A GRASP to solve the multi-constraints multi-modal team orienteering problem with time windows for groups with heterogeneous preferences

<p>The mode of transportation is a means of connecting used by workers and students to be able to help with all daily activities. The development of transportation modes is increasingly significant with the addition of wider technological sophistication, so that there are more and more diverse types of transportation modes. The purpose of this research is to determine the factors that have the most influence on the choice of mode and provide more effective decisions among workers and students in the selection of public transportation modes to be used. In this research, the decision support system (DSS) method is used, namely the analytical hierarchy process (AHP) and elimination et choix traduisant la reality (ELECTRE) by performing multi-criteria calculations that compare the criteria and alternatives. Where the results obtained in this research is that the most influential factor in the selection of transportation modes among workers is time efficiency with a weight of 25.9 %, while the influential factor for students is cost which produces a weight of 30.7 %. The most effective and efficient alternative mode of transportation among workers is Go-Jek Bike, while for students it is Transmetro Deli.</p>

Transport volume in the Slovak Republic is growing continuously every year. This rising trend is influenced by the development of car industry and its suppliers. Slovak republic has also a geographic strategy position in middle Europe from the side of transport corridors (east-west and north-south). The development of transport volume in freight transport depends on the transport and business processes between the European Union and China and it is an opportunity for Slovak republic to obtain transit transport flows.In the Slovak Republic, road transport has a dominant position in the transport market. The volume of road transport has gradually increased over the past years. The increase of road transport is reflected on the highways and speed roads in regions which have higher economic potential. The increase of rail transport as seen on the main rail corridors is not as significant as in road transport. Trade globalization also has an influence on the increase of transport volume in intermodal transport. Predicted increase in transport volume for this transport mode is from 2,3 mil ton per year at present to 8 mil ton in the year 2020. Selection of transport mode and carrier is an important aspect for logistic management, because companies (customers) want to reduce the number of carriers which they trade and they create the system of several key carriers. Bigger transport volume and more qualitative transport service give a possibility to reduce transport costs. This trend is positive for carriers too, because the carriers can focus only on the selected customers and provide more qualitative services.The paper is focused on the selection of transport mode based on the proposed methodology. The aims of the paper are, definition of criteria which directly influence the selection of transport modes, determination of criteria based on the subjectively methods, creation of process for the selection of transport modes and practical application of proposed methodology.

Multimodal transportation plays a vital role in the efficiency of social economic, the path and transport mode selection in multimodal transportation contribute to the benefit of carriers and customers directly, on the basis of analyzing the transportation cost and time cost of multimodal transportation, a multi-objective model is proposed. It works on minimization of transit and transfer costs, and in order to meet the customer's demand in time, a punishment is set up. According to the characteristics of the model, a Floyd-GA algorithm is designed, through which the relative shortest path is found and the transport mode is distributed for each route. Finally, comparing the results with the traditional method, the effectiveness of the above algorithms is testified.

Tulehu Port, located on Ambon Island, is the main route of the maritime transportation system for entering and exiting Ambon Island and its surrounding islands. This port plays an important role in the transportation of passengers and goods. High activity levels and long journeys to the port make many passengers choose private transportation over public transport, which is lacking in both quality and quantity. The purpose of this research is to identify the factors, percentage values of the criteria, and to determine the probability values of the selection of public transportation and private transportation modes at Tulehu Port. The choice of transportation mode plays a crucial role in transportation planning at Tulehu Port to understand the community's preferences for the chosen transportation modes. For this, a binary logit model method based on multiple linear regression analysis was used. The analysis results show that the factors of time, cost, comfort, and safety have a significant impact, with a significance value of <0.05. The mode selection variables for urban transport and private transport indicate that the time variable to Tulehu Port is 0.322, while for the mode selection from Tulehu Port, the comfort variable is 0.280. Meanwhile, the reasons respondents use urban transport to and from Tulehu Port are cost at 56% and 61%, while for private transport respondents to and from Tulehu Port, the reasons are comfort at 44% and speed at 58%. In terms of the probability of mode selection at Tulehu Port based on movement, for the route to Tulehu Port (Ambon – Tulehu), the chance of choosing urban transport is 42%, and for private transport, it is 58%. For the movement from Tulehu Port (Tulehu – Ambon), the chance of choosing urban transport is 39%, and for private transport, it is 61%. Keyword: Binary Logiet Model; Transportation Mode Selection; Multiple Linear Regression

The growth of air passengers impacted not only on the addition of fleets number and flight routes, but also on the provision of airports and facilities. Airport facilities are not only about terminal space and air-side facilities, but also related to the provision of intermodal facilities to and from the airport. In Indonesia, some airports have increased number of passengers, and some of them decided to move the old airport to a new location. Adi Sutjipto Airport in Yogyakarta plans to move its location to Kulonprogo district which is still in Yogyakarta province. The existence of a new location in Kulonprogo will affect on the selection of transportation modes. On the other hand, the mode choice goes to the new airport are not just overcome, but there are some characteristics factor from the passengers which are influence it . The passengers characteristics are the distance, kind of jobs, the monthly income, private vehicle ownership, the age level and the genders of passengers. The analytical techniques in this study are quantitative descriptive with clustering based on certain criteria using cross tabulation techniques. This study was carried out by giving a questionnaire on air passengers in Adi Sutjipto airport to gain an understanding of their characteristics and their selection of modes transport used when the new airport will be operate. The result of the research is the existence of relationship between characteristics of air passengers with the selection of modes transport to the new airport. Preference for the modes selection to new airport can be taken into consideration in decision-making related to the development of inter-mode facilities to the new airport in Kulonprogo in the future.

Thorough inventory control, planning and coordination, wise and thoughtful selection of warehousing and means of transport are necessary for efficient decisions making in logistics. In order to make optimal decisions, it is necessary to deliberate many options from the perspective of different criteria. It was empirically verified that such problems are difficult to solve without methodological support as they exceed humans’ perception capabilities. However, there are some techniques which can facilitate the process of decision making when successfully applied. One of the most commonly used technique for structured problems solving is the Analytic Hierarchy Process. It is popular because its prescribed procedure supports sophisticated mathematical theory called the Eigenvalue Method which is accurate and unique. It does not mean that there are not other methods that can support the Analytic Hierarchy Process although their application has pros and cons. Two relatively novel methods were proposed recently and their validation studies are the essential part of this research. In comparison with others, their simplicity and compliance with the Eigenvalue Method are their most crucial but not exclusive advantages. At the end of the research, the example logistic problem was solved with their application, and the results of all methods were compared. Keywords: Analytic Hierarchy Process, eigenvalue method, optimization models, decision support techniques, selection of transportation modes.

A national industrial distribution association approached us to develop a case study for its association members. The national association assumed responsibility for identifying educational needs of upper level, mid level, and lower level personnel in the industry. In the previous year, a case study had been developed to educate upper level managers in the strategic nature of distribution in their industry. The association found that upper level management had a great learning experience and wanted lower level workers to have the same opportunity to refine and enhance their knowledge on making inventory and warehousing decisions. The project objective was to develop a case study that would be used in a weekend workshop to educate operations and customer service personnel involved in making logistics-related decisions. The mid level operations and customer service personnel were to attend a two-day workshop to learn basic terminology, analyze the case study, and refine their current knowledge surrounding their job duties.
 This article describes the process of developing a case study for a national trade association and integrating learning opportunities for undergraduate technology students at Purdue University. The needs assessment phase of this project became an Inventory and Warehouse Management course project. The educational goal for the weekend industrial workshop, based on the case study, was to accomplish the following:
 
 Be valuable for companies with $5 million to $400 million in sales.
 Address the environment where employees typically handle 3,000 to 8,000 stock-keeping units.
 Teach the attendees in a highly participative setting.
 Incorporate small group activities.
 
 The educational materials to be developed for the weekend workshop were a new case study, workbook, supporting reading materials, PowerPoint presentation, glossary of common terms, and an evaluation instrument.
 The topic areas to be covered in the case study and the weekend workshop were:
 
 Inventory management and control.
 Product backorder and returned goods.
 Facility selection and layout.
 New product introduction.
 Order fulfillment routines.
 Selection of transportation modes.
 Multiple branch issues.
 New technology adoption.
 Human resource management.
 Key productivity measures.
 International issues.

Life cycle assessment and life cycle cost analysis of recycled solid waste materials in highway pavement: A review

Sustainable Transportation is one of the embodiment of sustainable development, sustainable development puts forward the concept of eco-friendly urban, where the concept aims to balance the increasingly rapid development activities with an eco-friendly transportation system that is integrated with other modes of transportation, particularly the public transportation. Through this research, it is expected that it will become a reference for planning the development of bicycle routes and lanes in the city of Palembang. The research method used was a quantitative descriptive approach, data collection techniques conducted through a questionnaire survey, the total population was 966 cyclists, the sample taken for respondents with the Slovin formula was 478 respondents. The sampling technique used was simple random sampling, the results of data processing will be illustrated in tables and diagrams and calculations for the study of bicycle route lane using a matrix of origin and destination. Based on the questionnaire data obtained, from the survey results of 478 respondents, the percentage of cyclist was predominantly male and it was 91%, based on the analysis of activity patterns of folding cyclists, it indicated that the use of bicycle was 77% and it intended to the purpose of sports trips, 8% was for the purpose of recreation, 6% was for the purpose of daily activities, 5% was for the purpose of social travel, and the last 4% was for work purposes. 20% of folding cyclists were aimed to the short trips 10 km, while the use of bicycles for medium distances, which was around 10 km to 40 km, with the largest percentages was 38% and 32%. 68% of folding cyclist stated that the bicycle mode was the most economical mode of transportation. Dealing with the analysis for the opportunity to develop special bicycle routes and lanes, bicycle users were enthusiastic to obtain supporting facilities in the form of special bicycle lanes, 97% of cyclists agreed that a special bicycle lane must be provided. The selection of roads for bicycle routes was based on the calculation of the origin and destination matrix for the cyclists, the districts of the most potential cyclists were selected as starting and ending points for the bicycle route. Thus, 2 alternatives were selected for the special bicycle route.

This paper presents the results of a quantitative study in the Czech Republic to understand travellers’ attitudes towards and motivation to use different means of transport. Two Czech cities, Olomouc and Ostrava, are compared from the point of view of factors influencing spatial and temporal patterns and citizen’s selection of transport mode and transport behaviour (range and daily movements of the population, perception of the quality of public transport etc.). The data for the analysis were obtained from the survey with more than 500 respondents in each city. Spatial and temporal behaviour represented by the pattern of the movement in Olomouc and Ostrava city was identified by statistical and visual analytics methods. Based on a case study of two cities of a different size, we conclude that the size and shape of the city centre (spatial structure) influence not only the distances travelled but also the average speed of public transportation (slower for a smaller city). Distances and choice of transport mode also vary with the density of urban areas but can also be influenced by the spatial structure of the city. The walking distance to a public transport stop does not influence the most frequently used mode of transport. Temporal patterns in both cities are very similar and are not dependent on city size or city spatial structure. The spatial patterns of the car and public transport flows are similar in both cities. Different patterns can be observed for walking and shopping routes.

This paper considers logistics decision support system which deals with transportation mode selection considering transportation and carbon emission cost. Transportation and carbon emission costs vary with the choice of transportation modes and to become competitive companies need to find proper transportation modes for their logistics services. However, due to the restricted capacity of transportation modes, it is difficult to balance transportation and carbon emission costs when designing logistics network including transportation mode choice for each service. Therefore this paper aims to analyze the trade-off relationship between transportation and carbon emission cost in mode selection of intermodal transportation and to provide optimal green logistics strategy. In this paper, the logistics decision support system is designed based on mixed integer programming model. To understand the trade-off relationship of transportation and carbon emission cost, the system is tested with various scenarios including transportation of containers between Seoul and Busan. The analysis results show that, even though sea transportation combined with trucking is competitive in carbon emission per unit distance travelled, the total cost of carbon emission and transportation for the sea transportation may not have competitive advantage over other transportation modes including rail and truck transportation modes. The sea-based intermodal logistics service may induce detours which have negative impacts on the overall carbon emission. The proposed logistics decision support system is expected to play key role in green logistics and supply chain management.

The Dial-a-Ride problem may contain various constraints for pickup-delivery requests, such as time windows and ride time constraints. For a tour, given as a sequence of pickup and delivery stops, there exist polynomial time algorithms to find a schedule respecting these constraints, provided that there exists one. However, if no feasible schedule exists, the natural question is to find a schedule minimising constraint violations. We model a generic fixed-sequence scheduling problem, allowing lateness and ride time violations with linear penalty functions and prove its APX-hardness. We also present an approach leading to a polynomial time algorithm if only the time window constraints can be violated (by late visits). Then, we show that the problem can be solved in polynomial time if all the ride time constraints are bounded by a constant. Lastly, we give a polynomial time algorithm for the instances where all the pickups precede all the deliveries in the sequence of stops.

Transportation decision tool for optimisation of integrated biomass flow with vehicle capacity constraints

A Hybrid Personalized Movie Recommender Based on Heterogeneous Preferences

Today’s competitive business environment has resulted in increasing attention to social responsibilities and customer’s attitudes. Buying and returning have become a common practice for different reasons, including incompleteness or immature failure of the product or its failure to meet the customer’s satisfaction. Before the buying and returning cycle can be handled appropriately, companies need a proper logistics network designed following a proper design strategic. In the present research, a forward and reverse logistics network is proposed for product distribution and collection. The contribution of this paper to the literature is the proposal of a multi-period, multi-echelon, integrated forward and reverse supply chain network design problem with transportation mode selection considered. Different kinds of decisions including the determination of optimum number and locations of facilities, facilities opening time and transportation mode selection among different facilities have been considered in this paper. Due to multi-period nature of the problem, the problem is flexible for future periods. A new mixed integer nonlinear programming model was proposed for the introduced problem considering different levels of facility capacities with the maximum profit objective function. As another contribution, a genetic algorithm was developed to cope with problem’s complexity when the problem size goes large.