Forthcoming articles


International Journal of Internet Manufacturing and Services


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International Journal of Internet Manufacturing and Services (28 papers in press)


Regular Issues


  • Key stakeholders governance research based on SNA for green building projects whole life cycle   Order a copy of this article
    by Zhu Qiao, Yisheng Liu 
    Abstract: Relationship between green building project stakeholders at different stages in the whole life cycle constitutes a complex network, and the stakeholders relationship at different stages can be coordinated through project governance at the organization level, so as to promote green building large-scale popularization and application. This paper, firstly, screens the green building projects stakeholders through the literature research, and then identifies green building projects key stakeholders at different stages in the whole life cycle, in order to project governance more targeted. Secondly, this paper uses social network analysis to measure green building project key stakeholders network organization relations, to analyze the mutual influence among key stakeholders. Finally, combining with social network analysis results, this paper puts forward different governance solution at the decision-making phase, implementation phase and usage phase of green building projects.
    Keywords: green building; whole life cycle; project governance; social network analysis (SNA).

  • The impacts of system neglect effect on emergency resource replenishment   Order a copy of this article
    by Zhiru Juan, Weidong Huang, Haiyan Wang, Jie Cao 
    Abstract: Aiming at preparedness and response to emergency events, this paper studies emergency resource replenishment decisions made by an irrational decision maker. The decision maker would exhibit system neglect effect, in the sense that the decision maker reacts primarily to signals they received and secondarily to the underlying system that produced the signals. By comparing the performances of threshold methods and smoothing strategies, we identify the impacts of system neglect effect on the resource replenishment decisions and offer insight into when high-consequence, low-probability events may occur. The results show that threshold method is more attractive than smoothing method in emergency management and the existence of system neglect may improve the efficiency of the replenishment decisions generated by smoothing strategies. The findings are meaningful to preparedness and response to emergency events and help manage the influence of system neglect effect when replenishing emergency resources.
    Keywords: forecasting; system neglect; smoothing strategy; threshold method.

  • MBAN-MLC: a multi-label classification method and its application in automating fault diagnosis   Order a copy of this article
    by Shijun Chen 
    Abstract: With increasing competition in the mobile telecom network market, the network quality becomes one of the key factors for competitions between network operators. At the work site of drive-testing in the mobile radio communication network, drive-testing experts needed to tag the fault causes manually based on their experience for fault diagnosis, and there were always multiple causes. Traditional single-label classification method cannot be used here to automatically tag the multiple fault causes. In this paper such kind of fault diagnosis problem is transformed to the multi-label classification problem, and a multi-label classification method (MBAN-MLC) is proposed for fault diagnosis automation. MBAN-MLC is based on a Bayesian network-augmented Na
    Keywords: multi-label classification; multi-label learning; Bayesian network; Bayesian network-augmented Naive Bayes; multiple classifying nodes; fault diagnosis.

  • Dynamic Data Source Selection for Humanistic Culture Integrated Information Retrieval   Order a copy of this article
    by Song Deng 
    Abstract: There are hundreds of data sources in tourism, and the quality of data in data sources is quite different. How to obtain high-quality integrated information from a few data sources has become an important research direction, so the technology of data source selection arises at the historic moment. One of the core technologies of data source selection is to construct data source summary. When the data source content updates, it will inevitably lead to changes in the data source summary. The calculation work load to completely update the summary is huge, so a partial update strategy is used to improve the efficiency. In order to enhance the efficiency of tourism cultural information integration, we propose a new dynamic data source selection strategy. Firstly, we build a data source summary based on the relationship between people and characteristic words. Then, We design a local summary updating algorithm based on sampling technique. Finally, we propose a scoring method of data source base on the gain of cultural content of a single or synthetic character for integration purposes. We conduct a number of experiments based on field data collection, and the results showed that compared with the existing update algorithms, our method has higher accuracy. Therefore, it can provide effective support to character or attraction integration.
    Keywords: Data Source Selection; Cultural Integration; Dynamic; Information Retrieval.

  • Time Series Difference of Collaborative Evolution of Industrial Structure of the Urban Agglomeration along the Middle Reaches of the Yangtze River   Order a copy of this article
    by Zhenyuan Liu, Shuhua Hu, Renyan Mu, Lijun Wang, Zheng Wang 
    Abstract: The City Cluster along the Middle Reaches of the Yangtze River is an important regional economic pole, and its industrial structure is the key to the economic growth of this region. Based on the methodology of system theory and synergy, the paper constructs the concentration-deviation measure system of industrial collaborative development. According to the concentration-deviation assessment of the evolution of industrial structure of the City Cluster along the Middle Reaches of the Yangtze River from 2004 to 2014, the paper points out the features and problems concerning optimization of industrial structure, and then offers strategies accordingly.
    Keywords: industrial structure; collaborative evolution; the City Cluster along the Middle Reaches of the Yangtze River.

  • Railway route optimization from Romania to Poland based on an analysis of Chinas "One Belt and One Road" initiative   Order a copy of this article
    by Yang Wang, Xiaochun Lu 
    Abstract: With the proposal of the "One Belt and One Road" initiative, a new strategic route is underway. It travels from China to Afghanistan, Iran, Turkey, Romania, Poland, and Western Europe. This is a new rail route, and the exact path is unknown. This paper focuses on the railway route between Romania and Poland. Railway lines between two countries can be two different gauge rails, which can lead to transshipment problems. A dynamic programming model is established to find optimized railway routes between these countries. In the optimization model, the transshipment stations on country borders are set as constraints. First, four shorter routes from the hundreds of railway lines are obtained by the Dijkstra-based dynamic programming algorithm. Next, by accounting for the transit service abilities of railway stations, we estimate the total transportation time using Monte Carlo simulations. Finally, we obtain the two best routes. The first one passes Bucharest, Nevetlenfolu, Brest and Warsaw, and the second route is from Bucharest, Nevetlenfolu and Medyka to Warsaw. However, these two routes are not the shortest paths. We found that the line from Bucharest to Nevetlenfolu is the common section of two routes. The Nevelenfolu railway station may become a bottleneck of the two routes. Therefore, future upgrades of the Nevetlenfolu railway station will be vital. At present, these railway lines have not played role in trade between China and Europe, but they may become important transportation lines in the future.
    Keywords: One Belt and One Road; Transshipment service ability; Shortest path algorithm.

    by Jianjun Wang, Lei Zhou, Fachao Li 
    Abstract: The two-stage delay distribution problem is a class of special programming problem. In real life, the supply, demand and transportation environment are with uncertainty. If the random customer demand dose not reached full load, we will choose the decision of the delay delivery or delivery on schedule based on minimize expectation cost. In this paper, based on the analysis of the random distribution characteristics and deficiencies, a class of two-stage delay distribution stochastic programming model with compensation mechanism is put forward. Through synthesizing the expectation, variance and probability distribution of cost factors, stochastic programming model can be converted into a class of crisp programming models. Finally, combined with the case of the vehicle distribution, using the analytical method, the proposed model is applied to get the optimal solution which can reduce transportation costs and improve the profitability.
    Keywords: Compensation mechanism; Minimize expectation cost; Non load distribution; Synthesizing effect.

  • Modeling and Improvements of Production Processes using OptQuest and Process Analyzer   Order a copy of this article
    by Salih Aka 
    Abstract: Simulation models are methods that show the development opportunities in existing systems, and determine the performance difference between existing and desired systems. In a simulation model, the model must be structurally reconstructed or the parameters changed to see the difference between the first and after stages. However, alternative situations can be evaluated with Process Analyzer and OptQuest without the need to reconstruct the system. The Process Analyzer provides the running and comparison of alternative scenarios built by changing variable and parameter values in a simulation model. OptQuest module is an optimal search simulation tool that looks for the best solution through input variables and constraints to serve objective functions of the model. The aim of this study is to show that Process Analyzer and OptQuest can be used in improving of production processes. Process Analyzer and OptQuest provide computational simplicity with their user-friendly interfaces in improving production processes. According to current production process simulation model, a large number of iterations are performed in the direction of resource and capacity constraints through OptQuest and Process Analyzer, and the results that provide the best performances are determined. Finally, the best response values are achieved when the number of package maker (PM) and capacity of package are two.
    Keywords: production processes; process improvement; simulation; OptQuest; Process Analyzer.

  • Integrating Business Processes of Container Sea-rail Combined Transport   Order a copy of this article
    by Yunfang Ma, Dan Chang, Fenfen Wang 
    Abstract: Container sea-rail transport is increasingly becoming a mainstream mode of transport. It is an effective way to improve the transport efficiency by integrating the business processes of container sea-rail combined transport. According to analyze the business processes of container sea-rail combined transport, this paper designs the integration framework based on four levels: the base layer, the integration layer, the information transfer layer and the information presentation layer. Arena is used to simulate the process. The simulation results show that the freight transportation cycle of the railway transportation, ocean transportation and container sea-rail combined transport is reduced. Therefore, it is feasible and necessary to integrate the business process of container sea-rail combined transport.
    Keywords: container; sea-rail combined transport; business process; integration; simulation.

  • Research on Fuzzy Security Testing of Document Format Based on Formal Method   Order a copy of this article
    by Shuang Ren, Honghui Li, Fangnan Yang, Ying Xing 
    Abstract: In this paper, the formal method is applied to the fuzzy testing of document format to meet the requirement of corresponding security testing. The general format UOF (Uniform Office Format) of Chinese office software is taken as an example. This paper studies the description of the structure, characteristics and interdependence of the document format by Z language, and proposes a method used for formal document format feature extraction and fuzzy testing case generation. Further, this paper presents a design scheme of FileFTester, a document format security testing tool, which can not only automatically generate test cases, but also adapt to various office document format security testing. The tool is universal and scalable.
    Keywords: Document format; Fuzzy testing; Test case generation; Z language; Formal software testing.

  • Analysis on the Core Competitiveness of Shenyang Equipment Manufacturing Industry   Order a copy of this article
    by Wei Xu, Fengyi He, Qingshan Zhang, Lina Liu 
    Abstract: This paper, after extracting 6 factors which affect the equipment manufacturing in Shenyang according to the data of local 54 equipment manufacturers with the grounded theory coding method, measured out the importance of various factors through the multiple linear regression analysis, and analyzed the reasons by leveraging statistical analysis software (SPSS). The results reveal the moderate growth in the output from Shenyang equipment manufacturing industry, whose core competitiveness is boosted by the market demand, innovation capability, foreign investment and international markets and inhibited by the company size and personnel management. Based on the conclusions, many methods are proposed to enhance the core competitiveness of the equipment manufacturing industry in Shenyang.
    Keywords: Core Competitiveness;Equipment Manufacturing Industry;Influence Factors.

  • System Dynamics Model for Battery Recycling of Electric Vehicles in Anylogic Simulation   Order a copy of this article
    by Shouhua Feng 
    Abstract: Which factor can affect battery recycling, and how these factors affect battery recycling have not been emphasized on, and it is the system engineering.Therefore, based on SD and Anylogic simulation platform, SD model of battery recycling is built. It analyzes the influence that electric vehicle production rate, electric vehicle/battery lifetime, battery renovation times, battery recycling rate and battery renovation rate does on recycling (the quantities of spent batteries, the quantities of total batteries and the proportion of used batteries).Some important conclusions are obtained, such as when battery lifetime prolonged one year,the quantities of spent batteries, the quantities of total batteries and the proportion of used batteries decreases about 40%,15% and 10% respectively; The parameters influence on simulation results depend on the relative life of the battery and the vehicle greatly, etc. So we can take actions to promote the healthy development of electric vehicle industry.
    Keywords: electric vehicle;battery recycling;system dynamics;Anylogic.

  • Research on the FJSS Problem with Discrete Equipment Capability in Could Manufacturing Environment   Order a copy of this article
    by Hongguo Zhang, Chao Ma, Shuli Zhang, Shenghui Liu 
    Abstract: In the cloud manufacturing environment, the flexible job shop scheduling needs to handle the online task and offline tasks simultaneously, which make the processing time of equipment become from continuous to discrete. For solving this issue, a mathematical model considering discrete equipment capability was proposed. In this model, the additional profits constraint and the equipment capability conflict constraint are introduced. The former was used to promise the optimal solution is profitable for the manufacturing enterprise; the latter was used to promise the online task coming from the other manufacturing enterprises can be processed. Then an improved ant colony algorithm is adopted to solve this problem. Finally, the experimental results show that the flexible job shop scheduling problem with discrete equipment capability in cloud manufacturing environment could be solved effectively.
    Keywords: Cloud Manufacturing; Flexible Job Shop Scheduling; Discrete Equipment Capability; Mathematical Model; Ant Colony Algorithm.

  • Wolf Pack Algorithm for Optimization of Cutting Parameters in WEDM using Taguchi Method   Order a copy of this article
    by Yanqiu Xiao, Wuyi Ming, Dili Shen, Wenbin He, Jun Ma, Jianqiang Jiao 
    Abstract: The optimization of cutting parameters for Wire Electrical Discharge Machining (WEDM) is one the most difficult combinatorial optimization problems, due to their complicated, coupled, and nonlinear nature of the input-output variables of them. An exact solution for a WEDM optimization problem cannot be easily obtained within a reasonable amount of time. Therefore, a meta heuristic algorithm is required (e.g., Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Wolf Pack Algorithm (WPA), etc.). The objective of this paper is to develop a robust approach using WPA to obtain the optimized combination of cutting parameters for the process of WEDM. Hence, a Taguchi orthogonal array is proposed instead of a full factorial experimental design for determining the parameters of the WPA. The effects of the WPA parameters on optimizing the cutting parameters are disclosed and an analysis of variance is performed to investigate significance factors on the results. By experiments of WEDM, an application was presented to illustrate the effectiveness of the proposed approach. Compared with the S/N ratio statistical method of reported previously, the performance of Ra and Material Removal Rate (MRR) were improved by 12% and 3.99%, respectively.
    Keywords: Combinatorial Optimization; Wolf pack algorithm; Taguchi orthogonal method; Wire electrical discharge machining.

  • Research on interaction between logistics industrial clusters and urbanization based on system dynamics and cloud model   Order a copy of this article
    by Xiaoye Zhou, Jingyi Ma, Dongming Fu, Hongyue Yan 
    Abstract: For the problem that some parameters in system dynamics model are difficult to quantify, cloud model, which has the excellent characteristic of qualitative and quantitative transformation, is used in the determination of parameters of system dynamics model. Firstly, the system dynamics model revealing interactive development between the logistics industrial clusters and urbanization is proposed. Secondly, the specific procedures of parameters calibration based on cloud model are given. Finally, a case study based on Shenyang Economic Zone is employed to verify the proposed model. According to the simulation results, some best suggestions on interactive development between logistics industrial clusters and urbanization are put forward.
    Keywords: logistics industrial clusters; urbanization; system dynamics; cloud model.

  • Coordination of production scheduling and vehicle routing problems for perishable food products   Order a copy of this article
    by Xueli Ma, Shuyun Wang 
    Abstract: This paper considers the integrated optimization of production scheduling and vehicle routing problems for perishable food products under a manufacturer-retailer supply chain model. Considering the perishable characteristics and randomness of market demands and delivery time, an integer nonlinear programming model is constructed. Combining an improved genetic algorithm(GA) and a random simulation algorithm(RA), we design a hybrid GA-RA algorithm. To validate the proposed model and the algorithm, a case problem of a catering service company and some different sizes of test examples from Solomons problem set are analyzed. The results show that arranging the production order and vehicle route simultaneously can significantly improve both the freshness of perishable food products and the customer service level. The proposed hybrid algorithm can obtain stable optimal solutions within a limited period of time for different sizes of such problems.
    Keywords: Perishable food product; coordination; production scheduling; vehicle routing; soft time window.

  • Indirect Effect Mechanism of Supply Chain Relationship Quality on Supply Chain Performance   Order a copy of this article
    by Xiaoping Li 
    Abstract: This paper built the conceptual model of supply chain relationship quality through information sharing or supply chain logistics capability effect on supply chain performance indirectly. By using structural equation 227 manufacturing enterprises survey data has been analyzed in Jiangsu Province and is concluded that in addition to the supply chain relationship quality through information sharing or supply chain logistics capability effect on supply chain performance actively, also, in turn, through information sharing, supply chain logistics capabilities effect on supply chain performance indirectly.
    Keywords: supply chain relationship quality; supply chain logistics capability; information sharing; supply chain performance.

  • Business Intelligence for Order Fulfilment Management in Small and Medium Enterprises   Order a copy of this article
    by Danny Ho, Daniel Mo, Eugene Wong, Simon Leung 
    Abstract: In this study, we investigate business intelligence (BI) tools that help a small and medium enterprise (SME) to improve its supplier order fulfilment management. Making use of the huge amount of data in its enterprise resource planning system, the company can seek opportunities for building collaborative supplier relationships to implement a just-in-time strategy. The proposed BI tools are developed to select suppliers with whom to form collaborative relationships. In addition, a BI dashboard is developed for the company to manage the cash conversion cycle of its supply chain. Developing BI tools that make use of limited information technology resources, we address the business and technical challenges of large unstructured datasets and lengthy computation time. The results show that SMEs can benefit from BI tools at an affordable cost, joining the emergent trend of deploying business analytics to make systematic innovation.
    Keywords: Business Intelligence; Small and Medium Enterprise; Order Fulfilment Management.

  • Application of Optical Character Recognition with Tesseract in Logistics Management   Order a copy of this article
    by Sigurd Anders Berg, Soo-Yeon Seo, Richard Hau Yue So 
    Abstract: Warehouse and inventory management poses many challenges, for example in carton handling when upstream suppliers use labelling systems that are incompatible with a companys downstream system. In such cases, information is digitised using manual labour: this process can often become a bottleneck and, eventually, a source of handling errors. In this paper, the feasibility of applying Optical Character Recognition (OCR) technology in carton handling is assessed, and a prototype based on the open-source engine Tesseract is described in detail. Its performance on both printed and handwritten text is quantified, as well as the impact of turning the problem into a matching problem rather than a pure recognition problem.
    Keywords: Optical character recognition; OCR; binarisation; Tesseract; logistics management; pattern recognition; image processing; warehouse material handling; business rule; data capturing; data integration.

Special Issue on: Data Intensive Services based Applications

  • Automatic Service Abstraction through Data, Information and Knowledge Prioritization   Order a copy of this article
    by Yucong Duan 
    Abstract: Web service is a popular solution to integrate components when building a software system, or to allow communication between a system and third-party users, providing a flexible and reusable mechanism to access its functionalities. Scientists have been proposing numerous models for defining anything as a service (aaS), including discussions of products, processes, data and information management, and security as a service. Various web service based systems are prevailing in health service, personalized recommendation provision. We propose a framework towards constructing and searching typed resources in terms of data, information and knowledge through a hierarchy composing Data Graph, Information Graph and Knowledge Graph in order to improve performance in accessing and processing resources. We use cases to illustrate the mechanism of the framework.
    Keywords: service abstraction; data graph; information graph; knowledge graph.

  • Deep Well Construction of Big Data Platform Based on Multi-Source Heterogeneous Data Fusion   Order a copy of this article
    by Yanping Bai 
    Abstract: Abstract: At present, energy saving and emission reduction had become a problem of great concern for mankind. People all over the world were actively developing the economy of energy saving and emission reduction. At the same time, there were some problems in the mining industry, such as waste of resources, low efficiency and easy occurrence of industrial accidents. Therefore, this paper, based on the national key research plan - basic theory and key technology of deep well construction and lifting in coal mine, had designed a set of deep well big data system based on multi-source heterogeneous data fusion, and had set up a deep well construction big data platform. The high precision and bear great pressure sensors were added to the system to solved the difficult problem of collecting information in deep wells by ordinary sensors. The multi-source heterogeneous data fusion algorithm was added to the system to solve the problem that the format of the data acquisition was different. The big data information technology was used to store and manage the data to solve the problem of processing efficiency of massive data. At the same time, the platform could process and track data, and show the relevance of data more intuitively, which provided a basis for experts to predict and predict. In conclusion, the completion of the platform could achieve data monitoring in the process of mine completion. It not only helps to enhance the safety of mine construction, but also provides data and analytical tools for further theoretical research of mine construction, and lays the foundation for research.
    Keywords: Deep well; Multi-source data fusion; Big data.

  • Towards Business Process Recommendation based Collaborative Filtering   Order a copy of this article
    by Wei Luo, Zhihao Peng, Ansheng Deng, Xiaoming Bi 
    Abstract: Existing process recommendation methods cannot meet the various needs of personalized users. To address this problem, this paper proposed a personalized process recommendation method that is based on user behavior preference. This method combines traditional process recommendation with user behavior similarity and mines user behavior preference according to the historical tracks of processes that were performed by users. In the execution of a process, the execution trace of a behavior-similar user and executable candidate activities to be recommended that are provided by conventional process recommendation are analyzed. Then, activities or recommended activities for the current user are selected to realize the automatic construction of the entire process to meet the personalized needs of users. The experimental results show that the proposed method outperforms other methods in terms of accuracy and efficiency.
    Keywords: Business Process Recommendation; Flow Similarity; User Preferences; Collaborative Filtering; Personalized Process Recommendation.

  • A Classification Algorithm Based on Weighted ML-kNN for Multi-label Data   Order a copy of this article
    by Ming Jiang, Lian Du, Jianping Wu, Min Zhang, Zexin Gong 
    Abstract: The ML-kNN algorithm uses naive Bayesian classification to modify the traditional kNN algorithm to solve multi-label classification problems. However, the ML-kNN algorithm is prone to misjudgment or incomplete judgment of the unseen instance's label set in two special cases: when the number of labels in the training set is not balanced and when the training instances are unevenly distributed in space. Therefore, a weighted ML-kNN algorithm (i.e., wML-kNN) is proposed in this paper. The main idea is to assign different weights to each label according to the proportion of labels and the mutual information of the spatial distribution of unseen instances to training instances. This method can reduce the probability of misjudgment of the unseen instance's label set. A comparative study was conducted on four multi-label datasets that included review classification and three other published benchmark multi-label datasets: yeast gene function analysis, natural scene classification, and musical sentiment classification. The results show that the performance of the wML-kNN algorithm is better than the other four multi-label learning algorithms, including ML-kNN.
    Keywords: multi-label learning; weighted multi-label kNN; k-nearest neighbor; ML-kNN.

Special Issue on: Symposium on Intelligent Supply Chain Management 2017 Digitalisation and Innovation in Logistics Management

  • Bluetooth-based positioning techniques for the cold chain application   Order a copy of this article
    by Y.P. Tsang, K.L. Choy, C.H. Wu, H.Y. Lam, G.T.S. Ho, P.S. Koo 
    Abstract: In cold chains, the essentials of cold storage are the chilling and freezing storage sections. Due to occupational safety concerns for the warehouse workers in such a cold environment, this paper describes a Bluetooth-based Access Management and Positioning System (BAMPS) to monitor worker location and movement in chillers and freezers, inspired by the growth of Internet of Things. In complying with the ISO11079, their occupational safety in term of exposure duration and recovery time in cold environments can be controlled. The Bluetooth Low Energy module is used for the transmitting and receiving sensing data in the cold storage environment. The positioning module is designed using Kalman filtering to eliminate signal variations instead of pre-requested calibration. Hence, the workplace ergonomics and monitoring in cold storage environment are enhanced. The significance of BAMPS is in exploring occupational safety management and real-time positioning in cold storage facilities.
    Keywords: positioning techniques; occupational safety; cold chain; Bluetooth Low Energy; Kalman filtering.

  • Business Intelligence for Service Parts Logistics Management   Order a copy of this article
    by Nicole K. Y. Chan 
    Abstract: Many leading companies now offer global customers better spare parts services for system maintenance through a complex service logistics network, which extends traditional on-site stocking management to boost profit margins. The major challenge that spare parts service providers face is how to achieve desired service levels at a low cost and minimise excess inventory in the global spare parts supply chain. To address this issue, we demonstrate an inventory redeployment strategy that transforms a conventional spare parts supply chain into a closed-loop, multi-echelon service network capable of redeploying inventory from overstocked to understocked facilities, and thus reducing purchases of high-value spare parts. To assess the quality of our novel approach, we used a network flow optimisation model to analyse the proposed excess inventory redeployment strategy based on an international companys service parts operations. Significant inventory cost savings were identified.
    Keywords: Inventory management; service logistics network design; network flow model; spare parts.

  • Design of Intelligent Transportation Systems for Accessible Transportation Services   Order a copy of this article
    by Tin Lun Louis Man 
    Abstract: The demand for public transportation designed for people with mobility issues has grown rapidly in recent years, but service capacity has not increased at the pace of demand. Demands for major increases in service capacity have strengthened in recent years. In this paper, we study the design of an intelligent transportation system for accessible transportation services to enhance user experience and organisation operational efficiency. Our proposed system includes the components of data visualisation, real-time tracking via a mobile app and a vehicle scheduling optimisation mechanism. These three components are integrated in offline and online platforms. We illustrate the design and benefits of the proposed system through a case study.
    Keywords: Intelligent Transportation System; Vehicle Routing Problem; Mobile Apps; Process Flow.

  • Simulation Analysis of a Manufacturing Company   Order a copy of this article
    by Tommy Cheung 
    Abstract: Traditionally, many manufacturing companies focused more on the higher level of operation management, like assigning tasks to workers, and work scheduling. They often ignored low level operations and their timing optimization. As a result, a lot of these manufacturers suffer from inefficient and uncoordinated operations. Bottleneck would inevitably occur at some stages of the production, which caused the work-in-process goods to build up everywhere in the production plant. This paper used a simulation approach to analyse the low level manufacturing operations in details with the objective to identify the bottleneck and resolve the work-in-process inventory problem, without production out degradation.
    Keywords: Simulation; Manufacturing; Process; Work-in-Process.

Special Issue on: Recent Technologies and Applications in Big Data-Inspired Data Acquisition, Processing and Analysis for Wireless Sensor Networks

  • Design of candidate schedules for applying iterative ordinal optimization for scheduling technique on cloud computing platform   Order a copy of this article
    by Monika Yadav, Atul Mishra, BALAMURUGAN BALUSAMY 
    Abstract: In cloud computing, distributed resources are used on demand basis without having the physical infrastructure at the client end. Cloud has a large number of users and to deal with large number of task, so scheduling in cloud plays a vital role for task execution. Scheduling of various multitask jobs on clouds is considered as an NP-hard problem [1]. In order to reduce the large scheduling search space, an iterative ordinal optimization (IOO) method has already proposed. In this paper, a set of 30 candidate schedules denoted by set U are created. The set U is used in the exhaustive search of the best schedule. After analyzing the set U, an ordered schedule vs. makespan graph is plotted. So in this work, set U is defined and created a base for applying IOO method to get optimal schedules. In this work, CloudSim version 3.0 has been used to test and analyze policies.
    Keywords: Cloud computing; iterative ordinal optimization; makespan; CloudSim; Schedules.