Koorosh Shomalzadeh , Jacquelien M.A. Scherpen , M. Kanat Camlibel
{"title":"A real-time balancing market optimization with personalized prices: From bilevel to convex","authors":"Koorosh Shomalzadeh , Jacquelien M.A. Scherpen , M. Kanat Camlibel","doi":"10.1016/j.orp.2023.100276","DOIUrl":"10.1016/j.orp.2023.100276","url":null,"abstract":"<div><p>This paper studies the static economic optimization problem of a system with a single aggregator and multiple prosumers in a Real-Time Balancing Market (RTBM). The aggregator, as the agent responsible for portfolio balancing, needs to minimize the cost for imbalance satisfaction in real-time by proposing a set of optimal personalized prices to the prosumers. On the other hand, the prosumers, as price taker and self-interested agents, want to maximize their profit by changing their supplies or demands and providing flexibility based on the proposed personalized prices. We model this problem as a bilevel optimization problem. We first show that the optimal solution of this bilevel optimization problem can be found by solving an equivalent convex problem. In contrast to the state-of-the-art Mixed-Integer Programming (MIP)-based approach to solve bilevel problems, this convex equivalent has very low computation time and is appropriate for real-time applications. Next, we compare the optimal solutions of the proposed personalized scheme and a uniform pricing scheme. We prove that, under the personalized pricing scheme, more prosumers contribute to the RTBM and the aggregator’s cost is less. Finally, we verify the analytical results of this work by means of numerical case studies and simulations.</p></div>","PeriodicalId":38055,"journal":{"name":"Operations Research Perspectives","volume":"10 ","pages":"Article 100276"},"PeriodicalIF":2.5,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45380927","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}
Christian Micus , Simon Schramm , Markus Boehm , Helmut Krcmar
{"title":"Methods to analyze customer usage data in a product decision process:A systematic literature review","authors":"Christian Micus , Simon Schramm , Markus Boehm , Helmut Krcmar","doi":"10.1016/j.orp.2023.100277","DOIUrl":"10.1016/j.orp.2023.100277","url":null,"abstract":"<div><p>To remain competitive, companies must decide on new, desirable products. This can be achieved by integrating insights how customers use a product into the process of deciding on a new product. Currently, this process is primarily based on market research that can only reveal the intention of consumers. Through the digitization of products, companies have access to large amounts of customer data that allow the application of data analytics methods. We provide a taxonomy of artificial intelligence, machine learning and data analysis, so that the notion of data analytics can be defined. Thus, the terms customer usage data, as well as a generic, five-stage product decision process (PDP) are defined and differentiated from consumer data and the product development process. Eventually, we show which data analytics methods on customer usage data can be used in order to tackle current challenges within the PDP. We incorporate the results of our structured literature review by connecting selected examples to our concept of the PDP. Our insights help to apply the proper data analytics methods in the PDP and thereby address the interplay between product decision and product development. Finally, future research directions for data analytics methods on customer usage data are put forward.</p></div>","PeriodicalId":38055,"journal":{"name":"Operations Research Perspectives","volume":"10 ","pages":"Article 100277"},"PeriodicalIF":2.5,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45647610","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}
Alfaima L. Solano-Blanco , Jaime E. González , Andrés L. Medaglia
{"title":"Production planning decisions in the broiler chicken supply chain with growth uncertainty","authors":"Alfaima L. Solano-Blanco , Jaime E. González , Andrés L. Medaglia","doi":"10.1016/j.orp.2023.100273","DOIUrl":"10.1016/j.orp.2023.100273","url":null,"abstract":"<div><p>Broiler chickens are specially raised for meat production and their supply chain is composed of breeders, hatcheries, feed mills, farms, slaughterhouses, wholesalers, and retailers. The coordination between supply chain players has great potential to streamline production and increase competitiveness in the market. A critical element in the decision-making process of this agri-system is the weight gain of broiler chickens. Variability in chicken growth patterns can affect production plans in practice. The most efficient weight estimation models require sensors in real-time, which are not available in many companies. Thus, some small farms require a simpler approach to adjust production planning based on the uncertainty of chickens’ weight while they transition to new technologies. This research proposes an optimization-based methodology for the integration of farms and slaughterhouses to plan production under chicken growth uncertainty. The methodology includes two models: (i) a two-stage stochastic model that supports lot-sizing and inventory management decisions while considering scenarios of chicken growth uncertainty; and (ii) a mixed-integer linear programming model that supports lot allocation. We present the results of implementing the methodology in a poultry company in Santa Marta (Colombia), where we improved costs by 8.6% while meeting tactical, biological, and biosecurity constraints.</p></div>","PeriodicalId":38055,"journal":{"name":"Operations Research Perspectives","volume":"10 ","pages":"Article 100273"},"PeriodicalIF":2.5,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42768785","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}
{"title":"Corrigendum to modeling multicriteria group decision making as games from enhanced pairwise comparisons [Operations Research Perspectives 8 (2021) 100194]","authors":"Alexandre Bevilacqua Leoneti , Luiz Flavio Autran Monteiro Gomes","doi":"10.1016/j.orp.2022.100239","DOIUrl":"10.1016/j.orp.2022.100239","url":null,"abstract":"","PeriodicalId":38055,"journal":{"name":"Operations Research Perspectives","volume":"10 ","pages":"Article 100239"},"PeriodicalIF":2.5,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42666898","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}
{"title":"One-parametric analysis of column-oriented linear programs","authors":"Torbjörn Larsson, Nils-Hassan Quttineh","doi":"10.1016/j.orp.2023.100278","DOIUrl":"10.1016/j.orp.2023.100278","url":null,"abstract":"<div><p>A linear optimization problem which is amenable to column generation and contains a single parameter in the objective function is considered. We extend and adapt the standard linear programming column generation scheme to effectively and efficiently solve this problem for all values of the parameter. As a potential application we consider bi-objective discrete optimization and describe how the one-parametric column generation scheme can be used to form an outer approximation of the Pareto frontier for such a problem.</p></div>","PeriodicalId":38055,"journal":{"name":"Operations Research Perspectives","volume":"10 ","pages":"Article 100278"},"PeriodicalIF":2.5,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41706687","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}
Peter Wanke , Claudia Araujo , Yong Tan , Jorge Antunes , Roberto Pimenta
{"title":"Efficiency in university hospitals: A genetic optimized semi-parametric production function","authors":"Peter Wanke , Claudia Araujo , Yong Tan , Jorge Antunes , Roberto Pimenta","doi":"10.1016/j.orp.2023.100279","DOIUrl":"10.1016/j.orp.2023.100279","url":null,"abstract":"<div><p>This paper investigates the social-welfare efficiency drivers of public university hospitals in Brazil by focusing on how the surrounding social welfare conditions may affect their performance. A novel Genetic Envelopment Analysis (GEA) approach is developed here to this end. Subsequently, LASSO regression is applied to filter the impact of social-welfare related variables –on efficiency scores. Results indicate that beds, number of employees and number of doctors are the influential factors in determining the efficiency level, while the operating scales are not relevant to the productivity level. We further find that there is a degree of difference related to the efficiency level among the hospitals in the sample. Finally, our results show that GEA estimates present higher discrimination and dispersion compared to DEA, SFA and TOPSIS, also GEA provides the most reliable and accurate results. In the second stage analysis, we find that female population ratio and high school ratio significantly affect the efficiency level in a negative manner, while the urban population ratio has a significant and positive impact. Based on these results, we provide important policy implications.</p></div>","PeriodicalId":38055,"journal":{"name":"Operations Research Perspectives","volume":"10 ","pages":"Article 100279"},"PeriodicalIF":2.5,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45279242","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}
{"title":"Retraction notice to “SIR model for the spread of COVID-19: A case study” [Operations Research Perspectives 10 (2023) 100265]","authors":"Ayoob Salimipour , Toktam Mehraban , Hevi Seerwan Ghafour , Noreen Izza Arshad , M.J. Ebadi","doi":"10.1016/j.orp.2023.100280","DOIUrl":"10.1016/j.orp.2023.100280","url":null,"abstract":"","PeriodicalId":38055,"journal":{"name":"Operations Research Perspectives","volume":"10 ","pages":"Article 100280"},"PeriodicalIF":2.5,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45129086","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}
{"title":"A simulation-optimization approach for integrating physical and financial flows in a supply chain under economic uncertainty","authors":"Ehsan Badakhshan , Peter Ball","doi":"10.1016/j.orp.2023.100270","DOIUrl":"https://doi.org/10.1016/j.orp.2023.100270","url":null,"abstract":"<div><p>In the last decade, increasing costs and organizational concerns regarding the funding and allocation of financial resources have led to significant attention being given to financial flow and its effects on planning decisions throughout supply chain networks. This study aims to develop a simulation-optimization model to integrate the financial and physical flows in a supply chain planning problem under economic uncertainty. The simulation-optimization model includes a mixed-integer linear programming model and a simulation-based optimization model that are connected through an iterative process. The economic value added (EVA) index is used to measure the financial performance of the supply chain. This study extends the literature on two research domains namely supply chain planning and finance and simulation-optimization modelling for supply chain management. The proposed model applies a scenario approach to cope with economic uncertainty in the supply chain. To demonstrate the efficiency of the proposed model, the performance of the proposed model in solving a test problem from the recent literature is compared with the performance of a conventional simulation-based optimization and mixed-integer linear programming approaches. The results of the study show a minimum of 6% improvement in the EVA obtained from the proposed simulation-optimization model compared to the EVA obtained from the simulation-based optimization model in all the studied scenarios. Moreover, the standard deviation of the EVA obtained from the proposed simulation-optimization model is at least 69% lower than the EVA obtained from the mixed integer programming model in all the studied scenarios. This shows that the proposed simulation-optimisation approach is more robust to economic uncertainty than the mixed-integer linear programming approach.</p></div>","PeriodicalId":38055,"journal":{"name":"Operations Research Perspectives","volume":"10 ","pages":"Article 100270"},"PeriodicalIF":2.5,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49870019","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}
{"title":"A robust model for emergency supplies prepositioning and transportation considering road interruptions","authors":"Wuyang Yu","doi":"10.1016/j.orp.2023.100266","DOIUrl":"https://doi.org/10.1016/j.orp.2023.100266","url":null,"abstract":"","PeriodicalId":38055,"journal":{"name":"Operations Research Perspectives","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47467046","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}
E. De Kuyffer, K. Shen, L. Martens, W. Joseph, T. De Pessemier
{"title":"Offshore windmill and substation maintenance planning with Distance, Fuel consumption and Tardiness optimisation","authors":"E. De Kuyffer, K. Shen, L. Martens, W. Joseph, T. De Pessemier","doi":"10.1016/j.orp.2023.100267","DOIUrl":"https://doi.org/10.1016/j.orp.2023.100267","url":null,"abstract":"<div><p>Despite a lot of research about predictive maintenance for onshore and offshore windmill farms, nearly no investigation has been performed to obtain the optimal sequence in which windmills are to be served in a predefined time frame. The higher fuel costs and the increasing time pressure on maintenance jobs urge the need for optimisation, so offshore windmills can be serviced at minimal costs and within a limited time frame. To minimise distance travelled, fuel consumption and average tardiness of all maintenance tasks to be carried out, a multi-objective, non-dominated sorting island model of genetic algorithms is used.</p><p>The following novel contributions are realised: (i) A multi-objective island model is used, where on each island a different genetic algorithm is used to minimise a separate cost function per island. (ii) A set of non-dominated maintenance sequences, shown as a Pareto plane, are computed and (iii) these optimal solutions can be used by the planner to select the route to be followed by the CTV when travelling from windmill to windmill during a maintenance sequence.</p><p>Tests on two of the islands have resulted in a relative improvement of around 65 to 70% on fuel consumption and distance in relation to a random sequence, while the third island has generated a relative gain of 69% in average weighed tardiness. The three islands combined have resulted in a set of Pareto optimal sequences for offshore windmill maintenance.</p></div>","PeriodicalId":38055,"journal":{"name":"Operations Research Perspectives","volume":"10 ","pages":"Article 100267"},"PeriodicalIF":2.5,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49870020","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}