Pub Date : 2023-12-05DOI: 10.1007/s10696-023-09524-8
Maria Beranek, Udo Buscher
{"title":"Pricing decisions in a two-period closed-loop supply chain game under asymmetric information and uncertainty","authors":"Maria Beranek, Udo Buscher","doi":"10.1007/s10696-023-09524-8","DOIUrl":"https://doi.org/10.1007/s10696-023-09524-8","url":null,"abstract":"","PeriodicalId":50441,"journal":{"name":"Flexible Services and Manufacturing Journal","volume":null,"pages":null},"PeriodicalIF":2.7,"publicationDate":"2023-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138598981","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-01DOI: 10.1007/s10696-023-09519-5
N. A. Kurdhi, S. Dabadghao, Jan C. Fransoo
{"title":"Should I endorse a third party? Authorization strategies for brand manufacturers in a refurbishing market","authors":"N. A. Kurdhi, S. Dabadghao, Jan C. Fransoo","doi":"10.1007/s10696-023-09519-5","DOIUrl":"https://doi.org/10.1007/s10696-023-09519-5","url":null,"abstract":"","PeriodicalId":50441,"journal":{"name":"Flexible Services and Manufacturing Journal","volume":null,"pages":null},"PeriodicalIF":2.7,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138624526","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-14DOI: 10.1007/s10696-023-09517-7
Sascha Christian Burmeister, Daniela Guericke, Guido Schryen
Abstract Rising costs for energy are increasingly becoming a vital factor for the production planning of manufacturing companies. Manufacturers face the challenge to react to dynamic energy prices and design energy cost efficient schedules in their production planning. In the literature, the energy cost-aware Flexible Job Shop Scheduling Problem addresses minimization of both makespan and energy costs. Recent studies provide multi-objective approaches to model the trade-off of minimizing makespan and energy costs. However, the literature is limited to coarse-grained time periods and does not consider dynamic tariffs where costs change at short intervals, so that production schedules may fall short on energy costs. We aim to close this research gap by considering frequently changing real-time energy tariffs. We propose a multi-objective memetic algorithm based on the non-dominated sorting genetic algorithm (NSGA-II) with both makespan and energy cost minimization as the objectives. We evaluate our approach by conducting computational experiments using prominent FJSP-benchmark instances from the literature, which we supplement with empiric dynamic energy prices. We show results on method performance and compare the memetic NSGA-II with the results of an exact state-of-the-art solver. To investigate the trade-off between a short makespan and low energy costs, we present solutions on the approximated Pareto front and discuss our results.
{"title":"A memetic NSGA-II for the multi-objective flexible job shop scheduling problem with real-time energy tariffs","authors":"Sascha Christian Burmeister, Daniela Guericke, Guido Schryen","doi":"10.1007/s10696-023-09517-7","DOIUrl":"https://doi.org/10.1007/s10696-023-09517-7","url":null,"abstract":"Abstract Rising costs for energy are increasingly becoming a vital factor for the production planning of manufacturing companies. Manufacturers face the challenge to react to dynamic energy prices and design energy cost efficient schedules in their production planning. In the literature, the energy cost-aware Flexible Job Shop Scheduling Problem addresses minimization of both makespan and energy costs. Recent studies provide multi-objective approaches to model the trade-off of minimizing makespan and energy costs. However, the literature is limited to coarse-grained time periods and does not consider dynamic tariffs where costs change at short intervals, so that production schedules may fall short on energy costs. We aim to close this research gap by considering frequently changing real-time energy tariffs. We propose a multi-objective memetic algorithm based on the non-dominated sorting genetic algorithm (NSGA-II) with both makespan and energy cost minimization as the objectives. We evaluate our approach by conducting computational experiments using prominent FJSP-benchmark instances from the literature, which we supplement with empiric dynamic energy prices. We show results on method performance and compare the memetic NSGA-II with the results of an exact state-of-the-art solver. To investigate the trade-off between a short makespan and low energy costs, we present solutions on the approximated Pareto front and discuss our results.","PeriodicalId":50441,"journal":{"name":"Flexible Services and Manufacturing Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134954014","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract Shared mobility is transforming urban transportation. The increasing demand for more efficient and sustainable transportation options has driven the growth of the shared mobility sector, attracting operators ranging from new entrants to traditional manufacturers looking to diversify their markets. Despite its popularity, there is currently a lack of tools to support the design and management of the quality of shared mobility. Seeking to contribute towards bridging this gap, this paper presents a comprehensive quality framework, refereed as MOBI-Qual . MOBI-Qual was developed using a bottom-up approach, wherein quality determinants were defined based on an extensive analysis of digital Voice-of-Customer data, specifically customer review. A topic modelling algorithm was utilized to extract the quality determinants for the most prevalent shared mobility modes. Following this, a common framework was established through a comparison of these quality determinants. The proposed framework comprises eleven quality determinants that comprehensively cover various aspects of shared mobility.
{"title":"MOBI-Qual: a common framework to manage the product-service system quality of shared mobility","authors":"Federico Barravecchia, Luca Mastrogiacomo, Martí Casadesús Fa, Fiorenzo Franceschini","doi":"10.1007/s10696-023-09520-y","DOIUrl":"https://doi.org/10.1007/s10696-023-09520-y","url":null,"abstract":"Abstract Shared mobility is transforming urban transportation. The increasing demand for more efficient and sustainable transportation options has driven the growth of the shared mobility sector, attracting operators ranging from new entrants to traditional manufacturers looking to diversify their markets. Despite its popularity, there is currently a lack of tools to support the design and management of the quality of shared mobility. Seeking to contribute towards bridging this gap, this paper presents a comprehensive quality framework, refereed as MOBI-Qual . MOBI-Qual was developed using a bottom-up approach, wherein quality determinants were defined based on an extensive analysis of digital Voice-of-Customer data, specifically customer review. A topic modelling algorithm was utilized to extract the quality determinants for the most prevalent shared mobility modes. Following this, a common framework was established through a comparison of these quality determinants. The proposed framework comprises eleven quality determinants that comprehensively cover various aspects of shared mobility.","PeriodicalId":50441,"journal":{"name":"Flexible Services and Manufacturing Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135042801","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-11DOI: 10.1007/s10696-023-09518-6
Martina Doneda, Semih Yalçındağ, Ettore Lanzarone
Abstract In Western countries, the so-called Blood Donation Supply Chain (BDSC) provides blood units to several health services. Its first echelon is the collection of unit from donors, which requires a careful management because an unbalanced supply of units to the rest of the chain could trigger alternating periods of blood shortage and wastage. However, the management of blood collection is only marginally studied in the literature, in comparison to other BDSC echelons. In this work, we propose a new organizational model for blood collection, in which blood is collected at donor’s homes, and provide a decision support tool for its management. This new model provides a novel contribution to the understudied blood collection echelon and, at the same time, it responds to the emerging need of delocalization of health services. The proposed decision support tool consists of an interconnected matheuristic framework with three decision stages: (i) a planning model to create the donation slots that will be assigned to donors, (ii) an online allocation of these slots using a flexible set of criteria, and (iii) a Multi-Trip Vehicle Routing Problem with Time Windows (MTVRP-TW) to route the bloodmobiles that collect blood at donors’ homes. The main goals are to balance the production of blood units between days and to minimize the distance travelled by the bloodmobile fleet, while respecting time windows negotiated with donors. This framework also has the feature of immediately providing a list of slots to choose from when a donor makes a booking request. The decision support tool has been tested on data from a real Italian provider. Results confirm its effectiveness, and the capability of providing good quality and economically sustainable solutions in reasonable timeframes.
{"title":"A three-stage matheuristic for home blood donation appointment reservation and collection routing","authors":"Martina Doneda, Semih Yalçındağ, Ettore Lanzarone","doi":"10.1007/s10696-023-09518-6","DOIUrl":"https://doi.org/10.1007/s10696-023-09518-6","url":null,"abstract":"Abstract In Western countries, the so-called Blood Donation Supply Chain (BDSC) provides blood units to several health services. Its first echelon is the collection of unit from donors, which requires a careful management because an unbalanced supply of units to the rest of the chain could trigger alternating periods of blood shortage and wastage. However, the management of blood collection is only marginally studied in the literature, in comparison to other BDSC echelons. In this work, we propose a new organizational model for blood collection, in which blood is collected at donor’s homes, and provide a decision support tool for its management. This new model provides a novel contribution to the understudied blood collection echelon and, at the same time, it responds to the emerging need of delocalization of health services. The proposed decision support tool consists of an interconnected matheuristic framework with three decision stages: (i) a planning model to create the donation slots that will be assigned to donors, (ii) an online allocation of these slots using a flexible set of criteria, and (iii) a Multi-Trip Vehicle Routing Problem with Time Windows (MTVRP-TW) to route the bloodmobiles that collect blood at donors’ homes. The main goals are to balance the production of blood units between days and to minimize the distance travelled by the bloodmobile fleet, while respecting time windows negotiated with donors. This framework also has the feature of immediately providing a list of slots to choose from when a donor makes a booking request. The decision support tool has been tested on data from a real Italian provider. Results confirm its effectiveness, and the capability of providing good quality and economically sustainable solutions in reasonable timeframes.","PeriodicalId":50441,"journal":{"name":"Flexible Services and Manufacturing Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135042899","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-10DOI: 10.1007/s10696-023-09514-w
James C. Chen, Tzu-Li Chen, Yin-Yann Chen, Min-Yu Chung
{"title":"Multi-resource constrained scheduling considering process plan flexibility and lot streaming for the CNC machining industry","authors":"James C. Chen, Tzu-Li Chen, Yin-Yann Chen, Min-Yu Chung","doi":"10.1007/s10696-023-09514-w","DOIUrl":"https://doi.org/10.1007/s10696-023-09514-w","url":null,"abstract":"","PeriodicalId":50441,"journal":{"name":"Flexible Services and Manufacturing Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135137136","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-10DOI: 10.1007/s10696-023-09521-x
Thimo Bergenhenegouwen, T. A. Arno Kasper, Jos A. C. Bokhorst, Martin J. Land
Abstract This paper shows the effectiveness of labour transfers in addressing premature idleness caused by controlled order release. Controlled order release restricts order entry to the shop floor and is commonly employed in high-variety manufacturing where it results in benefits such as stable work-in-progress. However, it can increase waiting times when orders are blocked from release, while capacities are idling. This issue, known as premature idleness, negatively impacts delivery performance. Previous studies have primarily focused on addressing premature idleness through input control by releasing new orders to idling workstations. This approach overlooks the potential of output control during premature idleness, transferring labour to assist at other workstations in a dual resource constrained setting. Using simulation, this study demonstrates that output control significantly improves delivery performance—in terms of mean tardiness and percentage tardy—and reduces total and shop floor throughput times. Importantly, this result proves robust, even when the efficiency of the assisting worker is severely limited. Shop-level performance improves despite the efficiency loss of the worker. The impact of the where-rule is minimal, while the efficacy of the priority dispatching rule depends on the joint efficiency of collaborating workers. Finally, we show that combining input control and output control enhances performance, providing opportunities for further research on the role of both control approaches in high-variety manufacturing.
{"title":"Managing premature idleness in high-variety manufacturing","authors":"Thimo Bergenhenegouwen, T. A. Arno Kasper, Jos A. C. Bokhorst, Martin J. Land","doi":"10.1007/s10696-023-09521-x","DOIUrl":"https://doi.org/10.1007/s10696-023-09521-x","url":null,"abstract":"Abstract This paper shows the effectiveness of labour transfers in addressing premature idleness caused by controlled order release. Controlled order release restricts order entry to the shop floor and is commonly employed in high-variety manufacturing where it results in benefits such as stable work-in-progress. However, it can increase waiting times when orders are blocked from release, while capacities are idling. This issue, known as premature idleness, negatively impacts delivery performance. Previous studies have primarily focused on addressing premature idleness through input control by releasing new orders to idling workstations. This approach overlooks the potential of output control during premature idleness, transferring labour to assist at other workstations in a dual resource constrained setting. Using simulation, this study demonstrates that output control significantly improves delivery performance—in terms of mean tardiness and percentage tardy—and reduces total and shop floor throughput times. Importantly, this result proves robust, even when the efficiency of the assisting worker is severely limited. Shop-level performance improves despite the efficiency loss of the worker. The impact of the where-rule is minimal, while the efficacy of the priority dispatching rule depends on the joint efficiency of collaborating workers. Finally, we show that combining input control and output control enhances performance, providing opportunities for further research on the role of both control approaches in high-variety manufacturing.","PeriodicalId":50441,"journal":{"name":"Flexible Services and Manufacturing Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135137325","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract Donor profiling and donation prediction are two key tasks that any blood collection center must face. Profiling is important to target promotion campaigns, recruiting donors who will guarantee a high production of blood units over time. Predicting the future arrivals of donors allows to size the collection center properly and to provide reliable information on the future production of blood units. Both tasks can be addressed through a statistical prediction model for the intensity function of the donation event. We propose a Bayesian model, which describes this intensity as a function of individual donor’s random frailties and their fixed-time and time-dependent covariates. Our model explains donors’ behaviors from their first donation based on their individual characteristics. We apply it to data of recurrent donors provided by the Milan department of the Associazione Volontari Italiani del Sangue in Italy. Our method proved to fit those data, but it can also be easily applied to other blood collection centers. The method also allows general indications to be drawn, supported by quantitative analyses, to be provided to staff.
{"title":"Predicting donations and profiling donors in a blood collection center: a Bayesian approach","authors":"Ilenia Epifani, Ettore Lanzarone, Alessandra Guglielmi","doi":"10.1007/s10696-023-09516-8","DOIUrl":"https://doi.org/10.1007/s10696-023-09516-8","url":null,"abstract":"Abstract Donor profiling and donation prediction are two key tasks that any blood collection center must face. Profiling is important to target promotion campaigns, recruiting donors who will guarantee a high production of blood units over time. Predicting the future arrivals of donors allows to size the collection center properly and to provide reliable information on the future production of blood units. Both tasks can be addressed through a statistical prediction model for the intensity function of the donation event. We propose a Bayesian model, which describes this intensity as a function of individual donor’s random frailties and their fixed-time and time-dependent covariates. Our model explains donors’ behaviors from their first donation based on their individual characteristics. We apply it to data of recurrent donors provided by the Milan department of the Associazione Volontari Italiani del Sangue in Italy. Our method proved to fit those data, but it can also be easily applied to other blood collection centers. The method also allows general indications to be drawn, supported by quantitative analyses, to be provided to staff.","PeriodicalId":50441,"journal":{"name":"Flexible Services and Manufacturing Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135092743","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-31DOI: 10.1007/s10696-023-09522-w
Alessandro Agnetis
{"title":"Obituary for Professor Carlo Meloni (1970–2023)","authors":"Alessandro Agnetis","doi":"10.1007/s10696-023-09522-w","DOIUrl":"https://doi.org/10.1007/s10696-023-09522-w","url":null,"abstract":"","PeriodicalId":50441,"journal":{"name":"Flexible Services and Manufacturing Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135813196","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-25DOI: 10.1007/s10696-023-09513-x
James C. Chen, Tzu-Li Chen, Ping-Hsuan Wu
{"title":"Truck scheduling with fixed outbound departures in a closed-loop conveyor system with shortcuts","authors":"James C. Chen, Tzu-Li Chen, Ping-Hsuan Wu","doi":"10.1007/s10696-023-09513-x","DOIUrl":"https://doi.org/10.1007/s10696-023-09513-x","url":null,"abstract":"","PeriodicalId":50441,"journal":{"name":"Flexible Services and Manufacturing Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135113228","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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