earthquakes, tsunamis, floods, droughts etc.) and pandemics. In this paper, we aim to design sustainable food supply chain networks for e-commerce food companies (e.g. e-groceries) by applying lateral inventory share policies after the consideration of the existence of strategic alliances between organizations. We aim to minimize food waste as well as back orders resulting in more sustainable networks. Further, we explore how a business-to-business (B2B) policy (i.e. lateral-inventory share policy) should be designed to optimize business (i.e. e-groceries) profitability. We optimize the re-order and up-to (s,S) inventory levels of e-groceries for the pre-defined sharing policies by using a simulation optimization approach. The optimal results show that having a lateral inventory share poliIndiacy in food networks is more efficient compared to a non-lateral policy. Also, at the optimal points of the considered policies, lateral inventory share ratio is usually observed to be larger than 50% on average, meaning that more than half of customer orders are met by lateral inventory share.

ACS Style

Banu Yetkin Ekren; Sachin Kumar Mangla; Ecem Eroglu Turhanlar; Yigit Kazancoglu; Guo Li. Lateral inventory share-based models for IoT-enabled E-commerce sustainable food supply networks. Computers & Operations Research 2021, 130, 105237 .

AMA Style

Banu Yetkin Ekren, Sachin Kumar Mangla, Ecem Eroglu Turhanlar, Yigit Kazancoglu, Guo Li. Lateral inventory share-based models for IoT-enabled E-commerce sustainable food supply networks. Computers & Operations Research. 2021; 130 ():105237.

Chicago/Turabian Style

Banu Yetkin Ekren; Sachin Kumar Mangla; Ecem Eroglu Turhanlar; Yigit Kazancoglu; Guo Li. 2021. "Lateral inventory share-based models for IoT-enabled E-commerce sustainable food supply networks." Computers & Operations Research 130, no. : 105237.

Journal article
Published: 01 December 2020 in Sustainability
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This paper studies inventory share policies for sustainable omni-channel e-commerce supply network design by seeking for a good integration policy of online and offline retailers so that the overall supply network reduce its cost, environmental negative impacts by the decreased number of shipments from the main depot, and increase its responsiveness. By the recent advancement in information technologies and internet use, e-commerce practice gained popularity also to keep up with the competitive environment. The increased competitive supply chain environment has revealed the business-to-business (B2B) concepts enabling business applications between companies. Strategic alliance is a partnership concept realized between two or more organizations ensuring that stages are managed with consideration of the welfare of the others in the whole network. By considering that there are inventory share policies between stages, we accept the existence of strategic alliance implementation in the network, aiming to increase total network flexibility and profitability as well as sustainability in the network. In the study, we research inventory share policies towards strategic alliance concept to have a network design with a decreased negative effect of demand uncertainty and increased profitability in the network. By inventory share policies, businesses share their current inventories with the others so that transportation cost and CO2 emission caused by traffic intensity is decreased in the network. We propose six inventory share policy combinations and optimize the (s, S) inventory levels under those policies by minimizing total network cost. We utilize the simulation modeling approach for the modeling purpose. We compare the policy results based on the total network cost, the total number of shipments completed from the main warehouse, and total lost sale cost, etc., at the optimal levels and suggest the best policy design.

ACS Style

Damla Izmirli; Banu Ekren; Vikas Kumar. Inventory Share Policy Designs for a Sustainable Omni-Chanel E-Commerce Network. Sustainability 2020, 12, 10022 .

AMA Style

Damla Izmirli, Banu Ekren, Vikas Kumar. Inventory Share Policy Designs for a Sustainable Omni-Chanel E-Commerce Network. Sustainability. 2020; 12 (23):10022.

Chicago/Turabian Style

Damla Izmirli; Banu Ekren; Vikas Kumar. 2020. "Inventory Share Policy Designs for a Sustainable Omni-Chanel E-Commerce Network." Sustainability 12, no. 23: 10022.

Research article
Published: 12 August 2020 in International Transactions in Operational Research
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This paper compares two shuttle‐based storage and retrieval system (SBS/RS) configurations developed on travel policy of shuttles in the systems. Specifically, we compare two system configurations of SBS/RS: SBS/RS with tier‐captive shuttles and SBS/RS with tier‐to‐tier shuttles. In a tier‐captive SBS/RS warehouse design, there is a dedicated shuttle in each tier that cannot travel between tiers. Due to a large number of shuttles in such a configuration, lifts are always bottlenecks and the utilizations of shuttles are very low. In this study, we propose an alternative SBS/RS design with tier‐to‐tier shuttles in which shuttles can travel between tiers by using a separate lifting mechanism dedicated for them. The advantage of this design would be reduction in investment cost due to the decreased number as well as higher utilizations of shuttles in the system. The two configurations were compared on the following performance metrics: initial investment costs, throughput rates per hour, and average energy consumption per transaction when there is a regeneration mechanism in the system. In a tier‐to‐tier SBS/RS design, allowing shuttles to travel between tiers increases operational complexity of the system. Thus, we simulate the two system designs and compare their performance metrics by conducting several rack design experiments based on the number of aisles, tiers, and bays. The results of this study suggest that there may be a better configuration in terms of total investment cost and throughput rate in a newly proposed tier‐to‐tier SBS/RS design that could be considered as an alternative to a tier‐captive SBS/RS design.

ACS Style

Melis Küçükyaşar; Banu Y. Ekren; Tone Lerher. Cost and performance comparison for tier‐captive and tier‐to‐tier SBS/RS warehouse configurations. International Transactions in Operational Research 2020, 28, 1847 -1863.

AMA Style

Melis Küçükyaşar, Banu Y. Ekren, Tone Lerher. Cost and performance comparison for tier‐captive and tier‐to‐tier SBS/RS warehouse configurations. International Transactions in Operational Research. 2020; 28 (4):1847-1863.

Chicago/Turabian Style

Melis Küçükyaşar; Banu Y. Ekren; Tone Lerher. 2020. "Cost and performance comparison for tier‐captive and tier‐to‐tier SBS/RS warehouse configurations." International Transactions in Operational Research 28, no. 4: 1847-1863.

Journal article
Published: 06 August 2020 in Applied Mathematical Modelling
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Recently, growth in e-commerce has created substantially increased investment in robotic technologies in warehouses, especially for storage and retrieval devices. Shuttle-based storage and retrieval system (SBS/RS) is one of the robotic automated storage and retrieval technologies mostly used for a mini-load material handling system in e-commerce warehouses. This new technology is developed alternatively to the traditional mini-load crane-based automated storage and retrieval system (AS/RS). Due to having an autonomous order picker robot in each tier of the racking system, the process rate for this new technology is very high. To evaluate several design options for SBS/RS warehouse promptly, we develop analytical models estimating important performance outputs from these systems. Specifically, this study aims to present an open queuing network (OQN) and a software-based tool that can estimate some important performance measures from a pre-defined SBS/RS warehouse design, promptly. Once the user enters the required input data values in the tool (e.g., the arrival rate of transactions to the system, warehouse metrics, number of tiers, aisles, bays, velocity profiles of devices, etc.), he/she can obtain the performance measure estimates in terms of the mean cycle time of a transaction, the mean energy consumption and energy regeneration per transaction, the mean waiting time of a transaction, the mean number of transactions waiting in a server (lift/shuttle) queue as well as the mean utilization of servers. The developed software-based tool is shared via a web site for users that can be downloaded for free (www.sbsrscalculator.com) for the practitioners.

ACS Style

Banu Y. Ekren; Anıl Akpunar. An open queuing network-based tool for performance estimations in a shuttle-based storage and retrieval system. Applied Mathematical Modelling 2020, 89, 1678 -1695.

AMA Style

Banu Y. Ekren, Anıl Akpunar. An open queuing network-based tool for performance estimations in a shuttle-based storage and retrieval system. Applied Mathematical Modelling. 2020; 89 ():1678-1695.

Chicago/Turabian Style

Banu Y. Ekren; Anıl Akpunar. 2020. "An open queuing network-based tool for performance estimations in a shuttle-based storage and retrieval system." Applied Mathematical Modelling 89, no. : 1678-1695.

Articles
Published: 04 February 2020 in International Journal of Production Research
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This paper deals with a hierarchical solution approach for multi-objective optimisation of an autonomous vehicle-based storage and retrieval system (AVS/RS) warehouse design. As a result of recent technological and Industry 4.0 developments, industries tend to automise their facilities using systems such as AVS/RS, an intra-logistics system, mostly utilised by large distribution centres. Compared to a traditional crane-based automated storage and retrieval system (AS/RS), these systems are more advantageous for having a flexible travel pattern of autonomous vehicles, enabling the designer vary the number of vehicles in the system based on the changed demand environment. Since it may affect the initial and operational costs as well as the system efficiency significantly, it is important to decide on the right warehouse design at first for these systems. In this paper, a multi-objective optimisation solution procedure under a hierarchical approach for the design of an AVS/RS, by considering minimisation of two conflicting performance measures – average cycle time and average energy consumption per transaction – is presented. By this work, it is also aimed to attract the attention of practitioners for the significance of multi-objective performance optimisation. For the multi-objective optimisation, Pareto-optimal solutions are presented.

ACS Style

Banu Yetkin Ekren. A multi-objective optimisation study for the design of an AVS/RS warehouse. International Journal of Production Research 2020, 59, 1107 -1126.

AMA Style

Banu Yetkin Ekren. A multi-objective optimisation study for the design of an AVS/RS warehouse. International Journal of Production Research. 2020; 59 (4):1107-1126.

Chicago/Turabian Style

Banu Yetkin Ekren. 2020. "A multi-objective optimisation study for the design of an AVS/RS warehouse." International Journal of Production Research 59, no. 4: 1107-1126.

Journal article
Published: 28 September 2019 in Simulation Modelling Practice and Theory
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This paper deals with an experimental study for shuttle-based storage and retrieval system (SBS/RS) design to identify significant factors affecting the performance metrics in the system. SBS/RS is an automated warehouse technology developed to overcome recent order profile resulting from increased e-commerce. Recent order profile has been shaped towards more product variety with less volume and short response time. In SBS/RS technology, each tier of an aisle typically has a dedicated shuttle processing orders hence, it has a very high transaction rate compared to its opponents. Neverthless, there can be several design options that can improve the performance of these systems. In this study first, the significant design factors affecting the pre-defined SBS/RS performance measures (e.g., average cycle time and energy consumption for a transaction; amount of energy regeneration for a transaction, etc.) are identified. Secondly, the best levels of these critical design factors improving the performance measures are identified. For this purpose, a statistical test, namely Tukey's test, is utilized. For the modelling purpose, simulation modelling using ARENA 14.0, is utilized. The statistical analyses from the simulation results are performed using Minitab 17 statistical software.

ACS Style

Banu Y. Ekren. A simulation-based experimental design for SBS/RS warehouse design by considering energy related performance metrics. Simulation Modelling Practice and Theory 2019, 98, 101991 .

AMA Style

Banu Y. Ekren. A simulation-based experimental design for SBS/RS warehouse design by considering energy related performance metrics. Simulation Modelling Practice and Theory. 2019; 98 ():101991.

Chicago/Turabian Style

Banu Y. Ekren. 2019. "A simulation-based experimental design for SBS/RS warehouse design by considering energy related performance metrics." Simulation Modelling Practice and Theory 98, no. : 101991.

Journal article
Published: 16 September 2019 in An International Journal of Optimization and Control: Theories & Applications (IJOCTA)
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Since it affects the performance of whole supply chain significantly, definition of correct inventory control policy in a supply chain is critical. Recent technological development enabled real time visibility of a supply network by horizontal integration of each node in a supply network. By this opportunity, inventory sharing among stocking locations is also possible in the effort of cost minimization in supply chain management. Hence, lateral transshipment gained popularity and studies seeking the best lateral-transshipment policy is still under research. In this study, we aim to compare different lateral-transshipment policies for an s, S inventory control problem for a single-echelon supply chain network system. In this work, we consider a supply network with three stocking locations which may perform lateral transshipment among them when backorder takes place. We develop the simulation models of the systems in ARENA 14.5 commercial software and compare the performance of the policies by minimizing the total cost under a pre-defined fill rate constraint by using an optimization tool, OptQuest, integrated in that software. The results show that lateral transshipment works well compared to the scenario when there is no lateral transshipment policy in the network.

ACS Style

Banu Yetkin Ekren; Bartu Arslan. Simulation-based lateral transshipment policy optimization for s, S inventory control problem in a single-echelon supply chain network. An International Journal of Optimization and Control: Theories & Applications (IJOCTA) 2019, 10, 9 -16.

AMA Style

Banu Yetkin Ekren, Bartu Arslan. Simulation-based lateral transshipment policy optimization for s, S inventory control problem in a single-echelon supply chain network. An International Journal of Optimization and Control: Theories & Applications (IJOCTA). 2019; 10 (1):9-16.

Chicago/Turabian Style

Banu Yetkin Ekren; Bartu Arslan. 2019. "Simulation-based lateral transshipment policy optimization for s, S inventory control problem in a single-echelon supply chain network." An International Journal of Optimization and Control: Theories & Applications (IJOCTA) 10, no. 1: 9-16.

Journal article
Published: 04 July 2018 in Applied Mathematical Modelling
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The aim of this study is to present a tool that can calculate critical performance measures of different Shuttle-Based Storage and Retrieval System (SBS/RS) designs. Specifically, our aim is to develop an analytical model-based tool that can estimate the mean and variance of travel time of lifts and shuttles, as well as the mean amount of energy consumption and energy regeneration per transaction for a pre-defined SBS/RS design. The methodology illustrated in this paper can also be utilized for any system having a straight discrete travel pattern with equal distance stop points. We are motivated in this study by a relatively new automated storage and retrieval technology, SBS/RS. By the provided tool, one can evaluate these systems’ performance promptly by changing the input design parameters (e.g., discrete travel lengths, velocity of vehicles, acceleration/deceleration of vehicles, number of tiers, number of bays, etc.) of these systems. The analytical models used in the tool are verified via simulation for several SBS/RS design scenarios. As a result, it is found that the proposed tool produces highly accurate results, specifically less than 1% Absolute Percentage Error from the simulation results.

ACS Style

Banu Y. Ekren; Anıl Akpunar; Zaki Sari; Tone Lerher. A tool for time, variance and energy related performance estimations in a shuttle-based storage and retrieval system. Applied Mathematical Modelling 2018, 63, 109 -127.

AMA Style

Banu Y. Ekren, Anıl Akpunar, Zaki Sari, Tone Lerher. A tool for time, variance and energy related performance estimations in a shuttle-based storage and retrieval system. Applied Mathematical Modelling. 2018; 63 ():109-127.

Chicago/Turabian Style

Banu Y. Ekren; Anıl Akpunar; Zaki Sari; Tone Lerher. 2018. "A tool for time, variance and energy related performance estimations in a shuttle-based storage and retrieval system." Applied Mathematical Modelling 63, no. : 109-127.

Journal article
Published: 30 June 2016 in International Journal of Production Research
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The aim of this study is to provide a graph-based solution for performance evaluation of a new autonomous vehicle-based storage and retrieval system, shuttle-based storage and retrieval system (SBS/RS), under various design concepts. By the graph-based solution, it is aimed the decision-maker (i.e. warehouse manager) evaluates a pre-defined system’s performance promptly and decides on the correct design concept based on his/her requirements from thousands of alternative design scenarios of SBS/RS. The design concepts include number of bays (NoB), aisles (NoA) and tiers (NoT) for the rack design and arrival rate of storage/retrieval (S/R) transactions to an aisle of the warehouse (AR). The performance of the system is evaluated in terms of average utilisation of lifts and average cycle time of S/R transactions. Simulation is utilised for the modelling purpose. Seven NoT, seven NoB and six AR scenarios are considered in the experiments. Hence, 294 experiments are completed to obtain the graphs. By this study, to the best of our knowledge it is the first time a graph-based solution including comprehensive design concepts of SBS/RS is presented.

ACS Style

Banu Yetkin Ekren. Graph-based solution for performance evaluation of shuttle-based storage and retrieval system. International Journal of Production Research 2016, 55, 6516 -6526.

AMA Style

Banu Yetkin Ekren. Graph-based solution for performance evaluation of shuttle-based storage and retrieval system. International Journal of Production Research. 2016; 55 (21):6516-6526.

Chicago/Turabian Style

Banu Yetkin Ekren. 2016. "Graph-based solution for performance evaluation of shuttle-based storage and retrieval system." International Journal of Production Research 55, no. 21: 6516-6526.

Journal article
Published: 01 June 2016 in Tehnicki vjesnik - Technical Gazette
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ACS Style

Tone Lerher; Banu Y. Ekren; Zaki Sari; Bojan Rosi. Method for evaluating the throughput performance of shuttle based storage and retrieval systems. Tehnicki vjesnik - Technical Gazette 2016, 23, 1 .

AMA Style

Tone Lerher, Banu Y. Ekren, Zaki Sari, Bojan Rosi. Method for evaluating the throughput performance of shuttle based storage and retrieval systems. Tehnicki vjesnik - Technical Gazette. 2016; 23 (3):1.

Chicago/Turabian Style

Tone Lerher; Banu Y. Ekren; Zaki Sari; Bojan Rosi. 2016. "Method for evaluating the throughput performance of shuttle based storage and retrieval systems." Tehnicki vjesnik - Technical Gazette 23, no. 3: 1.

Journal article
Published: 12 May 2016 in Transport
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This paper presents a multi-objective optimisation solution procedure for the design of the Shuttle-Based Storage and Retrieval System (SBS/RS). An efficient SBS/RS design should take into account multi-objectives for optimization. In this study, we considered three objective functions in the design concept which are the minimization of average cycle time of transactions (average throughput time), amount of energy (electricity) consumption and total investment cost. By also considering the amount of energy consumption as an objective function for minimization, we aimed to contribute to an environmentally friendly design concept. During the optimization procedure, we considered seven design variables as number of aisles, number of tiers, number of columns, velocities of shuttle carriers, acceleration/deceleration of shuttle carriers, velocity of the elevators lifting tables and acceleration/deceleration of the elevators lifting tables. Due to the non-linear property of the objective function, we utilized the Non-Dominated Sorting Genetic Algorithm II (NSGA II) genetic algorithm for facilitating the solution. Lastly, we searched Pareto optimal solutions to find out the optimum results. We believe that this study provides a useful and a flexible tool for warehouse planners and designers, while choosing a particular type of SBS/RS at the early stage of the warehouse design.

ACS Style

Matej Borovinšek; Banu Y. Ekren; Aurelija Burinskienė; Tone Lerher. MULTI-OBJECTIVE OPTIMISATION MODEL OF SHUTTLE-BASED STORAGE AND RETRIEVAL SYSTEM. Transport 2016, 32, 120 -137.

AMA Style

Matej Borovinšek, Banu Y. Ekren, Aurelija Burinskienė, Tone Lerher. MULTI-OBJECTIVE OPTIMISATION MODEL OF SHUTTLE-BASED STORAGE AND RETRIEVAL SYSTEM. Transport. 2016; 32 (2):120-137.

Chicago/Turabian Style

Matej Borovinšek; Banu Y. Ekren; Aurelija Burinskienė; Tone Lerher. 2016. "MULTI-OBJECTIVE OPTIMISATION MODEL OF SHUTTLE-BASED STORAGE AND RETRIEVAL SYSTEM." Transport 32, no. 2: 120-137.