Article
Engineering, Industrial
Martin Lokkegaard, Christian Alexander Bertram, Niels Henrik Mortensen, Lars Hvam, Anders Haug
Summary: Companies operating with an engineer-to-order strategy face challenges in generating desired profits due to varying product volumes and high levels of customization. This paper presents a method for identifying reference architectures based on profitability, and tests the method in two companies. The findings suggest that applying the method could potentially support more profitable project execution.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Computer Science, Interdisciplinary Applications
Lele Li
Summary: Engineer to order is a highly customized production pattern. This study focuses on a flexible job shop scheduling problem with lot streaming in the discrete intelligent workshop. It proposes an improved hyper-heuristic genetic algorithm and designs problem-oriented components to enhance its performance.
COMPUTERS & INDUSTRIAL ENGINEERING
(2022)
Article
Green & Sustainable Science & Technology
Fernanda Saidelles Bataglin, Daniela Dietz Viana, Carlos Torres Formoso
Summary: This paper investigates the management issues of Engineer-to-order (ETO) building systems during site installation and proposes a set of design principles and prescriptions to support the design and assessment of planning and control systems.
Article
Management
Gur Mosheiov, Daniel Oron, Dvir Shabtay
Summary: This study focuses on single machine scheduling problems with generalized due-dates, examining scenarios like job rejection and machine unavailability. The research proves the NP-hardness of these problems and proposes dynamic programming algorithms. It concludes that scheduling problems under certain conditions remain NP-hard.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2021)
Article
Engineering, Industrial
Hafez Shurrab, Patrik Jonsson, Mats Johansson
Summary: This study identifies key coordination mechanisms in engineer-to-order settings to mitigate the negative impact of complexity on demand-supply balancing. The findings suggest that formalized activity sequences, balanced team compositions, effective task designs, and supportive information systems have a positive effect on the decision-making and problem-solving activities.
PRODUCTION PLANNING & CONTROL
(2022)
Article
Engineering, Industrial
Erlend Alfnes, Jonathan Gosling, Mohamed Naim, Heidi C. Dreyer
Summary: A novel method has been developed to identify factors contributing to uncertainty in shipbuilding first-tier suppliers hindering the delivery of ETO products efficiently. The major challenges faced by ITO systems include failures in understanding customer requirements, providing engineering capacity, and managing interfaces. The study suggests a change program to reduce uncertainty, focusing on process and control considerations before addressing demand and supply-side changes.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2021)
Article
Engineering, Manufacturing
Gur Mosheiov, Daniel Oron, Dvir Shabtay
Summary: We study two NP-hard single-machine scheduling problems with generalized due-dates. In the first problem, the objective is to minimize the maximal absolute lateness, while in the second problem, the goal is to maximize the weighted number of jobs completed exactly at their due-date. Both problems are known to be strongly NP-hard regardless of the number of different due-dates in the instance. Our objective is to examine the tractability of these problems with respect to the number of different due-dates. We show that the problems remain NP-hard even when the number of different due-dates is 2, and they can be solved in pseudo-polynomial time when the value of nu(d) is bounded by a constant. Additionally, we demonstrate that both problems are fixed parameterized tractable when considering the number of different due-dates and the number of different processing times as parameters.
JOURNAL OF SCHEDULING
(2022)
Article
Mathematics, Applied
Byung-Cheon Choi, Kyung Min Kim, Yunhong Min, Myoung-Ju Park
Summary: In this study, we investigate a single-machine scheduling problem where due dates are assigned to job positions rather than specific jobs. By analyzing the impact of the number of large jobs on the computational complexity, we provide some insights. Additionally, we propose an effective heuristic algorithm for the problem without idle time and demonstrate its excellent performance through numerical experiments.
DISCRETE APPLIED MATHEMATICS
(2022)
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
Engineering, Industrial
Hafez Shurrab, Patrik Jonsson, Mats Johansson
Summary: The challenging demand-supply balancing in engineer-to-order (ETO) environments is often attributed to complexity. This study expands the understanding of managing complexity to obtain demand-supply balancing, focusing on the tactical planning logic of the order fulfilment process. An in-depth single case study was conducted, and a tactical-level planning process framework was proposed, incorporating nine key decisions and three crucial activities. The findings contribute to the theoretical discussion of complexity in management practices and provide guidance for practitioners in ETO settings.
PRODUCTION PLANNING & CONTROL
(2022)
Article
Computer Science, Interdisciplinary Applications
Byung-Cheon Choi, Myoung-Ju Park
Summary: The problem is a single-machine scheduling problem where the objective is to minimize the total penalty for the earliness and tardiness of each job. The penalty for earliness increases proportionally to the amount of earliness, while the penalty for tardiness increases based on a step function. The problem is proven to be strongly NP-hard, but can be solved polynomially if there are two types of processing times.
JOURNAL OF COMBINATORIAL OPTIMIZATION
(2021)
Article
Engineering, Industrial
Ewout Reitsma, Anders Haug, Per Hilletofth, Eva Johansson
Summary: The study focuses on the application of 'Engineer for Supply Chain' (EfSC) practice in engineer-to-order manufacturers, as findings from other contexts may not be directly applicable. Through a case study, four dimensions of EfSC are identified, and a holistic four-step process for considering strategic sourcing in NPD is developed.
PRODUCTION PLANNING & CONTROL
(2023)
Article
Engineering, Industrial
Chin-Chia Wu, Danyu Bai, Xingong Zhang, Shuenn-Ren Cheng, Jia-Cheng Lin, Zong-Lin Wu, Win-Chin Lin
Summary: This study focuses on the customer's order scheduling problem on m parallel machines, taking into account uncertainty factors in real production. It introduces scenario-dependent processing times and due dates, aiming to minimize total tardiness across possible scenarios. Several dominant rules, lower bounds, heuristics, and algorithms are proposed for exact and approximate solutions, with computational results reported.
JOURNAL OF MANUFACTURING SYSTEMS
(2021)
Article
Computer Science, Artificial Intelligence
R. Micale, C. M. La Fata, M. Enea, G. La Scalia
Summary: Dynamic production scheduling is a complex process that can become even more complicated due to the arrival of new orders. To address this issue, a mathematical model is proposed in this paper, and its application is illustrated through a real case study.
JOURNAL OF INTELLIGENT MANUFACTURING
(2021)
Article
Operations Research & Management Science
Byung-Cheon Choi, Kyung Min Kim, Yunhong Min, Myoung-Ju Park
Summary: The study examines scheduling problems where due dates are assigned based on job positions, aiming to minimize the weighted number of tardy jobs or total weighted tardiness. Both two-machine flow shop and single-machine cases are considered, with computational complexity established through their relationship with scheduling problems with a common due date.
OPTIMIZATION LETTERS
(2022)
Article
Computer Science, Interdisciplinary Applications
John A. Behrends, John M. Usher
COMPUTERS & INDUSTRIAL ENGINEERING
(2016)
Article
Automation & Control Systems
Michael W. Hester, John M. Usher
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2018)
Article
Computer Science, Interdisciplinary Applications
John M. Usher, Ross McCool, Lesley Strawderman, Daniel W. Carruth, Cindy L. Bethel, David C. May
SIMULATION MODELLING PRACTICE AND THEORY
(2017)
Article
Robotics
David C. May, Kristie J. Holler, Cindy L. Bethel, Lesley Strawderman, Daniel W. Carruth, John M. Usher
INTERNATIONAL JOURNAL OF SOCIAL ROBOTICS
(2017)
Article
Computer Science, Artificial Intelligence
Lesley J. Strawderman, Benjamin Scott Campbell, David C. May, Cindy L. Bethel, John M. Usher, Daniel W. Carruth
IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS
(2018)
Article
Energy & Fuels
Md Abdul Quddus, Omid Shahvari, Mohammad Marufuzzaman, John M. Usher, Raed Jaradat
Article
Computer Science, Artificial Intelligence
Md Abdul Quddus, Mesut Yavuz, John M. Usher, Mohammad Marufuzzaman
EXPERT SYSTEMS WITH APPLICATIONS
(2019)
Article
Engineering, Industrial
Mohannad Kabli, Md Abdul Quddus, Sarah G. Nurre, Mohammad Marufuzzaman, John M. Usher
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2020)
Article
Medicine, Research & Experimental
Douglas Grabenstetter, Ramez Rashid, Jeff Whittle
Summary: Over the past 4 years, the Clinical Translational Science Institute of Southeast Wisconsin (CTSI) has utilized process engineering approaches to identify 27 barriers faced by local researchers and stakeholders in clinical and translational science. These barriers were ranked based on impact, feasibility of intervention, and alignment with CTSI's institutional role, providing a systematic framework for addressing research problems at CTSI institutions.
JOURNAL OF CLINICAL AND TRANSLATIONAL SCIENCE
(2021)
Article
Sociology
Jeannice Louine, David C. May, Daniel W. Carruth, Cindy L. Bethel, Lesley Strawderman, John M. Usher
SOCIOLOGICAL INQUIRY
(2018)
Article
Engineering, Multidisciplinary
John Behrends, John M. Usher
COGENT ENGINEERING
(2017)
Article
Information Science & Library Science
Fadi S. Batarseh, John M. Usher, Joshua J. Daspit
JOURNAL OF KNOWLEDGE MANAGEMENT
(2017)
Article
Engineering, Industrial
Michael W. Hester, John M. Usher
PRODUCTION AND MANUFACTURING RESEARCH-AN OPEN ACCESS JOURNAL
(2017)
Article
Management
Fadi S. Batarseh, John M. Usher, Joshua J. Daspit
INTERNATIONAL JOURNAL OF INNOVATION MANAGEMENT
(2017)
Article
Operations Research & Management Science
Fadi S. Batarseh, Joshua J. Daspit, John M. Usher
INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE AND ENGINEERING MANAGEMENT
(2018)