International Journal of Management Science and Engineering Management最新文献_第3页

An adaptive product changeover policy for a capacitated two-product supply chain in a non-stationary demand environment 非稳定需求环境下有能力双产品供应链的自适应产品转换策略

IF 4.8

International Journal of Management Science and Engineering Management Pub Date : 2023-05-30 DOI: 10.1080/17509653.2023.2219644

R. Corsini, A. Costa, J. Framiñan

引用次数: 0

A G/M/C//M queueing model for revenue management of shovel-truck systems in an open-pit mine considering carbon emission, a case study 考虑碳排放的露天矿铲车系统收益管理的G/M/C//M排队模型及实例研究

IF 4.8

International Journal of Management Science and Engineering Management Pub Date : 2023-04-03 DOI: 10.1080/17509653.2021.2015004

Sina Navidi, Muhammad Motamedi, A. Aghsami, F. Jolai

{"title":"A G/M/C//M queueing model for revenue management of shovel-truck systems in an open-pit mine considering carbon emission, a case study","authors":"Sina Navidi, Muhammad Motamedi, A. Aghsami, F. Jolai","doi":"10.1080/17509653.2021.2015004","DOIUrl":"https://doi.org/10.1080/17509653.2021.2015004","url":null,"abstract":"ABSTRACT The main cause of high-operating costs in open-pit mines is the costs of transportation. Therefore, reducing these costs could have a huge impact on overall mining efficiency and increasing profit. Meanwhile, the high cost of mining equipment, such as shovels and trucks, indicates the necessity of meticulous decision-making to find the optimal shovel-truck combination. In this paper, a new profit function for investing operations in open-pit mines is proposed using queueing theory based on a novel G/M/C//M queueing model. This function tries to maximize profit while considering budget constraints, equipment’s price, and other costs such as occupied servers, idle shovels, service in the queue, and CO2 emission. The proposed model is solved by GAMS software for small-sized instances, and Grasshopper Optimization Algorithm (GOA) is used as a meta-heuristic approach for large-scale problems. Numerical and computational results are provided to prove the efficiency and feasibility of the model. Finally, the presented model is implemented to Chadormalu mine in Iran as a case study.","PeriodicalId":46578,"journal":{"name":"International Journal of Management Science and Engineering Management","volume":null,"pages":null},"PeriodicalIF":4.8,"publicationDate":"2023-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41255861","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

Joint pricing and inventory management in a competitive market using reinforcement learning: a combination of the agent-based and simulation-optimization approaches 在竞争市场中使用强化学习的联合定价和库存管理:基于代理和模拟优化方法的结合

IF 4.8

International Journal of Management Science and Engineering Management Pub Date : 2023-03-13 DOI: 10.1080/17509653.2021.1983737

Saeed Abdolhosseini, Mahsa Ghandehari, A. Ansari, Omid Roozmand

{"title":"Joint pricing and inventory management in a competitive market using reinforcement learning: a combination of the agent-based and simulation-optimization approaches","authors":"Saeed Abdolhosseini, Mahsa Ghandehari, A. Ansari, Omid Roozmand","doi":"10.1080/17509653.2021.1983737","DOIUrl":"https://doi.org/10.1080/17509653.2021.1983737","url":null,"abstract":"ABSTRACT One of the most important tools is an appropriate pricing mechanism to attract more customers and increase profits. The retailers’ main question is how to set the prices and inventory policies to maximize profit in a competitive heterogeneous market in presence of non-zero lead time and lost sales. A reinforcement learning algorithm is proposed to create appropriate decision-making mechanisms for pricing. A coordinated inventory policy in a competitive environment reduces logistic costs and leads to a higher profit. We use a reinforcement learning algorithm to investigate the performance of a retailer in a competitive environment. An agent-based modeling experimental environment combined with a simulation-optimization method in which a virtual market has been reproduced is used. The market is not homogeneous with respect to customer behavior. It is assumed that the retailer uses (R, Q) policy where the lead time is a fixed amount (L), and the shortage is permissible. The quality, distance, service level, and price are factors that influence customers’ choices. The simulation results for some randomly generated examples show that the algorithm in the competitive environment can make more profit than other available methods and the combined utilization of simulation-optimization methods has been able to find better solutions for the hybrid model of pricing and inventory management considering customer behavior. The results of simulation for three different categories of customers (more sensitive to price, equally sensitive to price, quality and service level, and more sensitive to quality (indicate that the average profit for the proposed algorithm is higher than that of other examined algorithms.","PeriodicalId":46578,"journal":{"name":"International Journal of Management Science and Engineering Management","volume":null,"pages":null},"PeriodicalIF":4.8,"publicationDate":"2023-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"60059187","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Development of human resource scheduling model in the healthcare sector during the pandemic 疫情期间医疗保健部门人力资源调度模型的开发

IF 4.8

International Journal of Management Science and Engineering Management Pub Date : 2023-03-05 DOI: 10.1080/17509653.2023.2183280

L. Ghannam, M. Othman

引用次数: 0

A heuristic master planning algorithm that includes fairness and flexibility 一种包含公平性和灵活性的启发式总体规划算法

IF 4.8

International Journal of Management Science and Engineering Management Pub Date : 2023-02-23 DOI: 10.1080/17509653.2023.2183278

Ching-Chin Chern, Chun-Ying Leng, Bo Hsiao

引用次数: 2

Evaluating stakeholder structure and private actor involvement on the distribution of relief goods considering a partly centralised decision 考虑到部分集中决策，评估利益相关者结构和私人行为者对救济物资分配的参与

IF 4.8

International Journal of Management Science and Engineering Management Pub Date : 2023-02-22 DOI: 10.1080/17509653.2023.2183279

F. Zukhruf, Taufiq Suryo Nugroho, Russ Bona Frazila, R. Ramadhan, Alma Rizka Octaviana

引用次数: 0

Collaborative manufacturing and management contextualization in the Industry 4.0 based on a systematic literature review 基于系统文献综述的工业4.0协同制造与管理情境化研究

IF 4.8

International Journal of Management Science and Engineering Management Pub Date : 2023-02-22 DOI: 10.1080/17509653.2023.2174200

L. Varela, G. Putnik, F. Romero

引用次数: 1

Lean –Green Practices and Firm Performance Assessment: An ANP Method 精益绿色实践与企业绩效评估:ANP方法

IF 4.8

International Journal of Management Science and Engineering Management Pub Date : 2023-02-19 DOI: 10.1080/17509653.2023.2177760

Adnan Sarwar, M. A. Hamza, Saqib Shahzad

引用次数: 2

A time series analysis approach to forecast price fluctuation points 预测价格波动点的时间序列分析方法

IF 4.8

International Journal of Management Science and Engineering Management Pub Date : 2023-02-12 DOI: 10.1080/17509653.2023.2174199

Ching-Chin Chern, Wei-Yun Chen, Bo Hsiao

引用次数: 0

The effects of sensory interaction and sensory conflict on consumer online review rating behavior 感官互动和感官冲突对消费者在线评论评价行为的影响

IF 4.8

International Journal of Management Science and Engineering Management Pub Date : 2023-02-07 DOI: 10.1080/17509653.2023.2174201

Meiling Zhou

引用次数: 0