Rairo-Operations Research最新文献_第6页

Research on inventory replenishment strategy of supply chain based on SPN 基于SPN的供应链库存补充策略研究

IF 1.8 4区管理学

Rairo-Operations Research Pub Date : 2023-07-21 DOI: 10.1051/ro/2023110

Wenjun Pan, Lin Miao

{"title":"Research on inventory replenishment strategy of supply chain based on SPN","authors":"Wenjun Pan, Lin Miao","doi":"10.1051/ro/2023110","DOIUrl":"https://doi.org/10.1051/ro/2023110","url":null,"abstract":"The warehousing and replenishment strategy of supply chain is comprehensively affected by various factors such as supply chain structure, demand change, supply source, inventory state. Supply chain warehousing replenishment is full of uncertain factors, in order to achieve the optimal replenishment process and the best replenishment strategy effect, this paper uses SPN(Stochastic Petri net) to build the supply chain warehousing replenishment model. Based on the basis of the traditional replenishment process, this paper optimizes the new supply chain warehousing management process, optimizes the priority management measures of goods in the process of supply chain warehousing replenishment process, designs the new replenishment strategy algorithm and designs the replenishment strategy function analysis. Using SPN model, this paper intuitively shows the warehousing management process, and describes the dynamic changes of warehousing replenishment in detail. Through the implementation of different warehousing replenishment strategies to solve the influencing factors of uncertainty, so as to avoid the problem of various supply chain warehousing shortage caused by poor warehousing management. Finally, by comparing the traditional warehouse management strategy and the SPN model optimization of the supply chain storage strategy, the research result shows that the SPN replenishment strategy model is more efficient than the traditional warehouse replenishment strategy model.","PeriodicalId":54509,"journal":{"name":"Rairo-Operations Research","volume":"34 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2023-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83614870","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Some bounds on spectral radius of signless Laplacian matrix of k-graphs k图无符号拉普拉斯矩阵谱半径的若干界

IF 1.8 4区管理学

Rairo-Operations Research Pub Date : 2023-07-19 DOI: 10.1051/ro/2023109

Junhao Zhang, Zhongxun Zhu

引用次数: 0

Sustainable automotive supply chain in the presence of disruption and government intervention 可持续的汽车供应链在中断和政府干预的存在

IF 1.8 4区管理学

Rairo-Operations Research Pub Date : 2023-07-18 DOI: 10.1051/ro/2023108

Tahereh Zaefarian, Mahsa Ghandehari, M. Modarres, M. Khalilzadeh

{"title":"Sustainable automotive supply chain in the presence of disruption and government intervention","authors":"Tahereh Zaefarian, Mahsa Ghandehari, M. Modarres, M. Khalilzadeh","doi":"10.1051/ro/2023108","DOIUrl":"https://doi.org/10.1051/ro/2023108","url":null,"abstract":"This paper aims to develop and simulate a green automotive supply chain model (ASC) consisting of one supplier, one manufacturer, and two types of products (green and non-green) under disruption risks (DRs). The greening effort (i.e., electric vehicle production) is considered for both the supplier and the manufacturer. In our modeling, we include the local government intervention (GI) and their incentivization of manufacturers to produce greener products. Moreover, the effectiveness of centralized versus decentralized supply chain integration strategies in coping with disruption consequences was explored. A mathematical pricing model based on game theory is designed to maximize the total profit for both integrated and decentralized systems. The model examines the effects of the greening effort on the supply chain (SC) members with eight disruption scenarios, including Extra Production and Surplus Inventory. Simulating numerical examples reveals that the Extra Production type of disruption increase the profitability in different scenarios. Conversely, the Surplus Inventory disruption reduces profitability. Moreover, a channel coordination through cost sharing contract in the presence of disruption sharing was developed. GI and the cost-sharing contract increase the SC profit. The managerial implications of our findings are also discussed in this paper.","PeriodicalId":54509,"journal":{"name":"Rairo-Operations Research","volume":"82 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2023-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83408376","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Proximal algorithm with quasidistances for multiobjective quasiconvex inimization in Riemannian manifolds 黎曼流形多目标拟凸极化的拟距离近端算法

IF 1.8 4区管理学

Rairo-Operations Research Pub Date : 2023-07-18 DOI: 10.1051/ro/2023101

E. P. Papa Quiroz, R. Rocha, P. Oliveira, R. Gregório

引用次数: 0

Emergency order response strategy under supply chain collaboration 供应链协同下的应急订单响应策略

IF 1.8 4区管理学

Rairo-Operations Research Pub Date : 2023-07-18 DOI: 10.1051/ro/2023107

Hao Tan, Xiao Fu

{"title":"Emergency order response strategy under supply chain collaboration","authors":"Hao Tan, Xiao Fu","doi":"10.1051/ro/2023107","DOIUrl":"https://doi.org/10.1051/ro/2023107","url":null,"abstract":"This paper studies the production and ordering response strategy with uncertain demand in two-tier supply chain composed of a social planner and a manufacturer. In light of the uncertain market demand, the manufacturer needs advance production before receiving the regular order from social planner to make quick response, and reserve some additional production capacity in case of emergency orders. We derive the conditions whereby the manufacturer can benefit from the emergency production and emergency orders and the social planner is willing to place the emergency orders and upgrade the optimal decisions with Pareto improvement. Besides, we find that, 1) the unit cost for emergency order is either too high or low, which might be worse off if the emergency order opportunity is provided to social planner; 2) even if the centralized case is better than the decentralized case in terms of the total cost, the social planner prefers decentralized case to centralized case. Finally, we use the real data to prove the theoretical analysis and show that the emergency supply mechanism can almost meet domestic demand. At the same time, we determine the optimal unit cost for emergency order based on total cost and respective costs for both parties.","PeriodicalId":54509,"journal":{"name":"Rairo-Operations Research","volume":"46 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2023-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81512813","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Pricing and inventory decision in a two-layer supply chain under the Weibull distribution product deterioration: An application of NSGA-II Weibull分销产品劣化下的双层供应链定价与库存决策:NSGA-II的应用

IF 1.8 4区管理学

Rairo-Operations Research Pub Date : 2023-07-18 DOI: 10.1051/ro/2023105

Dr. Abhijit Barman, Dr. Ashis Kumar Chakraborty, Dr. Adrijit Goswami, Dr. Parthasarathi Banerjee, Dr. Pijus Kanti De

{"title":"Pricing and inventory decision in a two-layer supply chain under the Weibull distribution product deterioration: An application of NSGA-II","authors":"Dr. Abhijit Barman, Dr. Ashis Kumar Chakraborty, Dr. Adrijit Goswami, Dr. Parthasarathi Banerjee, Dr. Pijus Kanti De","doi":"10.1051/ro/2023105","DOIUrl":"https://doi.org/10.1051/ro/2023105","url":null,"abstract":"Academicians and practitioners have focused a lot of attention on the separate issues of pricing and inventory control in a competitive setting. However, integrating these choices in a competitive environment has received scant attention for deteriorating inventory systems from academics despite being crucial to practitioners. From this perspective, our research focuses on designing a supply chain model with inventory coordination to reflect time systems with improved accuracy and optimal control systems. In this research, we develop a two-layer supply chain model consisting of one manufacturer and one retailer incorporating the inventory classification of the retailer. Price-sensitive market demand and two-parameter time-varying Weibull distribution deterioration have been assumed to develop the mathematical model. First, a collective decision on price and inventory control of a deteriorating product has been evaluated in a duopoly environment. Secondly, to explore the decentralized scenario, we have proposed the NSGA-II algorithm to solve the bi-objective programming problem of the two-layer supply chain. The paper aims to explore product collaborative pricing policies and the inventory decision of the deteriorating item in two-layer supply chain coordination. Finally, numerical research is conducted to execute the centralized supply chain and NSGA-II application in a decentralized supply chain. The research findings can provide valuable insights for members of the two-layer supply chain to make optimal product pricing and inventory scheduling decisions.","PeriodicalId":54509,"journal":{"name":"Rairo-Operations Research","volume":"1 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2023-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86681177","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

A closed-loop supply chain operation decision under life cycle: Ecological design, service design and recycling effort perspectives 生命周期下的闭环供应链运营决策:生态设计、服务设计和回收努力视角

IF 1.8 4区管理学

Rairo-Operations Research Pub Date : 2023-07-18 DOI: 10.1051/ro/2023106

Shan Liu, Caiquan Duan, Jinyou Qiao

{"title":"A closed-loop supply chain operation decision under life cycle: Ecological design, service design and recycling effort perspectives","authors":"Shan Liu, Caiquan Duan, Jinyou Qiao","doi":"10.1051/ro/2023106","DOIUrl":"https://doi.org/10.1051/ro/2023106","url":null,"abstract":"The commercial, environmental and social value of closed-loop supply chain (CLSC) has been widely recognised in the literature. Enterprises are increasingly aware of the importance of product life cycle management; that is, enterprises conduct CLSC management of the production, use and recycling of products. Existing research lacks research on CLSC operation decision under product life cycle. This paper introduces ecological design, service design and recycling into a CLSC with the manufacturer, retailer and recycler. Stackelberg models considering different leadership structures and service design providers are constructed using game theory, and we use backward induction to solve the game in different cases. Results show that from the system-operating efficiency and total profits maximisation perspectives, the recycler-led is always the most effective. However, for the selection of the optimal service design provider, when the manufacturer (retailer) is the leader, the retailer (manufacturer) providing the service design should be the dominant strategy. When the recycler is the leader, the effect is the same no matter who provides the service design. Finally, we find an interesting conclusion that in the case of retailer provides service design, supply chain members do not always achieve the highest profits under their own leadership structure. The numerical analysis shows that when the consumer's preference for service design is greater than 6.3, the manufacturer can obtain greater profits under the recycler-led structure, and when consumer's preference for ecological design is greater than 7.1, the retailer can gain greater profits under the recycler-led structure.","PeriodicalId":54509,"journal":{"name":"Rairo-Operations Research","volume":"39 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2023-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90231981","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Inventory pricing model under different carbon emission policies 不同碳排放政策下的库存定价模型

IF 1.8 4区管理学

Rairo-Operations Research Pub Date : 2023-07-07 DOI: 10.1051/ro/2023098

K. Su, Xiaohui Ren

引用次数: 0

Multi-objective optimization for multimodal transportation routing problem with stochastic transportation time based on data-driven approaches 基于数据驱动的随机运输时间多式联运路线问题多目标优化

4区管理学

Rairo-Operations Research Pub Date : 2023-07-01 DOI: 10.1051/ro/2023090

Yong Peng, Shu Han Gao, Dennis Yu, Yun Peng Xiao, Yi Juan Luo

{"title":"Multi-objective optimization for multimodal transportation routing problem with stochastic transportation time based on data-driven approaches","authors":"Yong Peng, Shu Han Gao, Dennis Yu, Yun Peng Xiao, Yi Juan Luo","doi":"10.1051/ro/2023090","DOIUrl":"https://doi.org/10.1051/ro/2023090","url":null,"abstract":"We study a multi-objective optimization model of a stochastic multimodal transportation network considering key impact factors such as transit cost, time, and transport mode schedule while minimizing total transportation cost and transportation time. In this study, we apply the Monte Carlo simulation to deal with the stochastic transportation time in the network and propose a data-driven approach that combines historical data and the dataset generated by the data mining algorithm to accelerate the search for the nondominated solution in the simulation. To validate the effectiveness of the proposed Data-Driven Multi-Objective Simulation Ant Colony (DD-MSAC) algorithm, we compare the optimum-seeking performance and the running time consumption of the Nondominated Sorting Genetic Algorithm-II (NSGA-II) and the Multi-Objective Simulation Ant Colony (MSAC) algorithm. Then, the MSAC algorithm is adopted as the benchmark for the comparison study on the solving performance of the proposed DD-MSAC algorithm. We conducted 30 times simulation run under different network scales in our numerical examples to show that the DD-MSAC algorithm can be equally effective as the non-data-driven MSAC algorithm in finding a nondominated solution as the average error does not exceed 5%. Meanwhile, we analyze the impact of different data-driven approaches, including data pool and support vector machine, on the solution quality and the running time. Finally, we use an example of China’s Belt Road Initiative to verify the effectiveness of the proposed algorithm.","PeriodicalId":54509,"journal":{"name":"Rairo-Operations Research","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135155215","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A descent scaled conjugate gradient method for unconstrainedoptimization with its applications in image restoration problems 无约束优化的下降尺度共轭梯度法及其在图像恢复问题中的应用

IF 1.8 4区管理学

Rairo-Operations Research Pub Date : 2023-06-15 DOI: 10.1051/ro/2023093

Mina Lotfi, seyed Mohammad Hosseini

引用次数: 0