International Journal of Production Economics最新文献

{"title":"A deterministic fluid model for production and energy mode control of a single machine","authors":"Barış Tan ,&nbsp;Oktay Karabağ","doi":"10.1016/j.ijpe.2024.109418","DOIUrl":"10.1016/j.ijpe.2024.109418","url":null,"abstract":"<div><div>Improving machines’ energy efficiency through dynamic energy mode control to meet demand requirements with minimal energy consumption is a promising approach. This study considers a machine operating in working, idle, off, and warmup energy modes with different energy consumption in each mode. A deterministic fluid model is developed to analyze an energy mode control policy that determines when to keep the machine working, off or idle, and switch to other modes based on the inventory/backlog level to minimize the total energy, inventory, and backlog costs. This approach facilitates the derivation of closed-form expressions for the optimal thresholds and the associated costs. This modeling approach allows us to prove that a policy that operates the machine between the working and off modes or the working and idle modes is always better than a hybrid policy that operates the machine in working, off, and idle modes simultaneously. We use the solution of the deterministic fluid model to propose an approximate policy for machines with stochastic production, warmup, and demand processes. We compare the results of the proposed approximation method with the optimal solution of a stochastic system where the production and warmup times are exponential and the demand inter-arrival times have Erlang distribution. The optimal solution for the stochastic system is determined by solving a Markovian Decision Process (MDP). Our numerical experiments show that the proposed approximation method predicts the optimal policy type for the stochastic case with a 89.3% accuracy, and the average error between the optimal cost and the cost obtained with the approximation method is 1.37% for 729 different cases tested. Furthermore, the computational efficiency of the proposed approximation is around 250 times better than the effort to determine the optimal policy using an MDP approach. We propose this approximation method where the control parameters are given in closed form as an easy-to-implement and effective policy to control energy modes to minimize the total energy, inventory, and backlog costs. Furthermore, we present the deterministic fluid modeling approach as a versatile approach to analyze energy mode control problems.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"278 ","pages":"Article 109418"},"PeriodicalIF":9.8,"publicationDate":"2024-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142419917","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":"Efficient optimization of robust project scheduling for industry 4.0: A hybrid approach based on machine learning and meta-heuristic algorithms","authors":"Alireza Goli","doi":"10.1016/j.ijpe.2024.109427","DOIUrl":"10.1016/j.ijpe.2024.109427","url":null,"abstract":"<div><div>This research contributes significantly to the domain of Industry 4.0 by offering a nuanced approach to the multi-objective optimization of the resource-constrained project scheduling problem (RCPSP) under uncertainty. Focused on the context of smart product platforming, this study introduces a novel methodology that not only considers traditional factors like time and cost but also incorporates quality and risk aspects, crucial for personalized product fulfillment. In this regard, a comprehensive four-objective mathematical model is proposed to minimize project completion time, total project costs, and project risks while simultaneously enhancing overall project quality. Real-world uncertainty is acknowledged through the incorporation of uncertain parameters for the time, risk, and quality associated with each project activity. To address this uncertainty, a robust optimization method is applied based on Bertsimas and Sim's approach. Moreover, to optimize the proposed model, the Hybrid Red Deer and Genetic Algorithm (HRDGA) is proposed, which is leveraging a machine learning approach for clustering solutions. The numerical results demonstrate that increasing the project budget by 30% leads to an upward trend in total project costs and a reduction in the minimum acceptable quality by 10%–30% results in a decreasing trend in the total project cost. This research emphasizes the adoption of Industry 4.0 enabling technology within the project scheduling platform, particularly highlighting its significance for personalized product fulfillment.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"278 ","pages":"Article 109427"},"PeriodicalIF":9.8,"publicationDate":"2024-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142419736","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":"Resilience strategies in an intertwined supply network: Mitigating the vulnerability under disruption ripple effects","authors":"Huanyu Ren ,&nbsp;Chao Wang ,&nbsp;Dong Mu ,&nbsp;Ming K. Lim ,&nbsp;Xiongping Yue ,&nbsp;Xiaoqian Hu ,&nbsp;Rui Peng ,&nbsp;Yu-Chung Tsao","doi":"10.1016/j.ijpe.2024.109419","DOIUrl":"10.1016/j.ijpe.2024.109419","url":null,"abstract":"<div><div>Intertwined supply network (ISN) is a complex system consisting of multiple interconnected supply chains orchestrated by different focal firms. The inherent interconnectedness of an ISN makes it vulnerable to localized disruptions, which can propagate through intricate supplier-buyer relationships, causing unpredictable disruption ripple effects that exacerbate vulnerabilities. While existing literature provides valuable insights into the vulnerability of supply networks with a single focal firm, less attention has been given to ISN comprising multiple competing focal firms. This study proposes an agent-based model to simulate the diffusion of disruption ripple effects in a realistic ISN. The model is used to assess the relative effects of firms' structural and operational attributes on vulnerability and to compare the effectiveness of three mainstream resilience strategies—resistance, adaptation, and recovery—in mitigating the overall vulnerability of ISN. Furthermore, the interaction of resilience strategies initiated by different focal firms in the ISN is explored. The results suggest that focal firms should prioritize their own structural attributes and those of their neighboring firms to address vulnerabilities effectively. Moreover, focal firms can identify partners with higher reciprocity and engage in cooperation for resilience investment. This study contributes to the understanding of ISN vulnerability and provides practical insights for developing effective resilience strategies in complex supply networks.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"278 ","pages":"Article 109419"},"PeriodicalIF":9.8,"publicationDate":"2024-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142419937","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 ordering, production, and replenishment in a supply chain for innovative products: A two-echelon newsvendor problem with partial information in yield and demand","authors":"Yujie Zhao ,&nbsp;Hong Zhou ,&nbsp;Kai Kang ,&nbsp;Bingsheng Liu","doi":"10.1016/j.ijpe.2024.109414","DOIUrl":"10.1016/j.ijpe.2024.109414","url":null,"abstract":"<div><div>With partial yield and demand information, we investigate a two-echelon newsvendor problem in a supply chain for innovative product, in which the retailer and the supplier make sequential decisions in ordering, production, and replenishment, respectively. We adopt the minimax-regret criterion to assume the risk-averse nature and deduce the minimax-regret inventory decisions. We explore replenishment (emergency) production strategies for the supplier. Then we propose shortage penalty strategies as well as subsidized replenishment strategies for the retailer so that the supplier can maintain the required supply even under higher replenishment production costs. We further reveal the role of information uncertainty in the minimax-regret decisions and the bullwhip effect. Interestingly, the results show that the penalty strategies do not always lead to less regret for the retailer, and the information uncertainty does not necessarily lead to greater regret for the supplier. Moreover, some schemes to reduce the bullwhip effect are proposed, such as improving the accuracy of uncertain yield, increasing shortage penalty or replenishment subsidy, and decreasing replenishment cost. It is verified that the replenishment strategies can increase profits for both the retailer and the supplier under some conditions. In extensions, we reveal the supplier’s preference for emergency production and external procurement, as well as preferences for information sharing and confidentiality. Meanwhile, we find that decentralized decision-making may even outperform centralized decision-making in some situations when the minimax-regret criterion is adopted to deal with the information deficiency. Finally, the robustness of the replenishment strategies in reducing both enterprises’ regrets is checked.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"279 ","pages":"Article 109414"},"PeriodicalIF":9.8,"publicationDate":"2024-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142578498","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":"Blockchain-enabled downward traceability to combat gray market","authors":"Jianghua Wu,&nbsp;Hongya Cheng,&nbsp;Luyao Li","doi":"10.1016/j.ijpe.2024.109415","DOIUrl":"10.1016/j.ijpe.2024.109415","url":null,"abstract":"<div><div>Cross-market brand owners have long been troubled by the gray market issues. This study examines a dual distribution channel model involving one brand owner, two retailers, and two independent markets. In this model, low-end retailers privately transfer products from the low-end to high-end markets, creating a gray market. The brand addresses this behavior by adopting blockchain. We examine the impact of blockchain on gray market invasion, firm decisions, consumer surplus, and social welfare through downward traceability. The results show that gray market invasion consistently benefits low-end market retailers while disadvantaging high-end market retailers. It is profitable for the brand to allow gray market invasion when the willingness to pay in the low-end market is substantial. Blockchain adoption can effectively inhibit gray market invasion, benefiting high-end market retailers while harming low-end market retailers and the brand, depending on the cost and penalty fee involved with blockchain implementation. When the cost of blockchain adoption is relatively low, brand adopting blockchain may achieve a win-win-win market situation. However, although consumer surplus and social welfare can benefit from a gray market invasion, adopting blockchain reduces this impact, especially when cost of blockchain adoption and penalty fee are both relatively high.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"278 ","pages":"Article 109415"},"PeriodicalIF":9.8,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142419936","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":"How can we improve buyer experiences for the operations of e-grocery platforms? Towards a unified framework for digital service operations","authors":"Bibaswan Basu ,&nbsp;Debarun Chakraborty ,&nbsp;Arpan Kumar Kar","doi":"10.1016/j.ijpe.2024.109417","DOIUrl":"10.1016/j.ijpe.2024.109417","url":null,"abstract":"<div><div>Electronic grocery (e-grocery) retailing has increasingly gained prominence all over the world, with India being no exception. However, the Indian e-grocery industry still has room to grow. Existing studies have not attempted to focus holistically on factors related to service operations, such as customer service and digital platforms. We undertake two case studies, each having an exploratory and a confirmatory study, on India's two popular e-grocery apps. We mine 273,000 and 254,000 buyer reviews to identify factors affecting their experiences in the exploratory studies. We model these factors through the lens of customer-dominant logic (CDL), service-dominant logic (SDL), and signaling theory. We develop an overarching framework by mapping these factors to theoretical lexicons for the confirmatory studies. Multiple econometric analysis helps us to confirm that trust in the vendor, consumer learning, retailer visibility, pricing, diagnosticity of product description, third-party product assurances, navigability, website informativeness, and perceived information protection influence the buyer experience of both e-grocery platforms significantly. These insights can help managers take appropriate decisions to improve buyer experience and thus expand their customer base.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"278 ","pages":"Article 109417"},"PeriodicalIF":9.8,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142322491","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 scheduling of TFT-LCD cell production: A hybrid dispatching rule and two-phase genetic algorithm","authors":"Hung-Kai Wang ,&nbsp;Che-Wei Chou ,&nbsp;Chien-Han Wang ,&nbsp;Li-An Ho","doi":"10.1016/j.ijpe.2024.109412","DOIUrl":"10.1016/j.ijpe.2024.109412","url":null,"abstract":"<div><p>TFT-LCD manufacturing process involves Array, Color Filter (CF), Cell, and Module. The Cell process is pivotal in the TFT-LCD production supply chain; it bridges the front-end (Array and CF) and back-end (Module), maintaining a balance of production capacities. Supply from the front-end is transmitted to the back-end, ensuring prompt responsiveness to customer demands. As awareness of environmental conservation grows, implementing sustainable development in the TFT-LCD manufacturing industry has become crucial. Specifically, reducing the machine setup frequency in TFT-LCD scheduling decreases energy consumption during machine operation and wait times and prolongs equipment lifespan by minimizing wear from repeated shutdowns. To tackle the intricate scheduling challenges within TFT-LCD production, this study proposes an intelligent, sustainable scheduling approach that employs a rolling dispatching and line balancing mechanism and a two-phase genetic algorithm (HDTPGA) for Cell scheduling. The goal is to minimize makespan considering product diversity, production constraints, work-in-process balancing, and machine setup frequency. This holistic approach promotes energy-efficient and sustainable manufacturing practices. According to the empirical study, the proposed HDTPGA reduces the makespan by approximately 10% compared to the baseline. Additionally, it reduces the average daily setup frequency of bottleneck stages (ODF and CCT) in the Cell process by approximately 68.25% and 66.25%, respectively. The main contribution of this paper is to propose an intelligent scheduling algorithm to optimize Cell production scheduling in practice. The HDTPGA achieves equilibrium between front-end and back-end production, utilizing an efficient line change mechanism to reduce energy consumption. The enhancement in efficiency not only restricts material waste but also reduces the environmental impact, enabling manufacturers to adopt green production practices and promoting a transition of the entire panel industry toward sustainability.</p></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"278 ","pages":"Article 109412"},"PeriodicalIF":9.8,"publicationDate":"2024-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142273888","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":"Scheduling of memory chips for final testing on parallel machines considering power constraints and deteriorating effects","authors":"Shaojun Lu ,&nbsp;Chiwei Hu ,&nbsp;Min Kong ,&nbsp;Amir M. Fathollahi-Fard ,&nbsp;Maxim A. Dulebenets","doi":"10.1016/j.ijpe.2024.109413","DOIUrl":"10.1016/j.ijpe.2024.109413","url":null,"abstract":"<div><div>This paper delves into the intricate scheduling strategies crucial for the final testing phase of memory chip manufacturing within the semiconductor industry and other related sectors. It specifically addresses the complex serial-batching scheduling problem, where memory chips are tested on parallel machines under power constraints and chip deterioration effects. The processing time for each chip is significantly influenced by both the cumulative processing time of preceding chips and the power requirements for testing. We formulate this real-world optimization problem using a mixed integer nonlinear programming model. Exact solutions for small instances are obtained using a commercial solver. However, due to the model's complexity, we also develop heuristic solutions to efficiently handle larger instances. Based on the derivation of structural properties, we develop two tailored heuristic algorithms to determine the schedule for the final testing of memory chips. Additionally, we propose a refined Variable Neighborhood Search algorithm (VNS-H) that seamlessly integrates five local search strategies with two supplementary heuristic algorithms, dynamically alternating between them to ensure a balance between computational efficiency and the quality of the solutions obtained. Additionally, we establish a lower bound to validate the effectiveness of these solutions, particularly for large-scale instances. To validate the efficacy and robustness of our proposed metaheuristic algorithm, we conduct a rigorous comparison of the VNS-H algorithm with five other metaheuristic algorithms that have promising performance in various optimization problems. The results highlight the superior performance of the VNS-H algorithm. In small-scale instances, our VNS-H algorithm achieves an average makespan that is 5.52% lower compared to the original VNS. For large-scale instances, the VNS-H algorithm reduces the average makespan by 13.46% compared to VNS. Finally, we discuss the managerial implications of our findings, providing insights specifically tailored to semiconductor manufacturing enterprises based on the outcomes of this study.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"278 ","pages":"Article 109413"},"PeriodicalIF":9.8,"publicationDate":"2024-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142419916","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 framework for modeling and simulating blockchain-based supply chain traceability systems","authors":"Lucas Antonio Risso ,&nbsp;Gilberto Miller Devós Ganga ,&nbsp;Luis Antonio de Santa-Eulalia ,&nbsp;Moacir Godinho Filho ,&nbsp;Tinhinane Chikhi ,&nbsp;Elaine Mosconi ,&nbsp;Kaiwen Zhang","doi":"10.1016/j.ijpe.2024.109408","DOIUrl":"10.1016/j.ijpe.2024.109408","url":null,"abstract":"<div><div>Traceability improves supply chain operations transparency, benefiting the overall performance and the end customer perception. Blockchain technology is a promising alternative to create robust traceability systems, as it promotes trust and supports information sharing based on data immutability. Despite the hype surrounding blockchain technology and the vast literature in the field, the effectiveness and efficiency of blockchain-based supply chain traceability systems remain uncertain across multiple industry sectors, due to the lack of empirical evidence. Considering its characteristics, simulation is a valuable tool to evaluate the performance of supply chain management processes and technology alternatives. However, a structured guide to support the building process of simulation models regarding blockchain in the supply chain is still missing, making it hard for modelers to create realistic simulation models. Thus, this work proposes a novel methodological framework with guidelines to develop HS models regarding supply chain traceability capable of integrating the main blockchain concepts for managerial purposes. Scenarios with different granularity levels may be designed through the combination of both discrete-event and agent-based simulation paradigms. The proposed approach integrates concepts and terminologies from foundational references, including the Supply Chain Operations Reference (SCOR) model and the Global Traceability Standard (GTS). In addition, it is anchored on the ADACOR holonic architecture for the agentification process. Following the Design Science Research methodology, a proof-of-concept application is presented, based on a real-scale industrial case of a lobster supply chain from Canada. Results obtained reflect the framework's versatility to assist the development of a hybrid simulation model, as traceability is explored through the perspectives of time to react, item separation, temporal screening, and blockchain participation rate.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"278 ","pages":"Article 109408"},"PeriodicalIF":9.8,"publicationDate":"2024-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142419915","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":"Environmental and social performance relationships to firm efficiency: Evidence from the semiconductor industry","authors":"Lihua Sun ,&nbsp;Chunguang Bai ,&nbsp;Joseph Sarkis","doi":"10.1016/j.ijpe.2024.109410","DOIUrl":"10.1016/j.ijpe.2024.109410","url":null,"abstract":"<div><p>Escalating global demand for high-performance computing and smart devices has driven rapid expansion in the semiconductor industry. This expansion raises environmental and societal sustainability concerns among stakeholders. Although there is a growing commitment to environmental and social responsibilities by semiconductor companies, the impact of these responsibilities and initiatives on corporate performance remains unclear—especially with respect to general firm operational efficiency. Thus, this study employs a sample of 129 listed Chinese semiconductor companies and a slack-based data envelopment analysis (SBM-DEA) methodology to examine the relationship between corporate environmental and social performance and firm efficiency. We also investigate how supply chain position—an important industrial characteristic—moderates these relationships. The findings reveal that: (1) China's semiconductor industry efficiency is relatively low, particularly in the chip design sub-sector; (2) there is a positive relationship between corporate environmental performance and firm efficiency; and (3) supply chain position moderates the relationship between both corporate environmental and social performance and firm efficiency. These findings offer important implications for managers and researchers aiming to foster greater semiconductor industry sustainable development.</p></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"278 ","pages":"Article 109410"},"PeriodicalIF":9.8,"publicationDate":"2024-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142273889","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}