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Energy-efficient scheduling for a hybrid flow shop problem while considering multi-renewable energy Int. J. Prod. Res. (IF 9.2) Pub Date : 2024-04-16 Weidong Chen, Junnan Wang, Guanyi Yu
At present, the concept of green and sustainable development has been recognised by everyone. For industrial applications, the concept is both a matter of energy consumption and a matter of product...
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Triple sampling X̄ control chart for gamma process Int. J. Prod. Res. (IF 9.2) Pub Date : 2024-04-15 Yasar Mahmood, Michael B. C. Khoo, Sin Yin Teh, Sajal Saha, W. L. Teoh
Monitoring production processes to provide potential customers with quality products while utilising fewer resources and reducing the cost of inspection is a challenge to quality and industrial eng...
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Multi-period fourth-party logistics network design from the viability perspective: a collaborative hyper-heuristic embedded with double-layer Q-learning algorithm Int. J. Prod. Res. (IF 9.2) Pub Date : 2024-04-15 Yuxin Zhang, Min Huang, Zheming Gao, Songchen Jiang, Shu-Cherng Fang, Xingwei Wang
In the ‘new normal’ setting of a mega-crisis, the viability becomes the driving force for the fourth party logistics (4PL) network design. In this paper, the viability is characterised in terms of ...
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A digital twin-enabled digital spare parts supply chain Int. J. Prod. Res. (IF 9.2) Pub Date : 2024-04-15 Mirco Peron
An efficient and effective spare parts supply chain management is crucial to ensure highly available production systems. However, achieving such a spare parts supply chain management is challenging...
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Decency or devilment: the impact of blockchain technology on product line design Int. J. Prod. Res. (IF 9.2) Pub Date : 2024-04-09 Yu Jiang, Xiang Ji, Jie Wu, Xiaohang Yue
Blockchain is a secure database shared across a network of all participants, characterised by immutability, openness, transparency, and traceability. Therefore, blockchain technology is widely used...
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Combinatorial Benders' decomposition for the constrained two-dimensional non-guillotine cutting problem with defects Int. J. Prod. Res. (IF 9.2) Pub Date : 2024-04-08 Shaowen Yao, Hao Zhang, Qiang Liu, Jiewu Leng, Lijun Wei
This paper studies the constrained two-dimensional non-guillotine cutting problem with defects, in which a set of items of a specific size is cut from a large rectangular sheet with defective areas...
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Multi-objective optimization of production system with staggered production Int. J. Prod. Res. (IF 9.2) Pub Date : 2024-04-05 Chia-Huang Wu, Dong-Yuh Yang, Chung-Ling Huang
In the manufacturing industry, timely order fulfilment from diverse customers is important for operational profitability, given the constraints of limited production capacity. This paper proposes a...
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Decomposition-based multi-objective approach for a green hybrid flowshop rescheduling problem with consistent sublots Int. J. Prod. Res. (IF 9.2) Pub Date : 2024-04-02 Weiwei Wang, Biao Zhang, Xuchu Jiang, Baoxian Jia, Hongyan Sang, Leilei Meng
Rescheduling in a hybrid flowshop holds significant importance in modern industries that face uncertain events. Moreover, real-world manufacturing scenarios often utilise lot streaming to enhance m...
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Transformation of supply chain resilience research through the COVID-19 pandemic Int. J. Prod. Res. (IF 9.2) Pub Date : 2024-03-30 Dmitry Ivanov
Supply chain resilience is on the agenda of academia and industry like never before. One strong instigator for this phenomenon has been the COVID-19 pandemic, which opened the era of global uncerta...
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A self-adaptive Gaussian mutation-based arithmetic optimiser algorithm for integrated production scheduling and vehicle routing problem in the distributed manufacturing environment Int. J. Prod. Res. (IF 9.2) Pub Date : 2024-03-30 Kaiyuan Zhang, Binghai Zhou
In response to the challenges posed by economic globalisation and increasing customer demands, enterprises are compelled to adapt and refine their production models and operational objectives, whic...
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Eco-friendly lane reservation-based autonomous truck transportation network design Int. J. Prod. Res. (IF 9.2) Pub Date : 2024-03-30 Ling Xu, Peng Wu, Chengbin Chu, Andrea D'Ariano
As one of the primary sources of carbon emissions, transportation sector has proposed various measures to reduce its carbon emissions. Introducing energy-efficient and low-carbon autonomous trucks ...
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Forecasting spare part extractions from returned systems in a closed-loop supply chain Int. J. Prod. Res. (IF 9.2) Pub Date : 2024-03-30 Emna Turki, Oualid Jouini, Zied Jemai, Yazid Traiy, Adnane Lazrak, Patrick Valot, Robert Heidseick
In a closed-loop supply chain, the reuse of spare parts from returned systems is a recovery process referred to as spare parts harvesting. The unpredictability of the parts supply capacity from ret...
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Supplier encroachment and pricing scheme choice in a supply chain with two-sided uncertainties Int. J. Prod. Res. (IF 9.2) Pub Date : 2024-03-30 Yi Huang, Wei Xing, Xuan Zhao
This paper examines supplier encroachment in a scenario where the supplier procures an input in spot and processes it into a final product, while the retailer chooses between contingent and committ...
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A Benders decomposition algorithm for resource allocation with multi-resource operations Int. J. Prod. Res. (IF 9.2) Pub Date : 2024-03-30 Wuyan Weng, Chengbin Chu, Peng Wu
This paper addresses a real life scheduling problem characterised by multi-resource operations whose completion simultaneously requires more than one (renewable) resource of different types. Such p...
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An efficient and adaptive design of reinforcement learning environment to solve job shop scheduling problem with soft actor-critic algorithm Int. J. Prod. Res. (IF 9.2) Pub Date : 2024-03-30 Jinghua Si, Xinyu Li, Liang Gao, Peigen Li
Shop scheduling is deeply involved in manufacturing. In order to improve the efficiency of scheduling and fit dynamic scenarios, many Deep Reinforcement Learning (DRL) methods are studied to solve ...
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Optimal pricing and capacity management in service systems with delay-sensitive mixed-risk customers Int. J. Prod. Res. (IF 9.2) Pub Date : 2024-03-28 Michalis Deligiannis, Myron Benioudakis, George Liberopoulos, Apostolos Burnetas
In service systems with delay-sensitive customers, customer decisions to join the queue or balk influence demand, impacting service provider profits. Studies show that customers can be risk-seeking...
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Low-Carbon supply chain optimisation with carbon emission reduction level and warranty period: nash bargaining fairness concern Int. J. Prod. Res. (IF 9.2) Pub Date : 2024-03-26 Shuai Li, Shaojian Qu, M.I.M. Wahab, Ying Ji
This study incorporates fairness concern in a low-carbon supply chain coordination mechanism where a single manufacturer sells its product to consumers through a single retailer. We develop four di...
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Is it beneficial to invest in flexible capacity for hybrid remanufacturing? Int. J. Prod. Res. (IF 9.2) Pub Date : 2024-03-26 David Francas, Miray Öner-Közen, Stefan Minner
Firms that aim to close the loop via remanufacturing returned products face uncertainties on both the demand and supply side. Inspired by industrial circular business models, we study the capacity ...
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Resilient and sustainable energy supply chains: insights on sourcing and pricing strategies in a non-collaborative and collaborative environment Int. J. Prod. Res. (IF 9.2) Pub Date : 2024-03-26 Hamed Rajabzadeh, Marcus Wiens
Energy supply chain resilience and sustainability are essential for dependable, ecologically responsible energy availability, reducing disruptions, and creating a sustainable future. In this regard...
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Scheduling on parallel dedicated machines with job rejection Int. J. Prod. Res. (IF 9.2) Pub Date : 2024-03-25 Baruch Mor, Gur Mosheiov
We study scheduling problems on parallel dedicated machines. Thus, each job can be processed on one specific machine only. The option of job-rejection is considered, and the total permitted rejecti...
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Resilience-oriented approach of dynamic production and maintenance scheduling optimisation considering operational uncertainty Int. J. Prod. Res. (IF 9.2) Pub Date : 2024-03-25 Yuqi Cai, Yihai He, Rui Shi, Tianyu Feng, Jiayang Li
One of the main challenges in operating multistate manufacturing systems (MMSs) is maintaining stable and robust production against various disruptions. Therefore, an urgent need exists for an oper...
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Towards vaccine lifecycle management (VLM): A systematic literature review of the issues and challenges Int. J. Prod. Res. (IF 9.2) Pub Date : 2024-03-22 Allam Sanae, Sekhari Seklouli Aicha, El Bouzekri El Idrissi Adiba, El Kinani Noredine
The vaccine, a distinctive product with specific characteristics, plays a crucial role in enhancing human immunity against diseases for their eradication. Given the severe impact of the COVID-19 pa...
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Low carbon operation optimisation strategies for heating, ventilation and air conditioning systems in office buildings Int. J. Prod. Res. (IF 9.2) Pub Date : 2024-03-21 Meng Shen, Baojun Tang, Keai Zhang
Heating, ventilation, and air conditioning (HVAC) systems play a crucial role in production environments. Optimising the control strategy of an HVAC system is an effective approach to achieving ene...
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Real-time AGV scheduling optimisation method with deep reinforcement learning for energy-efficiency in the container terminal yard Int. J. Prod. Res. (IF 9.2) Pub Date : 2024-03-21 Lin Gong, Zijie Huang, Xi Xiang, Xin Liu
The increasing vessel size and automation level have shifted the productivity bottleneck of automated container terminals from the terminal side to the yard side. Operating an automated container t...
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A review of digital assistants in production and logistics: applications, benefits, and challenges Int. J. Prod. Res. (IF 9.2) Pub Date : 2024-03-21 Ting Zheng, Eric H. Grosse, Stefan Morana, Christoph H. Glock
This study presents a systematic literature review to understand the applications, benefits, and challenges of digital assistants (DAs) in production and logistics tasks. Our conceptual framework c...
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Multi-objective scheduling of cloud-edge cooperation in distributed manufacturing via multi-agent deep reinforcement learning Int. J. Prod. Res. (IF 9.2) Pub Date : 2024-03-18 Peng Guo, Haichao Shi, Yi Wang, Jianyu Xiong
Due to the limited computational power of edge devices in distributed manufacturing systems, the challenge of meeting real-time computing requirements for industrial big data arises. Additionally, ...
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A multi-skilled staff scheduling and team configuration optimisation model for artificial intelligence project portfolio considering competence development and innovation-driven Int. J. Prod. Res. (IF 9.2) Pub Date : 2024-03-18 Rong Chen, Dongxiao Gu, Changyong Liang, Li Jiang
This paper emphasises the pivotal role of enhancing research and development (R&D) staff competence and boosting team innovation efficiency in configuring R&D project teams for artificial intellige...
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Price distortion forced by recycling competition under trade-in collaboration Int. J. Prod. Res. (IF 9.2) Pub Date : 2024-03-18 Bowen Zhao, Wansheng Tang, Liqun Wei, Jianxiong Zhang
Renowned brands and recycling agencies tacitly integrate their business flows together in the current trade-in industry. The collaborative trade-in programme breaks the hierarchy of closed-loop sup...
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Fuzzy demand-driven material requirements planning: a comprehensive analysis of fuzzy logic implementation in DDMRP Int. J. Prod. Res. (IF 9.2) Pub Date : 2024-03-18 Ozlem Uzun Araz, Mehmet Ali Ilgin, Ozgur Eski, Ceyhun Araz
Demand-Driven Material Requirements Planning (DDMRP) is a new method of inventory control designed to address the challenges of today's complex and volatile supply chain environment. DDMRP replaces...
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Federated deep reinforcement learning for dynamic job scheduling in cloud-edge collaborative manufacturing systems Int. J. Prod. Res. (IF 9.2) Pub Date : 2024-03-15 Xiaohan Wang, Lin Zhang, Lihui Wang, Xi Vincent Wang, Yongkui Liu
The cloud-edge collaborative manufacturing system (CCMS) connects distributed factories to a cloud centre through cloud-edge collaborative communication, introducing both opportunities and challeng...
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Delivery routing for a mixed fleet of conventional and electric vehicles with road restrictions Int. J. Prod. Res. (IF 9.2) Pub Date : 2024-03-11 Hongguang Ma, Rongchao Yang, Xiang Li
The enforcement of stringent regulations capping carbon emissions has prompted city logistics enterprises to substitute electric vehicles (EVs) for conventional vehicles (CVs). For city logistics e...
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Supply chain digitisation and management Int. J. Prod. Res. (IF 9.2) Pub Date : 2024-03-08 Manoj Kumar Tiwari, Bopaya Bidanda, Joseph Geunes, Kiran Fernandes, Alexandre Dolgui
In the rapidly evolving landscape, digitising the operations and facilities in a supply chain network is essential to make the system autonomous and develop strategies for enhancing resilience, tra...
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Emission abatement in low-carbon supply chains with government subsidy and information asymmetry Int. J. Prod. Res. (IF 9.2) Pub Date : 2024-03-06 Longfei He, Huanhuan Wang, Fangtong Liu
Governmental subsidy policy and channel information structure have substantial effects on supply chain emission reduction, operations and marketing decisions. In this paper, we use game theory to s...
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Value co-creation in group enterprises: an evolutionary game theory-based analysis Int. J. Prod. Res. (IF 9.2) Pub Date : 2024-03-07 Runliang Dou, Guofang Nan, Ziqian Wei, Chia-Yu Hsu
Information barriers exist between subsidiaries in a group enterprise, where each subsidiary acts independently, and hinder rational allocation and utilisation of resources. This study proposed a v...
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Multidimensional typologies of faulty medical device events: analysis, risk characterisation, and stakeholder mapping Int. J. Prod. Res. (IF 9.2) Pub Date : 2024-03-07 Mohit Goswami, Felix T. S. Chan, M. Ramkumar, Yash Daultani, Nripendra P. Rana
This study uses the publicly available International Medical Devices Database in three-phase research to present empirically grounded multi-dimensional typologies of events involving faulty medical...
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Financing an online newsvendor with considering the impact of advertising strategy Int. J. Prod. Res. (IF 9.2) Pub Date : 2024-03-05 Gongbing Bi, Yinghui Liu, Pingfan Wang
This study examines the relationship between advertising and financing decisions in an online supply chain consisting of an e-platform and a capital-constrained retailer. The e-platform is the lead...
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Exploring the shortcomings in formal criteria selection for multicriteria decision making based inventory classification models: a systematic review and future directions Int. J. Prod. Res. (IF 9.2) Pub Date : 2024-03-06 Frank Michael Theunissen, Carel Nicolaas Bezuidenhout, Shafiq Alam
Criteria selection significantly impacts the reliability and utility of multicriteria decision making (MCDM) models. While criteria may vary across industries, a formalised criteria selection proce...
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An adaptive shuffled frog-leaping algorithm for parallel batch processing machines scheduling with machine eligibility in fabric dyeing process Int. J. Prod. Res. (IF 9.2) Pub Date : 2024-03-05 Deming Lei, Tao Dai
Fabric dyeing is an important production process in clothing industry and consists of some batch processing machines (BPM). In this study, parallel BPM scheduling problem with machine eligibility i...
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Constructing modified variable neighborhood search approaches to solve a nurse scheduling problem Int. J. Prod. Res. (IF 9.2) Pub Date : 2024-03-05 Ping-Shun Chen, Wen-Tso Huang, Gary Yu-Hsin Chen, Jr-Fong Dang, Erh-Chun Yeh
This study proposed multiple revised variable neighborhood search (VNS) approaches applying the greedy concept to solve a nurse scheduling problem (NSP). In this paper, we developed three greedy-ne...
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Determining the I/O point policy in a robotic live-cube compact storage system Int. J. Prod. Res. (IF 9.2) Pub Date : 2024-03-01 Teh Khai Jen, Rong Wang, Peng Yang
The robotic live-cube compact storage system can provide a higher storage capacity and more flexible throughput than other automated warehousing systems. The extant studies usually fix the input/ou...
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Effect of customer concentration on firms’ operating performance during the COVID-19 pandemic Int. J. Prod. Res. (IF 9.2) Pub Date : 2024-03-01 Young Soo Park, Jaeseog Na, Yun Shin Lee
This study investigated the effect of a supplier’s customer concentration level on its operating performance during the COVID-19 pandemic. Using a large sample of publicly listed U.S. manufacturing...
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Package-type strategies and packaging's carbon reduction decisions in the take-out industry Int. J. Prod. Res. (IF 9.2) Pub Date : 2024-03-01 Shaofu Du, Minjian Liu, Tengfei Nie, Yangguang Zhu
Using environmentally friendly packaging (E-packaging) instead of non-environmentally friendly packaging (N-packaging) can mitigate pollution and reduce carbon emissions. However, the market penetr...
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Performance of deep reinforcement learning algorithms in two-echelon inventory control systems Int. J. Prod. Res. (IF 9.2) Pub Date : 2024-03-01 Francesco Stranieri, Fabio Stella, Chaaben Kouki
This study conducts a comprehensive analysis of deep reinforcement learning (DRL) algorithms applied to supply chain inventory management (SCIM), which consists of a sequential decision-making prob...
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Multi-source AdaBoost with cross-weight method for virtual metrology in semiconductor manufacturing Int. J. Prod. Res. (IF 9.2) Pub Date : 2024-03-01 Tianhui Wang, Jaeseung Baek, Myong-Kee Jeong, Seongho Seo, Jaekyung Choi
In the context of Industry 4.0, many production scenarios utilise sensors to monitor manufacturing processes, resulting in massive data that can be leveraged to build machine-learning models to imp...
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A dynamic condition-based maintenance policy for heterogeneous-wearing tools with considering product quality deterioration Int. J. Prod. Res. (IF 9.2) Pub Date : 2024-02-29 Biao Lu, Yumei Luo
The wear of a cutting tool can lead to tool failure and product quality deterioration, and thus timely maintenance of tools is crucial. Meanwhile, the wear of tools from a same population usually e...
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A genetic algorithm for fuzzy identical parallel machine scheduling of minimising total weighted tardiness under resource constraint Int. J. Prod. Res. (IF 9.2) Pub Date : 2024-02-28 Kai Li, Liping Xu, Han Zhang, Jianfu Chen
Due to the severity of resource consumption and uncertainty in orders, new challenges have arisen for production scheduling in enterprises. This paper studies the scheduling problem of minimising t...
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Unified strategy of production, distribution and pricing in a dual-channel supply chain using leasing option Int. J. Prod. Res. (IF 9.2) Pub Date : 2024-02-27 Ahmed Farouk Hamzaoui, Sadok Turki, Nidhal Rezg
The surge in e-commerce has significantly altered consumer shopping habits, shifting towards online purchases. This change renders the traditional single-channel supply chain insufficient, often re...
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Global multi-sourcing network design with inventory planning under uncertainty Int. J. Prod. Res. (IF 9.2) Pub Date : 2024-02-27 Minke Wang, Mehdi Amiri-Aref, Walid Klibi, M. Zied Babai
In the current era of turbulence, demand uncertainty and significant supply delays have become recurrent challenges for every global supply chain, which are accentuated by geopolitical issues, regi...
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A systematic energy-aware scheduling framework for manufacturing factories integrated with renewables Int. J. Prod. Res. (IF 9.2) Pub Date : 2024-02-27 Zhean Shao, Wen Li, Ying Tan, Kevin Otto
With the escalating integration of renewable energy sources (RESs) within the manufacturing sector, the synergy between energy and production management has gained paramount importance. To harmonis...
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Few-shot learning for defect detection in manufacturing Int. J. Prod. Res. (IF 9.2) Pub Date : 2024-02-27 Patrik Zajec, Jože M. Rožanec, Spyros Theodoropoulos, Mihail Fontul, Erik Koehorst, Blaž Fortuna, Dunja Mladenić
Quality control is being increasingly automatised in the context of Industry 4.0. Its automatisation reduces inspection times and ensures the same criteria are used to evaluate all products. One of...
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Autoencoder-based detector for distinguishing process anomaly and sensor failure Int. J. Prod. Res. (IF 9.2) Pub Date : 2024-02-21 Chia-Yen Lee, Kai Chang, Chien Ho
Anomaly detection is a frequently discussed topic in manufacturing. However, the issues of anomaly detection are typically attributed to the manufacturing process or equipment itself. In practice, ...
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Optimal pricing and inventory strategies for leased equipment considering lessees’ options Int. J. Prod. Res. (IF 9.2) Pub Date : 2024-02-22 Yanping Liu, Biyu Liu, Haidong Yang, Kai Luo
After the expiration of each lease, lessees may return leased equipment on schedule, renew the lease or purchase it according to the equipment status and their demands. By considering lessees’ unce...
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A modified memetic algorithm with multi-operation precise joint movement neighbourhood structure for the assembly job shop scheduling problem Int. J. Prod. Res. (IF 9.2) Pub Date : 2024-02-21 Zhiyong Ba, Yiping Yuan, Jinduo Liu
This paper presents an adaptive memetic algorithm based on a new neighbourhood structure (AMA) for solving the assembly job shop scheduling problem, with the aim of minimising the maximum completio...
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A branch-and-price-and-cut algorithm for the unmanned aerial vehicle delivery with battery swapping Int. J. Prod. Res. (IF 9.2) Pub Date : 2024-02-21 Zhi Pei, Wuhao Pan, Kebiao Weng, Tao Fang
In the UAV-based urban delivery setting, the battery capacity serves as one of the key factors affecting the delivery range of drones. For a typical multi-rotor unmanned aerial vehicle (UAV), the m...
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Recycling and/or reusing: when product innovation meets the recast of WEEE direct Int. J. Prod. Res. (IF 9.2) Pub Date : 2024-02-21 Jiaxin He, Wei Yan, Youwei Li, Danli Lu
To deal with the growing amount of e-waste propelled by introduction of new products, increasing governments are considering amending take-back regulations to impose more stringent collection targe...
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Deep reinforcement learning on variable stiffness compliant control for programming-free robotic assembly in smart manufacturing Int. J. Prod. Res. (IF 9.2) Pub Date : 2024-02-18 Zhenrui Ji, Gang Liu, Wenjun Xu, Bitao Yao, Xuedong Liu, Zude Zhou
Nowadays industrial robots have been increasingly widely deployed across various sectors and assembly tasks are seen as one of the dominant application fields. The assembly tasks, as the critical p...
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Integrated tactical continuous production planning of two blending systems sharing supply sources: the case of a phosphate supply chain Int. J. Prod. Res. (IF 9.2) Pub Date : 2024-02-18 Bassma Azzamouri, Vincent Hovelaque, Vincent Giard
This paper deals with a problem of tactical planning of production activities. It considers the case of the world's largest phosphate production site, with several mines, several washing plants, an...
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Mitigating healthcare supply chain challenges under disaster conditions: a holistic AI-based analysis of social media data Int. J. Prod. Res. (IF 9.2) Pub Date : 2024-02-16 Vishwa V. Kumar, Avimanyu Sahoo, Siva K. Balasubramanian, Sampson Gholston
A key advantage of social media is the real-time exchange of views with large communities. In disaster situations, such bidirectional information exchange is most useful to victims and support team...
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Traditional or drop-shipping? channel choice and product quality Int. J. Prod. Res. (IF 9.2) Pub Date : 2024-02-16 Qingyi Wu, Shuang Xie, Buqing Ma
Compared to the traditional channel, where a retailer bears the inventory risk, the drop-shipping channel operates with a distinct approach: the retailer avoids stocking products while the manufact...
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A flexible planning approach for integrated lot sizing and rework planning with random proportion of defective products Int. J. Prod. Res. (IF 9.2) Pub Date : 2024-02-16 Pierre Kohlmann, Florian Sahling
We consider a stochastic capacitated lot sizing problem with in-line rework. Both defective and defect-free products can be the result of an imperfect production process in real-world production sy...