Table of Contents

• Towards a Concept for Digitalized Yard Logistics - Outlining the Next-Generation FeaturesJo Wessel Strandhagen, Marco Semini, Erlend Alfnes. 3-18 [doi]
• Requirement Analysis and Concept Design of a Smart Mobile Factory for Infrastructure ProjectsPatrick Dallasega, Andrea Revolti, Felix Schulze, Lorenzo Benedetti, Doré de Morsier. 19-33 [doi]
• Management and Emerging Technology in Maritime Logistics: A Lewin Force Field AnalysisAtle M. Christiansen, Kenneth Vidskjold. 34-48 [doi]
• Streamlining the Execution of Maritime Commissioning with a Digital Assistance SystemTim Maximilian Jansen, Oliver Karl, Ahmed Elzalabany, Hermann Lödding. 49-63 [doi]
• Challenges and Opportunities of Software-Based Production Planning and Control for Engineer-to-Order ManufacturingPatrick Bründl, Micha Stoidner, Huong Giang Nguyen, Andreas Baechler, Jörg Franke. 67-79 [doi]
• Towards the Digital Factory Twin in Engineer-to-Order Industries: A Focus on Control Cabinet ManufacturingMicha Stoidner, Patrick Bründl, Huong Giang Nguyen, Andreas Baechler, Jörg Franke. 80-95 [doi]
• Has the Pendulum Swinged Too Far from Just-in-Time to Just-in-Case in the Aftermaths of Covid-19?Jenny Bäckstrand, Andréas Malmstedt. 96-111 [doi]
• Integrating Lean, Agile, Resilient and Green Supply Chain Management in Engineer-to-Order Contexts: Insights from Expert InterviewsAntonio Masi, Margherita Pero. 112-125 [doi]
• Investigating On-Site Production in Construction Using Decoupling ThinkingPetter Haglund, Joakim Wikner, Martin Rudberg. 126-139 [doi]
• Clarifying the Interface Between Construction Supply Chain and Site - A Key to Improved Delivery EfficiencyFarah Naz, Anna Fredriksson. 140-153 [doi]
• Capability Building Blocks for Digital Twin DevelopmentSonika Gogineni, Cansu Tanrikulu, Jörg Brünnhäußer, Kai Lindow, Heiko Witte. 154-168 [doi]
• Underlying Mechanisms for Planning Engineering Capacity and Load in an Engineer-to-Order ContextNils-Erik Ohlson. 169-183 [doi]
• Exploring Challenges in a Low-Volume Product Industrialization Process - A Railway Case StudyVésteinn Sigurjónsson, Jessica Bruch, Anna Granlund. 184-198 [doi]
• Performance Management Collaboration Between Companies Involved in the Industrialised Housebuilding Order Fulfilment ProcessWolfgang Grenzfurtner, Martin Rudberg. 199-212 [doi]
• Industry 4.0 Application in ETO Companies: An Empirical ComparisonFelix Schulze, Patrick Dallasega. 213-228 [doi]
• The Resilience of an ETO Archetype to Demand ShocksYuxuan Zhou 0003, Jonathan Gosling, Mohamed M. Naim, Xun Wang. 229-241 [doi]
• A Location-Routing Problem: Last-Mile Delivery with Drop-Off Facilities for ReturnSungbae Jo, Ilkyeong Moon. 245-256 [doi]
• Cost Evaluation of a (Q, r, K) Inventory Model with Two Demand Classes of Lost Sales and BackordersZengxu Guo, Haoxun Chen. 257-270 [doi]
• Business Models for Electric Vehicle Fixed Charging Station Infrastructure with Commercial and Non-commercial UsesHakan Erdes, Saadettin Erhan Kesen. 271-286 [doi]
• Implementation of a Quality Cost Management Model: Case Study from the Textile Industry SectorBruno Barros, Cristina Rodrigues, Sérgio Dinis T. Sousa, Eusebio P. Nunes. 287-301 [doi]
• Optimal Production Planning of Ice-Food Under Production, Backordering and Renewal ConditionsSyrine Guinoubi, Yasmina Hani, Marwa Hasni, Abderrahmane El Mhamedi. 302-317 [doi]
• Sustainable and Economic Success Factors for Urban Consolidation Centres of Last-Mile Delivery in the NetherlandsPhilip d'Agnolo, Adriana Saraceni. 318-331 [doi]
• Automating Loading and Unloading for Autonomous Transport: Identifying Challenges and Requirements with a Systems ApproachTarun Kumar Agrawal, Robin Hanson, Farook Abdullah Sultan, Mats Ingemar Johansson, Dan Andersson, Gunnar Stefansson, Konstantina Katsela, Michael Browne. 332-345 [doi]
• Optimal Class-Based Storage System with Diagonal MovementsKasuni Weerasinghe, Fabio Sgarbossa, Giulia Fede. 346-359 [doi]
• Algorithms and Models for Automated Replenishment of Store Shelves - Exploratory ResearchAbhinav Majumder, ShiYu Sun, Vittaldas Prabhu. 360-373 [doi]
• A Simulation Optimization Approach to Inventory Optimization in Supply Chain NetworksFarzaneh Mahmoudi, Alireza Eshghi, Mohadese Basirati, Erfan Hassannayebi. 374-384 [doi]
• Design of Reconfigurable Cellular Manufacturing Systems with Alternative RoutingMehmet Uzunosmanoglu, Veronique Limère, Birger Raa. 385-399 [doi]
• Investigating the Sustainable Development of Charging Stations for Plug-in Electric Vehicles: A System Dynamics ApproachMohammad Pourmatin, Amir Fayaz-Heidari, Moein Moeini-Aghtaie, Erfan Hassannayebi, Mohadese Basirati. 400-416 [doi]
• Pricing Strategy of Apparel Supply Chain Considering Traceability Awareness of Consumers Driven by BlockchainWenjie Wang, Jinxia Zheng, Yazhou Liu, Lei Xie. 417-430 [doi]
• Scheduling Algorithm Using Path Relinking in Different Search Paths for Production Process with Crane InterferenceTakashi Tanizaki, Shonosuke Fujiwara, Hideki Katagiri, Takayuki Kataoka. 433-448 [doi]
• Buffer Sizing and Route Scheduling for Reliable Autonomous Vehicle Operations in a Dynamic EnvironmentInkyung Sung, Peter Nielsen. 449-461 [doi]
• Beyond the Lab: Exploring the Socio-Technical Implications of Machine Learning in Biopharmaceutical ManufacturingErik Flores-García, So Hyun Nam, Yongkuk Jeong, Magnus Wiktorsson, Jong Hun Woo. 462-476 [doi]
• A Constraint Programming Model for a Reconfigurable Job Shop Scheduling Problem with Machine AvailabilityZahra Mehdizadeh-Somarin, Reza Tavakkoli-Moghaddam, Mohammad Rohaninejad, Zdenek Hanzálek, Behdin Vahedi Nouri. 477-490 [doi]
• Prediction of Residual Dye Using Machine Learning Algorithms for an Eco-Friendly Dyeing ProcessWhan Lee, Hye-Kyung Choi, Seyed Mohammad Mehdi Sajadieh, Sang Do Noh, Hyun-Sik Son. 491-505 [doi]
• Applying Multi-agent Reinforcement Learning and Graph Neural Networks to Flexible Job Shop Scheduling ProblemSeung Heon Oh, Young In Cho, Jong Hun Woo. 506-519 [doi]
• Enhancing Operations Planning and Scheduling in Dynamic Production Systems by Using CLIPJulia Markert, Matthias Kerzel, Michael Variola, Dominik Saubke, Stephanie von Riegen, Lothar Hotz, Pascal Krenz. 520-534 [doi]
• Data-Driven Analysis and Assignment of Manual Assembly Production LinesChangha Lee, Jongpil Yun, Goo-Young Kim, Junwoo Lim, Sang Do Noh, Yongjin Kim. 535-547 [doi]
• NSGA-II for Solving a Multi-objective, Sustainable and Flexible Job Shop Scheduling ProblemCandice Destouet, Houda Tlahig, Belgacem Bettayeb, Bélahcène Mazari. 548-562 [doi]
• AI Vision Use Case for Digital Twin WIP Tracking in Heavy IndustryJang Won Choi 0002, Sungjae Cho, Binglu Li, Jong Hoon Park. 563-575 [doi]
• An Improved Method of Job Shop Scheduling Considering Reworking and Reprocessing Based on Proactive ApproachEiji Morinaga, Kenta Teramoto, Hidefumi Wakamatsu. 576-590 [doi]
• Optimized Task Planning of Transfer Robots Using Reinforcement LearningJi Whan Park, Sang Do Noh. 591-602 [doi]
• Adaptive Traffic Signal Control for a Mixed Autonomous and Traditional Vehicles by Agent-Based Digital Twin SimulationHarry Lim, Minseop Go, Taekyu Lim, Duck Young Kim. 603-618 [doi]
• Data Preparation for AI-Assisted Video Analysis in Manual Assembly Task: A Step Towards Industry 5.0Yongkuk Jeong, Magnus Wiktorsson, Donggyun Park, Jesper Gans, Linda Svensson. 619-631 [doi]
• Reactive Flexible Job Shop Problem with Stress Level ConsiderationEhsan Yadegari, Damien Lamy, Xavier Delorme. 632-646 [doi]
• Does Regulating Work-In-Process Increase Throughput and Reduce Cycle Times? An Assessment by Lab Scale System ModelsMatthias Thürer, Shan-Shan Li, Can Yang, Ting Qu, George Q. Huang. 649-661 [doi]
• Systems Thinking Approach for Production Process Optimization Based on KPI InterdependenciesHeiner Winkler, Susanne Franke, Felix Franke, Iren Jabs, Daniel Fischer, Matthias Thürer. 662-675 [doi]
• Modeling of a Matrix Production System for Simulation to Predict Material DemandDaniel Ranke, Thomas Bauernhansl. 676-690 [doi]
• Data-Driven Production Logistics: Future Scenario in Two Swedish Companies Based on Discrete Event SimulationMasoud Zafarzadeh, Magnus Wiktorsson, Jannicke Baalsrud Hauge. 691-706 [doi]
• Setup Time Prediction Using Machine Learning Algorithms: A Real-World Case StudyAlberto Locatelli, Manuel Iori, Marco Lippi 0001, Marco Locatelli 0001. 707-721 [doi]
• Simple Analysis of Planning Quality in Production LogisticsTobias Hiller, Lena Osterkamp, Lea Vinke, Patrick Holtsch, Alexander Mütze, Peter Nyhuis. 722-734 [doi]
• Planning and Control of Maritime Commissioning - Planning ConceptNina Köster, Christopher Mundt, Hermann Lödding. 735-749 [doi]
• Requirements Planning in the New Normal: Comparison Between Reorder Point Method and DDMRPBeatrice Marchi, Ivan Ferretti, Simone Zanoni. 750-764 [doi]
• Towards Smart Maintenance and Integrated Production PlanningJulia Pahl, Harald Rødseth, Jan Ola Strandhagen. 765-778 [doi]
• Smart Production Planning and Control; Concept for Improving Planning Quality with Production Feedback DataMina Rahmani, Øyvind A. M. Syversen, Anita Romsdal, Fabio Sgarbossa, Jan Ola Strandhagen. 779-792 [doi]
• Spare Parts Demand Prediction by Using a Random Forest ApproachJoakim Andersson, Evangelos Siminos. 793-804 [doi]
• Artificial Intelligence of Things (AIoT) Strategies for a Smart Sustainable-Resilient Supply ChainHamed Nozari, Reza Tavakkoli-Moghaddam, Mohammad Rohaninejad, Zdenek Hanzálek. 805-816 [doi]
• PPC Layout and Order Net - Visualization for a Rapid PPC Analysis and DesignHans-Hermann Wiendahl. 817-831 [doi]
• Introduction of an Approach for the Identification of Interfaces Between the Factory Planning Process and Quality Management for an Optimized Planning ResultTanya Jahangirkhani, Ninja vom Stein, Peter Nyhuis, Manuel Löwer. 832-843 [doi]
• Production Scheduling Using Production Feedback Data; An Illustrative Case StudyMina Rahmani, Anita Romsdal, Øyvind A. M. Syversen, Fabio Sgarbossa, Jan Ola Strandhagen. 844-858 [doi]