Showing papers presented at "International Conference on Logistics, Informatics and Service Sciences in 2016"

Fuzzy delphi method: Issues and challenges

Abstract: The Fuzzy Delphi Method (FDM) is the modified and enhanced version of the classical Delphi technique. Improvement was made to rectify the imperfection of traditional Delphi Method (DM) that leads to low convergence in retrieving outcomes, loss of important information, and long progress of investigation. Nevertheless, this approach has been employed in various application domains, including humanities, management, business, physical science, and engineering. Furthermore, the literature has exposed numerous key issues in relation to the existing FDM that need to be resolved with regard to the classical DM. Hence, the analysis obtained from the existing literature highlighted two key issues, which were; i) most FDM ignored certain important characteristics of DM, and ii) lack of explanation on how FDM obtained controlled feedback with the lack of iteration process. Additionally, it was observed that there had been lack of comparison between decision outcomes obtained based on FDM and the decision outcomes obtained from the traditional DM.

Analytical travel time models for multi-aisle automated storage and retrieval systems

Abstract: Acceleration and deceleration of the AS/RS machine in automated storage and retrieval systems are considered in this paper instead of uniform speed, and there are curve channels in the warehouse. Based on the above hypothesis, the time function and distance function are studied in this paper. The distribution function of the distance and time is given. On this basis, the expected travel time of the automated storage and retrieval system is studied. Finally, a numerical example is given to draw the conclusion that this model is more practical.

Smart manufacturing and supply chain management

Abstract: Within the ongoing fourth industrial revolution, smart manufacturing will plays critical role in national level for the growth of the national economy, but also firm level for the sustainable development of the manufacturing activities and the whole supply chain. This paper aims to explore the influences of smart manufacturing to supply chain management, and based on broad literature review this paper also develops several propositions for further explore insights of improving supply chain performance under the context of smart manufacturing.

A research on tracing code of culture of food safety traceability based on RFID and improved EPC

Abstract: In regarding to problems existing in the EPC (Electronic Product Code) coding structure model used in food safety traceability, combined with features of food safety traceability, based on host-guest thought improves the design, this paper establishes a traceable safety information coding for beef cattle based on EPC. The coding systematically solves the coding problems of key information in the procedures of tracing the quality and safety of beef cattle, which is featured with low cost and strong scalability. Operation in the field indicates that the coding system is well in running to provide encoding support for establishment of traceability system for quality and safety of beef cattle.

Using support vector machine for online purchase predication

Abstract: E-commerce has become a vital contributor to China's national economy. A mass of users' behavioral data on E-commerce platforms such as browse, click and purchase have being accumulated during DT era. Using machine learning algorithms to explore patterns behind big data grows into a new focus of research. In this paper, firstly, we use SQL Server to do feature extraction on those behavioral data. Secondly, Libsvm, a software package based on SVM, is used to train the features collected above to build a predicting model. Finally, we employ the model to predict the future buying conditions of online consumers and acquire a desirable outcome. Thus, to a certain extent, our study has a practical significance to discover regular patterns of online shopping as well as improve products recommendation accuracy and conversion rate of e-commerce.

Dynamic pricing considering strategic customers

Abstract: Dynamic pricing is increasingly applied to supply chain management and the key of successful application of dynamic pricing is to correctly understand consumer's behavior. In the face of a variety of dynamic pricing strategies, more and more consumers become smarter, and they forecast the future price before making a purchase decision. These types of consumers are called the strategic consumers, corresponding to the myopic consumers. In this paper, we study the dynamic pricing problem considering the strategic consumer behavior, and establish the game model between the retailer and consumers. First, we establish the dynamic pricing model of the retailer in the case of supply exceeding demand and demand exceeding supply. Second, we list the equilibrium conditions for the optimal dynamic pricing strategies, derive the optimal dynamic pricing strategies, and finally analyze the result with numerical simulation.

Integration application system of Chinese wooden architecture heritages based on BIM

Abstract: Being a particular structure of ancient architecture in China, a large amount of wooden architectures were inscribed on the World Heritage List. The components can be perceived as the carriers of multivariate information which will increase and update over time in a long term. To strengthen the correlation between digital information and components of architectural entities, and meet the growing demands of the preservation of cultural relics as well, this BIM-based project integrates knowledge from different disciplines as Architecture, heritage conservation theory, logistics information and information management. It aims to build on a feasible management system of heritage units with more scientifically records, operation, maintenance, management and display by employing the building information model. Under the circumstances of a boom in computer technology and Big Data, this project attempts to bridge the gap between advanced information management and wooden-structured architectures.

The road to disruptive success

Abstract: This article explains the study conducted in order to test the hypothesis that the combination of disruptive innovation or, at least, revolutionary innovation, and visionary leadership are necessary conditions for the disruptive success of innovation-related startups. The author ranked, short-listed and then analyzed five cases in North America, one in Europe and three in East Asia. The analysis validates the tested hypothesis, suggests additional hypotheses and tips for further research.

Modeling of multi-train seat inventory control based on revenue management

Abstract: As ticket income is the main part of railway passenger transportation revenue, rail companies have to deal with seat inventory control problem to maximize the overall expected revenues. This paper develops a multi-train seat inventory control model (MSIC) based on the Revenue Management (also known as Yield Management) theory. This model introduces Origin-Destination (OD) inventory as a constraint by assigning the number of seats to each train and OD to control the seat inventory capacity among different trains. Comparing with the existing models, this model makes it possible to maximize the overall revenue of a whole train line plan rather than a single train, which is more suitable for the practice of railway operation. Meanwhile, the model can also provide theory and tool for marketing staff monitoring and adjusting ticket allocation to improve ticket sales. A case study on a partial train line plan of Beijing-Guangzhou High Speed Railway (HSR) proves that the MSIC model can increase the overall revenue by optimizing passenger distribution on different trains.

Integrated platform for smart traffic big data

Abstract: City officials often lack access to data and methodologies to assist them to design urban freight policies that effectively balance the needs of citizens and consumers. This paper reviewed literature on traffic data visualization and presented some typical applications of urban logistics integrated platform with their candidate tools, then put forward the route map to process big traffic data with collaborative trends, finally integrated and illustrated with real traffic data grabbed from the Beijing Municipal Commission of Transport.

Satisfaction, trust and online purchase intention: A study of consumer perceptions

Abstract: This paper tries to do the research of analyzing the relation of the customer trust, the customer satisfaction and purchase intention under the electronic commerce shopping environment. Drawing on the theory of customer trust, customer satisfaction and purchase intention, based on a survey of 102 respondents from the University in China, the United Kingdom, and the United States, the results showed that there is significant correlation between satisfaction and trust, satisfaction and purchase intention, trust and purchase intention, and more than 50% of respondents chose Taobao and Tmall, and the second is Amazon when they shopping onling. It could be expected that this kind of study is able to provide suggestion and guide for internet merchant.

Mining organizational behaviors in collaborative logistics chain: An empirical study in a port

Abstract: Major advantages can be achieved for service improvement in modern logistics through effective collaborations. As a result, many logistics operational processes have developed into collaborative logistics chains involving different organizations. Organizational behaviors have a strong impact on the success of collaborations. However, it remains a challenging problem to reveal the real organizational behaviors in the collaborative logistics chains in a dynamic environment. This paper investigates the organizational behaviors in collaborative logistics chains from a process perspective using a synergy of process mining and social network analysis techniques. A method for mining organizational behaviors is presented, including process event log collection, work delivery flow discovery, and organization structure mining. An empirical study is conducted in an important Chinese port. Insights are obtained in terms of the working delivery patterns and organizational structures in the collaborative logistics chain. Recommendations to enhance the collaborations are given.

Improve TSP problem allowing multiple vehicles distribution

Abstract: TSP (Traveling Salesman Problem) is the generalization and simplification of a variety of complex issues that arise in many areas, which is easy to describe but difficult to solve as an NP complete problem. Based on the TSP problem, we allow more than one vehicles to distribute goods in the transportation network, and each node in the network can be serviced by more than one vehicles. We build a more realistic model of TSP transportation and distribution, and solve the model.

Study on efficiency of supply chain based on single revenue sharing contract and double contracts combination

Abstract: Supply chain contract plays an important role in the coordination of members of supply chain. The existing application of supply chain contracts is mainly based on a single contract, which exist some limitations. From the point of combination of supply chain contracts, we establish two models based on system dynamics, one is revenue sharing contract model and the other is the combination model consisting of quantity discount contract and revenue sharing contract. Then, we use Vensim to simulate. The results show that the combination model is more conducive to the overall efficiency of the supply chain. This paper provides a new way for the study on supply chain coordination.

Bidirectional CABOSFV for high dimensional sparse data clustering

Abstract: The classic algorithm for high dimensional sparse data clustering, CABOSFV, is unidirectional which increases the complexity of parameter adjustment along with the instability of clustering quality. This paper proposes Bidirectional CABOSFV by defining Bidirectional Sparse Feature Vector (B-SFV) and addition-subtraction of B-SFVs. The experiments on UCI data sets show that Bidirectional CABOSFV retains the superiority on high dimensional sparse data clustering, and the efficiency and quality has been improved.

High-performance work systems and job satisfaction: Mediation role of organizational identification

Abstract: Based on the social exchange perspective, this paper explore the relationship between high-performance work systems and the employee job satisfaction, and analyze the mediation effect of organizational identification. Through more than 200 employees at different levels in the enterprise investigation and using hierarchical regression analysis to deal with the data, the results show that: (1) High-performance work systems are positively associated with job satisfaction. Through the questionnaire analysis with high-performance work systems, we gain six dimensions of high-performance work systems: common development training system, intensive employee involvement, strict recruitment/selection, systemic performance management, timely information sharing and clear job design, and the six dimensions all have significant positive effect on job satisfaction. (2) High-performance work systems are positively associated with organizational identification. (3) Organizational identification plays partial mediation role between high-performance work systems and job satisfaction.

Study on online music business model innovation based on value chain theory

Abstract: The emergence of online music has brought a great change into the music industry, it also has brought opportunities for the development of music industry. With the emergence and development of the Internet, the traditional music business model cannot adapt to the development of online music anymore, so that online music business model based on Internet thinking need to be established. Based on value chain theory, centered on Internet thinking, this article attempt to set up a new online music business models by analysis of the whole online music industry value chain and analyze the operation strategy and services mode of the business models.

Keep the products fresh: A QFD approach to improve the logistics service quality of cold chain

Abstract: With people's increasing requirements for fresh products, how to improve logistics service quality becomes a key issue for logistics service provider. The cold chain logistics service provided by the enterprises varies considerably in quality. Considering the diversification of consumer requirements, logistics service providers see customer satisfaction as the important decision factors. This paper introduces a method of quality function deployment (QFD) to discuss the service quality of cold chain logistics for fresh products, which will provide a better way to meet the customer requirements. Firstly, an index system of customer requirements for fresh products is found using analytic hierarchy process (AHP). Secondly, based on the internal service of enterprise, an index system of service technology is built. Then, a house of quality (HOQ) is formed through the establishment of correlation matrix between the customer requirements and service technology. Eventually, the method is applied in a company, translating the elusive customer requirements into corrective actions.

Research on risk management of engineering project

Abstract: This paper introduces the basic concept and characteristics of engineering project risk, summarizes the risks of engineering project, points out the types of engineering project risk, applies risk analysis to this kind of risk, expounds the risk management process and related risk management methods of engineering project, and gives the strategies of engineering project risk management.

Relationship analysis of the urban rail service quality, passenger satisfaction and loyalty based on the structural equation model

Abstract: Urban rail transit has been selected as the research object for this paper. Firstly, an index system has been established to evaluate the passengers' satisfaction and loyalty from the perspectives of service quality, passenger satisfaction and loyalty. Secondly, a passenger satisfaction and loyalty evaluation questionnaire for the urban rail transit service quality has been designed and a survey has been conducted. At last, based on the survey data, this paper has used the structural equation method to establish a model to analyze the relationship among the urban rail transit service quality, passenger satisfaction and loyalty. The model has made hypothesis on the relationship of city rail transit service quality and passenger satisfaction, passenger satisfaction and passenger loyalty, city rail transit service quality and passenger loyalty. (1) The urban rail transit service quality has a direct and positive effect on the passenger satisfaction. (2) The passenger satisfaction has a direct and positive effect on the passenger loyalty. (3) Part of the rail transit service quality factors has a direct and positive effect on the passenger loyalty. (4) The effect of the urban rail transit service quality on passenger loyalty was partially mediated by the passenger satisfaction.

Research on bus travel decision system based on generalized cost calculation

Abstract: This paper designed a bus travel decision-making system including two sub-module: bus line querying module and optimal travel program choosing module which based on generalized cost calculation. This system can provide different optimal travel scheme recommendations when the time value of residents, bus travel speed and overcrowding situation are differing during the non-peak time and peak time. The minimum generalized cost is 8.89 yuan for direct program in non-peak time, while 9.57 yuan for transfer program in peak time, so this decision-system can provide optimal travel suggestion under real-time traffic state.

Study on coordinated relationship between urban rail transit and land-use

Abstract: This paper establishes an evaluation index system of coordinated relationship between urban rail transit and land use. And the data envelopment analysis (DEA) model is applied to evaluate the coordinated relationship between urban rail transit and land use of Beijing from 2001 to 2014. Evaluation results that are generated by the model are conducive to analyze the change rule of coordination and find out the main factors which restrict coordinated development. The results show that, on the whole, Beijing rail transit and land-use fail to realize coordinated development. The contributing value of ratio of employees to citizens is maximum in the input values of land use system and the proportion of transit trips ranks first in the input values of urban rail transit system, which indicates the unbalanced space distribution of employment and residence and the low proportion of green transportation are key factors that have restricted the coordinated development between urban rail transit and land use. Additional, the improved values of invalid decision making units (DMU) are calculated in the paper with the guide of projection theory so as to provide a reference for the development of urban rail transit and land use.

The risk management under conditions of contract for EPC in overseas projects

Abstract: More and more companies go abroad to response to China's policy “the Belt and Road”. However, many companies suffer from great loss when they go out so that estimate risks factors in overseas project is very important. The interactions between the complex factors can be structured in a model that can help one to make a rational judgment. The EPC Contract risk model developed in this study is based on the Analytic Hierarchy Process improved by the addition of a Delphi survey. Then presents measures for avoiding risks in such form of contract to reduce loss in the process, so that we can increase profit in overseas projects.

Study on safety production management improvement of small and medium sized chemical enterprises

Abstract: Under the premise of analyzing the present situation of small and medium-sized chemical enterprises, adopted the industrial engineering method in improve production safety research combined with the 5S method in actual production, from the aspects of safety production management and 5S method among small and medium-sized chemical enterprise production and operation of security issues put forward some suggestions for chemical enterprises.

Political risks analysis for international project under the new situation-case study on the market of saudi arabia

Abstract: With the deep development and implementation of the Chinese “the Belt and Road” strategy, more and more Chinese project contracting enterprises are rapidly stepping towards the international project contracting market and join the market competition. Meanwhile, these enterprises are faced with more complex and harsh risks overseas. Under a series of new situations, such as complicated and changing international situation, growing regional conflicts, increasingly rampant terrorist organizations, these enterprises are also confronted with increasingly huge political risks. Saudi Arabia is China's largest engineering contracting market in the Middle East, but the situation in the Middle East is becoming more and more deteriorative because of the Syrian Crises and the diplomatic crisis between Saudi Arabia and Iran. Therefore, Chinese enterprises are faced with serious political risks in Saudi Arabia. In this paper, we took the political risks that Chinese project contracting enterprises faced in Saudi Arabia under the new situation as an example, and optimized as well as combined various risk management technologies. Finally, we put forward systematic recommendations on effective control of political risks and duly handling the results caused by the political risks.

The optimization of delivery vehicle scheduling considering the actual road network factors

Abstract: Vehicle scheduling of urban distribution is an important element of the logistics center's operation. The total scheduling cost is not only influenced by the satisfaction of customer service time window and the effective utilization of vehicle capacity, but also is closely related to the traffic flow, road capacity, vehicle saturation degree of intersection, traffic lights and road rules in actual road network. This paper proposes a two-stage model based on the shortest path's selection in the road network and vehicle scheduling, and designs a two-stage algorithm to solve it which combines both Dijkstra algorithm with improving labeling rules and simulated annealing algorithm with parallel local search rules. By taking a distribution center in Shahekou District of Dalian as an example, a vehicle scheduling plan in two weeks was calculated and compared with the original plan, which verified the effectiveness of the model and algorithm. Sensitivity analysis of two road network factors: traffic flow and forbidden roads, showed that change of traffic flow on the main road and moderate distance between forbidden roads and distribution centers have a great effect on vehicle schedules.

Study on the relationship between the team commitment, knowledge sharing and performance

Abstract: Unlike most of the empirical analysis, this paper applies netlogo multi agent simulation software to explore the complex and dynamic relationship between team commitment, knowledge sharing and performance. Combined with related parametric evolution curves, concluding: teams with higher level of commitment have bigger scale and higher total output, average level of output and level of effort decrease with the increase of exaggerated commitment value.

Research on the cooperation and competition strategies of port based on hinterland traffic condition

Abstract: On the basis of analyzing customer's choice behavior, this paper constructs a utility function of port and obtains an equilibrium pricing strategy before and after competition and cooperation by applying Nash equilibrium. In addition, it also analyzes the impact of hinterland traffic condition on the competition and cooperation between ports. The analyzed results demonstrate that with the improvement of hinterland traffic condition, part of ports use cooperation strategy, which can not only improve the overall profit and share of the cooperative ports, but also can enhance the interest and market share of non-competitive ports so that the improvement of overall interest and market share of regional port group can be realized.

Revenue-sharing contract for supply chain under a Cap and Trade system

Abstract: With the carbon emission Cap and Trade system, this paper constructs a single supply chain system which consists of one manufacturer and one exclusive retailer. The manufacturer's self-purifying technology investment and consumer low-carbon preference are all modeled. We reveal how to coordinate the supply chain by a revenue-sharing contract under the Cap and trade frame. The results indicate that the revenue-sharing contract can coordinate the supply chain and achieve the total supply chain's profit maximization. The feasible retailer revenue share range which makes every supply chain member better off depends on self-purifying efficiency, carbon emission trade price and consumer low-carbon preference pressure significantly.

Will CSR pay in the financial sector? An empirical study of a commercial bank's CSR orientation, corporate reputation and customer loyalty in western China

Abstract: With globalization, commercial banks are facing increasingly strong competition, and their success now depends less on their hard power, but more on such soft powers as product ideas and moral orientation. Consequently, how to win customer with higher service quality, and to maintain and enlarge customer groups, becomes a central issue for them. By way of a customer questionnaire, this paper investigates the relationship between commercial bank's CSR orientation, reputation and customer loyalty. By analyzing a sample of 216 customers from a commercial bank's 12 sub-branches in western China, the paper finds that a commercial bank's CSR orientation is significantly correlated to its reputation and customer loyalty, and that its reputation mediates CSR orientation's impact on its customer loyalty. To realize a differentiated competition, commercial banks are advised to better concentrate on their CSR efforts, and engage in such sustainable efforts as social enterprise, green finance and sustainable finance, so as to enhance their reputation and customer loyalty.