{"title":"Inverse optimization on the evaluations of alternatives in the Promethee II ranking method","authors":"Alexandre Flachs, Yves De Smet","doi":"10.1016/j.omega.2025.103325","DOIUrl":"10.1016/j.omega.2025.103325","url":null,"abstract":"<div><div>In multi-criteria decision aid, one usually distinguishes three main families of methods: aggregating, outranking and interactive approaches. Among the outranking methods, <span>Promethee</span> II allows decision makers to obtain a complete ranking of the alternatives regarding multiple – usually conflicting – criteria. Despite its popularity and the various theoretical contributions that have been made to it, few work has been focused on the influence of the alternatives’ evaluations on the final ranking.</div><div>In this contribution, this issue is addressed by proposing a solution to the following question: given a ranking of the alternatives, what are the minimal modifications required on the evaluations of a given alternative in order to improve its position? A novel exact algorithmic procedure is proposed to answer this question even when multiple criteria are involved. In such cases the solution takes the form of a Pareto optimal front. A proof of the correctness of the algorithm and a complexity analysis are provided. Finally, experimental tests of the method on a real life dataset is discussed along with some indications on how it could be presented to decision makers.</div></div>","PeriodicalId":19529,"journal":{"name":"Omega-international Journal of Management Science","volume":"136 ","pages":"Article 103325"},"PeriodicalIF":6.7,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143760460","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Pull–push strategies under Cournot competition","authors":"Shujie Luan , Weili Xue , Lijun Ma , Tao Li","doi":"10.1016/j.omega.2025.103304","DOIUrl":"10.1016/j.omega.2025.103304","url":null,"abstract":"<div><div>We consider one supplier that decides the production quantity to serve two manufacturers, who contract with the supplier for raw materials and sell their finished products to the same uncertain market under Cournot competition. The manufacturers can either contract with the supplier by push contract or pull contract. We first establish the supplier’s production decision, and the manufacturers’ ordering and selling decisions, given both manufacturers’ contracting strategies, i.e., push contract or pull contract. We characterize the first-mover advantage of a push contract under competition, and find that when a competitor chooses a pull contract, the manufacturer with a push contract will possibly reduce his order quantity even when the supplier reduces supply to his competitor. Then, we investigate manufacturers’ equilibrium contracting strategies, and the supplier’s contracting preference. Interestingly, we find that completely symmetric manufacturers can choose different contracting strategies even when the wholesale prices for both contracts are identical. At last, we numerically characterize how competition influences the value of pull and push contracts. From the perspective of the whole supply chain, we find that a pull contract alone cannot achieve Pareto improvement, and only a mixed contract can possibly achieve Pareto improvement for reasonable wholesale prices.</div></div>","PeriodicalId":19529,"journal":{"name":"Omega-international Journal of Management Science","volume":"136 ","pages":"Article 103304"},"PeriodicalIF":6.7,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143815573","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"On order smoothing interpolating the order-up-to and constant order policies","authors":"Geng Cui , Naoto Imura , Katsuhiro Nishinari , Takahiro Ezaki","doi":"10.1016/j.omega.2025.103326","DOIUrl":"10.1016/j.omega.2025.103326","url":null,"abstract":"<div><div>We investigate order smoothing by interpolating two well-known inventory replenishment policies: the order-up-to policy and the constant order policy, as a means to improve supply chain performance. Order smoothing mitigates the bullwhip effect, reducing the risk of order fluctuations and inventory fluctuations for upstream supply chain echelons. Based on a two-echelon supply chain model, we explore the conditions under which order smoothing becomes desirable compared to situations without order smoothing, focusing on customer demand characteristics and smoothing strength. Our analysis examines both sinusoidal and stochastic responses to provide two distinct yet interrelated perspectives: amplitude in the frequency domain and the time domain. We highlight the significant impact of auto-correlated demand processes, which are prevalent in practice and relevant literature, on the economic benefits of order smoothing. Furthermore, we demonstrate that our proposed policy is an extension of the well-studied proportional order-up-to policy and can outperform it in certain scenarios.</div></div>","PeriodicalId":19529,"journal":{"name":"Omega-international Journal of Management Science","volume":"136 ","pages":"Article 103326"},"PeriodicalIF":6.7,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143760461","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An integrated column generation solution framework for optimal aircrew vacation planning subject to seniority ranking and priority preference satisfaction","authors":"George Kozanidis","doi":"10.1016/j.omega.2025.103324","DOIUrl":"10.1016/j.omega.2025.103324","url":null,"abstract":"<div><div>We consider the vacation planning problem in the context of commercial aviation, which aims to devise optimal vacation periods for a group of crew members, while also ensuring that the efficient operation of the airline remains intact. The problem definition includes two objectives treated lexicographically, the maximization of crew satisfaction with respect to specific vacation preferences (bids) they have expressed in advance, and the minimization of the collective vacation entitlement that remains unassigned. We develop an integrated solution framework for this problem, which consists of two independent phases executed sequentially. The first one (<em>bid award phase</em>) focuses exclusively on crew satisfaction, exploiting an innovative optimization model that examines the approval of each bid individually, according to the distribution logic in effect. Each grant/reject decision is made based on whether bid acceptance retains the feasibility of this model. The second one (<em>auto-allocation phase</em>) employs a column generation solution algorithm which assigns complementary vacation periods to the crew members for maximizing the total number of vacation days assigned combinedly to the group. We report computational results on realistic problem instances with variable characteristics, which demonstrate the behavior of the proposed solution methodology, assess its computational performance, and highlight its effectiveness. These results confirm that it succeeds in identifying robust solutions accommodating the highly variable user requirements of practical airline environments in satisfactory computational times.</div></div>","PeriodicalId":19529,"journal":{"name":"Omega-international Journal of Management Science","volume":"135 ","pages":"Article 103324"},"PeriodicalIF":6.7,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143706263","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Sparse facility location and network design problems","authors":"Gao-Xi Li , Yi Ren , Peiru Yi","doi":"10.1016/j.omega.2025.103319","DOIUrl":"10.1016/j.omega.2025.103319","url":null,"abstract":"<div><div>To further minimize the number of facilities even if it entails additional costs, policymakers often have this preference during facility location decisions. To cater to this preference, we introduce a sparsity-inducing term in this paper. This term generates sparse solutions for both the facility location model and the facility network design model, leading to the proposal of a sparse facility location model and a sparse facility network design model. These two sparse models are formulated as nonlinear mixed-integer programs, featuring objective functions that are non-Lipschitz continuous concerning continuous variables, making them highly challenging to solve. Consequently, we propose a continuous relaxation approach that converts these sparse discrete models into continuous nonlinear programs. We validate the efficacy of both the sparse discrete models and the relaxation method through two classic case studies.</div></div>","PeriodicalId":19529,"journal":{"name":"Omega-international Journal of Management Science","volume":"136 ","pages":"Article 103319"},"PeriodicalIF":6.7,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143739362","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Optimization models and algorithms for sustainable crop planning and rotation: An arc flow formulation and a column generation approach","authors":"Mario Benini, Paolo Detti, Luca Nerozzi","doi":"10.1016/j.omega.2025.103320","DOIUrl":"10.1016/j.omega.2025.103320","url":null,"abstract":"<div><div>Sustainable agriculture is essential for ensuring long-term food security and environmental health, as it addresses key challenges such as resource depletion, biodiversity loss, and climate change. To promote the adoption of sustainable agricultural practices, several initiatives have been introduced, offering economic incentives in exchange for compliance with sustainability policies. However, these new environmental regulations add complexity to long-term crop planning, further increasing the challenges associated with resource management and crop rotation constraints. As a result, farmers require decision-support tools to help them optimize their crop planning strategies while meeting sustainability requirements. In this paper, we present decision models and algorithms designed to assist farmers in solving multi-period crop rotation planning problems with sustainability constraints. In this setting, both the yield and profitability of a crop depend on the sequence of previous crops grown on the same plot of land, and the objective is to maximize farmers’ total profit. To address this challenge, we propose an arc-flow Integer Linear Programming model and a matheuristic algorithm, based on column generation, to efficiently solve the problem. Additionally, we analyze the complexity of the pricing problems and introduce an optimal dynamic programming algorithm for a special case. We evaluate our approach through an extensive experimental study using real-world data from Italian farms and incorporating the sustainability regulations of the European Union’s Common Agricultural Policy. The numerical results demonstrate the effectiveness of our proposed methods in optimizing crop rotation planning while ensuring compliance with sustainability constraints.</div></div>","PeriodicalId":19529,"journal":{"name":"Omega-international Journal of Management Science","volume":"135 ","pages":"Article 103320"},"PeriodicalIF":6.7,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143687863","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Mechanism design for sharing critical medical resources in pandemic","authors":"Nifei Lin , Xin Yun , L. Jeff Hong","doi":"10.1016/j.omega.2025.103318","DOIUrl":"10.1016/j.omega.2025.103318","url":null,"abstract":"<div><div>Maintaining a sufficient national stockpile of critical medical resources and optimizing their strategic allocation across regions are essential for managing public health crises in any country during pandemics. Challenges arise from the unsustainability of stockpiles of critical medical resources and the deep uncertainty surrounding pandemics. This paper redesigns the inventory logic of critical medical resources by proposing a resource-sharing incentive mechanism to alleviate long-term supply chain pressures. Following the concept of risk pooling through inventory sharing, the mechanism encourages local governments to contribute their excess stockpiles to a centralized repository, managed and reallocated by the federal government according to established guidelines. Using the ventilator shortage during COVID-19 as a case study, we develop a model that captures the stochastic nature of pandemic trends over time and design a game model between national and local governments. Assuming specific pandemic trends, we demonstrate that the proposed incentive mechanism makes sharing ventilators a dominant strategy, significantly reducing total medical resource deficits. Furthermore, we validate the mechanism’s efficiency through simulations of more complex pandemic scenarios. Both theoretical and numerical analyses emphasize the importance of maintaining a minimum national stockpile as a strategic reserve and underscore the necessity of robust supply chain management.</div></div>","PeriodicalId":19529,"journal":{"name":"Omega-international Journal of Management Science","volume":"135 ","pages":"Article 103318"},"PeriodicalIF":6.7,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143706264","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sobhan Mostafayi Darmian , Fabio Sgarbossa , Mohammad Fattahi , Juan Pablo Morande
{"title":"Supply chain viability by integrating R-imperatives, product development, and design decisions: A stochastic programming framework","authors":"Sobhan Mostafayi Darmian , Fabio Sgarbossa , Mohammad Fattahi , Juan Pablo Morande","doi":"10.1016/j.omega.2025.103317","DOIUrl":"10.1016/j.omega.2025.103317","url":null,"abstract":"<div><div>This study focuses on operationalizing R-imperatives by integrating product development and design decisions in supply chains (SC) facing disruptive events. This approach leads to viable SCs that are sustainable, resilient to disruptions, adaptable to ongoing changes, and enhance circularity. We use a stochastic programming approach to propose this new planning framework. To measure SC resilience, we consider the operational cost increase during the recovery period following a potential disruption. Additionally, flexibility in product configuration after disruptions is introduced as a new contingency strategy in this study. Motivated by two European companies involved in a circular manufacturing initiative in Norway, we define disruption scenarios and assess the effectiveness of our framework. Our results show that SCs can improve both economically and in terms of circularity when R-imperatives, product development, and design decisions are integrated. Furthermore, under disruption events, SC resilience improves on average by 4.28 % and 5.07 % in these two case studies. We also highlight that budget savings from this approach can range between 2 % to 10 % when a SC adapts to increased demand.</div></div>","PeriodicalId":19529,"journal":{"name":"Omega-international Journal of Management Science","volume":"136 ","pages":"Article 103317"},"PeriodicalIF":6.7,"publicationDate":"2025-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143746222","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Levying carbon tariffs considering foreign competition and technology choice","authors":"Jiawen Hua , Jun Lin , Kai Wang , Yanjun Qian","doi":"10.1016/j.omega.2025.103321","DOIUrl":"10.1016/j.omega.2025.103321","url":null,"abstract":"<div><div>Firms operating in regions with strict carbon regulations often face foreign competition from exports in regions with laxer regulations. Carbon tariffs, taxes imposed on imported goods, significantly affect these firms’ technology choices and production. This study evaluates the efficiency of three prevalent carbon tariffs: the default low/high-pollution tariff and the nondefault tariff. The former is levied based on default green/existing technology, while the latter is based on firms' actual applied technology. We investigate the equilibrium decisions made by domestic and offshore firms regarding technology and production given the carbon tariffs established by the domestic government. The carbon tariffs are evaluated in terms of green technology incentivization, market share retainment, and total greenhouse gas (GHG) emissions reduction. Moreover, social welfare, a composite indicator of concern to policymakers, is considered so that a social maximum can be achieved. Our findings reveal that although the imposition of carbon tariffs incentivizes domestic firms to utilize green technology, it can disincentivize offshore firms from doing so. In terms of market share retainment and total GHG emissions reduction, the default high-pollution tariff performs at least as well as the default low-pollution tariff and the nondefault tariff. Moreover, for policymakers with the objective of social welfare maximization, it is not always optimal to impose carbon tariffs as carbon tariffs can fail to improve social welfare. Further, when the imposition of carbon tariffs improves social welfare, it is the default high-pollution tariff that improves the most.</div></div>","PeriodicalId":19529,"journal":{"name":"Omega-international Journal of Management Science","volume":"135 ","pages":"Article 103321"},"PeriodicalIF":6.7,"publicationDate":"2025-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143644784","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Caibo Zhou , Wenyan Song , Huiwen Wang , Lihong Wang
{"title":"Resilience Assessment of Supply Chain Networks Considering Continuously Varying Sates of Firms in Ripple Effect: A Comprehensive and Dynamic Operational-Structural Analysis","authors":"Caibo Zhou , Wenyan Song , Huiwen Wang , Lihong Wang","doi":"10.1016/j.omega.2025.103322","DOIUrl":"10.1016/j.omega.2025.103322","url":null,"abstract":"<div><div>This study aims to develop a comprehensive assessment approach for supply chain network resilience from structural and operational perspectives in the presence of ripple effect, i.e., localized disruptions due to risk events can propagate rapidly within the network, leading to large-scale failure. The existing assessment works have two non-negligible problems. The first one is neglecting the continuous change of firms’ operation capacities and corresponding multiple states during disruption propagation. Another one is the lack of dynamic modeling of network-level operational resilience. These problems make previous studies fall short of the realistic scenario and cannot comprehensively assess the resilience of supply chain networks. This paper models the continuously changing operational capacities of firms and the corresponding multiple states transition relationship, which provides a more realistic and finer-grained portrayal of disruption propagation in supply chain networks, and serves as a foundation for accurately assessing performance changes of supply chain networks. This study also quantifies the dynamic changes in network-level operational performance based on viable supply chain theory by maximizing the total units delivered flow, enabling a more accurate and comprehensive assessment of operational resilience. Based on the results of large-scale simulation experiments and a real-world case study of Apple's supply chain network, we comprehensively analyzed how resilience factors including network type, network structure and firm risk capabilities influence different dimensions of supply chain network resilience. Based on our findings, we summarize several important managerial implications and provide suggestions for decision-making.</div></div>","PeriodicalId":19529,"journal":{"name":"Omega-international Journal of Management Science","volume":"135 ","pages":"Article 103322"},"PeriodicalIF":6.7,"publicationDate":"2025-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143687862","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}