期刊,International journal of production research 2025年63卷9/10期_国家学术搜索

Optimal multiresource planning for the elderly care system: a case study

Meiyan LinWeizhi TongJiguang ChenTenghui Zeng...

3091-3116页

查看更多>>摘要：This paper investigates an optimal long-term bed and caregiver plan for the elderly care system (ECS) to meet the increasing care demand due to accelerating population aging in China. Care demand is dynamic due to various arrival ratepatterns, heterogeneous lengths of stay, health status, and balking and reneging behaviours, while supply depends on health/age/waiting-time-based priority queueing strategies. We develop a simulation-optimisation model that combines discrete event simulation, a bisection search algorithm and a feasibility detection procedure for this problem. Based on data from the Chinese Longitudinal Healthy Longevity Survey, the Ministry of Civil Affairs of China, and the queue system for senior care institutions in Shenzhen, the results show that the increasing arrival pattern saves operational costs and waiting time. The age-based-priority (ABP) strategy can reduce evaluation and waiting costs and prevent rent-seeking before application because it counts only older adult’ age. Balking helps to reduce reneging. Low ratio of caregivers to seniors will lead to significant underestimation of caregiver capacity. The ECS can purchase beds step by step, apply the ABP strategy for admission, release waiting information to induce balking behaviour, and hire part-time caregivers or rent service robots to reach the optimal plan while serving more older adults.

原文链接:

NETL
NSTL
Taylor & Francis

Optimal multiresource planning for the elderly care system: a case study

Meiyan LinWeizhi TongJiguang ChenTenghui Zeng...

3091-3116页

查看更多>>摘要：This paper investigates an optimal long-term bed and caregiver plan for the elderly care system (ECS) to meet the increasing care demand due to accelerating population aging in China. Care demand is dynamic due to various arrival ratepatterns, heterogeneous lengths of stay, health status, and balking and reneging behaviours, while supply depends on health/age/waiting-time-based priority queueing strategies. We develop a simulation-optimisation model that combines discrete event simulation, a bisection search algorithm and a feasibility detection procedure for this problem. Based on data from the Chinese Longitudinal Healthy Longevity Survey, the Ministry of Civil Affairs of China, and the queue system for senior care institutions in Shenzhen, the results show that the increasing arrival pattern saves operational costs and waiting time. The age-based-priority (ABP) strategy can reduce evaluation and waiting costs and prevent rent-seeking before application because it counts only older adult’ age. Balking helps to reduce reneging. Low ratio of caregivers to seniors will lead to significant underestimation of caregiver capacity. The ECS can purchase beds step by step, apply the ABP strategy for admission, release waiting information to induce balking behaviour, and hire part-time caregivers or rent service robots to reach the optimal plan while serving more older adults.

原文链接:

NETL
NSTL
Taylor & Francis

A methodological framework to model cumulative energy demand and production costs for additive and conventional manufacturing approaches

Rosa Di LorenzoGiuseppe IngaraoToni LupoDina Palmeri...

3117-3141页

查看更多>>摘要：Additive Manufacturing (AM) processes have undergone a considerable evolution in terms of industrial applicability. From prototyping applications, AM has evolved to become a competitive technology to manufacture end products in comparison with conventional manufacturing. Despite that, the environmental impact advantage of AM is limited to some production scenarios and depends on several factors: high geometric complexity, weight reduction enabled by topology optimisation, light-weight product to be assembled for transportation. Considering production cost, AM process for metal-based components proved to be often more expensive than those produced by conventional approaches. To provide new piece of knowledge in the domain of AM applicability, in this paper a comparative analysis of costs and energy demand for additive, subtractive and mass conserving manufacturing processes is presented and applied to two different Ti-6Al-4V case studies (namely, an axisymmetric and a T-shape component). Turning/milling, hot forging and EBM were analysed and compared one another. The modelling and the results were analysed with varying the product complexity, the batch size, the method for accounting for the credit arising from recycling and the extent of light-weighting obtained by AM application. The result is a framework enabling informed process design and selection with varying production scenarios.

原文链接:

NETL
NSTL
Taylor & Francis

A methodological framework to model cumulative energy demand and production costs for additive and conventional manufacturing approaches

Rosa Di LorenzoGiuseppe IngaraoToni LupoDina Palmeri...

3117-3141页

查看更多>>摘要：Additive Manufacturing (AM) processes have undergone a considerable evolution in terms of industrial applicability. From prototyping applications, AM has evolved to become a competitive technology to manufacture end products in comparison with conventional manufacturing. Despite that, the environmental impact advantage of AM is limited to some production scenarios and depends on several factors: high geometric complexity, weight reduction enabled by topology optimisation, light-weight product to be assembled for transportation. Considering production cost, AM process for metal-based components proved to be often more expensive than those produced by conventional approaches. To provide new piece of knowledge in the domain of AM applicability, in this paper a comparative analysis of costs and energy demand for additive, subtractive and mass conserving manufacturing processes is presented and applied to two different Ti-6Al-4V case studies (namely, an axisymmetric and a T-shape component). Turning/milling, hot forging and EBM were analysed and compared one another. The modelling and the results were analysed with varying the product complexity, the batch size, the method for accounting for the credit arising from recycling and the extent of light-weighting obtained by AM application. The result is a framework enabling informed process design and selection with varying production scenarios.

原文链接:

NETL
NSTL
Taylor & Francis

Industry 4.0 technology implementation in manufacturing: a selection method and real case applications

L. MarettoM. FaccioD. Battini

3142-3174页

查看更多>>摘要：The pressing necessity for digitalisation in industrial plants, driven by Industry 4.0 national initiatives and heightened global competition, underscores the urgency for companies to initiate digital transformation projects. Despite this urgency, the academic literature lacks comprehensive guidance on models specifically dedicated to the selection of digital technologies. This article addresses this gap by proposing a multi-criteria decision-making model, grounded in a methodological framework, for the systematic selection of digital technologies in the manufacturing sector. The proposed model combines fuzzy logic and the analytic hierarchy process (AHP) and incorporates a well-established classification of digital technologies. The model is able to select the single best candidate technology as well as the best candidate group of technologies that share the same purpose. In this way, the model tries to capture the interconnection element that is at the core of the digitalisation concept. To test its validity, the model was applied in two manufacturing companies operating in distinct production sectors. One of these companies was undergoing a digitalisation process in its plants, providing an additional basis for comparing the results of the proposed model.

原文链接:

NETL
NSTL
Taylor & Francis

Industry 4.0 technology implementation in manufacturing: a selection method and real case applications

L. MarettoM. FaccioD. Battini

3142-3174页

查看更多>>摘要：The pressing necessity for digitalisation in industrial plants, driven by Industry 4.0 national initiatives and heightened global competition, underscores the urgency for companies to initiate digital transformation projects. Despite this urgency, the academic literature lacks comprehensive guidance on models specifically dedicated to the selection of digital technologies. This article addresses this gap by proposing a multi-criteria decision-making model, grounded in a methodological framework, for the systematic selection of digital technologies in the manufacturing sector. The proposed model combines fuzzy logic and the analytic hierarchy process (AHP) and incorporates a well-established classification of digital technologies. The model is able to select the single best candidate technology as well as the best candidate group of technologies that share the same purpose. In this way, the model tries to capture the interconnection element that is at the core of the digitalisation concept. To test its validity, the model was applied in two manufacturing companies operating in distinct production sectors. One of these companies was undergoing a digitalisation process in its plants, providing an additional basis for comparing the results of the proposed model.

原文链接:

NETL
NSTL
Taylor & Francis

Heterogeneous knowledge graph-driven subassembly identification with ensemble deep learning in Industry 4.0

Chao ZhangYanzhen JingGuanghui ZhouHairui Yan...

3175-3191页

查看更多>>摘要：In the context of Industry 4.0, model-based definition (MBD) has been an effective approach to creating 3D models contained all heterogeneous information needed to define a product, which proposes new challenges for the traditional subassembly identification method that only considers the geometric information of a product in assembly sequence planning. To bridge the gap, we propose a novel heterogeneous knowledge graph-driven subassembly identification method to enhance assembly sequence planning in the model-based systems engineering (MBSE) paradigm. Specifically, a heterogeneous knowledge graph is first constructed based on the shape information and engineering details of an MBD model. Next, an ensemble deep learning approach that combines graph neural networks with the community detection algorithm is proposed to effectively detect the subassembly from the MBD model. Finally, the feasibility and effectiveness of the proposed method are demonstrated through an example of car suspension subassembly identification, providing insight into the industrial implementation.

原文链接:

NETL
NSTL
Taylor & Francis

Heterogeneous knowledge graph-driven subassembly identification with ensemble deep learning in Industry 4.0

Chao ZhangYanzhen JingGuanghui ZhouHairui Yan...

3175-3191页

查看更多>>摘要：In the context of Industry 4.0, model-based definition (MBD) has been an effective approach to creating 3D models contained all heterogeneous information needed to define a product, which proposes new challenges for the traditional subassembly identification method that only considers the geometric information of a product in assembly sequence planning. To bridge the gap, we propose a novel heterogeneous knowledge graph-driven subassembly identification method to enhance assembly sequence planning in the model-based systems engineering (MBSE) paradigm. Specifically, a heterogeneous knowledge graph is first constructed based on the shape information and engineering details of an MBD model. Next, an ensemble deep learning approach that combines graph neural networks with the community detection algorithm is proposed to effectively detect the subassembly from the MBD model. Finally, the feasibility and effectiveness of the proposed method are demonstrated through an example of car suspension subassembly identification, providing insight into the industrial implementation.

原文链接:

NETL
NSTL
Taylor & Francis

Increasing the output of mixed-model assembly lines for industrialised housebuilding: learnings from a case-based simulation study

Wolfgang GrenzfurtnerElena PichlerManfred Gronalt

3192-3207页

查看更多>>摘要：In industrialised housebuilding, wall elements for on-site construction are prefabricated on mixed-model assembly lines with several workstations connected in series. The balance of a line is often disturbed by implementing new technical standards or product innovations, which makes it necessary to identify bottleneck stations and to analyse the effects of necessary activity adaptations. This paper presents the modelling requirements of this specific reconfiguring problem. A hybrid approach that covers configuration modelling and discrete event simulation is presented that links data describing product characteristics to processes of the simulation model. The use of controls provides a flexible and extendable production configuration environment for experiments, which can work with various activity assignments to stations. Several experiments were conducted, including worker flexibilisation, technical and process changeovers, a shift of work content between stations, and a combination of these scenarios and changes in the production programme. The performance of the production line can be increased in most scenarios, with the best results being achieved with flexibilisation measures that reduce the average production time per station by 13%. The results also show negative effects, if design options are offered to customers, that have an unfavourable impact on the balance of the production line.

原文链接:

NETL
NSTL
Taylor & Francis

Increasing the output of mixed-model assembly lines for industrialised housebuilding: learnings from a case-based simulation study

Wolfgang GrenzfurtnerElena PichlerManfred Gronalt

3192-3207页

查看更多>>摘要：In industrialised housebuilding, wall elements for on-site construction are prefabricated on mixed-model assembly lines with several workstations connected in series. The balance of a line is often disturbed by implementing new technical standards or product innovations, which makes it necessary to identify bottleneck stations and to analyse the effects of necessary activity adaptations. This paper presents the modelling requirements of this specific reconfiguring problem. A hybrid approach that covers configuration modelling and discrete event simulation is presented that links data describing product characteristics to processes of the simulation model. The use of controls provides a flexible and extendable production configuration environment for experiments, which can work with various activity assignments to stations. Several experiments were conducted, including worker flexibilisation, technical and process changeovers, a shift of work content between stations, and a combination of these scenarios and changes in the production programme. The performance of the production line can be increased in most scenarios, with the best results being achieved with flexibilisation measures that reduce the average production time per station by 13%. The results also show negative effects, if design options are offered to customers, that have an unfavourable impact on the balance of the production line.

原文链接:

NETL
NSTL
Taylor & Francis