Article
Economics
Esma Birisci, Ronald G. McGarvey
Summary: This study explores production planning in all-you-care-to-eat food service operations by considering forecast uncertainty and deriving strategies to minimize food waste. The results provide insights for food service operators to modify production levels and manage the tradeoff between demand shortfall and food waste.
SOCIO-ECONOMIC PLANNING SCIENCES
(2022)
Article
Multidisciplinary Sciences
Peter Nga Assi, Effanga Okon Effanga
Summary: This study proposes a Dynamic Programming approach for optimal recruitment and promotion policies for a two-grade system. By linking manpower planning with dynamic decision-making, a multistage decision problem is formed, which requires sequential decision-making at different levels and points in time and space.
Review
Engineering, Industrial
Yijie Zhao, Kai Qi, Albert P. C. Chan, Yat Hung Chiang, Ming Fung Francis Siu
Summary: The research trend on manpower prediction models in the construction industry is increasing, with Hong Kong being the region with the most published papers. Different forecasting methods have varying requirements for historical data quality, with most methods not suitable for sudden changes in the labor market. Construction output is identified as the economic indicator with the most significant impact on the forecasting model.
ENGINEERING CONSTRUCTION AND ARCHITECTURAL MANAGEMENT
(2022)
Article
Engineering, Manufacturing
Marshall Fisher, Ananth Raman
Summary: This study reviews papers published in POM over a thirty-year period, which focus on retail operations issues and adopt an empirical approach. The papers cover a wide range of topics, including traditional ones such as forecasting and inventory planning, as well as new technologies like RFID and e-commerce, and strategic issues related to the link between retailing and stock market performance.
PRODUCTION AND OPERATIONS MANAGEMENT
(2022)
Article
Engineering, Industrial
Milad Elyasi, Basak Altan, Ali Ekici, Okan Orsan Ozener, Ihsan Yanikoglu, Alexandre Dolgui
Summary: This paper examines the impact of the global crisis on supply chain resilience and suggests the implementation of flexible/hybrid manufacturing systems as a viable strategy. Using Vestel Electronics as a case study, the research proposes a flexible/hybrid manufacturing production setup to address uncertain demand. By employing a scenario-based approach and a heuristic algorithm based on column generation, the optimization model demonstrates effective and cost-efficient solutions.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Thermodynamics
Dongyan Fan, Hai Sun, Jun Yao, Kai Zhang, Xia Yan, Zhixue Sun
Summary: Accurate and efficient prediction of well production is essential for extending a well's life cycle and improving reservoir recovery. The hybrid model proposed in this study, integrating linear and nonlinear models while considering the impact of manual operations, outperforms individual ARIMA and LSTM models, especially when production is affected by frequent manual operations.
Article
Engineering, Industrial
Vahid Babaveisi, Ebrahim Teimoury, Mohammad Reza Gholamian, Bahman Rostami-Tabar
Summary: Efficient resource management methods are crucial for spare parts in equipment maintenance and repair. Forecasting plays a critical role in planning, especially when there is uncertainty in demand. However, most existing studies focus solely on forecasting models for spare parts with intermittent demand, without sufficient investigation on integrating planning and forecasting models. This paper examines the interaction between two models to optimize planning and forecasting decisions, preventing sub-optimality. The proposed mathematical models include a planning model and a forecasting model using Support Vector Machine (SVM). Empirical investigations from an oil company show that integrating decisions and performing demand estimation using the piecewise method optimizes cost, improves forecasting accuracy, and enhances planning performance.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Computer Science, Interdisciplinary Applications
Yuya Fujita, Kazuhiro Izui, Shinji Nishiwaki, Zhe Zhang, Yong Yin
Summary: The seru production system, derived from Japanese production practices, is a new type of manufacturing system that can achieve high efficiency, flexibility, and responsiveness simultaneously. This paper proposes an optimization method for multi-product seru production systems under demand uncertainty, utilizing Monte Carlo technique and bi-level mixed-integer linear programming to handle such uncertainty in worker and production quantity allocation. The effectiveness of the proposed method is demonstrated through numerical problems.
COMPUTERS & INDUSTRIAL ENGINEERING
(2022)
Review
Engineering, Industrial
Liping Zhou, Zhibin Jiang, Na Geng, Yimeng Niu, Feng Cui, Kefei Liu, Nanshan Qi
Summary: The article introduces the characteristics required for intelligent manufacturing production and operations management, and analyzes the current status, challenges, and future directions of related research through literature review, focusing on five research themes including value creation mechanisms, resource configuration, production planning, scheduling, and logistics.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2022)
Article
Engineering, Chemical
Marcela Malindzakova, Patrik Garaj, Jarmila Trpcevska, Dusan Malindzak
Summary: This article presents a systematic framework that combines the ABC method and the MRP planning method in Lean management. The benefits of implementing this combination are demonstrated through a case study, showing significant reduction in changeover downtimes and financial savings.
Article
Management
Shuang He, Jian Zhang, Juliang Zhang, T. C. E. Cheng
Summary: This article studies the production/inventory competition problem between two manufacturers using the co-production system. It investigates various scenarios such as single-period, multi-period, correlated demands, and capacitated manufacturers. The study proves the existence and uniqueness of Nash equilibrium strategies, and provides managerial insights.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2022)
Article
Integrative & Complementary Medicine
Emmanuel Boselli, Jeremy Cuna, Franck Bernard, Laurent Delaunay, Claude Virot
Summary: Participation in a medical hypnosis training program was found to reduce levels of burnout among healthcare providers, including improvements in emotional exhaustion, depersonalization, and personal accomplishment. Physicians had higher levels of burnout compared to caregivers before training, but showed improvement after participating in the program.
COMPLEMENTARY THERAPIES IN CLINICAL PRACTICE
(2021)
Article
Engineering, Industrial
Jingsi Huang, Dongwei Xie, Yunzhe Qiu, Jianxiao Wang, Jie Song
Summary: The emergence of renewable energy microgrids (REM)-supported logistics parks reflects the urgent social requirement for sustainability facing energy crisis and climate change. This paper proposes a novel two-stage stochastic optimization method for the emergency REM capacity planning and dynamic inventory operations problem in a REM-supported cold warehouse. The empirical study based on real data in East China demonstrates the effectiveness of the proposed algorithm, which can reduce operating costs by 9% on average compared to other heuristic policies and improve the resilience of power systems by 23% and inventory systems by 49%.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Engineering, Industrial
Mirko Kaeck, Michael Freitag
Summary: Demand forecasting is crucial for manufacturing companies, but can be challenging due to fluctuating customer demands. This study evaluates the use of local k-nearest neighbor models in demand forecasting, finding them to be a valid alternative with high accuracy and short computation times.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2021)
Article
Engineering, Marine
Ruochen Yang, Jorn Vatn, Ingrid Bouwer Utne
Summary: Compared to conventional marine systems, autonomous marine systems face challenges in maintenance planning and execution due to limited or no crew involvement during a voyage. This study proposes a dynamic maintenance planning method for AMS by considering economical dependencies among components and using a multiphase Markov model to account for stochastic dependencies. A heuristic method is introduced to address the combinatorial challenge. The proposed method is applied to the maintenance planning of a cooling system in an autonomous ship, and its performance is validated against existing methods in various scenarios.
Article
Engineering, Industrial
ManMohan S. Sodhi, Christopher S. Tang, Evan T. Willenson
Summary: The COVID-19 pandemic has put the supply chains for medically critical items and common household goods to the test, particularly in terms of severe shortages of personal protective equipment (PPE) and ventilators in the United States. These shortages have revealed vulnerabilities in the supply chains of essential products during times of crisis, leading to public pressure on corporations to reconsider their supply chains. Drawing from lessons learned during the pandemic, this paper proposes a research agenda and opportunities to develop responsive supply chains to combat future pandemics and major public health emergencies.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Management
Prashant Chintapalli, Christopher S. Tang
Summary: This paper examines the implications of credit-based MSPs in a more general setting, involving two types of farmers and two types of crops. The study finds that strategic farmers can counteract the decisions of myopic farmers and that credit-based MSPs are more effective when the market is dominated by myopic farmers. Additionally, offering MSPs to complementary crops can result in a higher surplus.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2022)
Article
Management
Wei Miao, Yiting Deng, Wei Wang, Yongdong Liu, Christopher S. Tang
Summary: This study examines the causal effects of surge pricing on driver earnings and labor supply in the ride-sharing industry. The findings show that surge pricing leads to an increase in drivers' weekly revenue, but a decrease in their daily revenue. Additionally, surge pricing attracts more part-time drivers into the market and displaces full-time drivers.
JOURNAL OF OPERATIONS MANAGEMENT
(2023)
Article
Engineering, Manufacturing
Musen Kingsley Li, ManMohan S. Sodhi, Christopher S. Tang, Jiayi Joey Yu
Summary: This paper examines the integration of stockpile inventory, backup capacity, and standby capability to meet the surge in demand during disasters. The results show that adding capacity and developing capability can be cost-effective strategies in reducing inventory and overall costs.
PRODUCTION AND OPERATIONS MANAGEMENT
(2023)
Article
Engineering, Industrial
Maryam Lotfi, ManMohan S. Sodhi
Summary: This research proposes a conceptual model of 'resilient agility' and empirically tests it using data from Tier-1 suppliers to auto manufacturers in Iran. The results show significant links between agility, resilience, and performance objectives, providing insights for researchers to build mid-range theory.
PRODUCTION PLANNING & CONTROL
(2022)
Article
Management
Wendy Olsder, Tugce Martagan, Christopher S. Tang
Summary: To improve the availability and accessibility of treatments for rare diseases, governments have introduced subsidy programs, exogenous pricing, and outcome-based payment schemes. Research shows that government subsidies are crucial for attracting new drug development for rare diseases; the exogenous pricing scheme can improve patient welfare but reduces the manufacturer's profit.
MANAGEMENT SCIENCE
(2023)
Article
Management
Vinay Ramani, Debabrata Ghosh, ManMohan S. Sodhi
Summary: This paper examines the start, propagation, and continuation of systemic disruptions following Covid-19, using the semiconductor chip shortage faced by the auto industry as a case study. Through thematic analysis of newspaper articles, the study reveals the interplay of various factors contributing to the prolonged disruption in the auto sector. Additionally, a stylized supply chain planning model is utilized to demonstrate how disruptions propagate to other sectors, causing systemic shortages.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2022)
Article
Engineering, Manufacturing
Thomas Y. Choi, Torbjorn H. Netland, Nada Sanders, ManMohan S. Sodhi, Stephan M. Wagner
Summary: The Covid-19 pandemic and other disruptions have led to criticisms against just-in-time (JIT) practices for operational failures, resulting in calls to adopt just-in-case approach by holding more inventory. The academic community is divided with some arguing that JIT is not resilient while others believe it can still deliver superior performance even during disruptions. Inspired by this debate, the article discusses misconceptions about JIT and presents ways to adapt it for turbulent environments, suggesting that selecting appropriate JIT supply chain segments during disruptions can improve supply chain performance.
PRODUCTION AND OPERATIONS MANAGEMENT
(2023)
Article
Engineering, Manufacturing
Anna Maria Gambaro, Gianluca Fusai, ManMohan S. Sodhi, Caterina May, Chiara Morelli
Summary: We propose a general modular approach to support decision-makers' response in the early stages of a pandemic with resource expansion. The approach uses stochastic epidemic modeling, capacity load modeling, and optimization modeling to allocate resources based on different values of investment. We demonstrate this approach with the onset of the first and second Covid-19 waves in three Italian regions, using available data at that time.
PRODUCTION AND OPERATIONS MANAGEMENT
(2023)
Article
Management
Tyson Browning, Maneesh Kumar, Nada Sanders, ManMohan S. Sodhi, Matthias Thuerer, Guilherme L. Tortorella
Summary: This study proposes an approach to rebuilding supply chains for resilience against systemwide disruptions. The authors focus on innovation in forecasting, supply chain risk management, and product design to enhance supply chain resilience. The study finds that all three areas have evolved in response to the challenges caused by the pandemic, including the shift from statistical forecasting to human-augmented forecasting with visual analytics, the transition from enterprise to supply chain risk management, and the shift from design-for-manufacturability to design-for-adaptability. These approaches must work together to build a resilient supply chain.
INTERNATIONAL JOURNAL OF OPERATIONS & PRODUCTION MANAGEMENT
(2023)
Article
Economics
Kaveri Kala, ManMohan S. Sodhi
Summary: This paper presents an approach to introducing analytics in a low-tech environment using various algorithms and applications. It uses the example of the South Delhi Municipal Corporation (SDMC) in India to demonstrate the implementation and effectiveness of different vehicle routing algorithms for waste collection. The study showcases the efficiency of the existing ward structure in comparison to alternative clusters created with Minimum Spanning Tree (MST) and K-medoids clustering.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2023)
Article
Management
Tobias Croenert, Layla Martin, Stefan Minner, Christopher S. Tang
Summary: When determining store locations, competing retailers need to consider customers' store choices. Incumbent retailers estimate customer attraction parameters using historical data, while new entrants can observe the location structure of incumbents to estimate these parameters. We propose an inverse optimization approach to help new entrants improve their profits by identifying parameter combinations that lead to observed equilibrium solutions.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Engineering, Industrial
Jiaru Bai, Christopher S. Tang
Summary: This study analyzes the equilibrium structure of competing service platforms in a two-sided market and finds that only one platform can sustain and dominate the market. However, under certain conditions, both platforms can be profitable in equilibrium.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2022)
