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 Subjects -> PHYSICS (Total: 800 journals)     - ELECTRICITY AND MAGNETISM (9 journals)    - MECHANICS (21 journals)    - NUCLEAR PHYSICS (51 journals)    - OPTICS (86 journals)    - PHYSICS (576 journals)    - SOUND (25 journals)    - THERMODYNAMICS (32 journals) PHYSICS (576 journals)            First | 1 2 3 | Last
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 Flexible Services and Manufacturing Journal   [SJR: 1.325]   [H-I: 34]   [1 followers]  Follow         Hybrid journal (It can contain Open Access articles)    ISSN (Print) 1936-6582 - ISSN (Online) 1936-6590    Published by Springer-Verlag  [2355 journals]
• An integrated analysis of capacity allocation and patient scheduling in
presence of seasonal walk-ins
• Authors: Tugba Cayirli; Pinar Dursun; Evrim D. Gunes
Abstract: Abstract This study analyzes two decision levels in appointment system design in the context of clinics that face seasonal demand for scheduled and walk-in patients. The macro-level problem addresses access rules dealing with capacity allocation decisions in terms of how many slots to reserve for walk-ins and scheduled patients given fixed daily capacity for the clinic session. The micro-level problem addresses scheduling rules determining the specific time slots for scheduled arrivals. A fully-integrated simulation model is developed where daily demand actualized at the macro level becomes an input to the micro model that simulates the in-clinic dynamics, such as the arrivals of walk-ins and scheduled patients, as well as stochastic service times. The proposed integrated approach is shown to improve decision-making by considering patient lead times (i.e., indirect wait), direct wait times, and clinic overtime as relevant measures of performance. The traditional methods for evaluating appointment system performance are extended to incorporate multiple trade-offs. This allows combining both direct wait and indirect wait that are generally addressed separately due to time scale differences (minutes vs. days). The results confirm the benefits of addressing both decision levels in appointment system design simultaneously. We investigate how environmental factors affect the performance and the choice of appointment systems. The most critical environmental factors emerge as the demand load, seasonality level, and percentage of walk-ins, listed in the decreasing order of importance.
PubDate: 2018-01-08
DOI: 10.1007/s10696-017-9304-8

• Quay crane scheduling problem with considering tidal impact and fuel
consumption
• Authors: Shucheng Yu; Shuaian Wang; Lu Zhen
Pages: 345 - 368
Abstract: Abstract This study investigates a quay crane scheduling problem with considering the impact of tides in a port and fuel consumption of ships. A mixed-integer nonlinear programming model is proposed. Some nonlinear parts in the model are linearized by approximation approaches. For solving the proposed model in large-scale problem instances, both a local branching based solution method and a particle swarm optimization based solution method are developed. Numerical experiments with some real-world like cases are conducted to validate the effectiveness of the proposed model and the efficiency of the proposed solution methods.
PubDate: 2017-12-01
DOI: 10.1007/s10696-016-9248-4
Issue No: Vol. 29, No. 3-4 (2017)

• Real-time container storage location assignment at a seaport container
transshipment terminal: dispersion levels, yard templates, and sensitivity
analyses
• Authors: Matthew E. H. Petering; Yong Wu; Wenkai Li; Mark Goh; Robert de Souza; Katta G. Murty
Pages: 369 - 402
Abstract: Abstract We present the results of four experiments that link a seaport container terminal’s overall productivity to the system that automatically selects storage locations for export containers in real time as they enter the terminal. Experiment 1 introduces the concept of a container dispersion level and tests the performance of several dispersion levels at various terminals. Experiment 2 considers the math-programming-based yard template concept that has received much attention in recent years. By evaluating yard templates under simulated operating conditions, we provide a link between yard templates and overall terminal productivity that has been absent from previous studies. Experiments 3 and 4 examine how the vessel berthing policy and yard truck traveling speed affect the performance of the storage systems considered in Experiments 1–2. The experiments provide insight into options for real-time decision making at container terminals that is rare in that (1) performance is measured in overall terms and (2) detailed measures of performance for all entities—berths, vessels, groundslots, quay cranes, yard cranes, yard trucks, and containers—involved in every container’s complete lifetime at the terminal are provided.
PubDate: 2017-12-01
DOI: 10.1007/s10696-016-9247-5
Issue No: Vol. 29, No. 3-4 (2017)

• The impact of lanes segmentation and booking levels on a container
terminal gate congestion
• Authors: María D. Gracia; Rosa G. González-Ramírez; Julio Mar-Ortiz
Pages: 403 - 432
Abstract: Abstract Recent trends in port performance improvement include the coordination of intermodal transport logistics to reduce congestion and inefficiencies generated at the gates of the terminals. Congestion at the gate of a terminal generates several problems such as pollution and long waiting times for truck carriers. As part of the strategies and best practices to reduce congestion, some ports worldwide have implemented advanced booking systems in order to coordinate truck arrivals and deliveries at the gate of their container terminals. We will refer to these systems as truck appointment systems. In general terms, a truck appointment system provides a mechanism where truck carriers coordinate their time of arrival at the container terminal based on an advanced booking. In this way, gate managers are able to better plan their port operations and equipment allocation, to reduce the waiting times of trucks and improve the turnaround time for container deliveries. In order to account for the real benefits of such systems, the particular conditions of each container terminal need to be considered. In this paper, a case study of a Chilean port terminal is analyzed. The aim is to provide recommendations that may reduce congestion and improve the container terminal´s gate control of truck arrivals, turnaround times and container deliveries by means of efficient lane segmentation policies. Several scenarios were examined under which different booking levels are considered for an environment in which the arrival of containers can vary significantly from day to day and on a seasonal basis. As a basis for our study a fractional factorial design is performed in order to analyze the impact of controllable factors on two service levels measures, which reduce the number of scenarios needed to obtain robust conclusions.
PubDate: 2017-12-01
DOI: 10.1007/s10696-016-9256-4
Issue No: Vol. 29, No. 3-4 (2017)

• Re-marshalling in automated container yards with terminal appointment
systems
• Authors: Filip Covic
Pages: 433 - 503
Abstract: Abstract As a result of scarce land availability, growing competition and throughput, container terminals are increasing the stacking height of yard blocks to fulfil the demand for storage area. Due to inadequate retrieval information at initial stacking, shuffle moves can occur during retrieval operations as containers may be stacked in a sequence which does not correspond to the actual retrieval sequence. Automated stacking cranes can perform re-marshalling during periods of no crane workload to shift unproductive moves during retrieval operations to phases of idle time. Terminal appointment systems (TAS) enhance landside sequence information when external trucks (XT) announce their arrival beforehand. Under these circumstances, it is beneficial for terminal planers to understand the effects of using re-marshalling in combination with TAS. The purpose of this work is to introduce an online rule-based solution method for the re-marshalling problem with and without TAS. A simulation model of a fully operating yard block is used as environment to compare the proposed method with a benchmark heuristic from the literature. All tests are conducted for single and multiple Rail-Mounted-Gantry-Crane systems with different yard block sizes. It is also shown that solving the re-marshalling problem with the proposed algorithm generates results that reduce shuffle moves by 30% on average and by up to 50% in the best case, while always performing better in the worst case in comparison with not performing re-marshalling. Afterwards, influences on the method of selected TAS parameters are evaluated numerically. Results show that imprecise XT arrival information, not deviating above a certain threshold, significantly contribute to reducing congestion by mitigating XT waiting time and levelling arrival peaks. These benefits can be achieved without imposing restrictions on the arrival schedule preferred by XT companies.
PubDate: 2017-12-01
DOI: 10.1007/s10696-017-9278-6
Issue No: Vol. 29, No. 3-4 (2017)

• port-IO: an integrative mobile cloud platform for real-time inter-terminal
truck routing optimization
• Authors: Leonard Heilig; Eduardo Lalla-Ruiz; Stefan Voß
Pages: 504 - 534
Abstract: Abstract Besides the transport of containers between transshipment areas, an increasing amount of containers needs to be moved to value-added logistics and auxiliary service areas leading to additional container flows within a seaport. Both real-time information exchange and optimization are necessary to efficiently coordinate actors and container movements being involved in respective inter-terminal transport (ITT). However, there is no decision support system facilitating real-time planning and management of ITT taking advantage of modern information technologies and optimization algorithms. In this paper, we formulate the inter-terminal truck routing problem as a novel optimization problem and propose two greedy heuristics and two hybrid simulated annealing algorithms. The computational experiments, conducted using real locations from the Port of Hamburg (Germany), are evaluated extensively. They indicate that the proposed hybrid simulated annealing algorithms are able to report feasible and improved routes within seconds. The optimization component is embedded into a scalable cloud platform that integrates both real-time data from truck drivers using a mobile app and current traffic data. As such, the proposed mobile cloud platform realizes the vision of a decision support system facilitating real-time communication and context-aware ITT planning for reducing costs and the carbon footprint.
PubDate: 2017-12-01
DOI: 10.1007/s10696-017-9280-z
Issue No: Vol. 29, No. 3-4 (2017)

• Analyzing complex service structures in liner shipping network design
• Authors: Kristian Thun; Henrik Andersson; Marielle Christiansen
Pages: 535 - 552
Abstract: Abstract One of the most important strategic decisions of a liner shipping company is the design of a set of cyclic routes, services, for container vessels to provide transport for goods from origins to destinations. This problem is called the liner shipping network design problem (LSNDP). The cyclic nature of the services as well as the possibility of transshipping cargoes between services makes the problem difficult to solve for large instances. Therefore, it is common to make assumptions regarding the structure of the services. We analyze the effect of different structures ranging from simple ones visiting a port once in a service, to butterfly services where one port can be visited twice in a service and a more general structure where every port in a service can be visited more than once. To perform these analyses, we have developed a new mathematical model for the LSNDP where there are no limitations on the number of visits to each port. The model is solved by a branch-and-price method, where we for the sake of computational time have reduced the number of visits per port on a service to a maximum of two. The computational study shows that complex service structures can create more cost-efficient networks and that the objective value can be improved by allowing general service structures even for small sized instances.
PubDate: 2017-12-01
DOI: 10.1007/s10696-016-9262-6
Issue No: Vol. 29, No. 3-4 (2017)

• Determining departure times in dynamic and stochastic maritime routing and
scheduling problems
• Authors: Gregorio Tirado; Lars Magnus Hvattum
Pages: 553 - 571
Abstract: Abstract In maritime transportation, decisions are made in a dynamic setting where many aspects of the future are uncertain. However, most academic literature on maritime transportation considers static and deterministic routing and scheduling problems. This work addresses a gap in the literature on dynamic and stochastic maritime routing and scheduling problems, by focusing on the scheduling of departure times. Five simple strategies for setting departure times are considered, as well as a more advanced strategy which involves solving a mixed integer mathematical programming problem. The latter strategy is significantly better than the other methods, while adding only a small computational effort.
PubDate: 2017-12-01
DOI: 10.1007/s10696-016-9242-x
Issue No: Vol. 29, No. 3-4 (2017)

• Designing a maritime supply chain for distribution of wood pellets: a case
study from southern Norway
• Authors: Kristian Andersen; Henrik Andersson; Marielle Christiansen; Roar Grønhaug; Aslanbek Sjamsutdinov
Pages: 572 - 600
Abstract: Abstract Heat is traditionally produced from non-renewable energy sources. Some of this energy could be produced from renewable energy sources such as wood pellets. In Norway, pellets are today transported by trucks, but it is not profitable to use the road-based transportation network for long distances. Therefore, the Norwegian consumption of pellets is low. The purpose of this paper is to present a feasibility study for evaluating if a maritime supply chain for distribution of pellets along the Norwegian coast is economically viable. A mixed integer programming model is developed as a basis for decision support, and the model utilizes the structure of the geographical network resulting in a novel and innovative formulation of the problem. The main findings are that the operating profit margin is around 8% for the supply chain and that the model is flexible and able to design maritime distribution chains that are suitable for different levels of demand.
PubDate: 2017-12-01
DOI: 10.1007/s10696-016-9269-z
Issue No: Vol. 29, No. 3-4 (2017)

• Stochastic programming for flexible global supply chain planning
• Authors: Yingjie Fan; Frank Schwartz; Stefan Voß; David L. Woodruff
Pages: 601 - 633
Abstract: Abstract When ocean transportation is used, possible disruptions both at sea and on land should be taken into account in the planning process of the affected supply chain. In this paper, a framework to enable flexible global supply chain operational planning in stochastic environments is presented. In order to cope with unexpected events like natural or man-made disasters, flexible international long-distance transportation modes and postponement strategies are taken into account in our supply chain model. In order to balance supply chain costs and the flexibility of supply chains, a two-stage multi-scenario stochastic programming model is developed where the stochastic events are represented by corresponding scenarios. High quality solutions of all our problem instances are generated by using a Python based stochastic programming framework to solve the model. Finally, managerial insights related to flexible supply chain planning in stochastic environments are derived from our computational results.
PubDate: 2017-12-01
DOI: 10.1007/s10696-016-9261-7
Issue No: Vol. 29, No. 3-4 (2017)

• The Cargo Fare Class Mix problem for an intermodal corridor: revenue
management in synchromodal container transportation
• Authors: Bart van Riessen; Rudy R. Negenborn; Rommert Dekker
Pages: 634 - 658
Abstract: Abstract The intermodal hinterland transportation of maritime containers is under pressure from port authorities and shippers to achieve a more integrated, efficient network operation. Current optimisation methods in literature yield limited results in practice, though, as the transportation product structure limits the flexibility to optimise network logistics. Synchromodality aims to overcome this by a new product structure based on differentiation in price and lead time. Each product is considered as a fare class with a related service level, allowing to target different customer segments and to use revenue management for maximising revenue. However, higher priced fare classes come with tighter planning restrictions and must be carefully balanced with lower priced fare classes to match available capacity and optimise network utilisation. Based on the developments of intermodal networks in North West European, such as the network of European Gateway Services, the Cargo Fare Class Mix problem is proposed. Its purpose is to set limits for each fare class at a tactical level, such that the expected revenue is maximised, considering the available capacity at the operational level. Setting limits at the tactical level is important, as it reflects the necessity of long-term agreements between the transportation provider and its customers. A solution method for an intermodal corridor is proposed, considering a single intermodal connection towards a region with multiple destinations. The main purpose of the article is to show that using a limit on each fare class increases revenue and reliability, thereby outperforming existing fare class mix policies, such as Littlewood.
PubDate: 2017-12-01
DOI: 10.1007/s10696-017-9285-7
Issue No: Vol. 29, No. 3-4 (2017)

• The regional port competition with different terminal competition
intensity
• Authors: Mingzhu Yu; Chung-Yee Lee; James Jixian Wang
Pages: 659 - 688
Abstract: Abstract This paper studies the regional container port competition problem which involves two port cities each with its own container terminal. We provide two-level game-theoretic models to characterize several practice-related issues, such as container terminal cooperation situation, and the difference between local in/out and transshipment container throughputs. Numerical experiments are conducted based on the port system in the Pearl River Delta area of China. We find that (1) the two ports in the heterogeneous regional port system should focus on differentiating services rather than compete with each other in every service; (2) the terminal cooperation may not be preferred by both of the port city governments; (3) the developed port will gradually dominate the transshipment container business in the system, leaving the developing port to focus its efforts on the local in/out container business instead.
PubDate: 2017-12-01
DOI: 10.1007/s10696-016-9254-6
Issue No: Vol. 29, No. 3-4 (2017)

• A decomposition heuristic to solve the two-stage lot sizing and scheduling
problem with temporal cleaning
• Authors: Alyne Toscano; Deisemara Ferreira; Reinaldo Morabito
Abstract: Abstract This paper presents a study on the fruit-based beverage lot sizing and scheduling problem. This is a two-stage lot-scheduling problem with some features, such as the presence of buffers between the production stages, mandatory temporal cleanings for the preparation tanks (stage I) and production lines (stage II), and production synchronization between the production stages. To solve this problem, we propose two variations of a two-phase heuristic algorithm by devising a production stage decomposition scheme coupled with a constructive procedure. In the first phase, a one-stage lot sizing is solved by a mixed integer programming model, and in the second phase, scheduling and the synchrony between the stages are carried out using a constructive algorithm. The two variations of the heuristic are: Stage I Heuristics (S1H) and Stage II Heuristics (S2H). In S1H, production stage I is solved by a mathematical model and in S2H, production stage II is solved by another mathematical model. Data from a typical beverage company of a large worldwide brand was used in the computational tests. The results showed that the heuristics are able to find competitive solutions very quickly and that the S2H heuristic performs better than S1H.
PubDate: 2017-12-29
DOI: 10.1007/s10696-017-9303-9

• Simulation-based optimization approach for simultaneous scheduling of
vehicles and machines with processing time uncertainty in FMS
• Authors: James T. Lin; Chun-Chih Chiu; Yu-Hsiang Chang
Abstract: Abstract Many stochastic factors, such as vehicle congestion, deadlock or conflict, or stochastic processing time have significant effects on performance in scheduling problem in flexible manufacturing system (FMS). This paper proposed a simulation-based optimization, L-GAOCBA, to address the simultaneous scheduling of vehicles and machines in FMS. The simulation model is constructed to evaluate the performance of scheduling decision, and includes stochastic elements, such as vehicle congestion, deadlock, and uncertain processing time. Genetic algorithm (GA) combined with local search, L-GA, plays important role in exploring the good design alternative based on simulation output. Optimal computing budget allocation (OCBA) embedded with L-GA is used to allocate the number of replications for reducing simulation replications. The design of experiments is used to analyze and set the parameters of L-GA and OCBA. This study shows that L-GAOCBA is superior for enhancing solution quality and search efficiency.
PubDate: 2017-12-29
DOI: 10.1007/s10696-017-9302-x

• Green logistics solutions
• Authors: Emel Aktas; J. M. Bloemhof; Jan C. Fransoo; Hans-Otto Günther; Werner Jammernegg
PubDate: 2017-12-04
DOI: 10.1007/s10696-017-9301-y

• Yard crane scheduling to minimize total weighted vessel loading time in
container terminals
• Authors: Shell Ying Huang; Ya Li
PubDate: 2017-11-07
DOI: 10.1007/s10696-017-9299-1

• Analysis of a group purchasing organization under demand and price
uncertainty
• Authors: Oktay Karabağ; Barış Tan
PubDate: 2017-11-03
DOI: 10.1007/s10696-017-9300-z

• Finding the trade-off between emissions and disturbance in an urban
context
• Authors: Jasmin Grabenschweiger; Fabien Tricoire; Karl F. Doerner
Abstract: Abstract We introduce the bi-objective emissions disturbance traveling salesman problem (BEDTSP), which aims at minimizing carbon dioxide emissions ( $$\hbox {CO}_2$$ ) as well as disturbance to urban neighborhoods, when planning the tour of a single vehicle delivering goods to customers. Although there exist recent studies on minimizing emissions, we are not aware of any work on minimizing disturbance. We develop four different mathematical models for the BEDTSP. We also develop several data generation strategies for minimizing disturbance. These strategies consider optional nodes, thus allowing detours that yield less disturbance but also possibly more emissions. All models and strategies are compared in an extensive computational study. Experimental results allow us to derive clear guidelines for which model and data generation strategy to use in which context. Following these guidelines, we conduct a case study for the city of Vienna.
PubDate: 2017-10-14
DOI: 10.1007/s10696-017-9297-3

• Two decision models for berth allocation problem under uncertainty
considering service level
• Abstract: Abstract This paper examines the berth allocation problem, which is to assign a quay space and a service time to the vessels that have to be loaded and unloaded at a container terminal within a given planning horizon, with consideration of uncertain factors, mainly including the arrival and operation time of the calling vessels. Based on the concept of conflict, two kinds of service level are proposed and two decision models are constructed to minimize the total operational cost, which includes delay cost and non-optimal berthing location cost. The first model satisfies the service level of a specific scenario and the second one considers the service level across all scenarios. Due to the NP-hardness of the constructed model, a two-stage heuristics algorithm is employed to solve the problem. Finally, extensive numerical experiments are conducted to test the performances of the two proposed models and algorithm and help the port planners make decisions.
PubDate: 2017-09-08
DOI: 10.1007/s10696-017-9295-5

• Editorial of special issue on ocean transportation logistics: making
global supply chain effective
• Authors: Kjetil Fagerholt; Kap-Hwan Kim; Chung-Yee Lee; Qiang Meng; Xiangtong Qi
PubDate: 2017-08-30
DOI: 10.1007/s10696-017-9293-7

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Heriot-Watt University
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