{"title":"Dynamic rebalancing strategies for dockless bike-sharing systems","authors":"Ruicheng Liu , Jianyu Xu , Çağatay Iris , Jianghang Chen","doi":"10.1016/j.ijpe.2025.109634","DOIUrl":"10.1016/j.ijpe.2025.109634","url":null,"abstract":"<div><div>Bike-sharing systems have developed rapidly with the influence of the sharing economy, and many operational challenges have arisen. The bike rebalancing problem is one of the main challenges in bike-sharing systems. In this paper, we propose a framework to address the dynamic bike rebalancing problem in dockless bike-sharing systems by using trucks to relocate bikes to meet the time-varying demand at each location. We decompose the problem into two processes: dynamic clustering and bike relocation. For dynamic clustering, we propose an optimisation model to select cluster centroids and decide the number and coverage of clusters to maximise operational profit based on trip revenues and expected traversal costs between clusters. An Adaptive Large Neighbourhood Search (ALNS) algorithm is developed to solve this problem. Clusters with too many bikes would lead to bike piles and cause urban blight, while clusters with too few bikes may result in user dissatisfaction. To prevent such issues, in the bike relocation process, we construct vehicle routes with pickup and delivery for bike relocation between clusters. We test the framework using real data from Louisville, USA. We show that the proposed ALNS can efficiently solve large real-life instances and obtain high-quality solutions. Numerical experiments also indicate that the dynamic clustering model significantly increases average daily profit compared to static clustering benchmarks. We provide operators with several insights into the impact of clustering and relocation in bike-sharing systems.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"285 ","pages":"Article 109634"},"PeriodicalIF":9.8,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143874091","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Unlocking the value in product return data: Inventory management with sales dependent stochastic product return flows from multiple periods","authors":"Esra Gökbayrak , Enis Kayış , Refik Güllü","doi":"10.1016/j.ijpe.2025.109618","DOIUrl":"10.1016/j.ijpe.2025.109618","url":null,"abstract":"<div><div>In the fast fashion retail sector, handling product returns has become a significant challenge due to rapidly changing consumer preferences and high product return rates. These retailers are now inclined to consider product return flows in managing product inventories using detailed product return data. This study investigates an optimal inventory control policy for a retailer facing stochastic product returns from multiple previous sale periods to maximize expected profit during a single selling season. The problem is formulated using dynamic programming, and due to its computational complexity, we propose an Approximate Dynamic Programming value iteration algorithm using basis functions. Our proposed algorithm reduces the solution time drastically without a significant sacrifice from optimality. We quantify the value of leveraging detailed return information and demonstrate that our proposed model increases the retailer’s profit by 9% in the base case and up to 31% considering other cases compared to a model ignoring such information, especially under decreasing product prices over time or per period order capacity constraints. Finally, using an extensive computational study, we propose managerial insights on how to best leverage the value in the product return data using advanced analytics for fast-fashion retailers.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"285 ","pages":"Article 109618"},"PeriodicalIF":9.8,"publicationDate":"2025-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143874090","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The intelligent production line configuration strategy","authors":"Qiguo Gong , Yanyu Zhang , Guohui Chen , Hui Wang","doi":"10.1016/j.ijpe.2025.109647","DOIUrl":"10.1016/j.ijpe.2025.109647","url":null,"abstract":"<div><div>Establishing an intelligent production line with high flexibility entails significant expenses, thereby strategic decision-making regarding the utilization of labor flexibility in the production line configuration becomes crucial for the success of a smart factory. This study considers two predominant production line configuration strategies in a production environment characterized by multi-variety and small-batch orders: (1) a <em>double-line configuration strategy</em>, where a fully automated intelligent production line focuses on producing relatively standardized products, while a manual production line is dedicated to crafting personalized products. We obtain optimal work allocation under this strategy. (2) a <em>line-changeover configuration strategy</em>, characterized by a single flexible production line where machine-driven tasks are automatically executed. Manual intervention is only required during line changeovers and setups between different product types. A comparative cost analysis between these two configuration strategies reveals that, for production batch size exceeding a batch threshold, the line-changeover strategy outperforms the double-line strategy. Moreover, if a square root rule is satisfied, the line-changeover strategy consistently outperforms the double-line strategy. Notably, investments directed towards setup reduction prove instrumental in reducing production costs and reducing the batch threshold, thereby amplifying the advantages of the line-changeover strategy. The future comparative advantage of these two configuration strategies is contingent upon ongoing technological developments.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"285 ","pages":"Article 109647"},"PeriodicalIF":9.8,"publicationDate":"2025-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143860179","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Dynamic product quality improvement using social media data and competitor-based Kano model","authors":"Lu Zheng , Lin Sun , Zhen He , Shuguang He","doi":"10.1016/j.ijpe.2025.109645","DOIUrl":"10.1016/j.ijpe.2025.109645","url":null,"abstract":"<div><div>Recently, social media data have emerged as an important information source for product quality improvement. Previous studies utilize social media data and the Kano model to delineate opportunities for product quality enhancement. However, a favorable performance appraisal from customers does not guarantee that the product gains a competitive edge over its rivals. Performance evaluation may be inaccurate and biased without comparing the product to its competitors. Moreover, few studies research dynamic quality attributes and propose strategies for dynamic quality enhancement. In this study, we propose a dynamic approach to improving product quality using social media data. Firstly, we categorize social media data into texts with positive, negative, and neutral sentiments. By considering competitors, we then dynamically estimate product performance and customer satisfaction using these texts, Dynamic Topic Models, and sentiment analysis. Secondly, we cluster product features into diverse quality attributes using our proposed competitor-based Kano model. Finally, we use a case study of laptops for validation. Experimental results not only validate the lifecycle of quality attributes (changing from indifferent to attractive attributes, which turn to one-directional/must-be attributes) proposed by extant research, but also reveal new trajectories of quality attributes (fluctuating among one-directional, must-be, and attractive attributes). Additionally, the comparison with baseline methods manifests that our method provides manufacturers with timely decision support to improve product quality, formulate product development strategies, and enhance product competitiveness.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"285 ","pages":"Article 109645"},"PeriodicalIF":9.8,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143854536","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Can sustainable supply chain sustain supplier's operational efficiency?","authors":"Cherry Yi Zhang, Jinyan Ji, Tiantian Zhang","doi":"10.1016/j.ijpe.2025.109640","DOIUrl":"10.1016/j.ijpe.2025.109640","url":null,"abstract":"<div><div>This study, based on supply chain-linked panel data of U.S. listed manufacturing firms from 1991 to 2018, examines how customers with environmental and social (ES) commitments affect the operational efficiency of dependent suppliers. An overlooked aspect in the literature is how operational concessions—such as extended trade credit terms and excess inventory holding—naturally emerge as a way for suppliers to balance power asymmetries in relationships with major customers. These concessions act as equilibrium outcomes that sustain partnerships but burden suppliers. Addressing this gap, we explore how ES commitments from major customers shift this equilibrium, reducing the need for suppliers to offer long trade credit and hold excess inventory, thereby improving efficiency through a shorter operating cycle. Our results show that suppliers working with ES-committed customers achieve shorter operating cycles, driven by reductions in both inventory days and receivable days. Additionally, suppliers leverage ES performance to signal credibility, reducing their reliance on long credit terms as assurance. During the 2008 financial crisis and its aftermath, suppliers reciprocated the goodwill of ES-committed customers by offering longer credit terms, fostering resilience and mutual support within the supply chain during financial stress. These findings contribute to the literature on sustainable supply chain management by showing how ES commitments foster trust-based partnerships that enhance long-term supply chain resilience across both stable and crisis periods.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"285 ","pages":"Article 109640"},"PeriodicalIF":9.8,"publicationDate":"2025-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143854535","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Sustainable development of PV projects based on a text-analytic decision-making framework","authors":"Xiaoyu Ma, Chunguang Bai","doi":"10.1016/j.ijpe.2025.109610","DOIUrl":"10.1016/j.ijpe.2025.109610","url":null,"abstract":"<div><div>The vigorous development of new energy sources, such as photovoltaic (PV) systems, is essential to achieving the goals of “Carbon Neutrality and Carbon Peak.” Clarifying the inherent logic of sustainable PV development and effectively evaluating and optimizing PV projects are urgent priorities. To address this, the study proposes a data-driven framework for the sustainable development of PV systems. First, topic modeling is employed to analyze existing PV research, identify mainstream topics, and outline the critical pathways for sustainable development. Second, focusing on a primary pathway, a two-stage decision-making model based on text mining is introduced to evaluate and optimize the target PV system. In the first stage, text mining is integrated with an adaptive multi-objective particle swarm optimization algorithm to generate Pareto solutions across three objectives: lifecycle cost, loss of power supply probability, and global warming potential of greenhouse gas emissions. In the second stage, stochastic multicriteria acceptability analysis is applied to select the optimal Pareto solution. The framework is validated through its application to a real-world case involving PV carport configuration in Chengdu, China. This study not only establishes an objective and comprehensive research paradigm for analyzing PV system sustainability through text analysis but also provides decision-making references for researchers and industry practitioners to better understand the development logic and pathways for sustainable PV system configuration.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"285 ","pages":"Article 109610"},"PeriodicalIF":9.8,"publicationDate":"2025-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143842916","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Robust two-stage optimisation in biomass supply chains","authors":"Péter Egri, Tamás Kis","doi":"10.1016/j.ijpe.2025.109623","DOIUrl":"10.1016/j.ijpe.2025.109623","url":null,"abstract":"<div><div>Increasing waste utilisation is an important goal of the circular economy initiative. This paper focuses on biomass supply chains, where the waste has several utilisation possibilities, each with different quality requirements. The biomass has to be distributed among the recycling facilities, where it can be processed by different technologies, and finally, the products are transported to the customers. Due to the uncertainties in the recycling processes, the quality of the products become known only after processing the waste. Thus the basic challenge is to find a robust facility and technology selection plan, which performs well, even if some quality issues are expected. This paper introduces a novel robust optimisation model of the waste utilisation problem and presents a solution algorithm using a customised column-and-constraint generation approach.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"285 ","pages":"Article 109623"},"PeriodicalIF":9.8,"publicationDate":"2025-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143826464","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Chaaben Kouki , Lama Moussawi-Haidar , Mohamad Y. Jaber
{"title":"A divergent two-echelon spare part inventory system with lost sales and compound Poisson demand","authors":"Chaaben Kouki , Lama Moussawi-Haidar , Mohamad Y. Jaber","doi":"10.1016/j.ijpe.2025.109625","DOIUrl":"10.1016/j.ijpe.2025.109625","url":null,"abstract":"<div><div>This paper investigates a spare parts inventory system in a two-echelon supply chain following a continuous review process. The first echelon has a central warehouse, while the second has multiple local warehouses. The demand for spare parts at the local warehouses follows a Compound Poisson Process. A base-stock policy controls inventory in the supply chain with demand satisfied within a pre-determined waiting time threshold. Failure to do so will result in lost sales, which happens when stockouts occur at both echelons and there is no inventory in transit. The lead time at the central warehouse is a random variable following a general distribution. Empirical evidence suggests that the Compound Poisson Process provides a more accurate fit for the lumpy and intermittent demand of spare parts compared to the Poisson process, which is the approach often adopted in the literature. This paper follows a queueing network modeling approach to find the inventory performance measures in closed-form when the lead time at the central warehouse follows a general distribution. We minimize supply chain costs and improve performance by determining the optimum inventory levels at the central and local warehouses. We simulated our model and found that the numerical results deviated by a maximum of 5.84% error compared to the results from closed-form expressions.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"285 ","pages":"Article 109625"},"PeriodicalIF":9.8,"publicationDate":"2025-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143839351","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Orchestrating governance reconfiguration of inter-organizational project networks to address coordination failures","authors":"Ilias Krystallis , Jas Kalra , Giorgio Locatelli","doi":"10.1016/j.ijpe.2025.109637","DOIUrl":"10.1016/j.ijpe.2025.109637","url":null,"abstract":"<div><div>The alignment of governance forms and coordination performance within inter-organizational project networks (IOPN) is increasingly studied in operations and supply chain management literature. Despite growing acknowledgement of the adaptive nature of network governance, the mechanisms and process by which governance form is reconfigured are less understood. This study addresses this gap through a longitudinal, ethnographic study of the UK Grand Challenges (UKGC) program, focusing on how a network orchestrator, as a central entity, dynamically reconfigured governance to reduce coordination failures. We found that the orchestrator employed both upward and downward influencing mechanisms to guide the reconfiguration from shared governance to lead-organization governance mode through a three-phased process: (1) explicit manifestation of dissatisfaction with existing governance form, (2) emergence of new governance form, and (3) promoting and operationalizing the new governance form. We further found that the orchestrator's actions in reconfiguring governance form contributed to improved coordination outcomes, particularly in complex, multi-stakeholder project networks. This study extends the understanding of the dynamic aspect of network governance and offers practical insights for managers aiming to enhance coordination of IOPN through intentional governance reconfiguration.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"285 ","pages":"Article 109637"},"PeriodicalIF":9.8,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143829633","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Xiaoli Su , Zhe Yuan , Chenghu Yang , Evren Sahin , Jie Xiong
{"title":"Bridging uncertainty: A data-driven DRO approach for correcting censored demand in newsvendor problems","authors":"Xiaoli Su , Zhe Yuan , Chenghu Yang , Evren Sahin , Jie Xiong","doi":"10.1016/j.ijpe.2025.109626","DOIUrl":"10.1016/j.ijpe.2025.109626","url":null,"abstract":"<div><div>When dealing with short-life cycle products, small and medium-sized enterprises (SMEs) commonly confront challenges stemming from limited local censored demand data. This often leads to a lack of comprehensive understanding of demand distribution and can result in suboptimal order decisions. To address this issue, we introduce a data-driven newsvendor framework that combines a novel cost-driven data correction procedure with distributionally robust optimization (CDDC-DRO). With cost minimization objectives, the proposed procedure integrates local censored demand data and external demand information to adaptively generate high-value improved censored datasets, while circumventing reliance on static correlations. Furthermore, we consider the granularities of external demand information and propose three DRO-based data correction strategies to effectively reduce demand censoring. Tests on both simulated and actual data indicate that the CDDC-DRO procedure adaptively corrects censored data based on demand characteristics and cost structures, thereby eliminating significant errors induced by demand censoring and improving the precision and robustness of order decisions. The correction degree of the improved censored datasets dynamically depends on cost structure. A high degree of data correction is employed under high critical ratios, whereas a minimal correction degree is applied under low critical ratios. In response to the significant negative impacts of demand censoring, SMEs prefer to implement the DRO-based data correction strategy with finer-grained external demand information. This strategy enhances correction capabilities while minimizing variations in decision accuracy. Even when finer-grained external demand information is unavailable, SMEs are able to make well-informed order decisions using the DRO-based data correction strategy with local censored demand data.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"285 ","pages":"Article 109626"},"PeriodicalIF":9.8,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143854534","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}