International Journal of Production Economics最新文献

{"title":"Identifying assets exposed to physical climate risk: A decision-support methodology","authors":"Jean-Louis Bertrand ,&nbsp;Miia Chabot ,&nbsp;Xavier Brusset ,&nbsp;Valentin Courquin","doi":"10.1016/j.ijpe.2024.109355","DOIUrl":"10.1016/j.ijpe.2024.109355","url":null,"abstract":"<div><p>Climate events are increasingly affecting supply chains, leading to frequent and costly impacts. Managers lack a systematic approach to evaluate risks to individual facilities and employees. We propose a decision support methodology to help quantify the exposure of both to ten most common climate hazards. Using both historical and scenario-based climate data, the methodology distinguishes three dimensions for understanding climate risk: anomaly, extreme variability, and acceleration, applied to each peril from historical to projected data. This approach allows for the isolation of the components of climate change by peril, facilitating a better understanding of each component. Furthermore, it enables the development of adaptative responses tailored to each of the climate dimensions. A case study of a logistics group with more than 200 warehouses across 181 locations in eight European countries illustrates the approach, demonstrating its practicality and effectiveness. Our methodology offers firms, large and small, the opportunity to reinforce their resilience in the face of multiple physical risks. The metrics and scores presented in this paper can be extended to assess the growing issues of climate risks as they apply to occupational health and safety as well as natural resources management.</p></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"276 ","pages":"Article 109355"},"PeriodicalIF":9.8,"publicationDate":"2024-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0925527324002123/pdfft?md5=9e5c765041b02da6195d84c345909962&pid=1-s2.0-S0925527324002123-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141933239","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":"What are the right configurations of just-in-time and just-in-case when supply chain shocks increase?","authors":"Wantao Yu ,&nbsp;Chee Yew Wong ,&nbsp;Mark A. Jacobs ,&nbsp;Roberto Chavez","doi":"10.1016/j.ijpe.2024.109352","DOIUrl":"10.1016/j.ijpe.2024.109352","url":null,"abstract":"<div><p>Shocks caused by COVID-19 pandemic have compelled manufacturers to decrease their reliance upon just-in-time (JIT) and embrace a more just-in-case (JIC) approach. This study clarifies the right configurations of JIT and JIC under low/high upstream and downstream shocks. Drawing upon contingency theory and configuration theory, a framework is developed to differentiate configurations of JIT/JIC under low/high magnitude SC shocks. Survey data from China's manufacturing industry, which experienced SC shocks due to COVID-19, are analysed by regression and sub-group analyses. The results show that only upstream shocks have a negative impact on operational performance. The effect of JIC (but not JIT) on operational performance is strengthened by upstream and downstream shocks. When shocks are high, increasing JIC is effective only when JIT is low. These empirical findings demonstrate that manufacturers can improve operational performance by emphasising JIC models under high SC shocks. Those with high JIT benefit from low JIC under low shock settings.</p></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"276 ","pages":"Article 109352"},"PeriodicalIF":9.8,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141962236","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":"Digital governance for supplier opportunism: The mediating role of supplier transparency","authors":"Lixu Li ,&nbsp;Lujie Chen ,&nbsp;Yaoqi Liu","doi":"10.1016/j.ijpe.2024.109351","DOIUrl":"10.1016/j.ijpe.2024.109351","url":null,"abstract":"<div><p>Curtailing supplier opportunism is a critical concern for both business practitioners and supply chain researchers. However, ambiguity remains regarding the effective deployment of digital technologies (DTs) within supply chain practices to address this issue. Drawing on the asset orchestration perspective, we consider two DT deployment manners (i.e., breadth and depth) and examine their impacts on supplier transparency and supplier opportunism. We investigate 323 Chinese firms and use structural equation modeling to test the proposed hypotheses. We also conduct a scenario-based experiment involving 144 business managers to improve the robustness of our results. We find that although two DT deployment manners positively affect suppliers' cost and relationship transparency, only relationship transparency exhibits a statistically significant negative association with suppliers’ weak opportunism, rather than strong opportunism. More interestingly, of the two DT deployment manners, relationship transparency merely mediates the breadth – weak opportunism association. We advance research on supply chain governance by elucidating the nuanced role of DT deployment in curbing supplier opportunism. We also offer significant insights for firms seeking to reassess their digital supply chain plans, improve engagement with suppliers, and curb unethical practices.</p></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"275 ","pages":"Article 109351"},"PeriodicalIF":9.8,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141951268","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":"Two-dimensional warranty policy design with the consideration of protection term","authors":"Peng Liu,&nbsp;Guanjun Wang","doi":"10.1016/j.ijpe.2024.109350","DOIUrl":"10.1016/j.ijpe.2024.109350","url":null,"abstract":"<div><p>In practice, car products are sold with 2-dimensional (2D) warranty policies, on which existing literature usually assumes that the products are repaired upon failures throughout the warranty period. However, this is not always the case in real life; for example, car manufacturers may need to replace defective cars during an early period of warranty, when the total time on repairing the failures reaches a specified repair time constraint or the number of repair attempts reaches a specified repair number constraint. Motivated by this, this paper divides a warranty period into two stages: the initial protection term and the subsequent repair stage. During the initial protection term, the manufacturer needs to provide a replacement service when a specified replacement condition is satisfied; while during the subsequent repair stage, the manufacturer should provide repair services upon product failures. Taking the warranty servicing cost into account, a profit model is built. The expected total profit of the product is derived, and the optimal warranty period and product price are designed to maximize the manufacturer’s profit. Finally, numerical experiments on car examples are provided to illustrate the considered warranty policy with protection term.</p></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"276 ","pages":"Article 109350"},"PeriodicalIF":9.8,"publicationDate":"2024-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141839127","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":"Optimizing multi-channel procurement planning under disruption risks","authors":"An Liu,&nbsp;Xinyu Wang,&nbsp;Jiafu Tang","doi":"10.1016/j.ijpe.2024.109346","DOIUrl":"10.1016/j.ijpe.2024.109346","url":null,"abstract":"<div><p>Procurement plays a vital role in supply chain management, which directly affects the production, delivery, and reputation of enterprises. This paper investigates the multi-channel procurement planning problem (MCPP-R) considering the impact of disruption risk, uncertain demand and spot-market price. To meet the customer demand, the buyer can make purchases by signing a long-term contract with the primary supplier (PS), which offers certain advantages in price but may be susceptible to disruption risks. Alternatively, the buyer can enter into an option contract to retain the right to purchase from a backup supplier (BS). Additionally, the buyer can also purchase from the spot market with uncertain prices. During the procurement process, the buyer needs to decide the quantity to order from the PS and the quantity to reserve from the BS first, and then decide the quantities to reserve from a BS and the spot market respectively when the customer demand realization and spot-market price emerge. The MCPP-R is to find the optimal procurement portfolio solution with the minimum expected total procurement cost, formulated as a two-stage stochastic programming model. Due to the non-convex and non-continuous nature, the MCPP-R model is solved optimally by transforming equivalently into a shortest-path problem (SPP) with constraints. The solution method does not have specific requirements for the distribution of uncertain demand and spot-market price. We conduct extensive numerical experiments to analyze the impact of risk and uncertainty in demand and spot-market price on the procurement plan. The experimental analysis indicates that BS plays a crucial role in most cases, particularly with high disruption probability or high spot-market price.</p></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"275 ","pages":"Article 109346"},"PeriodicalIF":9.8,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141841049","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":"Collaborative strategies in the product-sharing market considering manufacturer's capital entry","authors":"Xiaoxiao Chang,&nbsp;Lindu Zhao","doi":"10.1016/j.ijpe.2024.109345","DOIUrl":"10.1016/j.ijpe.2024.109345","url":null,"abstract":"<div><p>Digital technology and online platforms have enabled large-scale business-to-consumer (B2C) sharing of normalized products. Recently, B2C sharing platforms have also become very popular. The impact of B2C sharing on traditional manufacturers can be very significant. With increased competition on the business end, many manufacturers (e.g., BYD and Didi; FAW and T3) have accessed the sharing market to provide customized products and technology services in addition to outright sales to platforms. This paper studies a capital-constrained sharing platform and manufacturer's optimal collaborative strategy in the sharing market and the economic implications of their collaboration. We propose a decomposition framework to establish three capital collaborative strategies based on a non-collaborative strategy (N-with-C), which is associated with different levels of the platform's capital and the manufacturer's capital entry. The three collaborative strategies are physical capital collaboration without service capital constraints (P-without-SC), physical capital collaboration with physical and service capital constraints (P-with-SC) and physical and service capital collaboration with physical and service capital constraints (PS-with-SC). We employ a game-theoretic analytical model for our analysis. Our results show that (i) the choice of a certain collaboration strategy depends on the platform's and manufacturer's decisions and how such interaction is affected by decision parameters such as initial capital level, claim proportion, spillover of product launch quantity, utilization efficiency and service efficiency; (ii) with a decrease in the platform's capital level, the N-with-C strategy gradually ceases to be the sharing platform's strategy choice; and (iii) with the manufacturer's service entry, the manufacturer suffers a complete reversal of the optimal strategy choices when choosing between the non-collaborative strategy and collaborative strategies, but P-with-SC is better than non-collaboration under a higher claim proportion and the sharing platform always prefers to collaborate. These results suggest that an increasing asymmetry of capital input and control rights influences the level of collaboration between the sharing platform and manufacturer.</p></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"275 ","pages":"Article 109345"},"PeriodicalIF":9.8,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141843552","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":"A Bi-objective location-routing model for the healthcare waste management in the era of logistics 4.0 under uncertainty","authors":"Kannan Govindan ,&nbsp;Fereshteh Sadeghi Naieni Fard ,&nbsp;Fahimeh Asgari ,&nbsp;Shahryar Sorooshian ,&nbsp;Hassan Mina","doi":"10.1016/j.ijpe.2024.109342","DOIUrl":"10.1016/j.ijpe.2024.109342","url":null,"abstract":"<div><p>The purpose of this study is to apply Industry 4.0-based technologies to improve the management of infectious healthcare waste considering location-routing problem and population risk under uncertainty. To achieve this, a decision support system is developed and implemented utilizing a bi-objective mixed-integer linear programming (MILP) model. The bi-objective MILP model improves the performance of the healthcare waste management by applying Industry 4.0 technologies, including electric autonomous vehicles, information sharing system, internet of things (IoT), Global Navigation Satellite System (GNSS), and RFID-tagged waste bags. We develop a multi-objective solution approach by integrating the lexicographic and TH methods. The validity of the model has been established through its implementation in seven hospitals in the city of Karaj, Iran. The results denoted significant improvements in waste collection efficiency, route optimization, and the reduction of contamination risks.</p></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"276 ","pages":"Article 109342"},"PeriodicalIF":9.8,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141840718","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":"Additive manufacturing service bureau selection: A Bayesian network integrated framework","authors":"Sagar Ghuge ,&nbsp;Milind Akarte","doi":"10.1016/j.ijpe.2024.109348","DOIUrl":"10.1016/j.ijpe.2024.109348","url":null,"abstract":"<div><p>Additive manufacturing service bureaus (AMSBs) are crucial for enabling manufacturing organizations to leverage the benefits of additive manufacturing (AM) technology, such as on-demand manufacturing, production speed, etc., all while eliminating the expense of maintaining inventories. Consequently, many organizations favor AMSBs for expertise, cost efficiency, and access to diverse equipment, materials, and post-processing, reducing the necessity for substantial in-house investments. While researchers have explored evolving business models and the types of AM services offered by AMSBs to some extent, there is a noticeable research gap in selecting the most compatible AMSB for specific customer requirements, which this research would like to address. Initially, this research identifies various types of services offered by AMSBs, classifying them into eight groups: generative, evaluative, explorative, facilitative, constructive, decisive, selective, and assistive. Then, a knowledge-based expert system is introduced to select a suitable type of AM service. Further, 101 AMSB selection criteria are identified and grouped into criteria and sub-criteria by incorporating insights from literature and experts. Then, 26 pertinent criteria were shortlisted through Delphi. Neutrosophic best-worst method is then utilized to quantify criteria weights. Finally, a Bayesian network is used to calculate the selection probability of each AMSB, identifying the AMSB with the highest probability as the most compatible. The robustness of this framework is validated through sensitivity analysis. The practical effectiveness of the framework was demonstrated through a case study involving Ferro Oil-Tech India Private Limited. The analysis of the results provided valuable managerial insights and suggested ways to enhance the business competitiveness of the organization.</p></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"276 ","pages":"Article 109348"},"PeriodicalIF":9.8,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141839658","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":"Recovering from geopolitical risk: An event study of Huawei's semiconductor supply chain","authors":"Ying Kei Tse ,&nbsp;Kyra Dong ,&nbsp;Ruiqing Sun ,&nbsp;Robert Mason","doi":"10.1016/j.ijpe.2024.109347","DOIUrl":"10.1016/j.ijpe.2024.109347","url":null,"abstract":"<div><p>Amidst the ongoing globalisation of supply chains, geopolitical issues have emerged as a significant source of supply chain risk for firms. This has recently been illustrated in the trade sanctions adopted by the US against the Chinese semiconductor industry, particularly in the accessing of semiconductor chips. A notable event here, that we focus on in this paper, involves how the leading telecommunications company Huawei has been impacted by this and most interestingly how they have been able to respond, by being able to successfully launch new chip-based products during the US semiconductor chip technology blockade, despite the sanctions ban. This has been achieved with the support of key supplier, SMIC, who has become a major 7 nm chip supplier for Huawei. Employing the event study research method, this study initially examines the stock market's response to Huawei's new product release with these new SMIC-sourced semiconductor chips. It also appraises the propagation effects on Huawei's and SMIC's supply chain partners. This exposes the differential impact on the supply chain members of Huawei (focal firm) and SMIC (main supplier). The results reveal predominantly positive responses from Huawei's suppliers and customers, as well as SMIC's suppliers and customers, to these incidents, with Huawei's suppliers' and SMIC's suppliers' and customers' share prices responding positively to the release of Huawei's new product, exhibiting substantial median stock market reaction of 1.53%, 1.62%, and 2.52% on Day 0, respectively, it shows, in contrast, that Huawei's customers did not exhibit a positive share price reaction to the development of this newly sourced product. It is noteworthy that SMIC's supply of chips to Huawei has had a significantly positive impact on both Huawei and SMIC's suppliers and customers. With the impact varying across different roles within the supply chains, this study provides useful insights for understanding the propagation effect of good news in the supply chain resulting from firms' proactive action in response to imposed sanctions for a key supply component.</p></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"275 ","pages":"Article 109347"},"PeriodicalIF":9.8,"publicationDate":"2024-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0925527324002044/pdfft?md5=9554e0fccc077b2d16042cd60dd5a212&pid=1-s2.0-S0925527324002044-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141843930","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":"A matter of fit? Service configurations for customer loyalty","authors":"Zhaojun Han ,&nbsp;Rachel W.Y. Yee ,&nbsp;Andy C.L. Yeung","doi":"10.1016/j.ijpe.2024.109340","DOIUrl":"10.1016/j.ijpe.2024.109340","url":null,"abstract":"<div><p>Improving customer loyalty is paramount for service companies. Nevertheless, the task is riddled with challenges, as evidenced by existing studies that have unveiled dilemmas and presented mixed findings. Our study takes the configurational approach and argues that developing customer loyalty is a matter of fit among relevant design choices in the service context. Specifically, we investigate how the service configurations among service rules formalization (SRF), service employee commitment (SEC), service contact time (SCT), and cost leadership strategy (CLS) yield customer loyalty intention (CLI) in a service context characterized by certain customer contacts. We conduct a multi-respondent survey covering managers, employees, and customers to collect data from 141 service shops in Hong Kong. To analyze the collected data, we employ fuzzy-set qualitative comparative analysis (fsQCA). The results show that the combinations of low SRF, high SEC, and high SCT and of high SEC and low SCT under CLS lead to high CLI. This research offers valuable insights into the configurational design for customer-contact services and the practical means of promoting customer loyalty in customer-contact service firms.</p></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"275 ","pages":"Article 109340"},"PeriodicalIF":9.8,"publicationDate":"2024-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141960040","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}