Pub Date : 2024-11-20DOI: 10.1016/j.omega.2024.103232
Jun Seop Lee, Byung Do Chung
With the increasingly widespread use of household plastic products, environmental pollution caused by plastic waste has emerged as a severe problem. Despite the efforts of academia and government bodies, plastic recycling rates worldwide remain low. Thus, this study aims at establishing a closed-loop supply chain design model for household plastic recycling. We develop a bilevel optimization model to reflect decentralized decision-making between a manufacturer and public sectors and propose a strategy to obtain optimal solutions. The proposed model considers two critical aspects of the problem: decentralized local waste management and quantity-dependent price. Numerical experiments are conducted based on real annual operation data, and various managerial insights are derived from sensitivity analyses. Additionally, we recommend various strategies to mitigate potential social conflicts arising from increasing volumes of plastic waste as well as directions for government policy aimed at enhancing the plastic recycling rate.
{"title":"Closed-loop supply chain design considering quantity-dependent price and decentralized local waste management","authors":"Jun Seop Lee, Byung Do Chung","doi":"10.1016/j.omega.2024.103232","DOIUrl":"10.1016/j.omega.2024.103232","url":null,"abstract":"<div><div>With the increasingly widespread use of household plastic products, environmental pollution caused by plastic waste has emerged as a severe problem. Despite the efforts of academia and government bodies, plastic recycling rates worldwide remain low. Thus, this study aims at establishing a closed-loop supply chain design model for household plastic recycling. We develop a bilevel optimization model to reflect decentralized decision-making between a manufacturer and public sectors and propose a strategy to obtain optimal solutions. The proposed model considers two critical aspects of the problem: decentralized local waste management and quantity-dependent price. Numerical experiments are conducted based on real annual operation data, and various managerial insights are derived from sensitivity analyses. Additionally, we recommend various strategies to mitigate potential social conflicts arising from increasing volumes of plastic waste as well as directions for government policy aimed at enhancing the plastic recycling rate.</div></div>","PeriodicalId":19529,"journal":{"name":"Omega-international Journal of Management Science","volume":"132 ","pages":"Article 103232"},"PeriodicalIF":6.7,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142743677","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}
Pub Date : 2024-11-19DOI: 10.1016/j.omega.2024.103230
Rajdeep Singh , Stefan Wrzaczek , Michael Freiberger
COVID-19 demonstrated the extent to which a pandemic can affect billions of lives worldwide. Vaccinations are an effective intervention that reduces the burden of the disease on the population. However, the low availability of vaccine doses coupled with an emerging infection wave calls for efficient dose allocation. We study the tradeoffs between prioritization of partial or full immunization while allocating limited doses with the help of an augmented SIR model. We define the term allocation ratio as the ratio of doses allocated for partial immunization as a proportion of the total available doses. Optimal control theory is used to derive the path traversed by the allocation ratio throughout the vaccine administration program. Numerical insights are obtained by introducing the case study of the Indian state of Tamil Nadu. Results indicate a preference towards full immunization when the active infections are low, while a switch to exclusive partial immunization is observed as the infection wave grows. Sensitivity analysis shows that factors like reduced vaccine availability, higher transmission rate, and high first-dose efficacy promote a quicker switch. The results also indicate significant potential savings of around ₹710 billion ( $8.46 billion) in mortality losses compared to the more widely followed pro-rata allocation policies. Hence, our study contributes to the growing discussion around the optimal strategy for vaccine administration with a focus on dose prioritization. The results of our research can help policymakers determine the allocation of limited available doses when faced with rising infection numbers during future pandemics.
{"title":"The inoculation dilemma: Partial vs Full immunization during the early rollout in a pandemic","authors":"Rajdeep Singh , Stefan Wrzaczek , Michael Freiberger","doi":"10.1016/j.omega.2024.103230","DOIUrl":"10.1016/j.omega.2024.103230","url":null,"abstract":"<div><div>COVID-19 demonstrated the extent to which a pandemic can affect billions of lives worldwide. Vaccinations are an effective intervention that reduces the burden of the disease on the population. However, the low availability of vaccine doses coupled with an emerging infection wave calls for efficient dose allocation. We study the tradeoffs between prioritization of partial or full immunization while allocating limited doses with the help of an augmented SIR model. We define the term allocation ratio as the ratio of doses allocated for partial immunization as a proportion of the total available doses. Optimal control theory is used to derive the path traversed by the allocation ratio throughout the vaccine administration program. Numerical insights are obtained by introducing the case study of the Indian state of Tamil Nadu. Results indicate a preference towards full immunization when the active infections are low, while a switch to exclusive partial immunization is observed as the infection wave grows. Sensitivity analysis shows that factors like reduced vaccine availability, higher transmission rate, and high first-dose efficacy promote a quicker switch. The results also indicate significant potential savings of around ₹710 billion (<span><math><mo>∼</mo></math></span> $8.46 billion) in mortality losses compared to the more widely followed pro-rata allocation policies. Hence, our study contributes to the growing discussion around the optimal strategy for vaccine administration with a focus on dose prioritization. The results of our research can help policymakers determine the allocation of limited available doses when faced with rising infection numbers during future pandemics.</div></div>","PeriodicalId":19529,"journal":{"name":"Omega-international Journal of Management Science","volume":"132 ","pages":"Article 103230"},"PeriodicalIF":6.7,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142743682","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}
Pub Date : 2024-11-16DOI: 10.1016/j.omega.2024.103231
Yuzhen Hu , Min Wang , Xinghai Guo , Valery F. Lukinykh
Demand for maritime transportation has constantly increased throughout recent years due to its high capacity, extensive coverage, high safety, and so on. However, the growth has also contributed to a rise in maritime accidents, highlighting the need for developing maritime emergency management strategies. In maritime emergency management, resource location-allocation-configuration is the most important and inseparable preparedness action before disasters, directly deciding the quality of emergency rescue operations. Traditional ship-only rescue is frequently both cost-intensive and time-consuming, seriously affecting rescue performance. This study introduces an innovative shipborne UAV operation system to address these limitations. Firstly, a multi-objective mixed-integer nonlinear programming model is established to minimize total rescue time and cost by considering the uncertain maritime environment, continuous docking placements of ships, UAV flight distance, rescue station capacity, etc. Secondly, to efficiently obtain an execution plan, a two-stage algorithm is proposed to facilitate our mission optimization model. Large-scale simulated instances and a real case study demonstrate that (i) the proposed algorithm can solve the model efficiently. (ii) the application of shipborne UAV operation system in maritime emergencies shows a significant improvement in time and cost compared to ship-only system. (iii) it is necessary to consider the uncertain maritime environment when solving emergency management problems. Moreover, extensive parameter sensitivity analysis provides managerial insights into the impact of various factors on the optimization outcomes. We also explore deeper insights that may benefit maritime administration's decision support.
{"title":"Pre-occurrence location-allocation-configuration of maritime emergency resources considering shipborne unmanned aerial vehicle (UAV)","authors":"Yuzhen Hu , Min Wang , Xinghai Guo , Valery F. Lukinykh","doi":"10.1016/j.omega.2024.103231","DOIUrl":"10.1016/j.omega.2024.103231","url":null,"abstract":"<div><div>Demand for maritime transportation has constantly increased throughout recent years due to its high capacity, extensive coverage, high safety, and so on. However, the growth has also contributed to a rise in maritime accidents, highlighting the need for developing maritime emergency management strategies. In maritime emergency management, resource location-allocation-configuration is the most important and inseparable preparedness action before disasters, directly deciding the quality of emergency rescue operations. Traditional ship-only rescue is frequently both cost-intensive and time-consuming, seriously affecting rescue performance. This study introduces an innovative shipborne UAV operation system to address these limitations. Firstly, a multi-objective mixed-integer nonlinear programming model is established to minimize total rescue time and cost by considering the uncertain maritime environment, continuous docking placements of ships, UAV flight distance, rescue station capacity, etc. Secondly, to efficiently obtain an execution plan, a two-stage algorithm is proposed to facilitate our mission optimization model. Large-scale simulated instances and a real case study demonstrate that (i) the proposed algorithm can solve the model efficiently. (ii) the application of shipborne UAV operation system in maritime emergencies shows a significant improvement in time and cost compared to ship-only system. (iii) it is necessary to consider the uncertain maritime environment when solving emergency management problems. Moreover, extensive parameter sensitivity analysis provides managerial insights into the impact of various factors on the optimization outcomes. We also explore deeper insights that may benefit maritime administration's decision support.</div></div>","PeriodicalId":19529,"journal":{"name":"Omega-international Journal of Management Science","volume":"131 ","pages":"Article 103231"},"PeriodicalIF":6.7,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142706662","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}
Pub Date : 2024-11-13DOI: 10.1016/j.omega.2024.103226
Walayat Hussain , José M. Merigó , Iman Rahimi , Benjamin Lev
Omega – The International Journal of Management Science is a leading international journal in management science and operations research. In 2023, Omega celebrated its 50th anniversary. Motivated by this event, this paper provides an in-depth, critical analysis of Omega's development as a leading academic journal over fifty years. The article visualizes a dynamic and evolving academic landscape through the lens of several bibliometric indicators including bibliographic coupling, keyword co-occurrence, and institutional productivity using the Web of Science Core Collection database. The aim is to identify Omega's leading trends in highly cited papers, authors, universities, countries, journals, keywords and topics. The work also develops a graphical mapping of the bibliographic material using the VOS viewer software. The results indicate that Omega is becoming strongly internationalized, with publications from institutions all over the world. Traditionally, English-speaking countries were leading the journal. But during the last few years, the results have visualized the strong growth of Europe and East Asia, and at a lower level, the rest of the countries of the world. The study not only highlights Omega's past achievements but also points towards its future trajectory, emphasizing the importance of collaboration, diversity, and innovation in maintaining its academic prominence.
{"title":"Half a century of Omega – The International Journal of Management Science: A bibliometric analysis","authors":"Walayat Hussain , José M. Merigó , Iman Rahimi , Benjamin Lev","doi":"10.1016/j.omega.2024.103226","DOIUrl":"10.1016/j.omega.2024.103226","url":null,"abstract":"<div><div><em>Omega – The International Journal of Management Science</em> is a leading international journal in management science and operations research. In 2023, <em>Omega</em> celebrated its 50th anniversary. Motivated by this event, this paper provides an in-depth, critical analysis of <em>Omega</em>'s development as a leading academic journal over fifty years. The article visualizes a dynamic and evolving academic landscape through the lens of several bibliometric indicators including bibliographic coupling, keyword co-occurrence, and institutional productivity using the Web of Science Core Collection database. The aim is to identify <em>Omega</em>'s leading trends in highly cited papers, authors, universities, countries, journals, keywords and topics. The work also develops a graphical mapping of the bibliographic material using the VOS viewer software. The results indicate that <em>Omega</em> is becoming strongly internationalized, with publications from institutions all over the world. Traditionally, English-speaking countries were leading the journal. But during the last few years, the results have visualized the strong growth of Europe and East Asia, and at a lower level, the rest of the countries of the world. The study not only highlights <em>Omega</em>'s past achievements but also points towards its future trajectory, emphasizing the importance of collaboration, diversity, and innovation in maintaining its academic prominence.</div></div>","PeriodicalId":19529,"journal":{"name":"Omega-international Journal of Management Science","volume":"133 ","pages":"Article 103226"},"PeriodicalIF":6.7,"publicationDate":"2024-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143166788","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}
Pub Date : 2024-11-12DOI: 10.1016/j.omega.2024.103228
Tadeusz Sawik
This paper presents stochastic mixed integer linear programming models for economically viable supply chain reshoring under the ripple effect, that is, for the integrated optimization of supply chain reshoring and supply chain viability. The problem objective is to select supply chain facilities for relocation and backup suppliers for recovery supplies to simultaneously minimize cost, maximize service and enhance viability. If the primary supplier is not selected for reshoring, the viability can alternatively be improved by recovery supplies from the backup supplier. The problem is formulated as a multi-portfolio stochastic optimization. The portfolio of suppliers/plants for reshoring is optimized along with an alternative recovery portfolio of backup supplies. This study indicates that reshoring decisions directly affect supply chain viability and have positive impact on both its average and worst-case performance. The more risk-aversive is viable reshoring (the confidence level greater than 0.90), the greater is also improvement of supply chain business-as-usual resilience. If increase of expected customer service is more important than cost reduction, supplier reshoring is preferable to backup sourcing. The findings also indicate that cost- and service-optimal reshoring decisions are getting closer when the government subsidy for reshoring significantly increases such that the reduced reshoring costs and domestic costs do not exceed the achieved reduction of lost sales and backup sourcing. Then both conflicting objectives can be simultaneously achieved, which is a highly desirable solution of the economically viable reshoring of supply chain. Numerical examples based on a real-world industrial supply chain prove practical usefulness of the proposed stochastic approach and its high computational efficiency.
{"title":"Economically viable reshoring of supply chains under ripple effect","authors":"Tadeusz Sawik","doi":"10.1016/j.omega.2024.103228","DOIUrl":"10.1016/j.omega.2024.103228","url":null,"abstract":"<div><div>This paper presents stochastic mixed integer linear programming models for economically viable supply chain reshoring under the ripple effect, that is, for the integrated optimization of supply chain reshoring and supply chain viability. The problem objective is to select supply chain facilities for relocation and backup suppliers for recovery supplies to simultaneously minimize cost, maximize service and enhance viability. If the primary supplier is not selected for reshoring, the viability can alternatively be improved by recovery supplies from the backup supplier. The problem is formulated as a multi-portfolio stochastic optimization. The portfolio of suppliers/plants for reshoring is optimized along with an alternative recovery portfolio of backup supplies. This study indicates that reshoring decisions directly affect supply chain viability and have positive impact on both its average and worst-case performance. The more risk-aversive is viable reshoring (the confidence level greater than 0.90), the greater is also improvement of supply chain business-as-usual resilience. If increase of expected customer service is more important than cost reduction, supplier reshoring is preferable to backup sourcing. The findings also indicate that cost- and service-optimal reshoring decisions are getting closer when the government subsidy for reshoring significantly increases such that the reduced reshoring costs and domestic costs do not exceed the achieved reduction of lost sales and backup sourcing. Then both conflicting objectives can be simultaneously achieved, which is a highly desirable solution of the economically viable reshoring of supply chain. Numerical examples based on a real-world industrial supply chain prove practical usefulness of the proposed stochastic approach and its high computational efficiency.</div></div>","PeriodicalId":19529,"journal":{"name":"Omega-international Journal of Management Science","volume":"131 ","pages":"Article 103228"},"PeriodicalIF":6.7,"publicationDate":"2024-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142658621","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}
Pub Date : 2024-11-12DOI: 10.1016/j.omega.2024.103220
Fran Setiawan , Tolga Bektaş , Çağatay Iris
Freight distribution often operates on the basis of consolidation, which is achieved through the use of hub facilities that allow for economies of scale. Freight networks need to be expanded to meet future demand, to cater for new markets, and to accommodate trends in global supply chains, for which strategic decisions need to be made. These decisions mainly entail the number and location of new hubs to be established. As network expansions require significant capital, striking a balance between the benefits afforded by the new hubs and the expansion costs is crucial. This paper investigates a hub network expansion problem where the configuration of the resulting network is determined by the trade-off between the fixed costs of locating new hubs and new links, as well as routing costs of shipping commodities, and the cost reductions achieved through economies of scale, without imposing a predetermined network structure. This paper also describes a mixed integer programming formulation of the problem and a Benders decomposition algorithm that uses several enhancement techniques to efficiently solve the model to optimality. The application of the algorithm on a real-life case study arising in the expansion of the Indonesian freight transport network yields several managerial insights. In particular, expanding the network with additional hubs and links can yield substantial cost savings, averaging at 47.6%, although at the expense of an increase in the length of the commodity paths. Failing to operate the network at the selected level of economies of scale can result in an increase in the routing costs by up to 58.8%. Expanding the network with no additional hubs leads to a rise in total costs of up to 20.9%. Finally, lower economies of scale leads to an increase in the length of commodity paths, with the routing cost being identified as the most sensitive parameter.
{"title":"The role of hubs and economies of scale in network expansion","authors":"Fran Setiawan , Tolga Bektaş , Çağatay Iris","doi":"10.1016/j.omega.2024.103220","DOIUrl":"10.1016/j.omega.2024.103220","url":null,"abstract":"<div><div>Freight distribution often operates on the basis of consolidation, which is achieved through the use of hub facilities that allow for economies of scale. Freight networks need to be expanded to meet future demand, to cater for new markets, and to accommodate trends in global supply chains, for which strategic decisions need to be made. These decisions mainly entail the number and location of new hubs to be established. As network expansions require significant capital, striking a balance between the benefits afforded by the new hubs and the expansion costs is crucial. This paper investigates a hub network expansion problem where the configuration of the resulting network is determined by the trade-off between the fixed costs of locating new hubs and new links, as well as routing costs of shipping commodities, and the cost reductions achieved through economies of scale, without imposing a predetermined network structure. This paper also describes a mixed integer programming formulation of the problem and a Benders decomposition algorithm that uses several enhancement techniques to efficiently solve the model to optimality. The application of the algorithm on a real-life case study arising in the expansion of the Indonesian freight transport network yields several managerial insights. In particular, expanding the network with additional hubs and links can yield substantial cost savings, averaging at 47.6%, although at the expense of an increase in the length of the commodity paths. Failing to operate the network at the selected level of economies of scale can result in an increase in the routing costs by up to 58.8%. Expanding the network with no additional hubs leads to a rise in total costs of up to 20.9%. Finally, lower economies of scale leads to an increase in the length of commodity paths, with the routing cost being identified as the most sensitive parameter.</div></div>","PeriodicalId":19529,"journal":{"name":"Omega-international Journal of Management Science","volume":"131 ","pages":"Article 103220"},"PeriodicalIF":6.7,"publicationDate":"2024-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142658643","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}
Pub Date : 2024-11-04DOI: 10.1016/j.omega.2024.103229
Wan Ke , Xiaoyang Zhou , Benjamin Lev , Wenjing Shen
Supply stability has become increasingly crucial amid the reshaping of global supply chains. This paper introduces a novel analytical framework to examine the retailer’s strategic inventory decisions and the effects on the profits of the manufacturer and the supply chain under three supply chain structures: complete decentralization, partial centralization, and complete centralization. Utilizing a game-theoretic approach, we derive equilibrium outcomes revealing that strategic inventory enhances the manufacturer’s profit under complete decentralization. In contrast, this positive effect on the manufacturer’s profit is not always observed under partial centralization. Our findings also indicate that the retailer’s decision to adopt strategic inventory, along with the impact on the supply chain’s profit, is contingent upon the supply stability level and the unit inventory cost. We further analyze the performance of the supply chain under three structures and find that complete centralization always achieves the optimal profit when the retailer does not choose strategic inventory. However, complete centralization does not always achieve the optimal profit when the retailer adopts strategic inventory. These findings provide new insights into the role of strategic inventory across various supply chain structures.
{"title":"Strategic Inventory with an Unreliable Manufacturer across Multiple Supply Chain Structures","authors":"Wan Ke , Xiaoyang Zhou , Benjamin Lev , Wenjing Shen","doi":"10.1016/j.omega.2024.103229","DOIUrl":"10.1016/j.omega.2024.103229","url":null,"abstract":"<div><div>Supply stability has become increasingly crucial amid the reshaping of global supply chains. This paper introduces a novel analytical framework to examine the retailer’s strategic inventory decisions and the effects on the profits of the manufacturer and the supply chain under three supply chain structures: complete decentralization, partial centralization, and complete centralization. Utilizing a game-theoretic approach, we derive equilibrium outcomes revealing that strategic inventory enhances the manufacturer’s profit under complete decentralization. In contrast, this positive effect on the manufacturer’s profit is not always observed under partial centralization. Our findings also indicate that the retailer’s decision to adopt strategic inventory, along with the impact on the supply chain’s profit, is contingent upon the supply stability level and the unit inventory cost. We further analyze the performance of the supply chain under three structures and find that complete centralization always achieves the optimal profit when the retailer does not choose strategic inventory. However, complete centralization does not always achieve the optimal profit when the retailer adopts strategic inventory. These findings provide new insights into the role of strategic inventory across various supply chain structures.</div></div>","PeriodicalId":19529,"journal":{"name":"Omega-international Journal of Management Science","volume":"133 ","pages":"Article 103229"},"PeriodicalIF":6.7,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143167369","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}
Pub Date : 2024-11-04DOI: 10.1016/j.omega.2024.103225
Xiaodan Liu , Peijia Ren , Zeshui Xu , Wanyi Xie
In the digital age, the sheer volume of online consumer reviews imposes a cognitive burden on consumers, complicating their purchasing decisions. Many studies have integrated consumer opinions to provide consumers with clear and concise information. However, these studies often prioritize mainstream opinions, overlooking the diversity and timeliness of other important perspectives. To address this challenge, we propose an evolutive decision-making method. Firstly, we propose an attribute rating evolution algorithm to address the online reviews based on the iterative self-organizing data analysis technique and time decay. This algorithm enables real-time analysis of the diverse opinions expressed in review data. Then, taking into account consumer attribute preferences and decision-making psychology, we formulate multiple product ranking strategies to offer personalized decisions based on the evolutive opinions. Our method decreases the bias towards review quantity, ensuring that significant opinions are not overshadowed by more frequent ones. Through data experiments and an application on OpenTable.com, we demonstrate that our method can provides effective decision recommendation for consumers.
{"title":"Evolutive multi-attribute decision making with online consumer reviews","authors":"Xiaodan Liu , Peijia Ren , Zeshui Xu , Wanyi Xie","doi":"10.1016/j.omega.2024.103225","DOIUrl":"10.1016/j.omega.2024.103225","url":null,"abstract":"<div><div>In the digital age, the sheer volume of online consumer reviews imposes a cognitive burden on consumers, complicating their purchasing decisions. Many studies have integrated consumer opinions to provide consumers with clear and concise information. However, these studies often prioritize mainstream opinions, overlooking the diversity and timeliness of other important perspectives. To address this challenge, we propose an evolutive decision-making method. Firstly, we propose an attribute rating evolution algorithm to address the online reviews based on the iterative self-organizing data analysis technique and time decay. This algorithm enables real-time analysis of the diverse opinions expressed in review data. Then, taking into account consumer attribute preferences and decision-making psychology, we formulate multiple product ranking strategies to offer personalized decisions based on the evolutive opinions. Our method decreases the bias towards review quantity, ensuring that significant opinions are not overshadowed by more frequent ones. Through data experiments and an application on OpenTable.com, we demonstrate that our method can provides effective decision recommendation for consumers.</div></div>","PeriodicalId":19529,"journal":{"name":"Omega-international Journal of Management Science","volume":"131 ","pages":"Article 103225"},"PeriodicalIF":6.7,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142658620","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}
Pub Date : 2024-11-02DOI: 10.1016/j.omega.2024.103224
Yingying Liang , Jindong Qin , Alessio Ishizaka
We present a novel multiple criteria sorting method based on the deck of cards method, named DCMSort, which assigns alternatives to pre-defined and ordered classes. In contrast to prior multiple criteria sorting methods, DCMSort produces criteria weights and utility functions based on personalized preferences using comparisons between two consecutive levels. Meanwhile, it needs fewer comparisons with the aid of the ordinal relation. To improve the flexibility of preference representation, we adopt reference levels and representative profiles as auxiliary profiles to characterize the utility function finely. Additionally, this method permits both definite and uncertain number of blank cards between consecutive positions. To verify the practicality of DCMSort, we provide an illustrative case study in the domain of digital economy development assessment in China. Sensitivity and comparative analyses are conducted to demonstrate the stability and superiority of our proposal.
我们提出了一种新的基于deck of cards方法的多准则排序方法，称为DCMSort，它为预定义的有序类分配备选项。与之前的多标准排序方法相比，DCMSort使用两个连续级别之间的比较，根据个性化偏好生成标准权重和效用函数。同时，借助序数关系，它需要较少的比较。为了提高偏好表示的灵活性，我们采用参考水平和代表性轮廓作为辅助轮廓来精细地表征效用函数。此外，这种方法允许在连续位置之间有确定数量和不确定数量的空白卡片。为了验证DCMSort的实用性，我们在中国数字经济发展评估领域提供了一个示范性案例研究。通过敏感性分析和对比分析，证明了该方案的稳定性和优越性。
{"title":"Assessment of digital economy development with the new multicriteria sorting method: DCMSort","authors":"Yingying Liang , Jindong Qin , Alessio Ishizaka","doi":"10.1016/j.omega.2024.103224","DOIUrl":"10.1016/j.omega.2024.103224","url":null,"abstract":"<div><div>We present a novel multiple criteria sorting method based on the deck of cards method, named DCMSort, which assigns alternatives to pre-defined and ordered classes. In contrast to prior multiple criteria sorting methods, DCMSort produces criteria weights and utility functions based on personalized preferences using comparisons between two consecutive levels. Meanwhile, it needs fewer comparisons with the aid of the ordinal relation. To improve the flexibility of preference representation, we adopt reference levels and representative profiles as auxiliary profiles to characterize the utility function finely. Additionally, this method permits both definite and uncertain number of blank cards between consecutive positions. To verify the practicality of DCMSort, we provide an illustrative case study in the domain of digital economy development assessment in China. Sensitivity and comparative analyses are conducted to demonstrate the stability and superiority of our proposal.</div></div>","PeriodicalId":19529,"journal":{"name":"Omega-international Journal of Management Science","volume":"132 ","pages":"Article 103224"},"PeriodicalIF":6.7,"publicationDate":"2024-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142743679","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}
Pub Date : 2024-10-29DOI: 10.1016/j.omega.2024.103217
Meng Wu, Jiawei Zhang, Xin Chen
Diversified sourcing has traditionally been a popular approach for managing supply risk compared to disruption prevention. However, the recent COVID-19 crisis has emphasized the critical importance and necessity of disruption prevention. Additionally, the economic fears and concerns arising from the crisis have led managers to adopt a more risk-averse stance, potentially leading to permanent changes in individuals’ risk preferences. Despite the growing importance of risk aversion, existing studies have primarily focused on examining the impact of risk aversion on a specific approach, disregarding its influence on the selection of different approaches. As companies recognized the importance of investing in reliability to prevent disruptions, this research aims to investigate how risk aversion affects the selection of approaches to mitigate supply disruptions. Within a framework where both diversified sourcing and disruption prevention offer equivalent payoffs for risk-neutral buyers, our study unveils that risk-averse buyers, particularly when the level of disruption risk is relatively low and their risk aversion is relatively high, prefer to “mitigate but retain the risk of disruption” through diversified sourcing or partial prevention. This stands in contrast to risk-neutral buyers who consistently make choices between completely avoiding risk or accepting all risk through sole sourcing or no/complete prevention. More interestingly, the adoption of diversified sourcing and partial prevention yields distinct payoffs for risk-averse buyers. Despite the widespread adoption and popularity of diversified sourcing, it may actually lead to less favorable results in certain situations. If prevention becomes insensitive to increased investment, diversified sourcing may become even less advantageous. In summary, our study underscores the crucial importance of carefully selecting a suitable risk management approach for buyers who are transitioning towards risk aversion due to the post-COVID effect.
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