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  • 1.
    Adamson, Goran
    et al.
    Univ Skovde, Virtual Syst Res Ctr, Skovde, Sweden..
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Moore, Philip
    Univ Skovde, Virtual Syst Res Ctr, Skovde, Sweden..
    Feature-based function block control framework for manufacturing equipment in cloud environments2019In: International Journal of Production Research, ISSN 0020-7543, E-ISSN 1366-588X, Vol. 57, no 12, p. 3954-3974Article in journal (Refereed)
    Abstract [en]

    The ability to adaptively control manufacturing equipment in cloud environments is becoming increasingly more important. Industry 4.0, supported by Cyber Physical Systems and the concept of on-demand, scalable and pay-for-usage resource-sharing in cloud environments offers many promises regarding effective and flexible manufacturing. For implementing the concept of manufacturing services in a cloud environment, a cloud control approach for the sharing and control of networked manufacturing resources is required. This paper presents a cloud service-based control approach which has a product perspective and builds on the combination of event-driven IEC 61499 Function Blocks and product manufacturing features. Distributed control is realised through the use of a networked control structure of such Function Blocks as decision modules, enabling an adaptive run-time behaviour. The control approach has been developed and implemented as prototype systems for both local and distributed manufacturing scenarios, in both real and virtual applications. An application scenario is presented to demonstrate the applicability of the control approach. In this scenario, Assembly Feature-Function Blocks for adaptive control of robotic assembly tasks have been used.

  • 2.
    Alfredsson, Bo
    University of Waterloo, Department of Management Sciences.
    2-Machine and 3-Machine Flow-Shop Scheduling Problemns with Equal Sized Transfer Batches1992In: International Journal of Production Research, ISSN 0020-7543, E-ISSN 1366-588X, Vol. 30, no 7, p. 1551-1574Article in journal (Refereed)
  • 3.
    Angelis, Jannis
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Industrial Economics and Management (Dept.), Industrial Management.
    Velikanov, Ivan
    Macintyre, Mairi
    Product service transitions in reverse2017In: International Journal of Production Research, ISSN 0020-7543, E-ISSN 1366-588XArticle in journal (Refereed)
  • 4. Bi, Z. M.
    et al.
    Lang, S. Y. T.
    Shen, W.
    Wang, Lihui
    Reconfigurable Manufacturing Systems: The State of the Art2008In: International Journal of Production Research, ISSN 0020-7543, E-ISSN 1366-588X, Vol. 46, no 4, p. 967-992Article in journal (Refereed)
    Abstract [en]

    In this paper, general requirements of next generation manufacturing systems are discussed, and the strategies to meet these requirements are considered. The production paradigms which apply these strategies are also classified. Particular emphasis is put on the paradigm of Reconfigurable Manufacturing System (RMS). Some key issues of the RMS design are discussed, and a critical review is presented concerning the developments of RMSs. Finally, suggestions of the RMS research are made and future research directions are identified.

  • 5. Cai, Ningxu
    et al.
    Wang, Lihui
    Feng, Hsi-Yung
    Adaptive setup planning of prismatic parts for machine tools with varying configurations2008In: International Journal of Production Research, ISSN 0020-7543, E-ISSN 1366-588X, Vol. 46, no 3, p. 571-594Article in journal (Refereed)
    Abstract [en]

    Setup planning for machining a part is to determine the number and sequence of setups (including machining features grouping in setups) and the part orientation of each setup. Tool accessibility plays a key role in this process. An adaptive setup planning approach for various multi-axis machine tools is proposed in this paper focusing on kinematic analysis of tool accessibility and optimal setup plan selection. In our approach, feasible Tool Access Directions (TADs) of machining features are denoted by partially sequenced unit vectors; The Tool Orientation Spaces (TOS) of different multi-axis machine tools are generated according to their configurations through a kinematic model, and represented on a unit spherical surface. Starting from a 3-axis-based machining feature grouping, all possible setup plans of a given part for different types of machine tools (3-axis, 3-axis with an indexing table, 4-axis, and 5-axis machines) can be achieved effectively by tool accessibility examination. The optimal setup plans are selected from obtained candidates by evaluating both their locating and grouping factors. A so-generated setup plan can provide not only the best coverage of machining features and the primary locating directions but the optimal orientations of the work-piece for each setup. Only prismatic parts are considered in this proof-of-concept study, and the algorithms introduced in this paper are implemented in MATLAB. A case study is conducted to validate the algorithms.

    Setup planning for machining a part is to determine the number and sequence of setups (including machining features grouping in setups) and the part orientation of each setup. Tool accessibility plays a key role in this process. An adaptive setup planning approach for various multi-axis machine tools is proposed in this paper focusing on kinematic analysis of tool accessibility and optimal setup plan selection. In our approach, feasible Tool Access Directions (TADs) of machining features are denoted by partially sequenced unit vectors; The Tool Orientation Spaces (TOS) of different multi-axis machine tools are generated according to their configurations through a kinematic model, and represented on a unit spherical surface. Starting from a 3-axis-based machining feature grouping, all possible setup plans of a given part for different types of machine tools (3-axis, 3-axis with an indexing table, 4-axis, and 5-axis machines) can be achieved effectively by tool accessibility examination. The optimal setup plans are selected from obtained candidates by evaluating both their locating and grouping factors. A so-generated setup plan can provide not only the best coverage of machining features and the primary locating directions but the optimal orientations of the work-piece for each setup. Only prismatic parts are considered in this proof-of-concept study, and the algorithms introduced in this paper are implemented in MATLAB. A case study is conducted to validate the algorithms.

  • 6. Cai, Ningxu
    et al.
    Wang, Lihui
    National Research Council of Canada.
    Feng, Hsi-Yung
    GA based Adaptive Setup Planning toward Process Planning and Scheduling Integration2009In: International Journal of Production Research, ISSN 0020-7543, E-ISSN 1366-588X, Vol. 47, no 10, p. 2745-2766Article in journal (Refereed)
    Abstract [en]

    Setup planning of a part for more than one available machine is a typical combinatorial optimisation problem under certain constraints. It has significant impact not only on the whole process planning but also on scheduling, as well as on the integration of process planning and scheduling. Targeting the potential adaptability of process plans associated with setups, a cross-machine setup planning approach using genetic algorithms (GA) for machines with different configurations is presented in this paper. First, based on tool accessibility analysis of different machine configurations, partially sequenced machining features can be grouped into certain setups; then by responding to the requirements from a scheduling system, optimal or near-optimal setup plans are selected for certain criteria, such as cost, makespan and/or machine utilisation. GA is adopted for the combinatorial optimisation, which includes gene pool generation based on tool accessibility examination, setup plan encoding and fitness evaluation, and optimal setup plan selection through GA operations. The proposed approach is implemented in a GA toolbox, and tested using a sample part. The results demonstrate that the proposed approach is applicable to machines with varying configurations, and adaptive to different setup requirements from a scheduling system due to machine availability changes. It is expected that this approach can contribute to process planning and scheduling integration when a process plan is combined with setups for alternative machines during adaptive setupplanning.

  • 7. Colledani, M.
    et al.
    Ekvall, M.
    Lundholm, Thomas
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Moriggi, P.
    Polato, A.
    Tolio, T.
    Analytical methods to support continuous improvements at Scania2010In: International Journal of Production Research, ISSN 0020-7543, E-ISSN 1366-588X, Vol. 48, no 7, p. 1913-1945Article in journal (Refereed)
    Abstract [en]

    Considerable effort is usually devoted by companies to ensure the competitiveness of their manufacturing systems. This makes continuous improvement a central topic in production management activities. Less attention is given to the methods that drive improvement and to the way actions are defined and selected. In the literature, analytical models and simulation are the most widely used tools for manufacturing systems' performance evaluation and improvement. In practice, simple approaches, mainly based on experience, seems to be the best compromise to face this problem. In a collaboration project between Politecnico di Milano ( Milano, Italy), Kungliga Tekniska hogskolan ( Stockholm, Sweden) and Scania CV AB (Sodertalje, Sweden) within the European Network of Excellence VRL-KCiP we proposed a new methodology, based on analytical methods, to support the company in manufacturing system productivity improvement through re-configuration. The application of this approach to the Scania six-cylinder engine-block machining line enabled a remarkable increment in throughput by selecting analytically the most suitable improvement actions.

  • 8. Li, Xiaoqian
    et al.
    Wang, Lihui
    Integrated Manufacturing Technologies Institute, National Research Council Canada.
    Cai, Ningxu
    Machine Vision Based Surface Finish Inspection for Cutting Tool Replacement in Production2004In: International Journal of Production Research, ISSN 0020-7543, E-ISSN 1366-588X, Vol. 42, no 11, p. 2279-2287Article in journal (Refereed)
    Abstract [en]

    A quick and reliable assessment of machined surface finish is required for quality control in shop floors. This paper presents a machine-vision-based approach to inspect the turned surface in finishing operations. The distribution pattern from a laser scattering image is used to characterize the topography of the surface finish and to set criteria for cutting tool replacement. Compared with conventional surface inspections, this approach gives a feasible solution to assure machined surface finish and to establish reasonable criteria for cutting tool replacement in production.

  • 9.
    Liu, Yongkui
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering. Xidian Univ, Ctr Complex Syst, Sch Mechanoelect Engn, Xian, Shaanxi, Peoples R China.
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems.
    Wang, Xi Vincent
    KTH, Centres, XPRES, Excellence in production research. KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems.
    Xu, Xun
    Univ Auckland, Dept Mech Engn, Auckland, New Zealand..
    Zhang, Lin
    Beihang Univ, Sch Automat Sci & Elect Engn, Beijing, Peoples R China..
    Scheduling in cloud manufacturing: state-of-the-art and research challenges2019In: International Journal of Production Research, ISSN 0020-7543, E-ISSN 1366-588X, Vol. 57, no 15-16, p. 4854-4879Article, review/survey (Refereed)
    Abstract [en]

    For the past eight years, cloud manufacturing as a new manufacturing paradigm has attracted a large amount of research interest worldwide. The aim of cloud manufacturing is to deliver on-demand manufacturing services to consumers over the Internet. Scheduling is one of the critical means for achieving the aim of cloud manufacturing. Thus far, about 158 articles have been published on scheduling in cloud manufacturing. However, research on scheduling in cloud manufacturing faces numerous challenges. Thus, there is an urgent need to ascertain the current status and identify issues and challenges to be addressed in the future. Covering articles published on the subject over the past eight years, this article aims to provide a state-of-the-art literature survey on scheduling issues in cloud manufacturing. A detailed statistical analysis of the literature is provided based on the data gathered from the Elsevier's Scopus abstract and citation database. Typical characteristics of scheduling issues in cloud manufacturing are systematically summarised. A comparative analysis of scheduling issues in cloud manufacturing and other scheduling issues such as cloud computing scheduling, workshop scheduling and supply chain scheduling is also carried out. Finally, future research issues and challenges are identified.

  • 10.
    Mahmood Reza, Khabbazi
    et al.
    University Putra Malaysia, Malaysia.
    Ismail, Md. Yusof
    Ismail, N
    Mousavi, S.A
    Mirsaneid, H.S
    Lot-based traceability requirements and functionality evaluation for Small-to-medium size enterprises2011In: International Journal of Production Research, ISSN 0020-7543, E-ISSN 1366-588X, Vol. 49, no 3, p. 731-746Article in journal (Refereed)
    Abstract [en]

    This paper addressed a data modelling and functionality evaluation of traceability system requirements and its implementation for small- to medium-sized enterprises (SMEs). The major idea is to convert the data structure and system behaviour arising from traceability requirement into modelling using data modelling techniques in a user-friendly and economical way. Then, based on a case study the paper expounds the methodology by implementing the model to a computerised traceability information system. The system can manipulate operation data as well as quality data dynamically to keep the traceability information up to date and useful. The solution responds to all traceability requirements of integrity, data collecting, linking, and guarantees different types of lists and reports in the support of quick decision making with minimal human efforts.

  • 11.
    Olhager, Jan
    et al.
    Lunds Universitet.
    Feldmann, Andreas
    KTH, School of Industrial Engineering and Management (ITM), Industrial Economics and Management (Dept.), Industrial Management.
    Distribution of manufacturing strategy decision-making in multi-plant networks2018In: International Journal of Production Research, ISSN 0020-7543, E-ISSN 1366-588X, Vol. 56, no 1-2, p. 692-708Article in journal (Refereed)
    Abstract [en]

    This paper is concerned with the manufacturing strategy decision-making structure in multi-plant networks, i.e. how strategic manufacturing decision-making authority is distributed between the network level (i.e. headquarters) and the plant level. We use survey data from 107 manufacturing plants. This research identifies three different structures: centralised at the network headquarter, decentralised to the plant and integrated between central headquarters and the plant. All decision areas follow the same pattern, i.e. full centralisation, full decentralisation or full integration. We do not find any support for that some decisions are centralised while others are decentralised. Product volume and process type are significantly associated with the choice of decision-making structure. In particular, high product volumes are associated with a centralised approach, and a low degree of process flow orientation (such as project manufacturing, job shop and flow shop) is associated with a decentralised approach. The integrated approach is associated with a combination of lower product volumes and higher degrees of flow orientation. Choosing the right decision-making structure for the product and process mix seems to lead to high levels of operational performance.

  • 12.
    Storck, Joakim
    Högskolan i Dalana.
    Exploring improvement trajectories with dynamic process cost modelling: a case from the steel industry2010In: International Journal of Production Research, ISSN 0020-7543, E-ISSN 1366-588X, Vol. 48, no 12, p. 3493-3511Article in journal (Refereed)
    Abstract [en]

    Improvement trajectories are sequential managed chains of improvement initiatives required to handle changes in competition and market. This paper presents a five-step framework, based on dynamic process cost modelling, which was developed during a four-year research project at a major stainless steel producer, to support the selection of an improvement trajectory based on strategic requirements to combine high product diversity with cost reduction. The framework aims to develop insight into what manufacturing capabilities are required to reach the strategic goals by combining system dynamics simulation with process cost modelling and visual exploratory data analysis in an iterative modelling procedure. The applicability of the five-step framework is demonstrated through a case study from the steel industry, in which a goal driven analysis is used to assess process requirements based on performance and market considerations.

  • 13.
    Theorin, Alfred
    et al.
    Department of Automatic Control, Lund University.
    Bengtsson, Kristofer
    Department of Automation, Signals and System, Chalmers University of Technology.
    Provost, Julien
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering. Department of Automation, Department of Automation, Signals and System, Chalmers University of Technology.
    Lieder, Michael
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems.
    Johnsson, Charlotta
    Department of Automatic Control, Lund University.
    Lundholm, Thomas
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Lennartson, Bengt
    Department of Automation, Department of Automation, Signals and System, Chalmers University of Technology.
    An event-driven manufacturing information system architecture for Industry 4.02017In: International Journal of Production Research, ISSN 0020-7543, E-ISSN 1366-588X, Vol. 55, no 5, p. 1297-1311Article, review/survey (Refereed)
    Abstract [en]

    Future manufacturing systems need to be more flexible, to embrace tougher and constantly changing market demands. They need to make better use of plant data, ideally utilising all data from the entire plant. Low-level data should be refined to real-time information for decision-making, to facilitate competitiveness through informed and timely decisions. The Line Information System Architecture (LISA), is presented in this paper. It is an event-driven architecture featuring loose coupling, a prototype-oriented information model and formalised transformation services. LISA is designed to enable flexible factory integration and data utilisation. The focus of LISA is on integration of devices and services on all levels, simplifying hardware changes and integration of new smart services as well as supporting continuous improvements on information visualisation and control. The architecture has been evaluated on both real industrial data and industrial demonstrators and it is also being installed at a large automotive company. This article is an extended and revised version of the paper presented at the 2015 IFAC Symposium on Information Control in Manufacturing (INCOM 2015). The paper has been restructured in regards to the order and title of the chapters, and additional information about the integration between devices and services aspects have been added. The introduction and the general structure of the paper now better highlight the contributions of the paper and the uniqueness of the framework.

  • 14.
    Wang, Lihui
    et al.
    Integrated Manufacturing Technologies Institute, National Research Council of Canada.
    Cai, N.
    Feng, H.-Y.
    Liu, Z.
    Enriched Machining Feature Based Reasoning for Generic Machining Process Sequencing2006In: International Journal of Production Research, ISSN 0020-7543, E-ISSN 1366-588X, Vol. 44, no 8, p. 1479-1501Article in journal (Refereed)
    Abstract [en]

    This paper presents an enriched machining feature (EMF)-based reasoning approach to generic machining process sequencing for distributed process planning (DPP). An EMF is represented by combining its machining volume with surface, geometric and volume features, as well as other technological information needed to machine the feature. The information embedded in the EMF is retrieved progressively for machining sequence generation. Following an introduction of EMF and its representation scheme, the problems in determining machine-independent feature groups (set-ups) in DPP and their machining sequences to be followed for a given part are investigated. Based on the EMF concept, five reasoning rules are formulated and the algorithms developed. As the set-ups and sequences are generated based on manufacturing constraints and datum references but separated from specific resources, they are generic and applicable to machine tools with varying configurations and capabilities. This approach is further validated through a case study.

  • 15.
    Wang, Lihui
    et al.
    National Research Council of Canada.
    Feng, Hsi-Yung
    Song, Changjin
    Jin, Wei
    Function Block Design for Adaptive Execution Control of Job Shop Machining Operations2009In: International Journal of Production Research, ISSN 0020-7543, E-ISSN 1366-588X, Vol. 47, no 12, p. 3413-3434Article in journal (Refereed)
    Abstract [en]

    Small volume and high product mix contribute greatly to the complexity of job shop operations. In addition, shop floor uncertainty or fluctuation is another issue regularly challenging manufacturing companies, including job delay, urgent job insertion, fixture shortage, missing tools, and even machine breakdown. Targeting the uncertainty, we propose a function block-based approach to generating adaptive process plans. Enabled by the function blocks, a so-generated process plan is responsive and tolerant to an unpredictable change. This paper presents in detail how a function block is designed and what it can do during process plan execution. It is expected that this new approach can largely enhance the dynamism of fluctuating job shop operations.

  • 16.
    Wang, Lihui
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering. University of Skövde.
    Keshavarzmanesh, Shadi
    Feng, Hsi-Yung
    A Function Block Based Approach for Increasing Adaptability of Assembly Planning and Control2011In: International Journal of Production Research, ISSN 0020-7543, E-ISSN 1366-588X, Vol. 49, no 16, p. 4903-4924Article in journal (Refereed)
    Abstract [en]

    Today's market turbulences cause frequent changes in manufacturing environments. Products diversity, small batch sizes and short life cycles have increased production uncertainties and created a highly dynamic shop floor environment. One essential requirement of such an environment is an adaptive planning and control system that is sufficiently agile to respond to the variety of production requirements and enable easy system reconfiguration at run-time. When developing a product, assembly is a key area that impacts the manufacturing system's responsiveness to the changes. In this research, a framework and a new methodology are introduced to increase the adaptability and autonomy of job-shop assembly process planning and control using function blocks (FBs). A function block is a reusable functional module with an explicit event-driven model, and provides for data flow and finite state automata based control. Event-driven and FB-enabled decision-making is unique in adaptive assembly planning and control. It is explained through an example of a two-robot assembly work cell, where the result of the adaptive planning is wrapped in FBs for execution. The proposed approach has been implemented and simulated using Matlab Simulink in the case study. The simulation demonstrates how this approach would increase the adaptability and responsiveness to changes that may occur regularly in dynamic job-shop assembly operations.

  • 17.
    Wang, Lihui
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Xu, Xun
    Univ Auckland, Auckland, New Zealand..
    Gao, Robert
    Case Western Reserve Univ, Cleveland, OH 44106 USA..
    Nee, Andrew Y. C.
    Natl Univ Singapore, Singapore, Singapore..
    Sustainable cybernetic manufacturing2019In: International Journal of Production Research, ISSN 0020-7543, E-ISSN 1366-588X, Vol. 57, no 12, p. 3799-3801Article in journal (Other academic)
  • 18.
    Wang, Xi Vincent
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Digital twin-based WEEE recycling, recovery and remanufacturing in the background of Industry 4.02019In: International Journal of Production Research, ISSN 0020-7543, E-ISSN 1366-588X, Vol. 57, no 12, p. 3892-3902Article in journal (Refereed)
    Abstract [en]

    The waste electrical and electronic equipment (WEEE) recovery can be categorised into two types, i.e. recycling at the material level and remanufacturing at the component level. However, the WEEE recovery is facing enormous challenges of diversified individuals, lack of product knowledge, distributed location, and so forth. On the other hand, the latest ICT provides new methods and opportunities for industrial operation and management. Thus, in this research digital twin and Industry 4.0 enablers are introduced to the WEEE remanufacturing industry. The goal is to provide an integrated and reliable cyber-avatar of the individual WEEE, thus forming personalised service system. The main contribution presented in this paper is the novel digital twin-based system for the WEEE recovery to support the manufacturing/remanufacturing operations throughout the product's life cycle, from design to recovery. Meanwhile, the international standard-compliant data models are also developed to support WEEE recovery services with high data interoperability. The feasibility of the proposed system and methodologies is validated and evaluated during implementations in the cloud and cyber-physical system.

  • 19.
    Wiktorsson, Magnus
    et al.
    KTH, Superseded Departments (pre-2005), Production Engineering.
    Andersson, T.
    Volvo Car Corporation, Göteborg, Sweden .
    Broman, M.
    Swedish Institute of Prod. Eng. Res., Stockholm, Sweden .
    A note on the specification of assembly systems2000In: International Journal of Production Research, ISSN 0020-7543, E-ISSN 1366-588X, Vol. 38, no 16, p. 3997-4002Article in journal (Refereed)
    Abstract [en]

    Although the characteristics and cost of any technical system are highly influenced by the early design phases, little focus has been on the structure and use of the specification in manufacturing system design, in this paper exemplified by assembly systems for large, high-volume products. This paper proposes a framework for elaborating such specifications. The framework is based on a division in qualifying and winning criteria, and is structured into four classes: functional requirements; internal design constraints; external design constraints; and winning criteria. Defining the specification by these terms is justified and explained by comparing standard mathematical formulation for this kind of problem to the framework. Future research efforts are pointed out where the framework is used throughout the development project for goal-focus, as the specification is used and refined in an iterative manner.

  • 20. Wu, Yi
    et al.
    Angelis, Jannis
    KTH, School of Industrial Engineering and Management (ITM), Industrial Economics and Management (Dept.).
    Levy, Margi
    Responsive or efficient?: Integrated information systems and the agile supply chainIn: International Journal of Production Research, ISSN 0020-7543, E-ISSN 1366-588XArticle in journal (Other academic)
  • 21.
    Yang, Chen
    et al.
    Univ Hong Kong, Dept Ind & Mfg Syst Engn, HKU ZIRI Lab Phys Internet, Hong Kong, Peoples R China. an, Shulin.
    Lan, Shulin
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems.
    Research on coordinated development between metropolitan economy and gistics using big data and Haken model2019In: International Journal of Production Research, ISSN 0020-7543, E-ISSN 1366-588X, Vol. 57, no 4, p. 1176-1189Article in journal (Refereed)
    Abstract [en]

    To quantitatively study the relationship and mutual effects between tropolitan economy and logistics is an important, yet pending issue, ich can scientifically guide the urban planning and investment. rough the identified evaluation indexes of metropolitan logistics and onomic development, this paper first builds up an evaluation process del of metropolitan economic and logistics development, based on big ta analytics (BDA), the entropy evaluation method, and the maximum viation method. BDA can help extract the exact data about the dicators of metropolitan economy and logistics. Then a Haken model is opted to ravel out the dynamic co-evolutionary law of economy and gistics in five Chinese cities, which complements the above static aluation. The results show that the economic development is an order rameter and plays a key role in the coordinated development of tropolitan logistics and economy. However, from 2013 to 2014, these ve cities had not established an orderly evolved positive-feedback chanism through which economic development promotes the coordinated velopment of metropolitan logistics and economic development.

  • 22. Zhang, Yingfeng
    et al.
    Liu, Sichao
    Key Laboratory of Contemporary Design and Integrated Manufacturing Technology, School of Mechanical Engineering, Northwestern Polytechnical University, Shaanxi, China.
    Liu, Yang
    Li, Rui
    Smart box-enabled product–service system for cloud logistics2016In: International Journal of Production Research, ISSN 0020-7543, E-ISSN 1366-588X, Vol. 54, p. 6693-6706Article in journal (Refereed)
    Abstract [en]

    Modern logistics takes significant progress and rapid developments with the prosperity of E-commerce, particularly in China. Typical challenges that logistics industry is facing now are composed by a lack of sharing, standard, cost-effective and environmental package and efficient optimisation method for logistics tasks distribution. As a result, it is difficult to implement green, sustainable logistics services. Three important technologies, Physical Internet (PI), product–service system (PSS) and cloud computing (CC), are adopted and developed to address the above issues. PI is extended to design a world-standard green recyclable smart box that is used to encapsulate goods. Smart box-enabled PSS is constructed to provide an innovative sustainable green logistics service, and high-quality packaging, as well as reduce logistics cost and environmental pollution. A real-time information-driven logistics tasks optimisation method is constructed by designing a cloud logistics platform based on CC. On this platform, a hierarchical tree-structure network for customer orders (COs) is built up to achieve the order-box matching of function. Then, a distance clustering analysis algorithm is presented to group and form the optimal clustering results for all COs, and a real-time information-driven optimisation method for logistics orders is proposed to minimise the unused volume of containers. Finally, a case study is simulated to demonstrate the efficiency and feasibility of proposed cloud logistics optimisation method.

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