International Journal of Production Economics最新文献

{"title":"How lean and industry 4.0 affect worker outcomes and operational performance: A quantitative assessment of competing models","authors":"Alejandro G. Frank ,&nbsp;Timothy J. Sturgeon ,&nbsp;Guilherme B. Benitez ,&nbsp;Giuliano A. Marodin ,&nbsp;Samantha Ferreira e Cunha","doi":"10.1016/j.ijpe.2024.109475","DOIUrl":"10.1016/j.ijpe.2024.109475","url":null,"abstract":"<div><div>This study explores the relationship between Lean Manufacturing and Industry 4.0, two paradigms that have shaped modern manufacturing. While Lean Manufacturing seeks to optimize sociotechnical systems by integrating workers, processes, and technologies, the focus of Industry 4.0 is to integrate digital technologies into manufacturing processes. Related literature has considered a diversity of relationships between Lean and Industry 4.0 but used contradictory models to explain their associations to operational performance. Also, while much attention has been given to the contribution of Lean and Industry 4.0 to operational performance, little is known about their effect on worker outcomes. Therefore, we aim to investigate how these two paradigms interact and their effects on both operational performance and worker outcomes. We propose competing research models – mediation and moderation – to explain plausible relationships between Lean and Industry 4.0 on worker outcomes and operational performance. We test these models through empirical analysis of survey data from 415 manufacturing companies. Our results reveal that Industry 4.0 technologies act as antecedents when they are used to enhance Lean practices for operational performance (Lean as mediator) but serve as moderators in shaping worker outcomes within Lean systems. We also examine the detailed relationships between specific Lean bundles and Industry 4.0 technologies. Our findings highlight the need to strategically balance the adoption of technologies that support Lean for operational performance improvements with technologies that modify worker activities to enhance overall worker outcomes. We contribute to reconciling different perspectives on Lean and Industry 4.0 in the design of sociotechnical manufacturing systems.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"279 ","pages":"Article 109475"},"PeriodicalIF":9.8,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142707259","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":"Sustainability diffusion in the Chinese semiconductor industry: A stakeholder salience perspective","authors":"Shuang Tian ,&nbsp;Miao Wang ,&nbsp;Lin Wu ,&nbsp;Ajay Kumar ,&nbsp;Kim Hua Tan","doi":"10.1016/j.ijpe.2024.109470","DOIUrl":"10.1016/j.ijpe.2024.109470","url":null,"abstract":"<div><div>The semiconductor sector plays a crucial role in shaping national strategies and driving economic growth; however, it faces significant challenges prompting a shift towards sustainable development. This study aims to investigate whether sustainability initiatives of the focal firm can diffuse throughout the semiconductor supply chain, leveraging stakeholder salience theory and archival data from listed firms in China. Methodologically, we conduct a regression analysis using STATA 17.0 to examine the impact of the focal firm's sustainability disclosure on supply chain sustainability. Findings indicate a positive correlation between the focal company's sustainability disclosure and enhanced sustainability performance of its key suppliers and customers. This relationship is strengthened when the focal firm demonstrates significant market power, sustainability legitimacy, and urgency in addressing sustainability concerns. Our study contributes to the sustainable supply chain management literature by elucidating sustainability diffusion from a stakeholder salience perspective and offers practical insights for semiconductor managers and policymakers striving to foster sustainable practices within the sector.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"279 ","pages":"Article 109470"},"PeriodicalIF":9.8,"publicationDate":"2024-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142706875","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":"Optimizing floating crane operations for efficient bulk product transshipments on inland waterways","authors":"Rapeepan Pitakaso ,&nbsp;Kanchana Sethanan ,&nbsp;Chettha Chamnanlor ,&nbsp;Shu-Kai S. Fan ,&nbsp;Ming-Lang Tseng ,&nbsp;Ming K. Lim","doi":"10.1016/j.ijpe.2024.109469","DOIUrl":"10.1016/j.ijpe.2024.109469","url":null,"abstract":"<div><div>In the realm of global supply chains, the optimization of floating crane operations for bulk product transshipment via inland waterways emerges as a crucial necessity to address economic, operational, and environmental imperatives. This research identifies a significant gap in existing methodologies for the scheduling, routing, and assignment of floating cranes, which are essential for improving efficiency and sustainability in maritime logistics. To bridge this gap, we propose the Reinforcement Learning Variable Neighbourhood Strategy Adaptive Search (RL-VaNSAS) algorithm, a novel integration of reinforcement learning with variable neighbourhood search strategies. This advanced model aims to holistically minimize energy consumption, labor costs, and penalty costs, while simultaneously enhancing service efficiency. Through rigorous simulations, RL-VaNSAS was benchmarked against conventional methods such as Differential Evolution (DE), Genetic Algorithm (GA), and the original Variable Neighbourhood Search Adaptive Strategy (VaNSAS), revealing its superior capability in significantly reducing annual energy costs to $1,211,948, labor costs to $270,948, penalty costs to $19,948, and operational hours to 12,087. Demonstrating notable advancements in operational efficiency and cost reduction, RL-VaNSAS offers a sustainable solution to the dynamic challenges of maritime logistics, characterized by fluctuating vessel arrivals and diverse cargo requirements. The findings illuminate the critical need for innovative optimization techniques in enhancing the sustainability and efficiency of maritime logistics operations. RL-VaNSAS not only fills the identified research gap but also sets a new standard for future endeavors in global supply chain management, underlining the importance of adopting advanced optimization strategies for sustainable production and economic growth.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"279 ","pages":"Article 109469"},"PeriodicalIF":9.8,"publicationDate":"2024-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142706877","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":"Integrating collaboration scenarios and workforce individualization in collaborative assembly line balancing","authors":"Ali Keshvarparast,&nbsp;Niloofar Katiraee,&nbsp;Serena Finco,&nbsp;Martina Calzavara","doi":"10.1016/j.ijpe.2024.109450","DOIUrl":"10.1016/j.ijpe.2024.109450","url":null,"abstract":"<div><div>Integrating collaborative robots into assembly lines represents a significant opportunity for industries to execute tasks autonomously or support human workers in response to the advancements of Industry 4.0. Human-robot collaboration (HRC) is an appropriate solution to enhance the productivity of manual systems compared to traditional robots. However, to ensure the success of HRC implementation, it is necessary to investigate the production systems, considering several influencing factors. Workforce diversity can be mentioned as one of the factors since workers may possess different skills and experience levels, as well as varying levels of fatigue. Therefore, creating a realistic and effective optimization model that includes workforce diversity is crucial. This study proposes a mathematical model to optimize a human-robot collaborative assembly line performance to minimize the cycle time. The model integrates several collaborative scenarios (i.e. sequential, simultaneous, supportive and all possible combinations), and the workforce differences are considered in terms of skill level and fatigue, allowing the flexible selection of collaboration scenarios across the assembly line and assigning workers and cobots to stations based on individual characteristics. Finally, the proposed model is applied in a case study to provide results and some managerial insights for practitioners.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"279 ","pages":"Article 109450"},"PeriodicalIF":9.8,"publicationDate":"2024-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142706876","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":"Collaborative supply chain network design under demand uncertainty: A robust optimization approach","authors":"Qihuan Zhang ,&nbsp;Ziteng Wang ,&nbsp;Min Huang ,&nbsp;Huihui Wang ,&nbsp;Xingwei Wang ,&nbsp;Shu-Cherng Fang","doi":"10.1016/j.ijpe.2024.109465","DOIUrl":"10.1016/j.ijpe.2024.109465","url":null,"abstract":"<div><div>This paper studies a collaborative robust supply chain network design (CRSCND) problem aimed at maximizing economic and social benefits by enabling enterprises to jointly address demand uncertainties. Through strategies including joint inventory replenishment, shared distribution centers (DCs), and pooled transportation resources, the CRSCND problem seeks to optimize plant and DC locations and the allocation of DCs to customers under a collaborative framework. To address this, we develop two robust optimization models incorporating a budget uncertainty set, each model representing a distinct risk-pooling policy. These models are then reformulated into solvable linear programming structures. Results from numerical experiments confirm the cost-reduction benefits of collaboration and robust optimization. Sensitivity analysis reveals that factors like violated probability and high demand volatility minimally impact cost savings enabled by collaboration and robustness. Moreover, each robust model shows distinct suitability depending on specific scenario parameters. Finally, we test three cost-saving allocation mechanisms, finding that only the Shapley value method yields best allocations in cases involving overlapping demand.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"279 ","pages":"Article 109465"},"PeriodicalIF":9.8,"publicationDate":"2024-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142652524","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":"Logistics service sharing in cross-border e-commerce","authors":"Zohreh Khooban,&nbsp;Nevin Mutlu,&nbsp;Ton de Kok","doi":"10.1016/j.ijpe.2024.109460","DOIUrl":"10.1016/j.ijpe.2024.109460","url":null,"abstract":"<div><div>While the demand for cross-border e-commerce has grown rapidly, challenges have emerged for both retailers and consumers participating in this global market. Retailers have been struggling with high logistics costs to fulfill cross-border demand, while the lack of trust in foreign retailers is a major issue for consumers. In this paper, we study a cross-border collaboration scheme between a domestic and a foreign retailer to mitigate these challenges. This entails a co-opetition framework where the domestic retailer performs the last-mile delivery of the foreign retailer’s orders in exchange for a logistics service fee. We model demand via a Multinomial Logit (MNL) choice model where the consumers are trust- and price-sensitive. We compare the market outcomes of the two retailers in “pre-collaboration” and “post-collaboration” settings. We find that there exist win-win outcomes where both retailers benefit from collaboration under realistic settings. We also show that a cooperative mechanism can lead to higher profits for both retailers compared to the non-cooperative mechanism for setting the logistics service fee, if the contract terms are decided carefully.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"279 ","pages":"Article 109460"},"PeriodicalIF":9.8,"publicationDate":"2024-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142652523","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":"Implementing intelligent manufacturing policies to increase the total factor productivity in manufacturing: Transmission mechanisms through construction of industrial chains","authors":"Yang Liu ,&nbsp;Yuxiao Zuo","doi":"10.1016/j.ijpe.2024.109468","DOIUrl":"10.1016/j.ijpe.2024.109468","url":null,"abstract":"<div><div>In recent years, the Chinese government has focused on implementing intelligent manufacturing policies to improve the total factor productivity of the manufacturing industry. Using a sample of listed manufacturing companies from 2010 to 2022, we examined the long-term economic effects of government intelligent manufacturing policy incentives on the total factor productivity of the manufacturing industry. We systematically explored its transmission mechanism in the construction of industrial chains. The study found that the implementation of intelligent manufacturing policies significantly improved the level of total factor productivity in the manufacturing industry. Mechanism analysis found that intelligent manufacturing policies promoted the construction of the manufacturing industry chain through three paths: optimizing industrial chain integration, enhancing industrial chain spillover, and strengthening industrial chain resilience, thereby promoting the improvement of total factor productivity. Further analysis found significant differences in the implementation effects of different policy types and technology requirements.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"279 ","pages":"Article 109468"},"PeriodicalIF":9.8,"publicationDate":"2024-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142652522","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 Attended Home Delivery: Multiple recovery options and customer availability profiles to face synchronization failures","authors":"Valentina Bonomi ,&nbsp;Daniele Manerba ,&nbsp;Renata Mansini ,&nbsp;Roberto Zanotti","doi":"10.1016/j.ijpe.2024.109463","DOIUrl":"10.1016/j.ijpe.2024.109463","url":null,"abstract":"<div><div>In the growing sector of Attended Home Delivery, unsynchronized deliveries between couriers and recipients affect both customers’ satisfaction and companies’ costs. Hence, reducing such failures improves companies’ service quality and logistics efficiency. To address this issue, we study an Attended Home Delivery Problem with Recovery Options (AHDPRO) in which customers specify their probability of being at home during different timeslots of the day and their preferred recovery option in case of a synchronization failure. The options include leaving the package in a predefined safe location, bringing it to a generic collection point, or scheduling a second delivery attempt. Each alternative involves different costs and, in most cases, additional operational decisions. The AHDPRO aims to complete all customer deliveries while minimizing overall routing times as well as the overall penalty due to the recovery actions implemented and weighted by the probability of a synchronization failure to occur. We propose a branch-and-cut algorithm, including valid inequalities and heuristic procedures, to solve a Mixed-Integer Linear Programming model based on an expanded graph. Using the developed method as a tool for evaluating costs and operations, we conduct an experimental campaign on scenarios adapted from the literature involving lexicographic-based optimization procedures able to address the multiple attributes of the solutions. The results obtained allow us to assess the impact of the different recovery options on the optimal solutions and their values. Additionally, the results yield several managerial insights for companies operating in the Attended Home Delivery sector, such as the timeslot length, perceived service quality, and other key operational factors contributing to efficient planning and improved customer satisfaction.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"279 ","pages":"Article 109463"},"PeriodicalIF":9.8,"publicationDate":"2024-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142706874","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":"Strategic interactions between manufacturer channel choice and platform entry in a dual-market system","authors":"Zhaofang Mao ,&nbsp;Ruiying Yuan ,&nbsp;Zuo-Jun Max Shen","doi":"10.1016/j.ijpe.2024.109462","DOIUrl":"10.1016/j.ijpe.2024.109462","url":null,"abstract":"<div><div>The full lifecycle concept has prompted sellers to provide ancillary services or products based on traditional product sales, leading to a dual-market system consisting of a base market and an add-on market. In this study, we consider a manufacturer selling base products through an online retail platform and then selling add-on products directly to consumers who have purchased base products. We investigate how the manufacturer’s distribution channel strategy in the base market interacts with the platform’s entry strategy in the add-on market. Results show that under the reselling (agency) channel, the platform’s entry of the add-on market enables the manufacturer to increase the wholesale price (reduce selling quantities to enjoy a higher margin) in the base market. We call this <em>wholesale price effect (sales-control effect)</em> caused by the platform’s entry. If the manufacturer adopts the agency (reselling) channel in the base market, the platform prefers (not) to enter the add-on market to compete with the manufacturer; if the manufacturer adopts the dual-channel, the platform enters only if both the commission rate and channel competition are high. Furthermore, the manufacturer prefers the dual-channel when both the commission rate and channel competition are low. Interestingly, due to the interactions between the two firms, the manufacturer will adopt the agency channel instead when the commission rate is extremely high. Finally, we examine conditions under which the platform has incentives to allow the manufacturer to change from a single-channel to a dual-channel in the base market.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"279 ","pages":"Article 109462"},"PeriodicalIF":9.8,"publicationDate":"2024-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142652521","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":"Competition and organizational structure co-optimization of OEMs in a product-service supply chain","authors":"Kai Li ,&nbsp;Mengqing Zhang ,&nbsp;Tao Zhou ,&nbsp;Bohai Liu","doi":"10.1016/j.ijpe.2024.109457","DOIUrl":"10.1016/j.ijpe.2024.109457","url":null,"abstract":"<div><div>Smart Connected Products (SCPs) and Digital Services (DSs) play pivotal roles in facilitating the digital and intelligent transformation of the manufacturing industry. In the context of the service-oriented transformation of manufacturing, SCPs are sold by Original Equipment Manufacturers (OEMs) via a retailer, whereas DSs are either provided directly by OEMs or indirectly through the retailer, thereby forming a product-service supply chain. This paper constructs a three-stage dynamic game model and analyzes two DS strategies, i.e., integrated and separated DS strategies, for competing OEMs by integrating and separating manufacturing and DS departments. These strategies encompass four scenarios: both OEMs integrate them, both separate them, and one OEM integrates while the other separates them. We analyze the equilibrium DS levels, the prices of SCPs and DSs, demands, and profits in four scenarios, and explore the service and pricing decisions of supply chain members at equilibrium. The results indicate that OEMs can achieve higher profitability by separating manufacturing and DS departments as competition intensity increases within a certain range. Secondly, when both OEMs adopt the same strategy, integration of departments is more profitable if competition is low, whereas separation yields higher profits when competition is intense. Interestingly, two Nash equilibria emerge: an OEM achieves the highest profit by adopting an integrated DS strategy in an asymmetric scenario when competition is weak and digital R&amp;D is challenging. Conversely, both OEMs can reach a Nash equilibrium by separating their departments when competition is intense and digital R&amp;D is relatively simple. Thirdly, from the perspective of the retailer and the entire supply chain, integrating manufacturing-service at both OEMs provides the highest return when competition is low. However, under intense competition, the highest profits are achieved when OEMs adopt different DS strategies. Finally, in a highly competitive market without a retailer, an asymmetric scenario proves most profitable when digital R&amp;D investment is low, whereas separating manufacturing-service yields the highest profits when digital R&amp;D investment is high.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"279 ","pages":"Article 109457"},"PeriodicalIF":9.8,"publicationDate":"2024-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142652518","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}