Article
Engineering, Industrial
Tadeusz Sawik
Summary: “This paper presents a novel quantitative approach and stochastic quadratic optimisation model to maintain supply chain viability under the ripple effect. Instead of viability kernel commonly used in the viability theory, this paper establishes the boundaries on acceptable production states for which the production can be continued under the ripple effect, with no severe losses. The findings indicate that for the extreme values of the weight factor, the viable production trajectory is inclined toward the corresponding boundary trajectory and remains in-between the two boundaries, when both objectives are equally important. Keeping production trajectory in-between the two boundaries makes the supply chain more resilient to disruption risks, while the supply chain resilience diminishes as the production trajectory approaches a boundary trajectory. Then a more severe disruption may push the production outside the viability region and cause greater losses.”
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Engineering, Industrial
Seyedmohsen Hosseini, Dmitry Ivanov
Summary: The study introduces a method of modeling and quantifying supply chain disruption impacts in the pandemic using a multi-layer Bayesian network model, combining resilience and viability perspectives to explicitly account for pandemic settings. The research results can serve as a decision-support tool for predicting and better understanding the pandemic impacts on supply chain performance.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2022)
Article
Computer Science, Interdisciplinary Applications
Ming Liu, Hao Tang, Feng Chu, Yueyu Ding, Feifeng Zheng, Chengbin Chu
Summary: This study focuses on the disruption risk assessment for multi-echelon supply chains. A robust risk estimation model based on dynamic Bayesian networks and a nonconvex nonlinear programming model is proposed to find near-optimal solutions. Experimental results show the effectiveness of the proposed method.
COMPUTERS & OPERATIONS RESEARCH
(2024)
Editorial Material
Engineering, Industrial
Alexandre Dolgui, Dmitry Ivanov
Summary: The ripple effect is a specific area in supply chains that has a strong impact on supply chain resilience. Research shows how disruptive events spread through the supply chain and affect its resilience and performance. In recent years, research on ripple effect management, modeling, and assessment has gained significant interest.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2021)
Article
Computer Science, Interdisciplinary Applications
Farhad Habibi, Ripon Kumar Chakrabortty, Alireza Abbasi
Summary: In the face of disruptions in global supply chains, a comprehensive framework for evaluating supply chain resilience is crucial. Existing techniques have limitations and fail to consider the ripple effect, resulting in biased assessments. This study proposes a comprehensive evaluation scheme that introduces six metrics to assess different capacities of resilience and validates its applicability on real-world supply chain networks.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Article
Management
Ming Liu, Yueyu Ding, Feng Chu, Alexandre Dolgui, Feifeng Zheng
Summary: This paper investigates a problem of improving supply chain resilience and viability under severe disruptive events, where only the probability intervals of supply chain partners' states are known. A new robust optimization model combining Causal Bayesian Network and Do-calculus is proposed, and an efficient problem-specific branch-and-bound algorithm is used to solve the problem.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2023)
Article
Engineering, Industrial
Tadeusz Sawik, Bartosz Sawik
Summary: This paper applies stochastic optimisation of CVaR to maintain risk-averse viability and improve resilience of a supply chain under propagated disruptions. Two stochastic optimisation models are developed with conflicting objectives, and a stochastic mixed integer quadratic programming model is used to select a risk-averse viable production trajectory. The proposed approach is applied to smartphone manufacturing, and the findings show that more risk-aversive decision-making leads to a larger viability space and higher resilience of the supply chain. Single-objective decision-making may reduce supply chain viability.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Management
Tadeusz Sawik
Summary: This paper presents a stochastic mixed integer programming model for optimizing supply chain reshoring under the ripple effect from a foreign disruption source region. The proposed approach integrates strategic reshoring and operational scheduling, allowing for evaluation of the operational impact. Results from computational experiments in the smartphone industry indicate the reliance on government subsidies and the potential benefits of reshoring for meeting domestic market demand and mitigating the ripple effect. However, for risk-averse decision-making, reshoring is not selected if it cannot reduce worst-case costs and lost sales.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2023)
Article
Engineering, Industrial
Ming Liu, Tao Lin, Feng Chu, Yueyu Ding, Feifeng Zheng, Chengbin Chu
Summary: In practice, supplier actions are taken to reduce the impact of disruption propagation and ensure material flow continuity. The selection of appropriate supplier actions to minimize disruption risk is of interest. This study investigates a new problem in supply chain management, considering supplier actions, and proposes an integrated approach to address it efficiently.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2023)
Article
Engineering, Industrial
Dmitry Ivanov, Alexandre Dolgui, Jennifer V. Blackhurst, Tsan-Ming Choi
Summary: The COVID-19 pandemic has led to the emergence of new research areas in supply chain resilience, including viability. Viability extends the understanding of resilience from performance-based assessment to the survivability of supply chains and ecosystems during both short-term disruptions and long-term crises. This editorial paper reviews the existing literature on supply chain viability, identifies seven major pillars of supply chain viability theory, and suggests future research directions.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Engineering, Chemical
Oluwadare Badejo, Marianthi Ierapetritou
Summary: In this study, a two-stage stochastic programming model is proposed to address a four-echelon supply chain problem with disruptions at nodes, transportation modes, and operational uncertainties in uncertain demands. The first stage decisions include supplier choice, capacity levels, inventory levels, transportation mode selection, and shipment decisions for a certain period. The second stage anticipates the cost of meeting future demands based on the first stage decision. Comparison with a multi-period deterministic model shows that the stochastic model provides a better first stage decision against future demand. This study demonstrates the managerial viability of the proposed model in decision making for supply chain networks considering disruptions and operational uncertainties.
Article
Management
D. G. Mogale, Xun Wang, Emrah Demir, Vasco Sanchez Rodrigues
Summary: This study aims to model and quantitatively analyze a range of SC disruption risks affecting a UK online retailer in response to the increased vulnerability caused by globalization, competitiveness, and uncertainties. The study found that the retailer experienced multiple disruption risks, such as demand and supply shocks, facility closures, and disruption propagation simultaneously in 2020. It also investigated the response of UK retailers to the first and second waves of the pandemic and the impact on multiple products.
OPERATIONS MANAGEMENT RESEARCH
(2023)
Article
Operations Research & Management Science
Dmitry Ivanov
Summary: The COVID-19 pandemic caused havoc on supply chains, highlighting the importance of management during and after the pandemic. Unawareness of after-shock risks can lead to destabilized production-inventory dynamics and increased costs for supply chains.
ANNALS OF OPERATIONS RESEARCH
(2021)
Article
Computer Science, Interdisciplinary Applications
Brendan Ruskey, Eric Rosenberg
Summary: In this article, we propose an approach to minimize expected unmet demand in a supply chain using a Bayesian network. We consider node upgrades to reduce the probability of node failure and formulate the problem as a linear binary integer program. Unlike previous formulations, our model allows for flexible conditional probability tables and multiple types of upgrades. We present computational results and discuss the application to a larger food supply chain. We also introduce a preprocessing method to reduce the number of constraints and evaluate the runtime savings achieved.
COMPUTERS & INDUSTRIAL ENGINEERING
(2022)
Article
Management
Devesh Kumar, Gunjan Soni, Rohit Joshi, Vipul Jain, Amrik Sohal
Summary: In recent years, supply chains have been focusing on reconfiguring their networks to increase profitability. However, the COVID-19 pandemic has disrupted global supply chains, leading to supplier shortages and manufacturing disruptions. Past natural disasters have taught organizations to take precautions and develop risk mitigation strategies, and the COVID-19 outbreak highlights the importance of redefining viability strategies. The study demonstrates the modeling of viability in an automobile supply chain during the COVID-19 pandemic, considering sustainability and reconfigurability.
OPERATIONS MANAGEMENT RESEARCH
(2022)
Article
Computer Science, Interdisciplinary Applications
Arsalan Yousefloo, Reza Babazadeh, Mehrdad Mohammadi, Amir Pirayesh, Alexandre Dolgui
Summary: This paper proposes a multi-objective scenario-based robust stochastic optimization model for designing a sustainable Municipal Solid Waste (MSW) management network. The model considers the dynamic factors influencing MSW management network and integrates sustainability indicators to achieve a balance between quantitative and qualitative evaluation. Additionally, the model investigates waste treatment technologies and emphasizes the importance of fuel consumption on transportation costs and CO2 emissions.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Article
Computer Science, Interdisciplinary Applications
Paula Metzker, Simon Thevenin, Yossiri Adulyasak, Alexandre Dolgui
Summary: This paper addresses the lot-sizing problem under yield uncertainty using a robust optimization methodology. A multi-period, single-item lot-sizing problem with backorder and yield uncertainty is proposed and a robust model is formulated under a budgeted uncertainty set. The structure of the optimal lot-sizing solution is analyzed and optimal robust policies are derived. Computational experiments demonstrate the robustness and effectiveness of the proposed model, showing its ability to immunize the system against uncertainty and balance costs better compared to other models.
COMPUTERS & OPERATIONS RESEARCH
(2023)
Article
Operations Research & Management Science
Yunqiang Yin, Xiaochang Liu, Feng Chu, Dujuan Wang
Summary: This study considers the use of electric vehicles (EVs) in home health care routing and scheduling to minimize costs. A synergistic-transport mode is introduced, where care-workers can use other modes of transportation, such as walking, when EVs are recharging. A branch-and-price-and-cut algorithm is developed to solve the problem, incorporating a bidirectional labelling algorithm and heuristics. The results show significant cost savings and efficient solution for large-scale instances.
ANNALS OF OPERATIONS RESEARCH
(2023)
Article
Engineering, Industrial
Sobhan Razm, Nadjib Brahimi, Ramzi Hammami, Alexandre Dolgui
Summary: In this study, a production planning problem for a biorefinery is modeled and solved, considering the production and storage of bioenergy and biofuel from different types of biomass. The impact of biomass deterioration on storage decisions is analyzed. The results show that perishability can lead to profit losses, but there is a threshold above which perishability does not have any longer impact on the profit. Storage and transformation of biofuel can increase profit and smooth production. The model provides guidelines on setting a maximum age for biomass to enhance quality and reduce health risks.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2023)
Article
Engineering, Industrial
Dmitry Ivanov, Alexandre Dolgui, Jennifer V. Blackhurst, Tsan-Ming Choi
Summary: The COVID-19 pandemic has led to the emergence of new research areas in supply chain resilience, including viability. Viability extends the understanding of resilience from performance-based assessment to the survivability of supply chains and ecosystems during both short-term disruptions and long-term crises. This editorial paper reviews the existing literature on supply chain viability, identifies seven major pillars of supply chain viability theory, and suggests future research directions.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Engineering, Industrial
Xinyue Wang, Tao Ren, Danyu Bai, Feng Chu, Yaodong Yu, Fanchun Meng, Chin-Chia Wu
Summary: Cloud computing is widely used in industries for its technological advancement, cost reduction, and applicability. This paper proposes a multi-agent flow-shop scheduling (MAFS) problem to abstract the cloud computing system, aiming to minimize the total completion time of multiple agents with a given bound for maximum lateness. To solve this complex problem, a branch and bound algorithm combined with pruning rules and lower bounds is proposed. The problem is further generalized to a bi-scenario version and solved by a bi-population cooperative co-evolutionary (BCCE) algorithm. Experimental results support the effectiveness of the proposed algorithms, with industrial data from the China Earthquake Network Centre confirming the superiority of the BCCE algorithm. Overall, the MAFS model and the proposed algorithms enhance user experience and ensure revenue.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Engineering, Industrial
Behdin Vahedi-Nouri, Reza Tavakkoli-Moghaddam, Zdenek Hanzalek, Alexandre Dolgui
Summary: This paper explores an integrated production scheduling and workforce planning problem in a Reconfigurable Manufacturing System (RMS) using reconfigurable machines and human-robot collaboration. A new Mixed-Integer Linear Programming (MILP) model and an efficient Constraint Programming (CP) model are developed to solve the problem. Computational experiments show the superiority of the CP model over the MILP model in smaller instances and its ability to find high-quality solutions for larger instances within a reasonable computation time. It provides recommendations for managers dealing with this complex problem.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Engineering, Industrial
David Tremblet, Abdelkrim R. Yelles-Chaouche, Evgeny Gurevsky, Nadjib Brahimi, Alexandre Dolgui
Summary: This paper focuses on the multi-model assembly line balancing problem in a reconfigurable environment. The objective is to design a line configuration for each product while minimizing the maximum number of task reassignments. A mixed-integer linear program is formulated to solve this NP-hard problem. Two heuristics, a constructive one and a MILP-based one, are developed for larger instances. Experimental results demonstrate the superiority of the Halt-and-Fix heuristic in terms of solution quality and CPU time compared to the other approaches.
JOURNAL OF MANUFACTURING SYSTEMS
(2023)
Article
Engineering, Industrial
Yipei Zhang, Feng Chu, Ada Che, Yantong Li
Summary: This study focuses on the closed-loop inventory routing problem for perishable food packed by multi-type returnable transport items and proposes an integer linear programming and kernel search heuristic to solve the problem. Valuable managerial insights are obtained through a real case study and extensive sensitivity analysis of parameters.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Engineering, Industrial
Alexandre Dolgui, Dmitry Ivanov
Summary: This study aims to understand the impact of the metaverse on supply chain and operations management (SCOM) and proposes a framework for metaverse SCOM. The development of the metaverse could result in the co-existence of physical SCOM, metaverse SCOM, and SCOM for coordination of the physical and metaverse worlds. New research areas and performance measures can emerge in the field of metaverse SCOM.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Engineering, Industrial
Marzieh Khakifirooz, Michel Fathi, Alexandre Dolgui, Panos M. Pardalos
Summary: According to the research of Dolgui and Proth, the advancement of tactical levels in production systems has resulted in the disappearance of static scheduling and the emergence of dynamic scheduling. The challenges in the supply chain paradigm have also greatly impacted the organization of production systems. This paper reviews the evolving trends in light of J.M. Proth's predictions and advice within the aforementioned domains, emphasizing the importance of real-time scheduling in production systems.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Engineering, Industrial
Olga Battaia, Alexandre Dolgui, Nikolai Guschinsky
Summary: This study addresses the problem of equipment selection and line balancing in machining systems design. A novel mathematical model and a heuristic algorithm are proposed for an approximate solution. The experimental results demonstrate the effectiveness of the developed methods in solving large-scale industrial problems.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
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
Automation & Control Systems
Xinyue Wang, Tao Ren, Danyu Bai, Feng Chu, Xinyu Lu, Zedong Weng, Jiang Li, Jie Liang
Summary: This article investigates the HFS problem with learning effects and release dates from a practical application perspective. It proposes a dispatching rule-based heuristic for large-scale instances, a branch-and-bound algorithm for small-scale instances, and a hybrid shuffled frog-leaping algorithm for medium-scale instances. Experimental results demonstrate the superiority of the developed algorithms.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Computer Science, Interdisciplinary Applications
Ming Liu, Hao Tang, Feng Chu, Yueyu Ding, Feifeng Zheng, Chengbin Chu
Summary: This study focuses on the disruption risk assessment for multi-echelon supply chains. A robust risk estimation model based on dynamic Bayesian networks and a nonconvex nonlinear programming model is proposed to find near-optimal solutions. Experimental results show the effectiveness of the proposed method.
COMPUTERS & OPERATIONS RESEARCH
(2024)
Article
Management
Hengyu Liu, Kai Zheng
Summary: Since August 2018, African swine fever (ASF) has caused over one million pig deaths in China and led to a surge in pork prices. To address this issue, the Chinese government has implemented two farm subsidies: the compulsory culling subsidy (CCS) and the large-scale breeding subsidy (LBS). Through a game-theoretic model, the study explores the optimal design of these subsidy programs and their impacts on different stakeholders.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2024)
Article
Management
Reza Azad Gholami, Leif Kristoffer Sandal, Jan Uboe
Summary: This paper investigates a decentralized supply channel where a manufacturer and a retailer compete in a multi-period discrete time setting, addressing uncertain demand through dynamic channel optimization. The paper proposes solution algorithms and theorems that highlight the benefits of postponement strategies for the follower and potential harm for the manufacturer in a decentralized channel.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2024)
Article
Management
Anne G. Balter, Ki Wai Chau, Nikolaus Schweizer
Summary: This study examines whether the threshold parameter in the Omega ratio represents risk aversion by analyzing the asymptotic expansions for risk premia. The results suggest that the threshold in the Omega ratio represents risk aversion when the variance of the additional risk decreases with the background risk and when the density of the background risk is log-concave. Comparisons with expected utility criteria indicate that the conditions for the Omega threshold to represent risk aversion are comparable to those for exponential utility functions.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2024)
Article
Management
Baozhuang Niu, Fengfeng Xie, Lei Chen
Summary: This paper examines the strategic sourcing decisions of a local brand (BOP) when purchasing remanufactured components from a local supplier (LSP). The study finds that the BOP tends to decrease its purchasing orders from the LSP when the probability of overseas supply disruption is high, while the LSP is willing to sell components to the BOP when the probability is in a moderate range.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2024)
Article
Management
Chiang Kao
Summary: This study develops a model to calculate the maximum SBM efficiency for general network production systems, and applies it to a garment manufacturing company. The results show that the sewing operation contributes more to the system efficiency than the cutting operation does.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2024)
Article
Management
Baozhuang Niu, Jiayun Liu, Jianhua Zhang, Kanglin Chen
Summary: This study examines a brand's decision on reselling through a platform by using game-theoretical analysis and big data validation based on transaction-level data from JD.com. The study finds that the platform's channel advantage and high logistics service level encourage brands to choose the reselling mode, and the impact of the platform's private label competition is non-monotonic.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2024)
Article
Management
Ali Fereydooni, Sasan Barak, Seyed Mehrzad Asaad Sajadi
Summary: This study develops an online portfolio selection strategy that considers Environmental, Social, and Governance factors in addition to return and risk. The results indicate the superiority of the approach that considers Environmental, Social, and Governance factors in terms of profit, volatility, and the highest deflated Sharpe ratio.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2024)
Article
Management
Sally Giuseppe Arcidiacono, Salvatore Corrente, Salvatore Greco
Summary: This paper introduces a method to handle multiple compatible value functions in multi-criteria decision making by building a probability distribution. Stochastic multicriteria acceptability analysis provides statistical information based on the decision maker's preferences. Extensive simulations and sensitivity analysis have been conducted to demonstrate the superiority of the proposed method.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2024)
Article
Management
Junlin Chen, Zewu Jiang, Xiaobo Zhao, Wanshan Zhu, Jinxing Xie
Summary: In this study, we investigate a supply chain system consisting of a retailer and a supplier. We examine the threshold problem in contract design and take into account the risk preference of the retailer and the fairness concern of the supplier. The experiment shows that the behavior of the retailer affects the threshold of the optimal contract design, while the behavior of the supplier only affects the optimal wholesale price. These findings suggest that the behavior of retailers and suppliers play a crucial role in the mechanism design of supply chains.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2024)
Article
Management
Shuxia Peng, Bo Li, Wei Zheng
Summary: This study examines the impact of consumers' valuation updating on optimal pricing decisions and market structure in a competitive software market. The results show that with consumers' valuation updating, the incumbent can maximize profits through market segmentation, dominance, or entry deterrence strategies, and is willing to share the market with the entrant, achieving a win-win situation.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2024)
Article
Management
Victor Gimenez, Diego Prior, Claudio Thieme, Emili Tortosa-Ausina
Summary: This study proposes a nonparametric activity analysis methodology to assess the effectiveness of pandemic management in 61 countries nine months into the COVID-19 pandemic. The results show that effectiveness is strongly influenced by socioeconomic and cultural factors and reveal three main groups of countries based on their management level. This highlights the importance of operations research methods in accurately assessing pandemic management.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2024)
Article
Management
Narges Sereshti, Yossiri Adulyasak, Raf Jans
Summary: This paper investigates the stochastic multi-level lot sizing problem with a service level and explores the value of adding flexibility in such context. By modeling the problem as a two-stage stochastic program with uncertain demand and considering different demand scenarios, the study shows that adding flexibility to the system can result in cost savings, even with a small degree of flexibility.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2024)
Article
Management
Jafar Chaab, Georges Zaccour
Summary: This paper examines the pricing of a new product in the presence of sophisticated consumer behaviors. The study finds that forward-looking consumer behavior can either strengthen or weaken the effectiveness of a penetration pricing strategy, while the superiority of committed pricing in terms of firm's profit heavily depends on consumer behaviors.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2024)
Article
Management
Amelia Bilbao-Terol, Celia Bilbao-Terol
Summary: This paper presents a methodology that combines the hedonic pricing method and the Choquet integral for modelling the hotel selection process. This hybrid technique takes into account both market valuation and the importance of criteria, and holds potential benefits.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2024)
Article
Management
Hui Li, Dongdong Wu
Summary: This study aims to investigate the impact of scale effects from restructuring on performance in tourism firms, and examine the influence of investor attention on restructuring performance. The findings reveal that restructuring activities can enhance scale effects, but the benefits decrease over time, and investor attention online also plays a role in determining restructuring performance.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2024)
