Linda L. Zhang , Roger J. Jiao , George Huang , Bart L. MacCarthy
{"title":"Extended guest editorial: Smart product platforming in the industry 4.0 era and beyond","authors":"Linda L. Zhang , Roger J. Jiao , George Huang , Bart L. MacCarthy","doi":"10.1016/j.ijpe.2024.109490","DOIUrl":"10.1016/j.ijpe.2024.109490","url":null,"abstract":"<div><div>Since 1990s, product platforming has been extensively pursued in many industries to design and offer personalized products and services tailored for specific needs. The recent emergence of advanced technologies extends platforming to both integrate different units within a firm and connect different firms in the entire chain of value creation. The resulting process and activity expansion creates new opportunities and challenges in fulfilling personalized requirements based on smart platforms. We launched the special issue: Smart product platforming in the Industry 4.0 era to collect promising research and developments in this topic. The aim of this extended editorial is threefold: 1) introducing the context of the special issue, 2) presenting collected papers, and 3) offering our reflections and future research perspectives on the topic. In presenting the collected papers, we transversally classify them from different lenses, including product lifecycle stages, methodologies, and performance indicators. Based on these papers, we highlight our reflections and point out future perspectives, in hope of inspiring more research in the domain.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"280 ","pages":"Article 109490"},"PeriodicalIF":9.8,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143138124","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Multi-agent reinforcement learning for chiller system prediction and energy-saving optimization in semiconductor manufacturing","authors":"Chia-Yen Lee , Yao-Wen Li , Chih-Chun Chang","doi":"10.1016/j.ijpe.2024.109488","DOIUrl":"10.1016/j.ijpe.2024.109488","url":null,"abstract":"<div><div>Energy consumption in cooling systems is one of the major environmental burdens in semiconductor manufacturing. Energy-saving measures not only help reduce energy costs but also effectively decrease carbon emissions. These improvements enhance the operational efficiency of the entire supply chain and ultimately benefit downstream enterprises, thereby promoting the sustainable development of the semiconductor supply chain. This study aims to optimize the energy savings in chiller systems in the semiconductor manufacturing. We investigate the interactions between various devices and show how the chiller's operational status affects the temperature setpoint. This study proposes a meta-prediction model to simulate the dynamic behavior of the chiller system, and also employ multi-agent reinforcement learning to support the multi-setpoint control for energy optimization. An empirical study of a semiconductor manufacturer in Taiwan was conducted to validate the proposed model. The results indicate that our developed solution successfully reduced the kilowatts per refrigerated ton (KW/RT) by approximately 2.78% in a practical application.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"280 ","pages":"Article 109488"},"PeriodicalIF":9.8,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143137345","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":"ESG equity or green credit: Financing strategies for green transformation in the supply chain under consumption subsidies","authors":"Yuting Liang , Qingyu Zhang","doi":"10.1016/j.ijpe.2024.109491","DOIUrl":"10.1016/j.ijpe.2024.109491","url":null,"abstract":"<div><div>We consider a supply chain with a capital-constrained supplier and a manufacturer, where the supplier seeks funding for green transformation. We develop an ESG Equity Financing (EEF) model that incorporates dividend ratios based on ESG valuation, reflecting both the supplier's financial and ESG performance. In addition to the EEF offered by the manufacturer, the supplier can opt for traditional Green Credit Financing (GCF) from banks. Under government subsidies for consumers buying green transformation products, we explore pricing strategies under different financing models and examine how subsidies impact green transformation, value creation, and financing equilibrium in the supply chain. We also compare the sustainability of EEF and GCF in driving green transformation. Our analysis reveals that consumption subsidies may not incentivize suppliers to increase green investments. In pricing strategies, GCF encourages both the supplier and manufacturer to raise prices, while EEF can lead the manufacturer to lower prices. Regarding financing equilibrium, the supplier's carbon emissions profile and subsidy rate significantly affect the balance between the two financing options. Interestingly, a higher degree of product greenness does not always result in lower overall carbon emissions. Most importantly, EEF has the potential to be the only financing strategy that creates a win-win outcome for the supply chain, consumers, and societal welfare. With suitable government interventions, particularly in setting consumption subsidies, EEF can emerge as the preferred financing option, facilitating green transformation and benefiting all stakeholders.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"280 ","pages":"Article 109491"},"PeriodicalIF":9.8,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143138110","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":"Consumer data collection strategies in two-sided platforms: The role of data ownership assignment and privacy concerns","authors":"Xuan Xi , Yulin Zhang , Mark Goh","doi":"10.1016/j.ijpe.2024.109435","DOIUrl":"10.1016/j.ijpe.2024.109435","url":null,"abstract":"<div><div>Recognizing data as the new oil of the digital economy, two-sided platforms have invested heavily in collecting consumer data. However, issues surround privacy concerns and conflicts over data ownership. More importantly, should consumers retain ownership of their personal data? This paper models a two-sided platform under different data ownership structures and explores the effect of data ownership assignment, consumer privacy concerns, and network externalities on Consumer Data Collection (CDC) strategies. Game theoretic results suggest that, with a low data collection compensation, leaving data ownership with consumers increases the platform's inclination toward investing in CDC strategies when the cost of personal data protection is low and the loss of consumer data ownership is high. However, in cases with high data collection compensation, this inclination diminishes, indicating a decreased desire for CDC investment. Interestingly, when data ownership is assigned to consumers, heightened consumer privacy concerns lead to consumers providing less personal data, but the platform may be more incentivized to invest in CDC. Further, allowing consumers to hold on to data does not always increase consumer surplus, as the latter depends on the trade-off between the costs of data ownership shift (i.e., both personal data protection costs and data collection compensation) and the benefits attached to the data. When data collection compensation is relatively low, conflicting views on data ownership may arise between the platform and consumers.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"280 ","pages":"Article 109435"},"PeriodicalIF":9.8,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143138111","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 role of online platform selling mode in recycling channel selection: A game-theoretic analysis of profit and environmental impact","authors":"Zhaowei Miao, Hengming Peng, Yongquan Lan","doi":"10.1016/j.ijpe.2024.109471","DOIUrl":"10.1016/j.ijpe.2024.109471","url":null,"abstract":"<div><div>In this paper, we develop a game theoretical model to investigate the effects of an online platform’s choice between selling modes (reselling and agency selling) on the manufacturer’s recycling channel selection when the online platform not only acts as a marketplace provider but also serves as a recycler. We find that the manufacturer should adopt agency selling (reselling) when the agency fee is low (high) and recycle used products directly from consumers under agency selling. When the agency fee is moderate, there is a Pareto improvement zone in the supply chain system. Our study also indicates that, surprisingly, as recycling cost decreases or consumers become less price-sensitive, the online platform may be induced to offer agency selling rather than reselling. The increased total profit further expands the “win-win” region, especially when compared to a scenario without remanufacturing. This implies that the induction effect becomes more pronounced, and that a Boxed Pig Game equilibrium (either the manufacturer or the online platform) may arise under agency selling. Furthermore, from an environmental impact perspective, we find that a higher return rate does not necessarily result in better environmental outcomes. Reselling always presents a conflict between economic and environmental goals, but agency selling allows for their coordination. More interestingly, it is insightful to show that the improvement of the triple bottom line outcome is achievable under agency selling when recycling costs, agency fees, and remanufacturing emissions are low as compared to reselling.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"280 ","pages":"Article 109471"},"PeriodicalIF":9.8,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143138112","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":"Optimal production and maintenance strategies for manufacturing/remanufacturing leasing system considering uncertain quality and carbon emission","authors":"Yanping Liu , Biyu Liu , Haidong Yang , Kai Luo","doi":"10.1016/j.ijpe.2024.109489","DOIUrl":"10.1016/j.ijpe.2024.109489","url":null,"abstract":"<div><div>In a manufacturing/remanufacturing leasing system, quality of collected end-of-life leased products is uncertain due to lessees-differentiated demands. Quality affects remanufacturing cost and degradation level of remanufacturing equipment, which in turn affects production and maintenance decisions of equipment and carbon emissions during manufacturing/remanufacturing. A production and maintenance decision-making model is proposed to maximise lessor's profit by considering production, maintenance, carbon emission costs of manufacturing/remanufacturing equipment, inventory and maintenance costs of leased products. The optimal production quantity and preventive maintenance (PM) period for manufacturing/remanufacturing equipment, and remanufacturing cost threshold of leased products are obtained by solving the model with particle swarm optimisation algorithm. The impacts of lease period and PM period for leased products on the decision-makings, lessor's profit and carbon emissions are analysed. The results show: (1) as remanufacturing cost threshold rises, more remanufactured products shall replace new products, and PM period for remanufacturing equipment is significantly shortened; (2) lessor's profit increases first and then decreases as remanufacturing cost threshold increases, while carbon emissions during manufacturing/remanufacturing always decrease; (3) remanufacturing cost threshold shall be set within a moderate range to balance the production and maintenance costs of manufacturing/remanufacturing equipment; (4) extending the lease period and adopting the optimal PM period for the leased products can improve lessor's profit. Strengthening PM for manufacturing/remanufacturing equipment can reduce carbon emissions.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"280 ","pages":"Article 109489"},"PeriodicalIF":9.8,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143138114","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":"Dual pricing with purchase hassle","authors":"Xuelan Zhang , Jun Lin , Yifu Li","doi":"10.1016/j.ijpe.2024.109479","DOIUrl":"10.1016/j.ijpe.2024.109479","url":null,"abstract":"<div><div>Previous research indicates that hassle cost reduces consumers' utility and hurts sellers' profits. However, counterintuitively, some sellers, particularly those who sell online, purposefully increase the hassle cost of purchasing their products. Our work examines how sellers effectively apply dual pricing with purchase hassle to increase their profit and how it affects consumers' purchasing decisions and utility. Different from previous studies, we take into account both the heterogeneities of consumers' product valuations and hassle costs. We find that when consumers' hassle costs are independent of their product valuations, decrease or concavely increase in the product valuations, dual pricing with purchase hassle reduces sellers' profits. When consumers' hassle costs are convex increasing in their product valuations and the relative increasing rate is high, sellers can obtain additional profit through dual pricing. Moreover, under dual pricing, consumers' utility is non-monotonic in their product valuations. Finally, we extend our model to the case where the former full price is kept while switching to dual pricing, the case with network effects, the case where the cost to sellers of offering dual pricing is higher than single pricing, as well as the implications on consumer surplus. In these cases, our findings remain applicable.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"280 ","pages":"Article 109479"},"PeriodicalIF":9.8,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143138116","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":"Application of analytics in food retailing to improve online order picking time estimations","authors":"Mar Vazquez-Noguerol, J. Carlos Prado-Prado","doi":"10.1016/j.ijpe.2024.109497","DOIUrl":"10.1016/j.ijpe.2024.109497","url":null,"abstract":"<div><div>Offering a good online grocery shopping service is becoming an increasingly crucial aspect for food retailers due to the highly competitive nature of this sector. To avoid large investments, many supermarket chains have adopted an in-store strategy, where online orders are picked in traditional stores. In order to successfully implement this omnichannel strategy, retailers need to plan shared organisational structures and methods correctly. The purpose of this study is to determine the extent to which certain characteristics of store and online orders influence the order picking time. Through an empirical analysis conducted in a Spanish e-grocer, a multiple linear regression model is proposed to estimate online order picking time. The research method proposed herein enables e-grocers to plan fulfilment operations, organise resources properly, and define and adjust their capacity to respond efficiently to market demand. We present an innovative research application that deeply integrates analytics into retail operations to improve industry practice and strengthen the theoretical foundation. Our contribution serves to support and evaluate the informed decision making process along the supply chain by optimising the use of resources and facilitating more efficient online order picking scheduling.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"280 ","pages":"Article 109497"},"PeriodicalIF":9.8,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143137352","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Amir Pirayesh , Alireza Asadaraghi , Mehrdad Mohammadi , Ali Siadat , Olga Battaïa
{"title":"A dynamic optimization model for vaccine allocation with age considerations: A study inspired by the COVID-19 pandemic","authors":"Amir Pirayesh , Alireza Asadaraghi , Mehrdad Mohammadi , Ali Siadat , Olga Battaïa","doi":"10.1016/j.ijpe.2024.109474","DOIUrl":"10.1016/j.ijpe.2024.109474","url":null,"abstract":"<div><div>In a pandemic situation, an effective vaccination campaign is seen as a powerful tool to prevent the spread of infectious diseases and reduce fatalities. However, its success highly depends on its organization and combination with other measures. To help the decision-makers in this endeavor, this paper proposes a Mixed-Integer Linear Programming - Vaccine Allocation (MILP-VA) model to plan the vaccination campaign to minimize the number of possible fatalities over a given period. To better integrate the pandemic dynamics, this model is coupled with a single-dose Susceptible-Vaccinated-Infected-Recovered (SVIR) model where the compartmentalization of the population allows for the adjustment of different demographic and epidemiological parameters based on age categories and their social interactions. This approach is proven to suit populations with heterogeneous age groups better. The applicability of the proposed SVIR-MILP-VA model is illustrated using a case study inspired by the COVID-19 pandemic. Accordingly, an extensive numerical analysis was conducted to test various managerial, epidemiological, and behavioral conditions, such as vaccine availability, transmission rates, and vaccine hesitancy. This approach facilitates robust discussions to address the uncertainties of an emerging pandemic and provides a solid foundation for informed vaccination decisions in real-world settings. The results are discussed, and the findings are formulated as insights for researchers and practitioners.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"280 ","pages":"Article 109474"},"PeriodicalIF":9.8,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143138113","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":"Coordination in agri-food supply chains: The role of Geographical Indication certification","authors":"Jakob Rackl, Luisa Menapace","doi":"10.1016/j.ijpe.2024.109494","DOIUrl":"10.1016/j.ijpe.2024.109494","url":null,"abstract":"<div><div>We examine the role of Geographical Indication (GI) certification in coordinating small- and medium-sized food suppliers and large-scale retailers in agri-food supply chains, where retailers seek to procure high-quality goods. Our main contributions are twofold. First, using a principal–agent framework with asymmetric information about supplier efficiency in quality production, we develop a signalling model that illustrates how GI certification enhances the coordination effect of procurement contracts by improving the ability of the retailer to identify efficient suppliers and increasing the provision of high-quality goods. The model also yields predictions about the impact of a supplier’s GI certification status and size on the retailer’s expected profits. Second, using a novel dataset from a survey of 476 small- and medium-sized food craft suppliers in Germany, we provide evidence supporting the theoretical model’s predictions regarding the effects of GI certification and supplier size on the retailer’s expected profits. Specifically, we estimate a structural equation model (SEM) that matches the equilibrium equations describing retailer and supplier behaviour in the theoretical model and links the probability of a transaction to a supplier’s GI certification and size. Our findings from instrumental variable (IV) approaches and propensity score matching (PSM) indicate that GI-certified suppliers are 19.9% to 42% more likely to transact with a retailer than non-certified suppliers, and medium-sized suppliers are 11.7% to 26.3% more likely to transact with a retailer than micro- or small-sized suppliers. These results suggest a potential role for GI certification in supplier-retailer coordination.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"280 ","pages":"Article 109494"},"PeriodicalIF":9.8,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143138123","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}