Article
Management
Matthias Thurer, Mark Stevenson
Summary: This study evaluates the combined performance effect of vehicle assignment, order release, and dispatching rules, showing that assigning a vehicle to the station with the largest outgoing queue leads to the best performance. Additionally, order release has a direct detrimental performance effect in job shops with material handling constraints.
OPERATIONS MANAGEMENT RESEARCH
(2021)
Review
Engineering, Industrial
Kaustav Kundu, Martin J. Land, Alberto Portioli-Staudacher, Jos A. C. Bokhorst
Summary: This study aims to develop the best Order Review and Release (ORR) method for flow shops. The results show that performance in flow shops can be significantly improved by applying the right combination of workload measures, load balancing, and order dispatching.
FLEXIBLE SERVICES AND MANUFACTURING JOURNAL
(2021)
Article
Computer Science, Interdisciplinary Applications
Siqi Qiu, Xinguo Ming, Mohamed Sallak, Jialiang Lu
Summary: This study proposed a joint optimization of production and maintenance in make-to-order manufacturing systems by considering the influence of customer orders on the deterioration process of production machines and modeling different types of dependencies among production machines.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Article
Engineering, Industrial
Matthias Thurer, Lin Ma, Mark Stevenson, Christoph Roser
Summary: Using station utilization to detect bottlenecks yields best performance but high nervousness, while active period is a better choice with good performance and low nervousness. Workload-focused methods are viable alternatives but may fail in certain settings. Inter-departure time detection method performs the worst due to detecting non-bottlenecks and response delay from historical data.
PRODUCTION PLANNING & CONTROL
(2022)
Article
Engineering, Industrial
Hubert Missbauer, Reha Uzsoy
Summary: Production planning and control systems are crucial for the competitiveness of manufacturing firms and their ability to leverage technological advancements. The research on order release function within PPC systems reveals a need for optimization models and further understanding of the dynamic response of production units. There are still unresolved research questions in this area that warrant further exploration.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2022)
Article
Engineering, Industrial
Eungab Kim, Mark P. Van Oyen
Summary: The manufacturing industry today is challenged by the rapid delivery of highly diversified products, requiring a balance between capacity utilization efficiency and order fulfillment speed. This study provides a theoretical basis for coordinating order admission, production sequencing, and production rate control in manufacturing systems, identifying optimal control policies under different criteria.
JOURNAL OF MANUFACTURING SYSTEMS
(2021)
Article
Computer Science, Interdisciplinary Applications
Chuchu Wang, Chaolin Yang, Tao Zhang
Summary: This paper proposes an order planning method for an MTO-MTS (make-to-order/make-to-stock) production system. An integer programming model is built to optimize inventory matching, multi-process production, and outsourcing for both finished and semi-finished product orders. A heuristic algorithm, APSO-SGO, is proposed to solve the NP-hard problem. Numerical experiments using datasets from a steel factory demonstrate the effectiveness of the model and algorithm, and management recommendations for relevant industries are provided.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Article
Engineering, Industrial
Davide Mezzogori, Giovanni Romagnoli, Francesco Zammori
Summary: This study proposed a method that integrates a simple WLC system with a predictive tool to reduce variability in queuing time and make the forecasting approach more useful in industrial applications. Through simulation testing in a 6-machines job-shop controlled with WLC and equipped with the proposed forecasting system, the robustness and quality of the approach were demonstrated.
FLEXIBLE SERVICES AND MANUFACTURING JOURNAL
(2021)
Article
Computer Science, Interdisciplinary Applications
Murat Firat, Julie De Meyere, Tugce Martagan, Laura Genga
Summary: This paper proposes a production planning approach for a job shop type manufacturing company in the electronics sector using a MILP model to dynamically adjust the time horizon for production plans to meet the workload requirements of work centers.
COMPUTERS & OPERATIONS RESEARCH
(2022)
Article
Management
David Bachtenkirch, Stefan Bock
Summary: This study introduces a versatile approach for make-to-order processes, extending existing methods to handle job delivery dates flexibly and consider job release dates and deadlines. The use of a Branch&Bound procedure and randomized adaptive search procedure allows for promising heuristic solutions within tight time constraints.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2022)
Article
Green & Sustainable Science & Technology
Wen Jiang, Lanjun Wu
Summary: This study investigates the flow shop precast component production scheduling problem under a hybrid MTO-MTS environment, develops a hybrid MTO-MTS precast component flow shop production model, and proposes an iterative job insertion algorithm based on whale optimization. The computational evaluation shows that the proposed algorithm effectively optimizes the precast component production.
JOURNAL OF CLEANER PRODUCTION
(2021)
Review
Computer Science, Artificial Intelligence
Fernando Jose Gomez Paredes, Moacir Godinho Filho, Matthias Thurer, Nuno O. Fernandes, Charbel Jose Chiappeta Jabbour
Summary: This paper presents an analysis of comparative studies on production control systems (PCSs) in the make-to-order (MTO) context. The results indicate that the design of control loops is the main factor that differentiates PCS performance, and other important factors include order release mechanism, workload aggregation approach, and workload estimation method used on control loops.
JOURNAL OF INTELLIGENT MANUFACTURING
(2022)
Article
Engineering, Industrial
Marzieh Ghiyasinasab, Nadia Lehoux, Sylvain Menard, Caroline Cloutier
Summary: This paper proposes a production planning method for engineer-to-order systems and tests four optimization models. The study applies the models to a case considering 15 construction projects, providing decision support tools.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2021)
Article
Management
Daniel Filipe Pereira, Jose Fernando Oliveira, Maria Antonia Carravilla
Summary: This study proposes a novel Sales and Operations Planning decision-making framework for companies adopting both MTS and MTO strategies. Based on a real case of an electric cable manufacturer, computational experiments validate the applicability of the proposed methodology. The research offers a practical, supply chain-oriented, and mid-term perspective on the study of operations planning policies in MTS/MTO contexts.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2022)
Article
Computer Science, Interdisciplinary Applications
Zhenzhong Zhang, Chunxiang Guo, Qu Wei, Zhaoxia Guo, Lei Gao
Summary: This study proposes a new multi-objective evolutionary stochastic optimization approach to address a multi-site stochastic order planning problem in make-to-order textile manufacturing supply chains. The approach combines a single-objective-guided multi-objective evolution algorithm with a scenario generation technique, demonstrating its effectiveness in experimental results and the necessity of considering uncertain orders in real-world production planning.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Article
Management
Bart Beemsterboer, Martin Land, Ruud Teunter
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2017)
Reprint
Engineering, Industrial
Bart Beemsterboer, Martin Land, Ruud Teunter, Jos Bokhorst
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2017)
Article
Engineering, Industrial
Oskar P. Roemeling, Martin J. Land, Kees Ahaus, Jannes Slomp, Wouter van den Bijllaardt
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2017)
Article
Engineering, Industrial
Matthias Thurer, Martin J. Land, Mark Stevenson, Lawrence D. Fredendall
PRODUCTION PLANNING & CONTROL
(2017)
Article
Engineering, Industrial
Matthias Thuerer, Mark Stevenson, Martin J. Land, Larry D. Fredendall
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2019)
Article
Management
Jan Eise Fokkema, Martin J. Land, Leandro C. Coelho, Hans Wortmann, George B. Huitema
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2020)
Review
Engineering, Industrial
Kaustav Kundu, Martin J. Land, Alberto Portioli-Staudacher, Jos A. C. Bokhorst
Summary: This study aims to develop the best Order Review and Release (ORR) method for flow shops. The results show that performance in flow shops can be significantly improved by applying the right combination of workload measures, load balancing, and order dispatching.
FLEXIBLE SERVICES AND MANUFACTURING JOURNAL
(2021)
Article
Management
Martin J. Land, Matthias Thurer, Mark Stevenson, Lawrence D. Fredendall, Kirstin Scholten
Summary: Improving flow efficiency is a crucial theme in operations management, but companies often struggle to achieve flow improvements due to a lack of a structured and independent process to identify root causes of issues. Managers tend to rely on single production management concepts to understand flow problems, which can lead to unsuccessful interventions.
JOURNAL OF OPERATIONS MANAGEMENT
(2021)
Article
Engineering, Industrial
Jianjun Liu, Martin J. Land, Jos A. C. Bokhorst, Qingxin Chen
Summary: Assembly job shops are crucial in make-to-order companies, but coordinating the completion times of parts for timely assembly operations is complex. This study refines order pool sequencing rules and develops dynamic dispatching rules to effectively coordinate assembly parts, achieving better coordination results.
FLEXIBLE SERVICES AND MANUFACTURING JOURNAL
(2023)
Article
Management
T. A. Arno Kasper, Martin J. Land, Ruud H. Teunter
Summary: This study proposes a shift towards system state dispatching in the production control literature on high-variety manufacturing. The results show that FOCUS enables a big leap forward in production control performance, significantly reducing the number of orders delivered late and mean tardiness compared to state-of-the-art production control methods.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2023)
Article
Green & Sustainable Science & Technology
Jan Eise Fokkema, Michiel A. J. uit het Broek, Albert H. Schrotenboer, Martin J. Land, Nicky D. Van Foreest
Summary: This article examines the operation of a profit-maximizing renewable energy producer in a rural area with limited capacity. By utilizing strategic hydrogen reserves to address the uncertainties and intermittencies of energy production, the energy producer is able to generate profits while supplying electricity to a self-sufficient local community. The study emphasizes the importance of considering seasonal demand and production patterns, as well as increasing storage capacity, and highlights that a profit-maximizing hydrogen storage operation alone cannot solve grid congestion.
Article
Engineering, Industrial
T. A. Arno Kasper, Martin J. Land, Matthias Thuerer
Summary: When there are multiple capacity sources in the manufacturing process, a 'dual focus mechanism' can be used, allowing each capacity source to have its unique control priority regardless of demand levels. The combination of a 'shift mechanism' and the 'dual focus mechanism' leads to the best average performance, but it results in extreme delays for orders with long process times. However, using only the 'dual focus mechanism' can still achieve competitive average performance and avoid this issue.
PRODUCTION PLANNING & CONTROL
(2023)
Article
Engineering, Industrial
T. A. Arno Kasper, Martin J. Land, Ruud H. Teunter
Summary: Reducing Work-In-Process (WIP) in manufacturing systems has advantages such as predictable throughput times and increased manageability. Various WIP control methods, including CONWIP and Kanban for repetitive manufacturing, and LUMS COR and POLCA for high-variety manufacturing, have been developed. By simultaneously considering release, authorization, and dispatching decisions, the non-hierarchical method DRACO outperforms traditional methods and improves overall manageability.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2023)
Proceedings Paper
Automation & Control Systems
Juliana K. Sagawa, Martin J. Land
Article
Management
Oskar Roemeling, Martin Land, Kees Ahaus
INTERNATIONAL JOURNAL OF OPERATIONS & PRODUCTION MANAGEMENT
(2017)