Article
Engineering, Industrial
Mahdi Yousefi Nejad Attari, Ali Ebadi Torkayesh, Behnam Malmir, Ensiyeh Neyshabouri Jami
Summary: Decisions made for designing and operating a warehouse system are crucial, with total logistics costs and customer order quantities playing key roles. This study focused on joint order batching procedures and picker routing problems, using robust possibilistic programming and meta-heuristic algorithms to address the issue. The performance of the solution approaches was influenced by computing times, with no significant difference observed in the mean values of the objective function across different test examples.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2021)
Article
Computer Science, Information Systems
Renchao Wu, Jianjun He, Xin Li, Zuguo Chen
Summary: This paper proposes a memetic algorithm with fuzzy-based population control (MA-FPC) to solve the joint order batching and picker routing problem (JOBPRP). The algorithm incorporates batch exchange crossover and a two-level local improvement procedure. Experimental results show that MA-FPC outperforms existing algorithms in terms of solution quality.
INFORMATION SCIENCES
(2024)
Article
Engineering, Industrial
Kai Zhang, Chuanhou Gao
Summary: Order picking is the retrieval process of ordered products from storage locations in warehouses. In picker-to-parts systems, multiple customer orders can be assigned to a single picker, requiring routing decisions for the picking tour. Integrated batching and routing have been found to enhance the efficiency of order picking operations compared to solving the problems separately. This study investigates the mathematical programming formulation of this integrated problem and presents improved formulations and computational results for various warehouse configurations.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Management
Ivan Zulj, Hagen Salewski, Dominik Goeke, Michael Schneider
Summary: The study focuses on an AMR-assisted picker-to-parts system in warehouses, aiming to minimize the total tardiness of customer orders by partitioning the warehouse into zones, using AMRs to support order pickers, and optimizing the travel and walking speed ratios between AMRs and order pickers. Increasing the speed ratio is found to be more effective in reducing total tardiness compared to increasing the AMR fleet size.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2022)
Article
Computer Science, Interdisciplinary Applications
Babiche Aerts, Trijntje Cornelissens, Kenneth Soerensen
Summary: The research focuses on the joint order batching and picker routing problem (JOBPRP) in a warehouse environment, using a two-level variable neighborhood search (2level-VNS) metaheuristic algorithm. Comparing different batching criteria, it is concluded that the minimum aisles criterion is more suitable for JOBPRP in warehouse contexts.
COMPUTERS & OPERATIONS RESEARCH
(2021)
Article
Engineering, Industrial
Ufuk Bahceci, Temel Oncan
Summary: In this study, customized Mixed Integer Linear Programming (MILP) formulations were developed for the Order Batching Problem (OBP) for the first time, considering various routing policies. A novel picker routing policy named mixed policy was introduced. Extensive computational experiments were conducted to analyze the impact of different routing and storage policies under various operating conditions, leading to several managerial insights.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2022)
Article
Management
Jun Zhang, Yanfang Zhang, Xueyan Zhang
Summary: Order picking process accounts for more than 55% of total warehouse cost, with the JOBPRP being an effective way to improve efficiency. This study focuses on JOBPRP with category constraint to minimize processing time, utilizing modified seed algorithms and routing methods for better performance. Recommended storage assignment strategies involve separating nonfood and food products into fewer zones for optimal results.
INTERNATIONAL TRANSACTIONS IN OPERATIONAL RESEARCH
(2021)
Review
Engineering, Industrial
Anderson Rogerio Faia Pinto, Marcelo Seido Nagano
Summary: This manuscript reviews the literature on Picking Optimization Methods (POMs) for the Joint Order Batching, Assignment and Sequencing, and Routing Problem (JOBASRP) in Warehouses (WAs). The study finds that metaheuristics and constructive heuristics, particularly Genetic Algorithm, are the most effective techniques for solving the JOBASRP. The main performance indicators for POMs are Total Picking Time, Tardiness in Customer Orders, and Computational Processing Time. The manuscript provides valuable insights for improving the adaptation and performance of POMs in WAs.
JOURNAL OF MANUFACTURING SYSTEMS
(2022)
Article
Engineering, Industrial
Ibrahim Muter, Temel Oncan
Summary: This article focuses on the integration of order batching and picker scheduling decisions, proposing a column generation-based exact algorithm to efficiently solve this challenging optimization problem. Experimental results demonstrate that the proposed algorithms are capable of solving instances with up to 100 orders.
Article
Engineering, Industrial
Sharan Srinivas, Shitao Yu
Summary: This research proposes a collaborative human-robot order-picking system using autonomous mobile robots (AMRs) and human pickers to improve picking efficiency. By discussing order batching, batch assignment and sequencing, and picker-robot routing, an optimization model is developed to minimize the total tardiness of orders. A simulated annealing algorithm is proposed to handle large instances, and the experimental results demonstrate the superior performance of the proposed solution approach compared to existing methods.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2022)
Article
Computer Science, Interdisciplinary Applications
A. Mojaver Tabrizi, Behnam Vahdani, F. Etebari, M. Amiri
Summary: This article discusses the importance of online order batching and picker routing in the context of online shopping. The study proposes a three-stage model to classify products, assign carriers and storage locations, and optimize picker routing to improve efficiency and reduce costs in the system.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Article
Computer Science, Interdisciplinary Applications
Eleonora Bottani, Giorgia Casella, Teresa Murino
Summary: An adapted Harmony Search algorithm is proposed to minimize the travel distance of manual warehouse pickers. Through extensive simulations, it is found that HS algorithm outperforms other algorithms in efficiency and accuracy.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Article
Operations Research & Management Science
Zheng Wang, Wei Xu, Xiangpei Hu, Yong Wang
Summary: This article discusses the advantages of a novel part-to-picker warehouse with robotic mobile racks in picking multi-item e-commerce orders, and the challenges faced by warehouse managers when the new warehouse coexists with an old one in a distribution center. It emphasizes the importance of SKU allocation in terms of cost efficiency and order fulfillment.
ANNALS OF OPERATIONS RESEARCH
(2022)
Article
Management
Arsham Atashi Khoei, Haldun Sural, Mustafa Kemal Tural
Summary: This paper introduces the energy minimizing order picker forklift routing problem (EMFRP) in the context of warehouse operations. It aims to find an energy-efficient route for order picker forklifts to pick a given list of items, which can significantly reduce energy consumption and CO2 emission. The study proposes mathematical formulations, dynamic programming approaches, and heuristic algorithms to solve the EMFRP and achieve high-quality solutions.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2023)
Article
Management
Sajjad Hedayati, Mostafa Setak, Emrah Demir, Tom Van Woensel
Summary: The CGVRP extends the vehicle routing problem by grouping demand points into distinct zones and forming clusters within each zone. Its objective is to determine optimal routes for a fleet of vehicles visiting all zones within each cluster. This paper introduces two mixed-integer linear programming formulations for the CGVRP and proposes a general rule approach for calculating a cost matrix. The results demonstrate the effectiveness of the proposed formulations in solving problems with up to 180 nodes.
IMA JOURNAL OF MANAGEMENT MATHEMATICS
(2023)
Article
Computer Science, Interdisciplinary Applications
Mustafa Egemen Taner, Osman Kulak, Mehmet Ulas Koyuncuoglu
COMPUTERS & INDUSTRIAL ENGINEERING
(2014)
Article
Statistics & Probability
Muhammet Burak Kilic, Yusuf Sahin, Melih Burak Koca
Summary: This paper introduces a method for parameter estimation based on genetic algorithm and expectation-maximization algorithm for estimating parameters of a mixture of Weibull distributions. Through simulation studies and real data examples, it is demonstrated that this method is more efficient compared to other traditional techniques.
COMPUTATIONAL STATISTICS
(2021)
Article
Engineering, Civil
Michael G. Kay, Kenan Karagul, Yusuf Sahin, Gurhan Gunduz
Summary: Companies prefer full truckload option for long-distance transport, while shipment consolidation provides a cost-effective solution by combining shipments into a single truckload.
TRANSPORTATION RESEARCH RECORD
(2022)
Article
Computer Science, Information Systems
Sezai Tokat, Kenan Karagul, Yusuf Sahin, Erdal Aydemir
Summary: Performance evaluations are crucial in assessing a company's strategy, especially in terms of warehouse efficiency and productivity. This study explores the use of artificial intelligence-assisted key performance indicators to enhance warehouse loading performance and analyze different scenarios.
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES
(2022)
Article
Economics
Gokhan Yilmaz, Yusuf Sahin
Summary: The marble blocks extracted from quarries are cut into slabs, which are then used to obtain marble tiles. Each block has a different cutting plan based on customer demands. An integer linear programming model is proposed to maximize the utilization rate of marble blocks, which was successfully used in a real marble factory with a waste rate of 15.73%.
JOURNAL OF MEHMET AKIF ERSOY UNIVERSITY ECONOMICS AND ADMINISTRATIVE SCIENCES FACULTY
(2023)
Article
Computer Science, Information Systems
Yusuf Sahin, Erdal Aydemir
Summary: This paper presents a comprehensive solution approach for the CNC machine tool selection problem faced by manufacturing companies under competitive market conditions. By determining evaluation criteria and using multiple ranking methods, effective alternative decision-making solutions are obtained.
Article
Education & Educational Research
Kenan Karagul, Yusuf Sahin, Necdet Guner, Aykut Oral
EURASIAN JOURNAL OF EDUCATIONAL RESEARCH
(2020)
Article
Mathematics, Interdisciplinary Applications
Erdal Aydemir, Yusuf Sahin
GREY SYSTEMS-THEORY AND APPLICATION
(2019)
Article
Computer Science, Artificial Intelligence
Melih Burak Koca, Muhammet Burak Kilic, Yusuf Sahin
TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES
(2019)
Article
Economics
Yusuf Sahin, Erdal Aydemir
ESKISEHIR OSMANGAZI UNIVERSITESI IIBF DERGISI-ESKISEHIR OSMANGAZI UNIVERSITY JOURNAL OF ECONOMICS AND ADMINISTRATIVE SCIENCES
(2019)
Article
Engineering, Multidisciplinary
Yusuf Sahin, Kenan Karagul
PAMUKKALE UNIVERSITY JOURNAL OF ENGINEERING SCIENCES-PAMUKKALE UNIVERSITESI MUHENDISLIK BILIMLERI DERGISI
(2019)
Article
Education & Educational Research
Atalay Caglar, Ferda Esin Gulel, Oncu Yanmaz Arpaci, Mustafa Egemen Taner, Diler Asian
PAMUKKALE UNIVERSITESI EGITIM FAKULTESI DERGISI-PAMUKKALE UNIVERSITY JOURNAL OF EDUCATION
(2018)
Article
Transportation
Osman Kulak, Atakan Genc, Mustafa Egemen Taner
JOURNAL OF AIR TRANSPORT MANAGEMENT
(2018)